pax_global_header00006660000000000000000000000064142020203740014504gustar00rootroot0000000000000052 comment=376aed4eee42ef9ebc0a6843c01c8b6f19f32d4d pyexcel-0.7.0/000077500000000000000000000000001420202037400131615ustar00rootroot00000000000000pyexcel-0.7.0/.github/000077500000000000000000000000001420202037400145215ustar00rootroot00000000000000pyexcel-0.7.0/.github/FUNDING.yml000066400000000000000000000001121420202037400163300ustar00rootroot00000000000000# These are supported funding model platforms github: chfw patreon: chfw pyexcel-0.7.0/.github/PULL_REQUEST_TEMPLATE.md000066400000000000000000000004611420202037400203230ustar00rootroot00000000000000With your PR, here is a check list: - [ ] Has test cases written? - [ ] Has all code lines tested? - [ ] Has `make format` been run? - [ ] Please update CHANGELOG.yml(not CHANGELOG.rst) - [ ] Has fair amount of documentation if your change is complex - [ ] Agree on NEW BSD License for your contribution pyexcel-0.7.0/.github/workflows/000077500000000000000000000000001420202037400165565ustar00rootroot00000000000000pyexcel-0.7.0/.github/workflows/lint.yml000066400000000000000000000010511420202037400202440ustar00rootroot00000000000000name: lint on: [push, pull_request] jobs: lint: runs-on: ubuntu-latest name: lint code steps: - uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v1 with: python-version: 3.8 - name: lint run: | pip --use-deprecated=legacy-resolver install flake8 pip --use-deprecated=legacy-resolver install -r tests/requirements.txt flake8 --exclude=.moban.d,docs,setup.py --builtins=unicode,xrange,long . python setup.py checkdocs pyexcel-0.7.0/.github/workflows/moban-update.yml000066400000000000000000000014311420202037400216540ustar00rootroot00000000000000on: [push] jobs: run_moban: runs-on: ubuntu-latest name: synchronize templates via moban steps: - uses: actions/checkout@v2 with: ref: ${{ github.head_ref }} token: ${{ secrets.PAT }} - name: Set up Python uses: actions/setup-python@v1 with: python-version: '3.7' - name: check changes run: | pip install moban gitfs2 pypifs moban-jinja2-github moban-ansible moban git status git diff --exit-code - name: Auto-commit if: failure() uses: stefanzweifel/git-auto-commit-action@v4 with: commit_message: >- This is an auto-commit, updating project meta data, such as changelog.rst, contributors.rst pyexcel-0.7.0/.github/workflows/pythonpublish.yml000066400000000000000000000012131420202037400222060ustar00rootroot00000000000000name: Upload Python Package on: release: types: [created] jobs: deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v1 - name: Set up Python uses: actions/setup-python@v1 with: python-version: '3.x' - name: Install dependencies run: | python -m pip install --upgrade pip pip install setuptools wheel twine - name: Build and publish env: TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }} TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }} run: | python setup.py sdist bdist_wheel twine upload dist/* pyexcel-0.7.0/.github/workflows/tests.yml000066400000000000000000000021631420202037400204450ustar00rootroot00000000000000name: Run unit tests on Windows, Ubuntu and Mac on: [push, pull_request] jobs: test: strategy: fail-fast: false matrix: python-version: [3.7, 3.8, 3.9] os: [macOs-latest, ubuntu-latest, windows-latest] exclude: - os: macOs-latest python-version: 3.7 runs-on: ${{ matrix.os }} name: run tests steps: - uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v1 with: python-version: ${{ matrix.python-version }} - name: install run: | pip --use-deprecated=legacy-resolver install -r requirements.txt pip --use-deprecated=legacy-resolver install -r tests/requirements.txt - name: test run: | pip freeze nosetests --verbosity=3 --with-coverage --cover-package pyexcel --cover-package tests tests --with-doctest --doctest-extension=.rst docs/source pyexcel - name: Upload coverage uses: codecov/codecov-action@v1 with: name: ${{ matrix.os }} Python ${{ matrix.python-version }}pyexcel-0.7.0/.gitignore000066400000000000000000000210011420202037400151430ustar00rootroot00000000000000# moban hashes .moban.hashes # 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Alpha', {% endblock %}} {%- block morefiles %} "CONTRIBUTORS.rst", {%- endblock %} pyexcel-0.7.0/.moban.d/docs/000077500000000000000000000000001420202037400155055ustar00rootroot00000000000000pyexcel-0.7.0/.moban.d/docs/source/000077500000000000000000000000001420202037400170055ustar00rootroot00000000000000pyexcel-0.7.0/.moban.d/docs/source/bigdata.rst.jj2000066400000000000000000000003321420202037400216140ustar00rootroot00000000000000================================================================================ Read partial data ================================================================================ {% include "partial-data.rst.jj2" %}pyexcel-0.7.0/.moban.d/docs/source/conf.py000066400000000000000000000006151420202037400203060ustar00rootroot00000000000000{% extends 'docs/source/conf.py.jj2'%} {%block SPHINX_EXTENSIONS%} 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinxcontrib.excel' {%endblock%} {%block custom_doc_theme%} html_theme = 'default' def setup(app): app.add_stylesheet('theme_overrides.css') {%endblock%} {%block additional_mapping%} 'xlrd': ('http://xlrd.readthedocs.io/en/latest/', None) {%endblock%} pyexcel-0.7.0/.moban.d/docs/source/custom_conf.py.jj2000066400000000000000000000006131420202037400223620ustar00rootroot00000000000000{% extends 'docs/source/conf.py.jj2'%} {%block SPHINX_EXTENSIONS%} 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinxcontrib.excel' {%endblock%} {%block custom_doc_theme%} html_theme = 'default' def setup(app): app.add_stylesheet('theme_overrides.css') {%endblock%} {%block additional_mapping%} 'xlrd': ('http://xlrd.readthedocs.io/en/latest/', None) {%endblock%} pyexcel-0.7.0/.moban.d/docs/source/guide.rst.jj2000066400000000000000000000001161420202037400213160ustar00rootroot00000000000000Developer's guide ================= {%include "developer_guide.rst.jj2" %} pyexcel-0.7.0/.moban.d/docs/source/iodrivers.rst.jj2000066400000000000000000000021111420202037400222240ustar00rootroot00000000000000Pyexcel-io Plugin guide =============================== There has been a lot of plugins for reading and writing a file types. Here is a guide for you to choose them. {%include "io-plugins-list.rst.jj2"%} Read and write with performance --------------------------------- Partial reading ********************* **csv**, **tsv** by `pyexcel-io`_, **ods** by `pyexcel-odsr`_, html by `pyexcel-htmlr`_ are implemented in partial read mode. If you only need first half of the file, the second half of the data will not be read into the memory if and only if you use igetters(iget_records, iget_array) and isaveer(isave_as and isave_book_as). Read on demand ******************** **xls** by `pyexcel-xls`_ promised to read sheet on demand. It means if you need only one sheet from a multi-sheet book, the rest of the sheets in the book will not be read. Streaming write ********************* **csv**, **tsv** by `pyexce-io`_ can do streaming write. Write with constant memory ********************************* **xlsx** by `pyexcel-xlsxw`_ can write big data with constant memory consumption. pyexcel-0.7.0/.moban.d/docs/source/pyexcel-index.rst.jj2000066400000000000000000000160001420202037400227760ustar00rootroot00000000000000{%include "header.rst.jj2"%} Introduction ------------- **pyexcel** provides **one** application programming interface to read, manipulate and write data in various excel formats. This library makes information processing involving excel files an enjoyable task. The data in excel files can be turned into :ref:`array or dict` with minimal code and vice versa. This library focuses on data processing using excel files as storage media hence fonts, colors and charts were not and will not be considered. {% include "origin.rst.jj2" %} Support the project ================================================================================ {%include "support.rst.jj2" %} Installation ------------- {%include "installation.rst.jj2" %} Suppose you have the following data in a dictionary: ========= ==== Name Age ========= ==== Adam 28 Beatrice 29 Ceri 30 Dean 26 ========= ==== you can easily save it into an excel file using the following code: .. code-block:: python >>> import pyexcel >>> # make sure you had pyexcel-xls installed >>> a_list_of_dictionaries = [ ... { ... "Name": 'Adam', ... "Age": 28 ... }, ... { ... "Name": 'Beatrice', ... "Age": 29 ... }, ... { ... "Name": 'Ceri', ... "Age": 30 ... }, ... { ... "Name": 'Dean', ... "Age": 26 ... } ... ] >>> pyexcel.save_as(records=a_list_of_dictionaries, dest_file_name="your_file.xls") And here's how to obtain the records: .. code-block:: python >>> import pyexcel as p >>> records = p.iget_records(file_name="your_file.xls") >>> for record in records: ... print("%s is aged at %d" % (record['Name'], record['Age'])) Adam is aged at 28 Beatrice is aged at 29 Ceri is aged at 30 Dean is aged at 26 >>> p.free_resources() Custom data rendering: .. code-block:: python >>> # pip install pyexcel-text==0.2.7.1 >>> import pyexcel as p >>> ccs_insight2 = p.Sheet() >>> ccs_insight2.name = "Worldwide Mobile Phone Shipments (Billions), 2017-2021" >>> ccs_insight2.ndjson = """ ... {"year": ["2017", "2018", "2019", "2020", "2021"]} ... {"smart phones": [1.53, 1.64, 1.74, 1.82, 1.90]} ... {"feature phones": [0.46, 0.38, 0.30, 0.23, 0.17]} ... """.strip() >>> ccs_insight2 pyexcel sheet: +----------------+------+------+------+------+------+ | year | 2017 | 2018 | 2019 | 2020 | 2021 | +----------------+------+------+------+------+------+ | smart phones | 1.53 | 1.64 | 1.74 | 1.82 | 1.9 | +----------------+------+------+------+------+------+ | feature phones | 0.46 | 0.38 | 0.3 | 0.23 | 0.17 | +----------------+------+------+------+------+------+ Advanced usage :fire: ---------------------- If you are dealing with big data, please consider these usages: .. code-block:: python >>> def increase_everyones_age(generator): ... for row in generator: ... row['Age'] += 1 ... yield row >>> def duplicate_each_record(generator): ... for row in generator: ... yield row ... yield row >>> records = p.iget_records(file_name="your_file.xls") >>> io=p.isave_as(records=duplicate_each_record(increase_everyones_age(records)), ... dest_file_type='csv', dest_lineterminator='\n') >>> print(io.getvalue()) Age,Name 29,Adam 29,Adam 30,Beatrice 30,Beatrice 31,Ceri 31,Ceri 27,Dean 27,Dean Two advantages of above method: #. Add as many wrapping functions as you want. #. Constant memory consumption .. testcode:: :hide: >>> import os >>> os.unlink("your_file.xls") For individual excel file formats, please install them as you wish: {%include "plugins-list.rst.jj2"%} For compatibility tables of pyexcel-io plugins, please click `here `_ .. table:: Plugin compatibility table ======== ========== ============= ==================== ============= ============= pyexcel pyexcel-io pyexcel-text pyexcel-handsontable pyexcel-pygal pyexcel-gantt ======== ========== ============= ==================== ============= ============= 0.6.5+ 0.6.2+ 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.15+ 0.5.19+ 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.14 0.5.18 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.10+ 0.5.11+ 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.9.1+ 0.5.9.1+ 0.2.6+ 0.0.1 0.0.1 0.0.1 0.5.4+ 0.5.1+ 0.2.6+ 0.0.1 0.0.1 0.0.1 0.5.0+ 0.4.0+ 0.2.6+ 0.0.1 0.0.1 0.0.1 0.4.0+ 0.3.0+ 0.2.5 ======== ========== ============= ==================== ============= ============= {% include "supported-file-list.rst.jj2" %} Usage ------ .. testcode:: :hide: >>> import pyexcel >>> # make sure you had pyexcel-xls pip-installed >>> a_list_of_dictionaries = [ ... { ... "Name": 'Adam', ... "Age": 28 ... }, ... { ... "Name": 'Beatrice', ... "Age": 29 ... }, ... { ... "Name": 'Ceri', ... "Age": 30 ... }, ... { ... "Name": 'Dean', ... "Age": 26 ... } ... ] >>> pyexcel.save_as(records=a_list_of_dictionaries, dest_file_name="your_file.xls") Suppose you want to process the following excel data : .. pyexcel-table:: ---pyexcel:example table--- Name,Age Adam,28 Beatrice,29 Ceri,30 Dean,26 Here are the example usages: .. code-block:: python >>> import pyexcel as pe >>> records = pe.iget_records(file_name="your_file.xls") >>> for record in records: ... print("%s is aged at %d" % (record['Name'], record['Age'])) Adam is aged at 28 Beatrice is aged at 29 Ceri is aged at 30 Dean is aged at 26 >>> pe.free_resources() .. testcode:: :hide: >>> import os >>> os.unlink("your_file.xls") Design -------------------- .. toctree:: design capability architecture New tutorial -------------- .. toctree:: quickstart two-liners iodrivers webdev renderers sheet book database Old tutorial -------------- .. toctree:: tutorial_file tutorial06 tutorial_data_conversion attributes.rst bigdata tutorial tutorial05 tutorial02 tutorial03 tutorial04 Cook book ---------- .. toctree:: cookbook sources Real world cases ------------------- .. toctree:: answers showcases/db_injection API documentation ------------------ .. toctree:: :maxdepth: 2 api iapi Developer's guide ------------------ .. toctree:: guide logging pyinstaller plugin_howto Change log ------------------- .. toctree:: :maxdepth: 2 migration_guide changelog Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` pyexcel-0.7.0/.moban.d/docs/source/quickstart.rst.jj2000066400000000000000000000000711420202037400224130ustar00rootroot00000000000000{% set sphinx=True %} {% include "one-liners.rst.jj2" %}pyexcel-0.7.0/.moban.d/docs/source/two-liners.rst.jj2000066400000000000000000000000711420202037400223240ustar00rootroot00000000000000{% set sphinx=True %} {% include "two-liners.rst.jj2" %}pyexcel-0.7.0/.moban.d/minimum_requirements.txt.jj2000066400000000000000000000001171420202037400222570ustar00rootroot00000000000000{%include "min_requirements.txt.jj2" %} pyexcel-xlsx==0.4.1 pyexcel-xls==0.4.1 pyexcel-0.7.0/.moban.d/one-liners.rst.jj2000066400000000000000000000406521420202037400200550ustar00rootroot00000000000000One liners ================================================================================ This section shows you how to get data from your excel files and how to export data to excel files in **one line** Read from the excel files -------------------------------------------------------------------------------- Get a list of dictionaries ******************************************************************************** {% if sphinx %} .. testcode:: :hide: >>> import os >>> import pyexcel as p >>> content=""" ... Name,Period,Representative Composers ... Medieval,c.1150-c.1400,"Machaut, Landini" ... Renaissance,c.1400-c.1600,"Gibbons, Frescobaldi" ... Baroque,c.1600-c.1750,"JS Bach, Vivaldi" ... Classical,c.1750-c.1830,"Joseph Haydn, Wolfgan Amadeus Mozart" ... Earley Romantic,c.1830-c.1860,"Chopin, Mendelssohn, Schumann, Liszt" ... Late Romantic,c.1860-c.1920,"Wagner,Verdi" ... """.strip() >>> sheet = p.get_sheet(file_content=content, file_type='csv') >>> sheet.save_as("your_file.xls") {% endif %} Suppose you want to process `History of Classical Music `_: {% if sphinx %} .. pyexcel-table:: ---pyexcel:History of Classical Music--- Name,Period,Representative Composers Medieval,c.1150-c.1400,"Machaut, Landini" Renaissance,c.1400-c.1600,"Gibbons, Frescobaldi" Baroque,c.1600-c.1750,"JS Bach, Vivaldi" Classical,c.1750-c.1830,"Joseph Haydn, Wolfgan Amadeus Mozart" Earley Romantic,c.1830-c.1860,"Chopin, Mendelssohn, Schumann, Liszt" Late Romantic,c.1860-c.1920, "Wagner,Verdi" {% else %} History of Classical Music: =============== ============= ==================================== Name Period Representative Composers Medieval c.1150-c.1400 Machaut, Landini Renaissance c.1400-c.1600 Gibbons, Frescobaldi Baroque c.1600-c.1750 JS Bach, Vivaldi Classical c.1750-c.1830 Joseph Haydn, Wolfgan Amadeus Mozart Earley Romantic c.1830-c.1860 Chopin, Mendelssohn, Schumann, Liszt Late Romantic c.1860-c.1920 Wagner,Verdi =============== ============= ==================================== {% endif %} Let's get a list of dictionary out from the xls file: .. code-block:: python >>> records = p.get_records(file_name="your_file.xls") And let's check what do we have: .. code-block:: python >>> for row in records: ... print(f"{row['Representative Composers']} are from {row['Name']} period ({row['Period']})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Earley Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) Get two dimensional array ******************************************************************************** Instead, what if you have to use `pyexcel.get_array` to do the same: .. code-block:: python >>> for row in p.get_array(file_name="your_file.xls", start_row=1): ... print(f"{row[2]} are from {row[0]} period ({row[1]})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Earley Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) where `start_row` skips the header row. Get a dictionary ******************************************************************************** You can get a dictionary too: Now let's get a dictionary out from the spreadsheet: .. code-block:: python >>> my_dict = p.get_dict(file_name="your_file.xls", name_columns_by_row=0) And check what do we have: .. code-block:: python >>> from pyexcel._compact import OrderedDict >>> isinstance(my_dict, OrderedDict) True >>> for key, values in my_dict.items(): ... print(key + " : " + ','.join([str(item) for item in values])) Name : Medieval,Renaissance,Baroque,Classical,Earley Romantic,Late Romantic Period : c.1150-c.1400,c.1400-c.1600,c.1600-c.1750,c.1750-c.1830,c.1830-c.1860,c.1860-c.1920 Representative Composers : Machaut, Landini,Gibbons, Frescobaldi,JS Bach, Vivaldi,Joseph Haydn, Wolfgan Amadeus Mozart,Chopin, Mendelssohn, Schumann, Liszt,Wagner,Verdi Please note that my_dict is an OrderedDict. Get a dictionary of two dimensional array ******************************************************************************** {% if sphinx %} .. testcode:: :hide: >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> data = OrderedDict() >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.save_book_as(bookdict=data, dest_file_name="book.xls") {% endif %} Suppose you have a multiple sheet book as the following: {% if sphinx %} .. pyexcel-table:: ---pyexcel:Sheet 1--- 1,2,3 4,5,6 7,8,9 ---pyexcel--- ---pyexcel:Sheet 2--- X,Y,Z 1,2,3 4,5,6 ---pyexcel--- ---pyexcel:Sheet 3--- O,P,Q 3,2,1 4,3,2 {% else %} pyexcel:Sheet 1: ===================== = = 1 2 3 4 5 6 7 8 9 ===================== = = pyexcel:Sheet 2: ===================== = = X Y Z 1 2 3 4 5 6 ===================== = = pyexcel:Sheet 3: ===================== = = O P Q 3 2 1 4 3 2 ===================== = = {% endif %} Here is the code to obtain those sheets as a single dictionary: .. code-block:: python >>> book_dict = p.get_book_dict(file_name="book.xls") And check: .. code-block:: python >>> isinstance(book_dict, OrderedDict) True >>> import json >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} {% if sphinx %} .. testcode:: :hide: >>> import os >>> os.unlink("book.xls") {% endif %} Write data --------------------------------------------- Export an array ********************** Suppose you have the following array: .. code-block:: python >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file : .. code-block:: python >>> p.save_as(array=data, dest_file_name="example.xls") Let's verify it: .. code-block:: python >>> p.get_sheet(file_name="example.xls") pyexcel_sheet1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ {% if sphinx %} .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") {% endif %} And here is the code to save it as a csv file : .. code-block:: python >>> p.save_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':') Let's verify it: .. code-block:: python >>> with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9 Export a list of dictionaries ********************************** .. code-block:: python >>> records = [ ... {"year": 1903, "country": "Germany", "speed": "206.7km/h"}, ... {"year": 1964, "country": "Japan", "speed": "210km/h"}, ... {"year": 2008, "country": "China", "speed": "350km/h"} ... ] >>> p.save_as(records=records, dest_file_name='high_speed_rail.xls') Export a dictionary of single key value pair ******************************************************************************** .. code-block:: python >>> henley_on_thames_facts = { ... "area": "5.58 square meters", ... "population": "11,619", ... "civial parish": "Henley-on-Thames", ... "latitude": "51.536", ... "longitude": "-0.898" ... } >>> p.save_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx') Export a dictionary of single dimensonal array ******************************************************************************** .. code-block:: python >>> ccs_insights = { ... "year": ["2017", "2018", "2019", "2020", "2021"], ... "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90], ... "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17] ... } >>> p.save_as(adict=ccs_insights, dest_file_name='ccs.csv') Export a dictionary of two dimensional array as a book ******************************************************************************** Suppose you want to save the below dictionary to an excel file : .. code-block:: python >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } Here is the code: .. code-block:: python >>> p.save_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... ) If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example: .. code-block:: python >>> data = OrderedDict() >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.save_book_as(bookdict=data, dest_file_name="book.xls") Let's verify its order: .. code-block:: python >>> book_dict = p.get_book_dict(file_name="book.xls") >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Please notice that "Sheet 2" is the first item in the *book_dict*, meaning the order of sheets are preserved. Transcoding ------------------------------------------- .. note:: Please note that `pyexcel-cli` can perform file transcoding at command line. No need to open your editor, save the problem, then python run. {% if sphinx %} .. testcode:: :hide: >>> import datetime >>> data = [ ... ["name", "weight", "birth"], ... ["Adam", 3.4, datetime.date(2015, 2, 3)], ... ["Smith", 4.2, datetime.date(2014, 11, 12)] ... ] >>> p.save_as(array=data, dest_file_name="birth.xls") {% endif %} The following code does a simple file format transcoding from xls to csv: .. code-block:: python >>> p.save_as(file_name="birth.xls", dest_file_name="birth.csv") Again it is really simple. Let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.csv") >>> sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. NOTE:: Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job. Let use previous example and save it as xlsx instead .. code-block:: python >>> p.save_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension Again let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.xlsx") >>> sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ Excel book merge and split operation in one line -------------------------------------------------------------------------------- Merge all excel files in directory into a book where each file become a sheet ******************************************************************************** The following code will merge every excel files into one file, say "output.xls": .. code-block:: python from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_csv_directory\*.csv"), "output.xls") You can mix and match with other excel formats: xls, xlsm and ods. For example, if you are sure you have only xls, xlsm, xlsx, ods and csv files in `your_excel_file_directory`, you can do the following: .. code-block:: python from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_excel_file_directory\*.*"), "output.xls") Split a book into single sheet files **************************************** {% if sphinx %} .. testcode:: :hide: >>> content = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = p.Book(content) >>> book.save_as("megabook.xls") {% endif %} Suppose you have many sheets in a work book and you would like to separate each into a single sheet excel file. You can easily do this: .. code-block:: python >>> from pyexcel.cookbook import split_a_book >>> split_a_book("megabook.xls", "output.xls") >>> import glob >>> outputfiles = glob.glob("*_output.xls") >>> for file in sorted(outputfiles): ... print(file) ... Sheet 1_output.xls Sheet 2_output.xls Sheet 3_output.xls for the output file, you can specify any of the supported formats {% if sphinx %} .. testcode:: :hide: >>> os.unlink("Sheet 1_output.xls") >>> os.unlink("Sheet 2_output.xls") >>> os.unlink("Sheet 3_output.xls") {% endif %} Extract just one sheet from a book ************************************* Suppose you just want to extract one sheet from many sheets that exists in a work book and you would like to separate it into a single sheet excel file. You can easily do this: .. code-block:: python >>> from pyexcel.cookbook import extract_a_sheet_from_a_book >>> extract_a_sheet_from_a_book("megabook.xls", "Sheet 1", "output.xls") >>> if os.path.exists("Sheet 1_output.xls"): ... print("Sheet 1_output.xls exists") ... Sheet 1_output.xls exists for the output file, you can specify any of the supported formats {% if sphinx %} .. testcode:: :hide: >>> os.unlink("Sheet 1_output.xls") >>> os.unlink("megabook.xls") >>> os.unlink('birth.xls') >>> os.unlink('birth.csv') >>> os.unlink('birth.xlsx') >>> os.unlink('high_speed_rail.xls') >>> os.unlink('henley.xlsx') >>> os.unlink('ccs.csv') >>> os.unlink("book.xls") >>> os.unlink("your_file.xls") >>> os.unlink("example.csv") {% endif %}pyexcel-0.7.0/.moban.d/partial-data.rst.jj2000066400000000000000000000120061420202037400203350ustar00rootroot00000000000000 When you are dealing with huge amount of data, e.g. 64GB, obviously you would not like to fill up your memory with those data. What you may want to do is, record data from Nth line, take M records and stop. And you only want to use your memory for the M records, not for beginning part nor for the tail part. Hence partial read feature is developed to read partial data into memory for processing. You can paginate by row, by column and by both, hence you dictate what portion of the data to read back. But remember only row limit features help you save memory. Let's you use this feature to record data from Nth column, take M number of columns and skip the rest. You are not going to reduce your memory footprint. Why did not I see above benefit? -------------------------------------------------------------------------------- This feature depends heavily on the implementation details. `pyexcel-xls`_ (xlrd), `pyexcel-xlsx`_ (openpyxl), `pyexcel-ods`_ (odfpy) and `pyexcel-ods3`_ (pyexcel-ezodf) will read all data into memory. Because xls, xlsx and ods file are effective a zipped folder, all four will unzip the folder and read the content in xml format in **full**, so as to make sense of all details. Hence, during the partial data is been returned, the memory consumption won't differ from reading the whole data back. Only after the partial data is returned, the memory comsumption curve shall jump the cliff. So pagination code here only limits the data returned to your program. With that said, `pyexcel-xlsxr`_, `pyexcel-odsr`_ and `pyexcel-htmlr`_ DOES read partial data into memory. Those three are implemented in such a way that they consume the xml(html) when needed. When they have read designated portion of the data, they stop, even if they are half way through. In addition, pyexcel's csv readers can read partial data into memory too. {% if sphinx %} .. testcode:: :hide: >>> import sys >>> if sys.version_info[0] < 3: ... from StringIO import StringIO ... else: ... from io import StringIO >>> from pyexcel_io._compact import OrderedDict {% endif %} Let's assume the following file is a huge csv file: .. code-block:: python >>> import datetime >>> import pyexcel as pe >>> data = [ ... [1, 21, 31], ... [2, 22, 32], ... [3, 23, 33], ... [4, 24, 34], ... [5, 25, 35], ... [6, 26, 36] ... ] >>> pe.save_as(array=data, dest_file_name="your_file.csv") And let's pretend to read partial data: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_row=2, row_limit=3) your_file.csv: +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ And you could as well do the same for columns: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_column=1, column_limit=2) your_file.csv: +----+----+ | 21 | 31 | +----+----+ | 22 | 32 | +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ | 26 | 36 | +----+----+ Obvious, you could do both at the same time: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", ... start_row=2, row_limit=3, ... start_column=1, column_limit=2) your_file.csv: +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ The pagination support is available across all pyexcel plugins. .. note:: No column pagination support for query sets as data source. Formatting while transcoding a big data file -------------------------------------------------------------------------------- If you are transcoding a big data set, conventional formatting method would not help unless a on-demand free RAM is available. However, there is a way to minimize the memory footprint of pyexcel while the formatting is performed. Let's continue from previous example. Suppose we want to transcode "your_file.csv" to "your_file.xls" but increase each element by 1. What we can do is to define a row renderer function as the following: .. code-block:: python >>> def increment_by_one(row): ... for element in row: ... yield element + 1 Then pass it onto save_as function using row_renderer: .. code-block:: python >>> pe.isave_as(file_name="your_file.csv", ... row_renderer=increment_by_one, ... dest_file_name="your_file.xlsx") .. note:: If the data content is from a generator, isave_as has to be used. We can verify if it was done correctly: .. code-block:: python >>> pe.get_sheet(file_name="your_file.xlsx") your_file.csv: +---+----+----+ | 2 | 22 | 32 | +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ | 6 | 26 | 36 | +---+----+----+ | 7 | 27 | 37 | +---+----+----+ {% if sphinx %} .. testcode:: :hide: >>> import os >>> os.unlink("your_file.csv") >>> os.unlink("your_file.xlsx") {% endif %}pyexcel-0.7.0/.moban.d/pyexcel-README.rst.jj2000066400000000000000000000025011420202037400203750ustar00rootroot00000000000000{%extends "BASIC-README.rst.jj2"%} {%block features%} Feature Highlights =================== {% include "supported-file-list.rst.jj2" %} .. image:: https://github.com/pyexcel/pyexcel/raw/dev/docs/source/_static/images/architecture.svg 1. One application programming interface(API) to handle multiple data sources: * physical file * memory file * SQLAlchemy table * Django Model * Python data structures: dictionary, records and array 2. One API to read and write data in various excel file formats. 3. For large data sets, data streaming are supported. A genenerator can be returned to you. Checkout iget_records, iget_array, isave_as and isave_book_as. {% endblock %} {%block usage%} {%include "one-liners.rst.jj2" %} Hidden feature: partial read =============================================== Most pyexcel users do not know, but other library users were requesting `partial read `_ {%include "partial-data.rst.jj2" %} {%include "two-liners.rst.jj2" %} Available Plugins ================= {% include "plugins-list.rst.jj2" %} Acknowledgement =============== All great work have been done by odf, ezodf, xlrd, xlwt, tabulate and other individual developers. This library unites only the data access code. {%endblock%} {%block development_guide%} {%endblock%} pyexcel-0.7.0/.moban.d/pyexcel-travis.yml.jj2000066400000000000000000000003621420202037400207440ustar00rootroot00000000000000{% extends "travis.yml.jj2" %} {%block extra_matrix %} matrix: include: - python: 3.6 env: MINREQ=1 {%endblock%} {%block custom_python_versions%} python: - 3.8 - 3.7 - 3.6 {%endblock%} {%block pypi_deployment%} {%endblock %}pyexcel-0.7.0/.moban.d/supported-file-list.rst.jj2000066400000000000000000000020511420202037400217040ustar00rootroot00000000000000.. table:: A list of supported file formats ============ ======================================================= file format definition ============ ======================================================= csv comma separated values tsv tab separated values csvz a zip file that contains one or many csv files tsvz a zip file that contains one or many tsv files xls a spreadsheet file format created by MS-Excel 97-2003 xlsx MS-Excel Extensions to the Office Open XML SpreadsheetML File Format. xlsm an MS-Excel Macro-Enabled Workbook file ods open document spreadsheet fods flat open document spreadsheet json java script object notation html html table of the data structure simple simple presentation rst rStructured Text presentation of the data mediawiki media wiki table ============ ======================================================= pyexcel-0.7.0/.moban.d/tests/000077500000000000000000000000001420202037400157175ustar00rootroot00000000000000pyexcel-0.7.0/.moban.d/tests/custom_requirements.txt.jj2000066400000000000000000000004231420202037400232600ustar00rootroot00000000000000{% extends 'tests/requirements.txt.jj2' %} {%block extras %} SQLAlchemy flask lxml==4.0.0;platform_python_implementation=="PyPy" pyexcel-xlsx>=0.4.1 pyexcel-xls>=0.4.1 pyexcel-text>=0.2.0 psutil mock moban black;python_version>="3.6" isort;python_version>="3.6" {%endblock%} pyexcel-0.7.0/.moban.d/two-liners.rst.jj2000066400000000000000000000240571420202037400201060ustar00rootroot00000000000000Stream APIs for big file : A set of two liners ================================================================================ When you are dealing with **BIG** excel files, you will want **pyexcel** to use constant memory. This section shows you how to get data from your **BIG** excel files and how to export data to excel files in **two lines** at most, without eating all your computer memory. Two liners for get data from big excel files -------------------------------------------------------------------------------- Get a list of dictionaries ******************************************************************************** {% if sphinx %} .. testcode:: :hide: >>> import os >>> import pyexcel as p >>> content=""" ... Coffees,Serving Size,Caffeine (mg) ... Starbucks Coffee Blonde Roast,venti(20 oz),475 ... Dunkin' Donuts Coffee with Turbo Shot,large(20 oz.),398 ... Starbucks Coffee Pike Place Roast,grande(16 oz.),310 ... Panera Coffee Light Roast,regular(16 oz.),300 ... """.strip() >>> sheet = p.get_sheet(file_content=content, file_type='csv') >>> sheet.save_as("your_file.xls") {% endif %} {% if sphinx %} Suppose you want to process the following coffee data: .. pyexcel-table:: ---pyexcel:Huge list of coffeine drinks--- Coffees,Serving Size,Caffeine (mg) Starbucks Coffee Blonde Roast,venti(20 oz),475 Dunkin' Donuts Coffee with Turbo Shot,large(20 oz.),398 Starbucks Coffee Pike Place Roast,grande(16 oz.),310 Panera Coffee Light Roast,regular(16 oz.),300 {% else %} Suppose you want to process the following coffee data again: Top 5 coffeine drinks: ===================================== =============== ============= Coffees Serving Size Caffeine (mg) Starbucks Coffee Blonde Roast venti(20 oz) 475 Dunkin' Donuts Coffee with Turbo Shot large(20 oz.) 398 Starbucks Coffee Pike Place Roast grande(16 oz.) 310 Panera Coffee Light Roast regular(16 oz.) 300 ===================================== =============== ============= {% endif %} Let's get a list of dictionary out from the xls file: .. code-block:: python >>> records = p.iget_records(file_name="your_file.xls") And let's check what do we have: .. code-block:: python >>> for r in records: ... print(f"{r['Serving Size']} of {r['Coffees']} has {r['Caffeine (mg)']} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg Please do not forgot the second line to close the opened file handle: .. code-block:: python >>> p.free_resources() Get two dimensional array ******************************************************************************** Instead, what if you have to use `pyexcel.get_array` to do the same: .. code-block:: python >>> for row in p.iget_array(file_name="your_file.xls", start_row=1): ... print(f"{row[1]} of {row[0]} has {row[2]} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg Again, do not forgot the second line: .. code-block:: python >>> p.free_resources() where `start_row` skips the header row. Data export in one liners --------------------------------------------- Export an array ********************** Suppose you have the following array: .. code-block:: python >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file : .. code-block:: python >>> p.isave_as(array=data, dest_file_name="example.xls") But the following line is not required because the data source are not file sources: .. code-block:: python >>> # p.free_resources() Let's verify it: .. code-block:: python >>> p.get_sheet(file_name="example.xls") pyexcel_sheet1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ {% if sphinx %} .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") {% endif %} And here is the code to save it as a csv file : .. code-block:: python >>> p.isave_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':') Let's verify it: .. code-block:: python >>> with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9 Export a list of dictionaries ********************************** .. code-block:: python >>> records = [ ... {"year": 1903, "country": "Germany", "speed": "206.7km/h"}, ... {"year": 1964, "country": "Japan", "speed": "210km/h"}, ... {"year": 2008, "country": "China", "speed": "350km/h"} ... ] >>> p.isave_as(records=records, dest_file_name='high_speed_rail.xls') Export a dictionary of single key value pair ******************************************************************************** .. code-block:: python >>> henley_on_thames_facts = { ... "area": "5.58 square meters", ... "population": "11,619", ... "civial parish": "Henley-on-Thames", ... "latitude": "51.536", ... "longitude": "-0.898" ... } >>> p.isave_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx') Export a dictionary of single dimensonal array ******************************************************************************** .. code-block:: python >>> ccs_insights = { ... "year": ["2017", "2018", "2019", "2020", "2021"], ... "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90], ... "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17] ... } >>> p.isave_as(adict=ccs_insights, dest_file_name='ccs.csv') >>> p.free_resources() Export a dictionary of two dimensional array as a book ******************************************************************************** Suppose you want to save the below dictionary to an excel file : .. code-block:: python >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } Here is the code: .. code-block:: python >>> p.isave_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... ) If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example: .. code-block:: python >>> from pyexcel._compact import OrderedDict >>> data = OrderedDict() >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.isave_book_as(bookdict=data, dest_file_name="book.xls") >>> p.free_resources() Let's verify its order: .. code-block:: python >>> import json >>> book_dict = p.get_book_dict(file_name="book.xls") >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Please notice that "Sheet 2" is the first item in the *book_dict*, meaning the order of sheets are preserved. File format transcoding on one line ------------------------------------------- .. note:: Please note that the following file transcoding could be with zero line. Please install pyexcel-cli and you will do the transcode in one command. No need to open your editor, save the problem, then python run. {% if sphinx %} .. testcode:: :hide: >>> import datetime >>> data = [ ... ["name", "weight", "birth"], ... ["Adam", 3.4, datetime.date(2015, 2, 3)], ... ["Smith", 4.2, datetime.date(2014, 11, 12)] ... ] >>> p.isave_as(array=data, dest_file_name="birth.xls") {% endif %} The following code does a simple file format transcoding from xls to csv: .. code-block:: python >>> import pyexcel >>> p.save_as(file_name="birth.xls", dest_file_name="birth.csv") Again it is really simple. Let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.csv") >>> sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. note:: Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job. Let use previous example and save it as xlsx instead .. code-block:: python >>> import pyexcel >>> p.isave_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension Again let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.xlsx") >>> sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ {% if sphinx %} .. testcode:: :hide: >>> import os >>> os.unlink('ccs.csv') >>> os.unlink('book.xls') {% endif %} pyexcel-0.7.0/.moban.d/version.txt000066400000000000000000000000761420202037400170060ustar00rootroot00000000000000__version__ = '{{current_version}}' __author__ = '{{author}}' pyexcel-0.7.0/.moban.yml000066400000000000000000000014621420202037400150610ustar00rootroot00000000000000overrides: "git://github.com/pyexcel/pyexcel-mobans!/mobanfile.yaml" configuration: configuration: pyexcel.yml targets: - setup.py: custom_setup.py.jj2 - "docs/source/conf.py": "docs/source/custom_conf.py.jj2" - "docs/source/quickstart.rst": "docs/source/quickstart.rst.jj2" - "docs/source/two-liners.rst": "docs/source/two-liners.rst.jj2" - "docs/source/bigdata.rst": "docs/source/bigdata.rst.jj2" - MANIFEST.in: CUSTOM_MANIFEST.in.jj2 - README.rst: pyexcel-README.rst.jj2 - "docs/source/guide.rst": "docs/source/guide.rst.jj2" - .gitignore: commons-gitignore.jj2 - "pyexcel/__version__.py": version.txt - "docs/source/index.rst": "docs/source/pyexcel-index.rst.jj2" - "tests/requirements.txt": "tests/custom_requirements.txt.jj2" - "min_requirements.txt": "minimum_requirements.txt.jj2" pyexcel-0.7.0/.readthedocs.yml000066400000000000000000000007621420202037400162540ustar00rootroot00000000000000# .readthedocs.yml # Read the Docs configuration file # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details # Required version: 2 # Build documentation in the docs/ directory with Sphinx sphinx: configuration: docs/source/conf.py # Optionally build your docs in additional formats such as PDF formats: - pdf # Optionally set the version of Python and requirements required to build your docs python: version: 3.7 install: - requirements: docs/requirements.txt pyexcel-0.7.0/CHANGELOG.rst000066400000000000000000000467321420202037400152160ustar00rootroot00000000000000Change log ================================================================================ 0.7.0 - 12.2.2022 -------------------------------------------------------------------------------- **Fixed** #. `#250 `_: RecursionError raised on deepcopy of a sheet **Updated** #. `#255 `_: pyexcel.get_array documentation page seems to be a copy of pyexcel.get_sheet **Removed** #. `#249 `_: drop the support for dummy import statements pyexcel.ext.* 0.6.7 - 12.09.2021 -------------------------------------------------------------------------------- **Updated** #. `#243 `_: fix small typo. #. add chardet as explicit dependency 0.6.6 - 14.11.2020 -------------------------------------------------------------------------------- **Updated** #. `#233 `_: dynamically resize the table matrix on set_value. sheet['AA1'] = 'test' will work in this release. 0.6.5 - 8.10.2020 -------------------------------------------------------------------------------- **Updated** #. update queryset source to work with pyexcel-io 0.6.0 0.6.4 - 18.08.2020 -------------------------------------------------------------------------------- **Updated** #. `#219 `_: book created from dict no longer discards order. 0.6.3 - 01.08.2020 -------------------------------------------------------------------------------- **fixed** #. `#214 `_: remove leading and trailing whitespace for column names **removed** #. python 2 compatibility have been permanently removed. 0.6.2 - 8.06.2020 -------------------------------------------------------------------------------- **fixed** #. `#109 `_: Control the column order when write the data output 0.6.1 - 02.05.2020 -------------------------------------------------------------------------------- **fixed** #. `#203 `_: texttable was dropped out in 0.6.0 as compulsary dependency. end user may experience it when a sheet/table is printed in a shell. otherwise, new user of pyexcel won't see it. As of release date, no issues were created 0.6.0 - 21.04.2020 -------------------------------------------------------------------------------- **updated** #. `#199 `_: += in place; = + shall return new instance #. `#195 `_: documentation update. however small is welcome **removed** #. Dropping the test support for python version lower than 3.6. v0.6.0 should work with python 2.7 but is not guaranteed to work. Please upgrade to python 3.6+. 0.5.15 - 07.07.2019 -------------------------------------------------------------------------------- **updated** #. `#185 `_: fix a bug with http data source. The real fix lies in pyexcel-io v0.5.19. this release just put the version requirement in. 0.5.14 - 12.06.2019 -------------------------------------------------------------------------------- **updated** #. `#182 `_: support dest_force_file_type on save_as and save_book_as 0.5.13 - 12.03.2019 -------------------------------------------------------------------------------- **updated** #. `#176 `_: get_sheet {IndexError}list index out of range // XLSX can't be opened 0.5.12 - 25.02.2019 -------------------------------------------------------------------------------- **updated** #. `#174 `_: include examples in tarbar 0.5.11 - 22.02.2019 -------------------------------------------------------------------------------- **updated** #. `#169 `_: remove pyexcel-handsontalbe in test #. add tests, and docs folder in distribution 0.5.10 - 3.12.2018 -------------------------------------------------------------------------------- **updated** #. `#157 `_: Please use scan_plugins_regex, which lml 0.7 complains about #. updated dependency on pyexcel-io to 0.5.11 0.5.9.1 - 30.08.2018 -------------------------------------------------------------------------------- **updated** #. to require pyexcel-io 0.5.9.1 and use lml at least version 0.0.2 0.5.9 - 30.08.2018 -------------------------------------------------------------------------------- **added** #. support __len__. len(book) returns the number of sheets and len(sheet) returns the number of rows #. `#144 `_: memory-efficient way to read sheet names. #. `#148 `_: force_file_type is introduced. When reading a file on a disk, this parameter allows you to choose a reader. i.e. csv reader for a text file. xlsx reader for a xlsx file but with .blob file suffix. #. finally, pyexcel got import pyexcel.__version__ **updated** #. Sheet.to_records() returns a generator now, saving memory #. `#115 `_, Fix set membership test to run faster in python2 #. `#140 `_, Direct writes to cells yield weird results 0.5.8 - 26.03.2018 -------------------------------------------------------------------------------- **added** #. `#125 `_, sort book sheets **updated** #. `#126 `_, dest_sheet_name in save_as will set the sheet name in the output #. `#115 `_, Fix set membership test to run faster in python2 0.5.7 - 11.01.2018 -------------------------------------------------------------------------------- **added** #. `pyexcel-io#46 `_, expose `bulk_save` to developer. 0.5.6 - 23.10.2017 -------------------------------------------------------------------------------- **removed** #. `#105 `_, remove gease from setup_requires, introduced by 0.5.5. #. removed testing against python 2.6 #. `#103 `_, include LICENSE file in MANIFEST.in, meaning LICENSE file will appear in the released tar ball. 0.5.5 - 20.10.2017 -------------------------------------------------------------------------------- **removed** #. `#105 `_, remove gease from setup_requires, introduced by 0.5.5. #. removed testing against python 2.6 #. `#103 `_, include LICENSE file in MANIFEST.in, meaning LICENSE file will appear in the released tar ball. 0.5.4 - 27.09.2017 -------------------------------------------------------------------------------- **fixed** #. `#100 `_, Sheet.to_dict() gets out of range error because there is only one row. **updated** #. Updated the baseline of pyexcel-io to 0.5.1. 0.5.3 - 01-08-2017 -------------------------------------------------------------------------------- **added** #. `#95 `_, respect the order of records in iget_records, isave_as and save_as. #. `#97 `_, new feature to allow intuitive initialization of pyexcel.Book. 0.5.2 - 26-07-2017 -------------------------------------------------------------------------------- **Updated** #. embeded the enabler for pyexcel-htmlr. http source does not support text/html as mime type. 0.5.1 - 12.06.2017 -------------------------------------------------------------------------------- **Updated** #. support saving SheetStream and BookStream to database targets. This is needed for pyexcel-webio and its downstream projects. 0.5.0 - 19.06.2017 -------------------------------------------------------------------------------- **Added** #. Sheet.top() and Sheet.top_left() for data browsing #. add html as default rich display in Jupyter notebook when pyexcel-text and pyexcel-chart is installed #. add svg as default rich display in Jupyter notebook when pyexcel-chart and one of its implementation plugin(pyexcel-pygal, etc.) are is installed #. new dictionary source supported: a dictionary of key value pair could be read into a sheet. #. added dynamic external plugin loading. meaning if a pyexcel plugin is installed, it will be loaded implicitly. And this change would remove unnecessary info log for those who do not use pyexcel-text and pyexcel-gal #. save_book_as before 0.5.0 becomes isave_book_as and save_book_as in 0.5.0 convert BookStream to Book before saving. #. `#83 `_, file closing mechanism is enfored. free_resource is added and it should be called when iget_array, iget_records, isave_as and/or isave_book_as are used. **Updated** #. array is passed to pyexcel.Sheet as reference. it means your array data will be modified. **Removed** #. pyexcel.Writer and pyexcel.BookWriter were removed #. pyexcel.load_book_from_sql and pyexcel.load_from_sql were removed #. pyexcel.deprecated.load_from_query_sets, pyexcel.deprecated.load_book_from_django_models and pyexcel.deprecated.load_from_django_model were removed #. Removed plugin loading code and lml is used instead 0.4.5 - 17.03.2017 -------------------------------------------------------------------------------- **Updated** #. `#80 `_: remove pyexcel-chart import from v0.4.x 0.4.4 - 06.02.2017 -------------------------------------------------------------------------------- **Updated** #. `#68 `_: regression save_to_memory() should have returned a stream instance which has been reset to zero if possible. The exception is sys.stdout, which cannot be reset. #. `#74 `_: Not able to handle decimal.Decimal **Removed** #. remove get_{{file_type}}_stream functions from pyexcel.Sheet and pyexcel.Book introduced since 0.4.3. 0.4.3 - 26.01.2017 -------------------------------------------------------------------------------- **Added** #. '.stream' attribute are attached to `~pyexcel.Sheet` and `~pyexcel.Book` to get direct access the underneath stream in responding to file type attributes, such as sheet.xls. it helps provide a custom stream to external world, for example, Sheet.stream.csv gives a text stream that contains csv formatted data. Book.stream.xls returns a xls format data in a byte stream. **Updated** #. Better error reporting when an unknown parameters or unsupported file types were given to the signature functions. 0.4.2 - 17.01.2017 -------------------------------------------------------------------------------- **Updated** #. Raise exception if the incoming sheet does not have column names. In other words, only sheet with column names could be saved to database. sheet with row names cannot be saved. The alternative is to transpose the sheet, then name_columns_by_row and then save. #. fix iget_records where a non-uniform content should be given, e.g. [["x", "y"], [1, 2], [3]], some record would become non-uniform, e.g. key 'y' would be missing from the second record. #. `skip_empty_rows` is applicable when saving a python data structure to another data source. For example, if your array contains a row which is consisted of empty string, such as ['', '', '' ... ''], please specify `skip_empty_rows=False` in order to preserve it. This becomes subtle when you try save a python dictionary where empty rows is not easy to be spotted. #. `#69 `_: better documentation for save_book_as. 0.4.1 - 23.12.2016 -------------------------------------------------------------------------------- **Updated** #. `#68 `_: regression save_to_memory() should have returned a stream instance. 0.4.0 - 22.12.2016 -------------------------------------------------------------------------------- **Added** #. `Flask-Excel#19 `_ allow sheet_name parameter #. `pyexcel-xls#11 `_ case-insensitive for file_type. `xls` and `XLS` are treated in the same way **Updated** #. `#66 `_: `export_columns` is ignored #. Update dependency on pyexcel-io v0.3.0 0.3.3 - 07.11.2016 -------------------------------------------------------------------------------- **Updated** #. `#63 `_: cannot display empty sheet(hence book with empty sheet) as texttable 0.3.2 - 02.11.2016 -------------------------------------------------------------------------------- **Updated** #. `#62 `_: optional module import error become visible. 0.3.0 - 28.10.2016 -------------------------------------------------------------------------------- **Added:** #. file type setters for Sheet and Book, and its documentation #. `iget_records` returns a generator for a list of records and should have better memory performance, especially dealing with large csv files. #. `iget_array` returns a generator for a list of two dimensional array and should have better memory performance, especially dealing with large csv files. #. Enable pagination support, and custom row renderer via pyexcel-io v0.2.3 **Updated** #. Take `isave_as` out from `save_as`. Hence two functions are there for save a sheet as #. `#60 `_: encode 'utf-8' if the console is of ascii encoding. #. `#59 `_: custom row renderer #. `#56 `_: set cell value does not work #. pyexcel.transpose becomes `pyexcel.sheets.transpose` #. iterator functions of `pyexcel.Sheet` were converted to generator functions * `pyexcel.Sheet.enumerate()` * `pyexcel.Sheet.reverse()` * `pyexcel.Sheet.vertical()` * `pyexcel.Sheet.rvertical()` * `pyexcel.Sheet.rows()` * `pyexcel.Sheet.rrows()` * `pyexcel.Sheet.columns()` * `pyexcel.Sheet.rcolumns()` * `pyexcel.Sheet.named_rows()` * `pyexcel.Sheet.named_columns()` #. `~pyexcel.Sheet.save_to_memory` and `~pyexcel.Book.save_to_memory` return the actual content. No longer they will return a io object hence you cannot call getvalue() on them. **Removed:** #. `content` and `out_file` as function parameters to the signature functions are no longer supported. #. SourceFactory and RendererFactory are removed #. The following methods are removed * `pyexcel.to_array` * `pyexcel.to_dict` * `pyexcel.utils.to_one_dimensional_array` * `pyexcel.dict_to_array` * `pyexcel.from_records` * `pyexcel.to_records` #. `pyexcel.Sheet.filter` has been re-implemented and all filters were removed: * `pyexcel.filters.ColumnIndexFilter` * `pyexcel.filters.ColumnFilter` * `pyexcel.filters.RowFilter` * `pyexcel.filters.EvenColumnFilter` * `pyexcel.filters.OddColumnFilter` * `pyexcel.filters.EvenRowFilter` * `pyexcel.filters.OddRowFilter` * `pyexcel.filters.RowIndexFilter` * `pyexcel.filters.SingleColumnFilter` * `pyexcel.filters.RowValueFilter` * `pyexcel.filters.NamedRowValueFilter` * `pyexcel.filters.ColumnValueFilter` * `pyexcel.filters.NamedColumnValueFilter` * `pyexcel.filters.SingleRowFilter` #. the following functions have been removed * `add_formatter` * `remove_formatter` * `clear_formatters` * `freeze_formatters` * `add_filter` * `remove_filter` * `clear_filters` * `freeze_formatters` #. `pyexcel.Sheet.filter` has been re-implemented and all filters were removed: * pyexcel.formatters.SheetFormatter 0.2.5 - 31.08.2016 -------------------------------------------------------------------------------- **Updated:** #. `#58 `_: texttable should have been made as compulsory requirement 0.2.4 - 14.07.2016 -------------------------------------------------------------------------------- **Updated:** #. For python 2, writing to sys.stdout by pyexcel-cli raise IOError. 0.2.3 - 11.07.2016 -------------------------------------------------------------------------------- **Updated:** #. For python 3, do not seek 0 when saving to memory if sys.stdout is passed on. Hence, adding support for sys.stdin and sys.stdout. 0.2.2 - 01.06.2016 -------------------------------------------------------------------------------- **Updated:** #. Explicit imports, no longer needed #. Depends on latest setuptools 18.0.1 #. NotImplementedError will be raised if parameters to core functions are not supported, e.g. get_sheet(cannot_find_me_option="will be thrown out as NotImplementedError") 0.2.1 - 23.04.2016 -------------------------------------------------------------------------------- **Added:** #. add pyexcel-text file types as attributes of pyexcel.Sheet and pyexcel.Book, related to `#31 `__ #. auto import pyexcel-text if it is pip installed **Updated:** #. code refactoring done for easy addition of sources. #. bug fix `#29 `__, Even if the format is a string it is displayed as a float #. pyexcel-text is no longer a plugin to pyexcel-io but to pyexcel.sources, see `pyexcel-text#22 `__ **Removed:** #. pyexcel.presentation is removed. No longer the internal decorate @outsource is used. related to `#31 `_ 0.2.0 - 17.01.2016 -------------------------------------------------------------------------------- **Updated** #. adopt pyexcel-io yield key word to return generator as content #. pyexcel.save_as and pyexcel.save_book_as get performance improvements 0.1.7 - 03.07.2015 -------------------------------------------------------------------------------- **Added** #. Support pyramid-excel which does the database commit on its own. 0.1.6 - 13.06.2015 -------------------------------------------------------------------------------- **Added** #. get excel data from a http url 0.0.13 - 07.02.2015 -------------------------------------------------------------------------------- **Added** #. Support django #. texttable as default renderer 0.0.12 - 25.01.2015 -------------------------------------------------------------------------------- **Added** #. Added sqlalchemy support 0.0.10 - 15.12.2015 -------------------------------------------------------------------------------- **Added** #. added csvz and tsvz format 0.0.4 - 12.10.2014 -------------------------------------------------------------------------------- **Updated** #. Support python 3 0.0.1 - 14.09.2014 -------------------------------------------------------------------------------- **Features:** #. read and write csv, ods, xls, xlsx and xlsm files(which are referred later as excel files) #. various iterators for the reader #. row and column filters for the reader #. utilities to get array and dictionary out from excel files. #. cookbok receipes for some common and simple usage of this library. pyexcel-0.7.0/CONTRIBUTORS.rst000066400000000000000000000020601420202037400156460ustar00rootroot00000000000000 19 contributors ================================================================================ In alphabetical order: * `Akshaya Kumar Sharma `_ * `Andre Almar `_ * `Arunkumar Rajendran `_ * `Ayan Banerjee `_ * `Chris Hill-Scott `_ * `Craig Anderson `_ * `Daryl Yu `_ * `J Harley `_ * `Joel Nothman `_ * `John Vandenberg `_ * `Linghui Zeng `_ * `Nik Nyby `_ * `Rintze M. Zelle, PhD `_ * `Simeon Visser `_ * `Simon Allen `_ * `simon klemenc `_ * `Tim Gates `_ * `Wesley A. Cheng `_ * `William Jamir Silva `_ pyexcel-0.7.0/LICENSE000066400000000000000000000030711420202037400141670ustar00rootroot00000000000000Copyright (c) 2014-2022 by Onni Software Ltd. and its contributors All rights reserved. Redistribution and use in source and binary forms of the software as well as documentation, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of 'pyexcel' nor the names of the contributors may not be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE AND DOCUMENTATION IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE AND DOCUMENTATION, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. pyexcel-0.7.0/MANIFEST.in000066400000000000000000000002421420202037400147150ustar00rootroot00000000000000include README.rst include LICENSE include CHANGELOG.rst include CONTRIBUTORS.rst recursive-include tests * recursive-include docs * recursive-include examples * pyexcel-0.7.0/Makefile000066400000000000000000000002571420202037400146250ustar00rootroot00000000000000all: test test: lint bash test.sh install_test: pip install -r tests/requirements.txt lint: bash lint.sh format: bash format.sh git-diff-check: git diff --exit-code pyexcel-0.7.0/README.rst000066400000000000000000001112431420202037400146520ustar00rootroot00000000000000================================================================================ pyexcel - Let you focus on data, instead of file formats ================================================================================ .. image:: https://raw.githubusercontent.com/pyexcel/pyexcel.github.io/master/images/patreon.png :target: https://www.patreon.com/chfw .. image:: https://raw.githubusercontent.com/pyexcel/pyexcel-mobans/master/images/awesome-badge.svg :target: https://awesome-python.com/#specific-formats-processing .. image:: https://github.com/pyexcel/pyexcel/workflows/run_tests/badge.svg :target: http://github.com/pyexcel/pyexcel/actions .. image:: https://codecov.io/gh/pyexcel/pyexcel/branch/master/graph/badge.svg :target: https://codecov.io/gh/pyexcel/pyexcel .. image:: https://badge.fury.io/py/pyexcel.svg :target: https://pypi.org/project/pyexcel .. image:: https://anaconda.org/conda-forge/pyexcel/badges/version.svg :target: https://anaconda.org/conda-forge/pyexcel .. image:: https://pepy.tech/badge/pyexcel/month :target: https://pepy.tech/project/pyexcel .. image:: https://anaconda.org/conda-forge/pyexcel/badges/downloads.svg :target: https://anaconda.org/conda-forge/pyexcel .. image:: https://img.shields.io/gitter/room/gitterHQ/gitter.svg :target: https://gitter.im/pyexcel/Lobby .. image:: https://img.shields.io/static/v1?label=continuous%20templating&message=%E6%A8%A1%E7%89%88%E6%9B%B4%E6%96%B0&color=blue&style=flat-square :target: https://moban.readthedocs.io/en/latest/#at-scale-continous-templating-for-open-source-projects .. image:: https://img.shields.io/static/v1?label=coding%20style&message=black&color=black&style=flat-square :target: https://github.com/psf/black .. image:: https://readthedocs.org/projects/pyexcel/badge/?version=latest :target: http://pyexcel.readthedocs.org/en/latest/ Support the project ================================================================================ If your company has embedded pyexcel and its components into a revenue generating product, please support me on github, `patreon `_ or `bounty source `_ to maintain the project and develop it further. If you are an individual, you are welcome to support me too and for however long you feel like. As my backer, you will receive `early access to pyexcel related contents `_. And your issues will get prioritized if you would like to become my patreon as `pyexcel pro user`. With your financial support, I will be able to invest a little bit more time in coding, documentation and writing interesting posts. Known constraints ================== Fonts, colors and charts are not supported. Nor to read password protected xls, xlsx and ods files. Introduction ================================================================================ Feature Highlights =================== .. table:: A list of supported file formats ============ ======================================================= file format definition ============ ======================================================= csv comma separated values tsv tab separated values csvz a zip file that contains one or many csv files tsvz a zip file that contains one or many tsv files xls a spreadsheet file format created by MS-Excel 97-2003 xlsx MS-Excel Extensions to the Office Open XML SpreadsheetML File Format. xlsm an MS-Excel Macro-Enabled Workbook file ods open document spreadsheet fods flat open document spreadsheet json java script object notation html html table of the data structure simple simple presentation rst rStructured Text presentation of the data mediawiki media wiki table ============ ======================================================= .. image:: https://github.com/pyexcel/pyexcel/raw/dev/docs/source/_static/images/architecture.svg 1. One application programming interface(API) to handle multiple data sources: * physical file * memory file * SQLAlchemy table * Django Model * Python data structures: dictionary, records and array 2. One API to read and write data in various excel file formats. 3. For large data sets, data streaming are supported. A genenerator can be returned to you. Checkout iget_records, iget_array, isave_as and isave_book_as. Installation ================================================================================ You can install pyexcel via pip: .. code-block:: bash $ pip install pyexcel or clone it and install it: .. code-block:: bash $ git clone https://github.com/pyexcel/pyexcel.git $ cd pyexcel $ python setup.py install One liners ================================================================================ This section shows you how to get data from your excel files and how to export data to excel files in **one line** Read from the excel files -------------------------------------------------------------------------------- Get a list of dictionaries ******************************************************************************** Suppose you want to process `History of Classical Music `_: History of Classical Music: =============== ============= ==================================== Name Period Representative Composers Medieval c.1150-c.1400 Machaut, Landini Renaissance c.1400-c.1600 Gibbons, Frescobaldi Baroque c.1600-c.1750 JS Bach, Vivaldi Classical c.1750-c.1830 Joseph Haydn, Wolfgan Amadeus Mozart Earley Romantic c.1830-c.1860 Chopin, Mendelssohn, Schumann, Liszt Late Romantic c.1860-c.1920 Wagner,Verdi =============== ============= ==================================== Let's get a list of dictionary out from the xls file: .. code-block:: python >>> records = p.get_records(file_name="your_file.xls") And let's check what do we have: .. code-block:: python >>> for row in records: ... print(f"{row['Representative Composers']} are from {row['Name']} period ({row['Period']})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Earley Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) Get two dimensional array ******************************************************************************** Instead, what if you have to use `pyexcel.get_array` to do the same: .. code-block:: python >>> for row in p.get_array(file_name="your_file.xls", start_row=1): ... print(f"{row[2]} are from {row[0]} period ({row[1]})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Earley Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) where `start_row` skips the header row. Get a dictionary ******************************************************************************** You can get a dictionary too: Now let's get a dictionary out from the spreadsheet: .. code-block:: python >>> my_dict = p.get_dict(file_name="your_file.xls", name_columns_by_row=0) And check what do we have: .. code-block:: python >>> from pyexcel._compact import OrderedDict >>> isinstance(my_dict, OrderedDict) True >>> for key, values in my_dict.items(): ... print(key + " : " + ','.join([str(item) for item in values])) Name : Medieval,Renaissance,Baroque,Classical,Earley Romantic,Late Romantic Period : c.1150-c.1400,c.1400-c.1600,c.1600-c.1750,c.1750-c.1830,c.1830-c.1860,c.1860-c.1920 Representative Composers : Machaut, Landini,Gibbons, Frescobaldi,JS Bach, Vivaldi,Joseph Haydn, Wolfgan Amadeus Mozart,Chopin, Mendelssohn, Schumann, Liszt,Wagner,Verdi Please note that my_dict is an OrderedDict. Get a dictionary of two dimensional array ******************************************************************************** Suppose you have a multiple sheet book as the following: pyexcel:Sheet 1: ===================== = = 1 2 3 4 5 6 7 8 9 ===================== = = pyexcel:Sheet 2: ===================== = = X Y Z 1 2 3 4 5 6 ===================== = = pyexcel:Sheet 3: ===================== = = O P Q 3 2 1 4 3 2 ===================== = = Here is the code to obtain those sheets as a single dictionary: .. code-block:: python >>> book_dict = p.get_book_dict(file_name="book.xls") And check: .. code-block:: python >>> isinstance(book_dict, OrderedDict) True >>> import json >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Write data --------------------------------------------- Export an array ********************** Suppose you have the following array: .. code-block:: python >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file : .. code-block:: python >>> p.save_as(array=data, dest_file_name="example.xls") Let's verify it: .. code-block:: python >>> p.get_sheet(file_name="example.xls") pyexcel_sheet1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ And here is the code to save it as a csv file : .. code-block:: python >>> p.save_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':') Let's verify it: .. code-block:: python >>> with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9 Export a list of dictionaries ********************************** .. code-block:: python >>> records = [ ... {"year": 1903, "country": "Germany", "speed": "206.7km/h"}, ... {"year": 1964, "country": "Japan", "speed": "210km/h"}, ... {"year": 2008, "country": "China", "speed": "350km/h"} ... ] >>> p.save_as(records=records, dest_file_name='high_speed_rail.xls') Export a dictionary of single key value pair ******************************************************************************** .. code-block:: python >>> henley_on_thames_facts = { ... "area": "5.58 square meters", ... "population": "11,619", ... "civial parish": "Henley-on-Thames", ... "latitude": "51.536", ... "longitude": "-0.898" ... } >>> p.save_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx') Export a dictionary of single dimensonal array ******************************************************************************** .. code-block:: python >>> ccs_insights = { ... "year": ["2017", "2018", "2019", "2020", "2021"], ... "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90], ... "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17] ... } >>> p.save_as(adict=ccs_insights, dest_file_name='ccs.csv') Export a dictionary of two dimensional array as a book ******************************************************************************** Suppose you want to save the below dictionary to an excel file : .. code-block:: python >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } Here is the code: .. code-block:: python >>> p.save_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... ) If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example: .. code-block:: python >>> data = OrderedDict() >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.save_book_as(bookdict=data, dest_file_name="book.xls") Let's verify its order: .. code-block:: python >>> book_dict = p.get_book_dict(file_name="book.xls") >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Please notice that "Sheet 2" is the first item in the *book_dict*, meaning the order of sheets are preserved. Transcoding ------------------------------------------- .. note:: Please note that `pyexcel-cli` can perform file transcoding at command line. No need to open your editor, save the problem, then python run. The following code does a simple file format transcoding from xls to csv: .. code-block:: python >>> p.save_as(file_name="birth.xls", dest_file_name="birth.csv") Again it is really simple. Let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.csv") >>> sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. NOTE:: Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job. Let use previous example and save it as xlsx instead .. code-block:: python >>> p.save_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension Again let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.xlsx") >>> sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ Excel book merge and split operation in one line -------------------------------------------------------------------------------- Merge all excel files in directory into a book where each file become a sheet ******************************************************************************** The following code will merge every excel files into one file, say "output.xls": .. code-block:: python from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_csv_directory\*.csv"), "output.xls") You can mix and match with other excel formats: xls, xlsm and ods. For example, if you are sure you have only xls, xlsm, xlsx, ods and csv files in `your_excel_file_directory`, you can do the following: .. code-block:: python from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_excel_file_directory\*.*"), "output.xls") Split a book into single sheet files **************************************** Suppose you have many sheets in a work book and you would like to separate each into a single sheet excel file. You can easily do this: .. code-block:: python >>> from pyexcel.cookbook import split_a_book >>> split_a_book("megabook.xls", "output.xls") >>> import glob >>> outputfiles = glob.glob("*_output.xls") >>> for file in sorted(outputfiles): ... print(file) ... Sheet 1_output.xls Sheet 2_output.xls Sheet 3_output.xls for the output file, you can specify any of the supported formats Extract just one sheet from a book ************************************* Suppose you just want to extract one sheet from many sheets that exists in a work book and you would like to separate it into a single sheet excel file. You can easily do this: .. code-block:: python >>> from pyexcel.cookbook import extract_a_sheet_from_a_book >>> extract_a_sheet_from_a_book("megabook.xls", "Sheet 1", "output.xls") >>> if os.path.exists("Sheet 1_output.xls"): ... print("Sheet 1_output.xls exists") ... Sheet 1_output.xls exists for the output file, you can specify any of the supported formats Hidden feature: partial read =============================================== Most pyexcel users do not know, but other library users were requesting `partial read `_ When you are dealing with huge amount of data, e.g. 64GB, obviously you would not like to fill up your memory with those data. What you may want to do is, record data from Nth line, take M records and stop. And you only want to use your memory for the M records, not for beginning part nor for the tail part. Hence partial read feature is developed to read partial data into memory for processing. You can paginate by row, by column and by both, hence you dictate what portion of the data to read back. But remember only row limit features help you save memory. Let's you use this feature to record data from Nth column, take M number of columns and skip the rest. You are not going to reduce your memory footprint. Why did not I see above benefit? -------------------------------------------------------------------------------- This feature depends heavily on the implementation details. `pyexcel-xls`_ (xlrd), `pyexcel-xlsx`_ (openpyxl), `pyexcel-ods`_ (odfpy) and `pyexcel-ods3`_ (pyexcel-ezodf) will read all data into memory. Because xls, xlsx and ods file are effective a zipped folder, all four will unzip the folder and read the content in xml format in **full**, so as to make sense of all details. Hence, during the partial data is been returned, the memory consumption won't differ from reading the whole data back. Only after the partial data is returned, the memory comsumption curve shall jump the cliff. So pagination code here only limits the data returned to your program. With that said, `pyexcel-xlsxr`_, `pyexcel-odsr`_ and `pyexcel-htmlr`_ DOES read partial data into memory. Those three are implemented in such a way that they consume the xml(html) when needed. When they have read designated portion of the data, they stop, even if they are half way through. In addition, pyexcel's csv readers can read partial data into memory too. Let's assume the following file is a huge csv file: .. code-block:: python >>> import datetime >>> import pyexcel as pe >>> data = [ ... [1, 21, 31], ... [2, 22, 32], ... [3, 23, 33], ... [4, 24, 34], ... [5, 25, 35], ... [6, 26, 36] ... ] >>> pe.save_as(array=data, dest_file_name="your_file.csv") And let's pretend to read partial data: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_row=2, row_limit=3) your_file.csv: +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ And you could as well do the same for columns: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_column=1, column_limit=2) your_file.csv: +----+----+ | 21 | 31 | +----+----+ | 22 | 32 | +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ | 26 | 36 | +----+----+ Obvious, you could do both at the same time: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", ... start_row=2, row_limit=3, ... start_column=1, column_limit=2) your_file.csv: +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ The pagination support is available across all pyexcel plugins. .. note:: No column pagination support for query sets as data source. Formatting while transcoding a big data file -------------------------------------------------------------------------------- If you are transcoding a big data set, conventional formatting method would not help unless a on-demand free RAM is available. However, there is a way to minimize the memory footprint of pyexcel while the formatting is performed. Let's continue from previous example. Suppose we want to transcode "your_file.csv" to "your_file.xls" but increase each element by 1. What we can do is to define a row renderer function as the following: .. code-block:: python >>> def increment_by_one(row): ... for element in row: ... yield element + 1 Then pass it onto save_as function using row_renderer: .. code-block:: python >>> pe.isave_as(file_name="your_file.csv", ... row_renderer=increment_by_one, ... dest_file_name="your_file.xlsx") .. note:: If the data content is from a generator, isave_as has to be used. We can verify if it was done correctly: .. code-block:: python >>> pe.get_sheet(file_name="your_file.xlsx") your_file.csv: +---+----+----+ | 2 | 22 | 32 | +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ | 6 | 26 | 36 | +---+----+----+ | 7 | 27 | 37 | +---+----+----+ Stream APIs for big file : A set of two liners ================================================================================ When you are dealing with **BIG** excel files, you will want **pyexcel** to use constant memory. This section shows you how to get data from your **BIG** excel files and how to export data to excel files in **two lines** at most, without eating all your computer memory. Two liners for get data from big excel files -------------------------------------------------------------------------------- Get a list of dictionaries ******************************************************************************** Suppose you want to process the following coffee data again: Top 5 coffeine drinks: ===================================== =============== ============= Coffees Serving Size Caffeine (mg) Starbucks Coffee Blonde Roast venti(20 oz) 475 Dunkin' Donuts Coffee with Turbo Shot large(20 oz.) 398 Starbucks Coffee Pike Place Roast grande(16 oz.) 310 Panera Coffee Light Roast regular(16 oz.) 300 ===================================== =============== ============= Let's get a list of dictionary out from the xls file: .. code-block:: python >>> records = p.iget_records(file_name="your_file.xls") And let's check what do we have: .. code-block:: python >>> for r in records: ... print(f"{r['Serving Size']} of {r['Coffees']} has {r['Caffeine (mg)']} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg Please do not forgot the second line to close the opened file handle: .. code-block:: python >>> p.free_resources() Get two dimensional array ******************************************************************************** Instead, what if you have to use `pyexcel.get_array` to do the same: .. code-block:: python >>> for row in p.iget_array(file_name="your_file.xls", start_row=1): ... print(f"{row[1]} of {row[0]} has {row[2]} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg Again, do not forgot the second line: .. code-block:: python >>> p.free_resources() where `start_row` skips the header row. Data export in one liners --------------------------------------------- Export an array ********************** Suppose you have the following array: .. code-block:: python >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file : .. code-block:: python >>> p.isave_as(array=data, dest_file_name="example.xls") But the following line is not required because the data source are not file sources: .. code-block:: python >>> # p.free_resources() Let's verify it: .. code-block:: python >>> p.get_sheet(file_name="example.xls") pyexcel_sheet1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ And here is the code to save it as a csv file : .. code-block:: python >>> p.isave_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':') Let's verify it: .. code-block:: python >>> with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9 Export a list of dictionaries ********************************** .. code-block:: python >>> records = [ ... {"year": 1903, "country": "Germany", "speed": "206.7km/h"}, ... {"year": 1964, "country": "Japan", "speed": "210km/h"}, ... {"year": 2008, "country": "China", "speed": "350km/h"} ... ] >>> p.isave_as(records=records, dest_file_name='high_speed_rail.xls') Export a dictionary of single key value pair ******************************************************************************** .. code-block:: python >>> henley_on_thames_facts = { ... "area": "5.58 square meters", ... "population": "11,619", ... "civial parish": "Henley-on-Thames", ... "latitude": "51.536", ... "longitude": "-0.898" ... } >>> p.isave_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx') Export a dictionary of single dimensonal array ******************************************************************************** .. code-block:: python >>> ccs_insights = { ... "year": ["2017", "2018", "2019", "2020", "2021"], ... "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90], ... "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17] ... } >>> p.isave_as(adict=ccs_insights, dest_file_name='ccs.csv') >>> p.free_resources() Export a dictionary of two dimensional array as a book ******************************************************************************** Suppose you want to save the below dictionary to an excel file : .. code-block:: python >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } Here is the code: .. code-block:: python >>> p.isave_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... ) If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example: .. code-block:: python >>> from pyexcel._compact import OrderedDict >>> data = OrderedDict() >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.isave_book_as(bookdict=data, dest_file_name="book.xls") >>> p.free_resources() Let's verify its order: .. code-block:: python >>> import json >>> book_dict = p.get_book_dict(file_name="book.xls") >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Please notice that "Sheet 2" is the first item in the *book_dict*, meaning the order of sheets are preserved. File format transcoding on one line ------------------------------------------- .. note:: Please note that the following file transcoding could be with zero line. Please install pyexcel-cli and you will do the transcode in one command. No need to open your editor, save the problem, then python run. The following code does a simple file format transcoding from xls to csv: .. code-block:: python >>> import pyexcel >>> p.save_as(file_name="birth.xls", dest_file_name="birth.csv") Again it is really simple. Let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.csv") >>> sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. note:: Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job. Let use previous example and save it as xlsx instead .. code-block:: python >>> import pyexcel >>> p.isave_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension Again let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.xlsx") >>> sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ Available Plugins ================= .. _file-format-list: .. _a-map-of-plugins-and-file-formats: .. table:: A list of file formats supported by external plugins ======================== ======================= ================= Package name Supported file formats Dependencies ======================== ======================= ================= `pyexcel-io`_ csv, csvz [#f1]_, tsv, tsvz [#f2]_ `pyexcel-xls`_ xls, xlsx(read only), `xlrd`_, xlsm(read only) `xlwt`_ `pyexcel-xlsx`_ xlsx `openpyxl`_ `pyexcel-ods3`_ ods `pyexcel-ezodf`_, lxml `pyexcel-ods`_ ods `odfpy`_ ======================== ======================= ================= .. table:: Dedicated file reader and writers ======================== ======================= ================= Package name Supported file formats Dependencies ======================== ======================= ================= `pyexcel-xlsxw`_ xlsx(write only) `XlsxWriter`_ `pyexcel-libxlsxw`_ xlsx(write only) `libxlsxwriter`_ `pyexcel-xlsxr`_ xlsx(read only) lxml `pyexcel-xlsbr`_ xlsb(read only) pyxlsb `pyexcel-odsr`_ read only for ods, fods lxml `pyexcel-odsw`_ write only for ods loxun `pyexcel-htmlr`_ html(read only) lxml,html5lib `pyexcel-pdfr`_ pdf(read only) camelot ======================== ======================= ================= Plugin shopping guide ------------------------ Since 2020, all pyexcel-io plugins have dropped the support for python versions which are lower than 3.6. If you want to use any of those Python versions, please use pyexcel-io and its plugins versions that are lower than 0.6.0. Except csv files, xls, xlsx and ods files are a zip of a folder containing a lot of xml files The dedicated readers for excel files can stream read In order to manage the list of plugins installed, you need to use pip to add or remove a plugin. When you use virtualenv, you can have different plugins per virtual environment. In the situation where you have multiple plugins that does the same thing in your environment, you need to tell pyexcel which plugin to use per function call. For example, pyexcel-ods and pyexcel-odsr, and you want to get_array to use pyexcel-odsr. You need to append get_array(..., library='pyexcel-odsr'). .. _pyexcel-io: https://github.com/pyexcel/pyexcel-io .. _pyexcel-xls: https://github.com/pyexcel/pyexcel-xls .. _pyexcel-xlsx: https://github.com/pyexcel/pyexcel-xlsx .. _pyexcel-ods: https://github.com/pyexcel/pyexcel-ods .. _pyexcel-ods3: https://github.com/pyexcel/pyexcel-ods3 .. _pyexcel-odsr: https://github.com/pyexcel/pyexcel-odsr .. _pyexcel-odsw: https://github.com/pyexcel/pyexcel-odsw .. _pyexcel-pdfr: https://github.com/pyexcel/pyexcel-pdfr .. _pyexcel-xlsxw: https://github.com/pyexcel/pyexcel-xlsxw .. _pyexcel-libxlsxw: https://github.com/pyexcel/pyexcel-libxlsxw .. _pyexcel-xlsxr: https://github.com/pyexcel/pyexcel-xlsxr .. _pyexcel-xlsbr: https://github.com/pyexcel/pyexcel-xlsbr .. _pyexcel-htmlr: https://github.com/pyexcel/pyexcel-htmlr .. _xlrd: https://github.com/python-excel/xlrd .. _xlwt: https://github.com/python-excel/xlwt .. _openpyxl: https://bitbucket.org/openpyxl/openpyxl .. _XlsxWriter: https://github.com/jmcnamara/XlsxWriter .. _pyexcel-ezodf: https://github.com/pyexcel/pyexcel-ezodf .. _odfpy: https://github.com/eea/odfpy .. _libxlsxwriter: http://libxlsxwriter.github.io/getting_started.html .. table:: Other data renderers ======================== ======================= ================= ================== Package name Supported file formats Dependencies Python versions ======================== ======================= ================= ================== `pyexcel-text`_ write only:rst, `tabulate`_ 2.6, 2.7, 3.3, 3.4 mediawiki, html, 3.5, 3.6, pypy latex, grid, pipe, orgtbl, plain simple read only: ndjson r/w: json `pyexcel-handsontable`_ handsontable in html `handsontable`_ same as above `pyexcel-pygal`_ svg chart `pygal`_ 2.7, 3.3, 3.4, 3.5 3.6, pypy `pyexcel-sortable`_ sortable table in html `csvtotable`_ same as above `pyexcel-gantt`_ gantt chart in html `frappe-gantt`_ except pypy, same as above ======================== ======================= ================= ================== .. _pyexcel-text: https://github.com/pyexcel/pyexcel-text .. _tabulate: https://bitbucket.org/astanin/python-tabulate .. _pyexcel-handsontable: https://github.com/pyexcel/pyexcel-handsontable .. _handsontable: https://cdnjs.com/libraries/handsontable .. _pyexcel-pygal: https://github.com/pyexcel/pyexcel-chart .. _pygal: https://github.com/Kozea/pygal .. _pyexcel-matplotlib: https://github.com/pyexcel/pyexcel-matplotlib .. _matplotlib: https://matplotlib.org .. _pyexcel-sortable: https://github.com/pyexcel/pyexcel-sortable .. _csvtotable: https://github.com/vividvilla/csvtotable .. _pyexcel-gantt: https://github.com/pyexcel/pyexcel-gantt .. _frappe-gantt: https://github.com/frappe/gantt .. rubric:: Footnotes .. [#f1] zipped csv file .. [#f2] zipped tsv file Acknowledgement =============== All great work have been done by odf, ezodf, xlrd, xlwt, tabulate and other individual developers. This library unites only the data access code. License ================================================================================ New BSD License pyexcel-0.7.0/changelog.yml000066400000000000000000000406001420202037400156330ustar00rootroot00000000000000name: pyexcel organisation: pyexcel releases: - changes: - action: Fixed details: - "`#250`: RecursionError raised on deepcopy of a sheet" - action: Updated details: - "`#255`: pyexcel.get_array documentation page seems to be a copy of pyexcel.get_sheet" - action: Removed details: - "`#249`: drop the support for dummy import statements pyexcel.ext.*" version: 0.7.0 date: 12.2.2022 - changes: - action: Updated details: - "`#243`: fix small typo." - add chardet as explicit dependency version: 0.6.7 date: 12.09.2021 - changes: - action: Updated details: - "`#233`: dynamically resize the table matrix on set_value. sheet['AA1'] = 'test' will work in this release." version: 0.6.6 date: 14.11.2020 - changes: - action: Updated details: - "update queryset source to work with pyexcel-io 0.6.0" version: 0.6.5 date: 8.10.2020 - changes: - action: Updated details: - "`#219`: book created from dict no longer discards order." version: 0.6.4 date: 18.08.2020 - changes: - action: fixed details: - "`#214`: remove leading and trailing whitespace for column names" - action: removed details: - python 2 compatibility have been permanently removed. version: 0.6.3 date: 01.08.2020 - changes: - action: fixed details: - "`#109`: Control the column order when write the data output" version: 0.6.2 date: 8.06.2020 - changes: - action: fixed details: - "`#203`: texttable was dropped out in 0.6.0 as compulsary dependency. end user may experience it when a sheet/table is printed in a shell. otherwise, new user of pyexcel won't see it. As of release date, no issues were created" version: 0.6.1 date: 02.05.2020 - changes: - action: updated details: - "`#199`: += in place; = + shall return new instance" - "`#195`: documentation update. however small is welcome" - action: removed details: - "Dropping the test support for python version lower than 3.6. v0.6.0 should work with python 2.7 but is not guaranteed to work. Please upgrade to python 3.6+." version: 0.6.0 date: 21.04.2020 - changes: - action: updated details: - "`#185`: fix a bug with http data source. The real fix lies in pyexcel-io v0.5.19. this release just put the version requirement in." version: 0.5.15 date: 07.07.2019 - changes: - action: updated details: - "`#182`: support dest_force_file_type on save_as and save_book_as" version: 0.5.14 date: 12.06.2019 - changes: - action: updated details: - "`#176`: get_sheet {IndexError}list index out of range // XLSX can't be opened" version: 0.5.13 date: 12.03.2019 - changes: - action: updated details: - '`#174`: include examples in tarbar' version: 0.5.12 date: 25.02.2019 - changes: - action: updated details: - '`#169`: remove pyexcel-handsontalbe in test' - 'add tests, and docs folder in distribution' version: 0.5.11 date: 22.02.2019 - changes: - action: updated details: - '`#157`: Please use scan_plugins_regex, which lml 0.7 complains about' - 'updated dependency on pyexcel-io to 0.5.11' version: 0.5.10 date: 3.12.2018 - changes: - action: updated details: - 'to require pyexcel-io 0.5.9.1 and use lml at least version 0.0.2' version: 0.5.9.1 date: 30.08.2018 - changes: - action: added details: - 'support __len__. len(book) returns the number of sheets and len(sheet) returns the number of rows' - '`#144`: memory-efficient way to read sheet names.' - '`#148`: force_file_type is introduced. When reading a file on a disk, this parameter allows you to choose a reader. i.e. csv reader for a text file. xlsx reader for a xlsx file but with .blob file suffix.' - 'finally, pyexcel got import pyexcel.__version__' - action: updated details: - 'Sheet.to_records() returns a generator now, saving memory' - '`#115`, Fix set membership test to run faster in python2' - '`#140`, Direct writes to cells yield weird results' date: 30.08.2018 version: 0.5.9 - changes: - action: added details: - '`#125`, sort book sheets' - action: updated details: - '`#126`, dest_sheet_name in save_as will set the sheet name in the output' - '`#115`, Fix set membership test to run faster in python2' date: 26.03.2018 version: 0.5.8 - changes: - action: added details: - '`pyexcel-io#46`, expose `bulk_save` to developer.' date: 11.01.2018 version: 0.5.7 - changes: - action: removed details: - '`#105`, remove gease from setup_requires, introduced by 0.5.5.' - removed testing against python 2.6 - '`#103`, include LICENSE file in MANIFEST.in, meaning LICENSE file will appear in the released tar ball.' date: 23.10.2017 version: 0.5.6 - changes: - action: removed details: - '`#105`, remove gease from setup_requires, introduced by 0.5.5.' - removed testing against python 2.6 - '`#103`, include LICENSE file in MANIFEST.in, meaning LICENSE file will appear in the released tar ball.' date: 20.10.2017 version: 0.5.5 - changes: - action: fixed details: - '`#100`, Sheet.to_dict() gets out of range error because there is only one row.' - action: updated details: - Updated the baseline of pyexcel-io to 0.5.1. date: 27.09.2017 version: 0.5.4 - changes: - action: added details: - '`#95`, respect the order of records in iget_records, isave_as and save_as.' - '`#97`, new feature to allow intuitive initialization of pyexcel.Book.' date: 01-08-2017 version: 0.5.3 - changes: - action: Updated details: - embeded the enabler for pyexcel-htmlr. http source does not support text/html as mime type. date: 26-07-2017 version: 0.5.2 - changes: - action: Updated details: - support saving SheetStream and BookStream to database targets. This is needed for pyexcel-webio and its downstream projects. date: 12.06.2017 version: 0.5.1 - changes: - action: Added details: - Sheet.top() and Sheet.top_left() for data browsing - add html as default rich display in Jupyter notebook when pyexcel-text and pyexcel-chart is installed - add svg as default rich display in Jupyter notebook when pyexcel-chart and one of its implementation plugin(pyexcel-pygal, etc.) are is installed - 'new dictionary source supported: a dictionary of key value pair could be read into a sheet.' - added dynamic external plugin loading. meaning if a pyexcel plugin is installed, it will be loaded implicitly. And this change would remove unnecessary info log for those who do not use pyexcel-text and pyexcel-gal - save_book_as before 0.5.0 becomes isave_book_as and save_book_as in 0.5.0 convert BookStream to Book before saving. - '`#83`, file closing mechanism is enfored. free_resource is added and it should be called when iget_array, iget_records, isave_as and/or isave_book_as are used.' - action: Updated details: - array is passed to pyexcel.Sheet as reference. it means your array data will be modified. - action: Removed details: - pyexcel.Writer and pyexcel.BookWriter were removed - pyexcel.load_book_from_sql and pyexcel.load_from_sql were removed - pyexcel.deprecated.load_from_query_sets, pyexcel.deprecated.load_book_from_django_models and pyexcel.deprecated.load_from_django_model were removed - Removed plugin loading code and lml is used instead date: 19.06.2017 version: 0.5.0 - changes: - action: Updated details: - '`#80`: remove pyexcel-chart import from v0.4.x' date: 17.03.2017 version: 0.4.5 - changes: - action: Updated details: - '`#68`: regression save_to_memory() should have returned a stream instance which has been reset to zero if possible. The exception is sys.stdout, which cannot be reset.' - '`#74`: Not able to handle decimal.Decimal' - action: Removed details: - remove get_{{file_type}}_stream functions from pyexcel.Sheet and pyexcel.Book introduced since 0.4.3. date: 06.02.2017 version: 0.4.4 - changes: - action: Added details: - '''.stream'' attribute are attached to `~pyexcel.Sheet` and `~pyexcel.Book` to get direct access the underneath stream in responding to file type attributes, such as sheet.xls. it helps provide a custom stream to external world, for example, Sheet.stream.csv gives a text stream that contains csv formatted data. Book.stream.xls returns a xls format data in a byte stream.' - action: Updated details: - Better error reporting when an unknown parameters or unsupported file types were given to the signature functions. date: 26.01.2017 version: 0.4.3 - changes: - action: Updated details: - Raise exception if the incoming sheet does not have column names. In other words, only sheet with column names could be saved to database. sheet with row names cannot be saved. The alternative is to transpose the sheet, then name_columns_by_row and then save. - fix iget_records where a non-uniform content should be given, e.g. [["x", "y"], [1, 2], [3]], some record would become non-uniform, e.g. key 'y' would be missing from the second record. - '`skip_empty_rows` is applicable when saving a python data structure to another data source. For example, if your array contains a row which is consisted of empty string, such as ['''', '''', '''' ... ''''], please specify `skip_empty_rows=False` in order to preserve it. This becomes subtle when you try save a python dictionary where empty rows is not easy to be spotted.' - '`#69`: better documentation for save_book_as.' date: 17.01.2017 version: 0.4.2 - changes: - action: Updated details: - '`#68`: regression save_to_memory() should have returned a stream instance.' date: 23.12.2016 version: 0.4.1 - changes: - action: Added details: - '`Flask-Excel#19` allow sheet_name parameter' - '`pyexcel-xls#11` case-insensitive for file_type. `xls` and `XLS` are treated in the same way' - action: Updated details: - '`#66`: `export_columns` is ignored' - Update dependency on pyexcel-io v0.3.0 date: 22.12.2016 version: 0.4.0 - changes: - action: Updated details: - '`#63`: cannot display empty sheet(hence book with empty sheet) as texttable' date: 07.11.2016 version: 0.3.3 - changes: - action: Updated details: - '`#62`: optional module import error become visible.' date: 02.11.2016 version: 0.3.2 - changes: - action: 'Added:' details: - file type setters for Sheet and Book, and its documentation - '`iget_records` returns a generator for a list of records and should have better memory performance, especially dealing with large csv files.' - '`iget_array` returns a generator for a list of two dimensional array and should have better memory performance, especially dealing with large csv files.' - Enable pagination support, and custom row renderer via pyexcel-io v0.2.3 - action: Updated details: - Take `isave_as` out from `save_as`. Hence two functions are there for save a sheet as - '`#60`: encode ''utf-8'' if the console is of ascii encoding.' - '`#59`: custom row renderer' - '`#56`: set cell value does not work' - pyexcel.transpose becomes `pyexcel.sheets.transpose` - iterator functions of `pyexcel.Sheet` were converted to generator functions: - '`pyexcel.Sheet.enumerate()`' - '`pyexcel.Sheet.reverse()`' - '`pyexcel.Sheet.vertical()`' - '`pyexcel.Sheet.rvertical()`' - '`pyexcel.Sheet.rows()`' - '`pyexcel.Sheet.rrows()`' - '`pyexcel.Sheet.columns()`' - '`pyexcel.Sheet.rcolumns()`' - '`pyexcel.Sheet.named_rows()`' - '`pyexcel.Sheet.named_columns()`' - '`~pyexcel.Sheet.save_to_memory` and `~pyexcel.Book.save_to_memory` return the actual content. No longer they will return a io object hence you cannot call getvalue() on them.' - action: 'Removed:' details: - '`content` and `out_file` as function parameters to the signature functions are no longer supported.' - SourceFactory and RendererFactory are removed - The following methods are removed: - '`pyexcel.to_array`' - '`pyexcel.to_dict`' - '`pyexcel.utils.to_one_dimensional_array`' - '`pyexcel.dict_to_array`' - '`pyexcel.from_records`' - '`pyexcel.to_records`' - '`pyexcel.Sheet.filter` has been re-implemented and all filters were removed:': - '`pyexcel.filters.ColumnIndexFilter`' - '`pyexcel.filters.ColumnFilter`' - '`pyexcel.filters.RowFilter`' - '`pyexcel.filters.EvenColumnFilter`' - '`pyexcel.filters.OddColumnFilter`' - '`pyexcel.filters.EvenRowFilter`' - '`pyexcel.filters.OddRowFilter`' - '`pyexcel.filters.RowIndexFilter`' - '`pyexcel.filters.SingleColumnFilter`' - '`pyexcel.filters.RowValueFilter`' - '`pyexcel.filters.NamedRowValueFilter`' - '`pyexcel.filters.ColumnValueFilter`' - '`pyexcel.filters.NamedColumnValueFilter`' - '`pyexcel.filters.SingleRowFilter`' - the following functions have been removed: - '`add_formatter`' - '`remove_formatter`' - '`clear_formatters`' - '`freeze_formatters`' - '`add_filter`' - '`remove_filter`' - '`clear_filters`' - '`freeze_formatters`' - '`pyexcel.Sheet.filter` has been re-implemented and all filters were removed:': - pyexcel.formatters.SheetFormatter date: 28.10.2016 version: 0.3.0 - changes: - action: 'Updated:' details: - '`#58`: texttable should have been made as compulsory requirement' date: 31.08.2016 version: 0.2.5 - changes: - action: 'Updated:' details: - For python 2, writing to sys.stdout by pyexcel-cli raise IOError. date: 14.07.2016 version: 0.2.4 - changes: - action: 'Updated:' details: - For python 3, do not seek 0 when saving to memory if sys.stdout is passed on. Hence, adding support for sys.stdin and sys.stdout. date: 11.07.2016 version: 0.2.3 - changes: - action: 'Updated:' details: - Explicit imports, no longer needed - Depends on latest setuptools 18.0.1 - NotImplementedError will be raised if parameters to core functions are not supported, e.g. get_sheet(cannot_find_me_option="will be thrown out as NotImplementedError") date: 01.06.2016 version: 0.2.2 - changes: - action: 'Added:' details: - add pyexcel-text file types as attributes of pyexcel.Sheet and pyexcel.Book, related to `#31`_ - auto import pyexcel-text if it is pip installed - action: 'Updated:' details: - code refactoring done for easy addition of sources. - bug fix `#29`_, Even if the format is a string it is displayed as a float - pyexcel-text is no longer a plugin to pyexcel-io but to pyexcel.sources, see `pyexcel-text#22`_ - action: 'Removed:' details: - pyexcel.presentation is removed. No longer the internal decorate @outsource is used. related to `#31` date: 23.04.2016 version: 0.2.1 - changes: - action: Updated details: - adopt pyexcel-io yield key word to return generator as content - pyexcel.save_as and pyexcel.save_book_as get performance improvements date: 17.01.2016 version: 0.2.0 - changes: - action: Added details: - Support pyramid-excel which does the database commit on its own. date: 03.07.2015 version: 0.1.7 - changes: - action: Added details: - get excel data from a http url date: 13.06.2015 version: 0.1.6 - changes: - action: Added details: - Support django - texttable as default renderer date: 07.02.2015 version: 0.0.13 - changes: - action: Added details: - Added sqlalchemy support date: 25.01.2015 version: 0.0.12 - changes: - action: Added details: - added csvz and tsvz format date: 15.12.2015 version: 0.0.10 - changes: - action: Updated details: - Support python 3 date: 12.10.2014 version: 0.0.4 - changes: - action: 'Features:' details: - read and write csv, ods, xls, xlsx and xlsm files(which are referred later as excel files) - various iterators for the reader - row and column filters for the reader - utilities to get array and dictionary out from excel files. - cookbok receipes for some common and simple usage of this library. date: 14.09.2014 version: 0.0.1 pyexcel-0.7.0/docs/000077500000000000000000000000001420202037400141115ustar00rootroot00000000000000pyexcel-0.7.0/docs/Makefile000066400000000000000000000151671420202037400155630ustar00rootroot00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = build # User-friendly check for sphinx-build ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) $(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/) endif # Internal variables. 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Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) if "%1" == "html" ( %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html if errorlevel 1 exit /b 1 echo. echo.Build finished. The HTML pages are in %BUILDDIR%/html. goto end ) if "%1" == "dirhtml" ( %SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml if errorlevel 1 exit /b 1 echo. echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml. goto end ) if "%1" == "singlehtml" ( %SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml if errorlevel 1 exit /b 1 echo. echo.Build finished. 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The message catalogs are in %BUILDDIR%/locale. goto end ) if "%1" == "changes" ( %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes if errorlevel 1 exit /b 1 echo. echo.The overview file is in %BUILDDIR%/changes. goto end ) if "%1" == "linkcheck" ( %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck if errorlevel 1 exit /b 1 echo. echo.Link check complete; look for any errors in the above output ^ or in %BUILDDIR%/linkcheck/output.txt. goto end ) if "%1" == "doctest" ( %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest if errorlevel 1 exit /b 1 echo. echo.Testing of doctests in the sources finished, look at the ^ results in %BUILDDIR%/doctest/output.txt. goto end ) if "%1" == "xml" ( %SPHINXBUILD% -b xml %ALLSPHINXOPTS% %BUILDDIR%/xml if errorlevel 1 exit /b 1 echo. echo.Build finished. The XML files are in %BUILDDIR%/xml. goto end ) if "%1" == "pseudoxml" ( %SPHINXBUILD% -b pseudoxml %ALLSPHINXOPTS% %BUILDDIR%/pseudoxml if errorlevel 1 exit /b 1 echo. echo.Build finished. The pseudo-XML files are in %BUILDDIR%/pseudoxml. goto end ) :end pyexcel-0.7.0/docs/requirements.txt000066400000000000000000000002201420202037400173670ustar00rootroot00000000000000https://github.com/pyexcel/pyexcel-pygal/archive/master.zip https://github.com/pyexcel/sphinxcontrib-excel/archive/master.zip sphinx-copybutton pyexcel-0.7.0/docs/source/000077500000000000000000000000001420202037400154115ustar00rootroot00000000000000pyexcel-0.7.0/docs/source/_static/000077500000000000000000000000001420202037400170375ustar00rootroot00000000000000pyexcel-0.7.0/docs/source/_static/handsontable.full.min.css000066400000000000000000000540041420202037400237410ustar00rootroot00000000000000@charset "UTF-8";/*! (The MIT License) Copyright (c) 2012-2014 Marcin Warpechowski Copyright (c) 2015 Handsoncode sp. z o.o. 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t,o,n,r,i,s,a,l,u,w,y,C,_,R,M,S,E,O,T;T=this.wot.wtTable.getRenderedRowsCount();for(var k=0;k=e[0]&&D<=e[2]){_=D;break}}for(var x=T-1;x>=0;x--){var H=this.wot.wtTable.rowFilter.renderedToSource(x);if(H>=e[0]&&H<=e[2]){M=H;break}}T=this.wot.wtTable.getRenderedColumnsCount();for(var A=0;A=e[1]&&P<=e[3]){R=P;break}}for(var N=T-1;N>=0;N--){var L=this.wot.wtTable.columnFilter.renderedToSource(N);if(L>=e[1]&&L<=e[3]){S=L;break}}if(void 0===_||void 0===R)return void this.disappear();t=_!==M||R!==S,o=this.wot.wtTable.getCell(new b(_,R)),n=t?this.wot.wtTable.getCell(new b(M,S)):o,r=p(o),i=t?p(n):r,s=p(this.wot.wtTable.TABLE),l=r.top,y=i.top+g(n)-l,w=r.left,C=i.left+m(n)-w,a=l-s.top-1,u=w-s.left-1;var I=c(o);parseInt(I.borderTopWidth,10)>0&&(a+=1,y=y>0?y-1:0),parseInt(I.borderLeftWidth,10)>0&&(u+=1,C=C>0?C-1:0),this.topStyle.top=a+"px",this.topStyle.left=u+"px",this.topStyle.width=C+"px",this.topStyle.display="block",this.leftStyle.top=a+"px",this.leftStyle.left=u+"px",this.leftStyle.height=y+"px",this.leftStyle.display="block";var W=Math.floor(this.settings.border.width/2);this.bottomStyle.top=a+y-W+"px",this.bottomStyle.left=u+"px",this.bottomStyle.width=C+"px",this.bottomStyle.display="block",this.rightStyle.top=a+"px",this.rightStyle.left=u+C-W+"px",this.rightStyle.height=y+1+"px",this.rightStyle.display="block",v()||!this.hasSetting(this.settings.border.cornerVisible)||this.isPartRange(M,S)?this.cornerStyle.display="none":(this.cornerStyle.top=a+y-4+"px",this.cornerStyle.left=u+C-4+"px",this.cornerStyle.borderRightWidth=this.cornerDefaultStyle.borderWidth,this.cornerStyle.width=this.cornerDefaultStyle.width,this.cornerStyle.display="none",E=d(this.wot.wtTable.TABLE),S===this.wot.getSetting("totalColumns")-1&&(O=n.offsetLeft+m(n)+parseInt(this.cornerDefaultStyle.width)/2>=h(E),O&&(this.cornerStyle.left=Math.floor(u+C-3-parseInt(this.cornerDefaultStyle.width)/2)+"px",this.cornerStyle.borderRightWidth=0)),M===this.wot.getSetting("totalRows")-1&&(O=n.offsetTop+g(n)+parseInt(this.cornerDefaultStyle.height)/2>=f(E),O&&(this.cornerStyle.top=Math.floor(a+y-3-parseInt(this.cornerDefaultStyle.height)/2)+"px",this.cornerStyle.borderBottomWidth=0)),this.cornerStyle.display="block"),v()&&this.updateMultipleSelectionHandlesPosition(_,R,a,u,C,y)}},disappear:function(){this.topStyle.display="none",this.leftStyle.display="none",this.bottomStyle.display="none",this.rightStyle.display="none",this.cornerStyle.display="none",v()&&(this.selectionHandles.styles.topLeft.display="none",this.selectionHandles.styles.bottomRight.display="none")},hasSetting:function(e){return"function"==typeof e?e():!!e}},{}),window.WalkontableBorder=C},{"cell/coords":6,eventManager:42,"helpers/browser":44,"helpers/dom/element":47,"helpers/dom/event":48,"overlay/_base.js":12}],4:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableViewportColumnsCalculator:{get:function(){return r}},__esModule:{value:!0}});var n=new WeakMap,r=function(e,t,o,r,i,s,a){var l=void 0!==arguments[7]?arguments[7]:function(e){return e};n.set(this,{viewportWidth:e,scrollOffset:t,totalColumns:o,columnWidthFn:r,overrideFn:i,onlyFullyVisible:s,stretchingColumnWidthFn:l}),this.count=0,this.startColumn=null,this.endColumn=null,this.startPosition=null,this.stretchAllRatio=0,this.stretchLastWidth=0,this.stretch=a,this.totalTargetWidth=0,this.needVerifyLastColumnWidth=!0,this.stretchAllColumnsWidth=[],this.calculate()},i=r;$traceurRuntime.createClass(r,{calculate:function(){for(var e,t=0,o=!0,r=[],i=n.get(this),s=i.onlyFullyVisible,a=i.overrideFn,l=i.scrollOffset,u=i.totalColumns,c=i.viewportWidth,d=0;d0?c+1:c;if(t>=l&&t+e<=l+h&&(null==this.startColumn&&(this.startColumn=d),this.endColumn=d),r.push(t),t+=e,s||(this.endColumn=d),t>=l+c){o=!1;break}}if(this.endColumn===u-1&&o)for(this.startColumn=this.endColumn;this.startColumn>0;){var f=r[this.endColumn]+e-r[this.startColumn-1];if((f<=c||!s)&&this.startColumn--,f>c)break}null!==this.startColumn&&a&&a(this),this.startPosition=r[this.startColumn],void 0==this.startPosition&&(this.startPosition=null),null!==this.startColumn&&(this.count=this.endColumn-this.startColumn+1)},refreshStretching:function(e){if("none"!==this.stretch){this.totalTargetWidth=e;for(var t=n.get(this),o=t.totalColumns,r=0,i=0;i0)this.stretchAllRatio=e/r,this.stretchAllColumnsWidth=[],this.needVerifyLastColumnWidth=!0;else if("last"===this.stretch&&e!==1/0){var u=this._getColumnWidth(o-1),c=l+u;this.stretchLastWidth=c>=0?c:u}}},getStretchedColumnWidth:function(e,t){var o=null;return"all"===this.stretch&&0!==this.stretchAllRatio?o=this._getStretchedAllColumnWidth(e,t):"last"===this.stretch&&0!==this.stretchLastWidth&&(o=this._getStretchedLastColumnWidth(e)),o},_getStretchedAllColumnWidth:function(e,t){var o=0,r=n.get(this),i=r.totalColumns;if(!this.stretchAllColumnsWidth[e]){var s=Math.round(t*this.stretchAllRatio),a=r.stretchingColumnWidthFn(s,e);void 0===a?this.stretchAllColumnsWidth[e]=s:this.stretchAllColumnsWidth[e]=isNaN(a)?this._getColumnWidth(e):a}if(this.stretchAllColumnsWidth.length===i&&this.needVerifyLastColumnWidth){this.needVerifyLastColumnWidth=!1;for(var l=0;l=u&&e+p<=u+d-h&&(null===this.startRow&&(this.startRow=f),this.endRow=f),o.push(e),e+=p,s||(this.endRow=f),e>=u+d-h){t=!1;break}}if(this.endRow===c-1&&t)for(this.startRow=this.endRow;this.startRow>0;){var g=o[this.endRow]+p-o[this.startRow-1];if((g<=d-h||!s)&&this.startRow--,g>=d-h)break}null!==this.startRow&&a&&a(this),this.startPosition=o[this.startRow],void 0==this.startPosition&&(this.startPosition=null),null!==this.startRow&&(this.count=this.endRow-this.startRow+1)}},{get DEFAULT_HEIGHT(){return 23}}),window.WalkontableViewportRowsCalculator=r},{}],6:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableCellCoords:{get:function(){return n}},__esModule:{value:!0}});var n=function(e,t){"undefined"!=typeof e&&"undefined"!=typeof t?(this.row=e,this.col=t):(this.row=null,this.col=null)};$traceurRuntime.createClass(n,{isValid:function(e){return!(this.row<0||this.col<0)&&!(this.row>=e.getSetting("totalRows")||this.col>=e.getSetting("totalColumns"))},isEqual:function(e){return e===this||this.row===e.row&&this.col===e.col},isSouthEastOf:function(e){return this.row>=e.row&&this.col>=e.col},isNorthWestOf:function(e){return this.row<=e.row&&this.col<=e.col},isSouthWestOf:function(e){return this.row>=e.row&&this.col<=e.col},isNorthEastOf:function(e){return this.row<=e.row&&this.col>=e.col}},{}),window.WalkontableCellCoords=n},{}],7:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableCellRange:{get:function(){return i}},__esModule:{value:!0}});var n,r=(n=e("cell/coords"),n&&n.__esModule&&n||{default:n}).WalkontableCellCoords,i=function(e,t,o){this.highlight=e,this.from=t,this.to=o},s=i;$traceurRuntime.createClass(i,{isValid:function(e){return this.from.isValid(e)&&this.to.isValid(e)},isSingle:function(){return this.from.row===this.to.row&&this.from.col===this.to.col},getHeight:function(){return Math.max(this.from.row,this.to.row)-Math.min(this.from.row,this.to.row)+1},getWidth:function(){return Math.max(this.from.col,this.to.col)-Math.min(this.from.col,this.to.col)+1},includes:function(e){var t=e,o=t.row,n=t.col,r=this.getTopLeftCorner(),i=this.getBottomRightCorner();return r.row<=o&&i.row>=o&&r.col<=n&&i.col>=n},includesRange:function(e){return this.includes(e.getTopLeftCorner())&&this.includes(e.getBottomRightCorner())},isEqual:function(e){return Math.min(this.from.row,this.to.row)==Math.min(e.from.row,e.to.row)&&Math.max(this.from.row,this.to.row)==Math.max(e.from.row,e.to.row)&&Math.min(this.from.col,this.to.col)==Math.min(e.from.col,e.to.col)&&Math.max(this.from.col,this.to.col)==Math.max(e.from.col,e.to.col)},overlaps:function(e){return e.isSouthEastOf(this.getTopLeftCorner())&&e.isNorthWestOf(this.getBottomRightCorner())},isSouthEastOf:function(e){return this.getTopLeftCorner().isSouthEastOf(e)||this.getBottomRightCorner().isSouthEastOf(e)},isNorthWestOf:function(e){return this.getTopLeftCorner().isNorthWestOf(e)||this.getBottomRightCorner().isNorthWestOf(e)},expand:function(e){var t=this.getTopLeftCorner(),o=this.getBottomRightCorner();return(e.rowo.row||e.col>o.col)&&(this.from=new r(Math.min(t.row,e.row),Math.min(t.col,e.col)),this.to=new r(Math.max(o.row,e.row),Math.max(o.col,e.col)),!0)},expandByRange:function(e){if(this.includesRange(e)||!this.overlaps(e))return!1;var t=this.getTopLeftCorner(),o=this.getBottomRightCorner(),n=(this.getTopRightCorner(),this.getBottomLeftCorner(),e.getTopLeftCorner()),i=e.getBottomRightCorner(),a=Math.min(t.row,n.row),l=Math.min(t.col,n.col),u=Math.max(o.row,i.row),c=Math.max(o.col,i.col),d=new r(a,l),h=new r(u,c),f=new s(d,d,h).isCorner(this.from,e),p=e.isEqual(new s(d,d,h));return f&&!p&&(this.from.col>d.col&&(d.col=c,h.col=l),this.from.row>d.row&&(d.row=u,h.row=a)),this.from=d,this.to=h,!0},getDirection:function(){return this.from.isNorthWestOf(this.to)?"NW-SE":this.from.isNorthEastOf(this.to)?"NE-SW":this.from.isSouthEastOf(this.to)?"SE-NW":this.from.isSouthWestOf(this.to)?"SW-NE":void 0},setDirection:function(e){var t,o,n,r;switch(e){case"NW-SE":t=[this.getTopLeftCorner(),this.getBottomRightCorner()],this.from=t[0],this.to=t[1],t;break;case"NE-SW":o=[this.getTopRightCorner(),this.getBottomLeftCorner()],this.from=o[0],this.to=o[1],o;break;case"SE-NW":n=[this.getBottomRightCorner(),this.getTopLeftCorner()],this.from=n[0],this.to=n[1],n;break;case"SW-NE":r=[this.getBottomLeftCorner(),this.getTopRightCorner()],this.from=r[0],this.to=r[1],r}},getTopLeftCorner:function(){return new r(Math.min(this.from.row,this.to.row),Math.min(this.from.col,this.to.col))},getBottomRightCorner:function(){return new r(Math.max(this.from.row,this.to.row),Math.max(this.from.col,this.to.col))},getTopRightCorner:function(){return new r(Math.min(this.from.row,this.to.row),Math.max(this.from.col,this.to.col))},getBottomLeftCorner:function(){return new r(Math.max(this.from.row,this.to.row),Math.min(this.from.col,this.to.col))},isCorner:function(e,t){return!!(t&&t.includes(e)&&(this.getTopLeftCorner().isEqual(new r(t.from.row,t.from.col))||this.getTopRightCorner().isEqual(new r(t.from.row,t.to.col))||this.getBottomLeftCorner().isEqual(new r(t.to.row,t.from.col))||this.getBottomRightCorner().isEqual(new r(t.to.row,t.to.col))))||(e.isEqual(this.getTopLeftCorner())||e.isEqual(this.getTopRightCorner())||e.isEqual(this.getBottomLeftCorner())||e.isEqual(this.getBottomRightCorner()))},getOppositeCorner:function(e,t){if(!(e instanceof r))return!1;if(t&&t.includes(e)){if(this.getTopLeftCorner().isEqual(new r(t.from.row,t.from.col)))return this.getBottomRightCorner();if(this.getTopRightCorner().isEqual(new r(t.from.row,t.to.col)))return this.getBottomLeftCorner();if(this.getBottomLeftCorner().isEqual(new r(t.to.row,t.from.col)))return this.getTopRightCorner();if(this.getBottomRightCorner().isEqual(new r(t.to.row,t.to.col)))return this.getTopLeftCorner()}return e.isEqual(this.getBottomRightCorner())?this.getTopLeftCorner():e.isEqual(this.getTopLeftCorner())?this.getBottomRightCorner():e.isEqual(this.getTopRightCorner())?this.getBottomLeftCorner():e.isEqual(this.getBottomLeftCorner())?this.getTopRightCorner():void 0},getBordersSharedWith:function(e){if(!this.includesRange(e))return[];var t={top:Math.min(this.from.row,this.to.row),bottom:Math.max(this.from.row,this.to.row),left:Math.min(this.from.col,this.to.col),right:Math.max(this.from.col,this.to.col)},o={top:Math.min(e.from.row,e.to.row),bottom:Math.max(e.from.row,e.to.row),left:Math.min(e.from.col,e.to.col),right:Math.max(e.from.col,e.to.col)},n=[];return t.top==o.top&&n.push("top"),t.right==o.right&&n.push("right"),t.bottom==o.bottom&&n.push("bottom"),t.left==o.left&&n.push("left"),n},getInner:function(){for(var e=this.getTopLeftCorner(),t=this.getBottomRightCorner(),o=[],n=e.row;n<=t.row;n++)for(var i=e.col;i<=t.col;i++)this.from.row===n&&this.from.col===i||this.to.row===n&&this.to.col===i||o.push(new r(n,i));return o},getAll:function(){for(var e=this.getTopLeftCorner(),t=this.getBottomRightCorner(),o=[],n=e.row;n<=t.row;n++)for(var i=e.col;i<=t.col;i++)e.row===n&&e.col===i?o.push(e):t.row===n&&t.col===i?o.push(t):o.push(new r(n,i));return o},forAll:function(e){for(var t=this.getTopLeftCorner(),o=this.getBottomRightCorner(),n=t.row;n<=o.row;n++)for(var r=t.col;r<=o.col;r++){var i=e(n,r);if(i===!1)return}}},{}),window.WalkontableCellRange=i},{"cell/coords":6}],8:[function(e,t,o){"use strict";Object.defineProperties(o,{Walkontable:{get:function(){return H}},__esModule:{value:!0}});var n,r,i,s,a,l,u,c,d,h,f,p,g,m,w=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}),v=w.addClass,y=w.fastInnerText,b=w.isVisible,C=w.removeClass,_=(r=e("helpers/object"),r&&r.__esModule&&r||{default:r}).objectEach,R=(i=e("helpers/string"),i&&i.__esModule&&i||{default:i}),M=R.toUpperCaseFirst,S=R.randomString,E=(s=e("event"),s&&s.__esModule&&s||{default:s}).WalkontableEvent,O=(a=e("overlays"),a&&a.__esModule&&a||{default:a}).WalkontableOverlays,T=(l=e("scroll"),l&&l.__esModule&&l||{default:l}).WalkontableScroll,k=(u=e("settings"),u&&u.__esModule&&u||{default:u}).WalkontableSettings,D=(c=e("table"),c&&c.__esModule&&c||{default:c}).WalkontableTable,x=(d=e("viewport"),d&&d.__esModule&&d||{default:d}).WalkontableViewport,H=((h=e("overlay/_base.js"),h&&h.__esModule&&h||{default:h}).WalkontableOverlay,(f=e("overlay/top.js"),f&&f.__esModule&&f||{default:f}).WalkontableTopOverlay,(p=e("overlay/left.js"),p&&p.__esModule&&p||{default:p}).WalkontableLeftOverlay,(g=e("overlay/debug.js"),g&&g.__esModule&&g||{default:g}).WalkontableDebugOverlay,(m=e("overlay/topLeftCorner.js"),m&&m.__esModule&&m||{default:m}).WalkontableTopLeftCornerOverlay,function(e){var t=[];if(this.guid="wt_"+S(),e.cloneSource?(this.cloneSource=e.cloneSource,this.cloneOverlay=e.cloneOverlay,this.wtSettings=e.cloneSource.wtSettings,this.wtTable=new D(this,e.table,e.wtRootElement),this.wtScroll=new T(this),this.wtViewport=e.cloneSource.wtViewport,this.wtEvent=new E(this),this.selections=this.cloneSource.selections):(this.wtSettings=new k(this,e),this.wtTable=new D(this,e.table),this.wtScroll=new T(this),this.wtViewport=new x(this),this.wtEvent=new E(this),this.selections=this.getSetting("selections"),this.wtOverlays=new O(this),this.exportSettingsAsClassNames()),this.wtTable.THEAD.childNodes.length&&this.wtTable.THEAD.childNodes[0].childNodes.length){for(var o=0,n=this.wtTable.THEAD.childNodes[0].childNodes.length;o=o-r){if(this.wtOverlays.bottomLeftCornerOverlay&&this.wtOverlays.bottomLeftCornerOverlay.clone)return this.wtOverlays.bottomLeftCornerOverlay.clone.wtTable.getCell(e)}else{if(e.colo-r&&this.wtOverlays.bottomOverlay&&this.wtOverlays.bottomOverlay.clone)return this.wtOverlays.bottomOverlay.clone.wtTable.getCell(e)}return this.wtTable.getCell(e)},update:function(e,t){return this.wtSettings.update(e,t)},scrollVertical:function(e){return this.wtOverlays.topOverlay.scrollTo(e),this.getSetting("onScrollVertically"),this},scrollHorizontal:function(e){return this.wtOverlays.leftOverlay.scrollTo(e),this.getSetting("onScrollHorizontally"),this},scrollViewport:function(e){return this.wtScroll.scrollViewport(e),this},getViewport:function(){return[this.wtTable.getFirstVisibleRow(),this.wtTable.getFirstVisibleColumn(),this.wtTable.getLastVisibleRow(),this.wtTable.getLastVisibleColumn()]},getOverlayName:function(){return this.cloneOverlay?this.cloneOverlay.type:"master"},isOverlayName:function(e){return!!this.cloneOverlay&&this.cloneOverlay.type===e},exportSettingsAsClassNames:function(){var e=this,t={rowHeaders:["array"],columnHeaders:["array"]},o=[],n=[];_(t,function(t,r){t.indexOf("array")>-1&&e.getSetting(r).length&&n.push("ht"+M(r)),o.push("ht"+M(r))}),C(this.wtTable.wtRootElement.parentNode,o),v(this.wtTable.wtRootElement.parentNode,n)},getSetting:function(e,t,o,n,r){return this.wtSettings.getSetting(e,t,o,n,r)},hasSetting:function(e){return this.wtSettings.has(e)},destroy:function(){this.wtOverlays.destroy(),this.wtEvent.destroy()}},{}),window.Walkontable=H},{event:9,"helpers/dom/element":47,"helpers/object":53,"helpers/string":55,"overlay/_base.js":12,"overlay/debug.js":13,"overlay/left.js":14,"overlay/top.js":15,"overlay/topLeftCorner.js":16,overlays:17,scroll:18,settings:20,table:21,viewport:23}],9:[function(e,t,o){"use strict";function n(e){var t=this,o=g(e);this.instance=e;var n=[null,null];this.dblClickTimeout=[null,null];var r,i=function(e){var o=document.activeElement,r=f(h,e.realTarget),i=e.realTarget;if(i!==o&&r(0)!==o&&r(1)!==o){var s=t.parentCell(i);c(i,"corner")?t.instance.getSetting("onCellCornerMouseDown",e,i):s.TD&&t.instance.hasSetting("onCellMouseDown")&&t.instance.getSetting("onCellMouseDown",e,s.coords,s.TD,t.instance),2!==e.button&&s.TD&&(n[0]=s.TD,clearTimeout(t.dblClickTimeout[0]),t.dblClickTimeout[0]=setTimeout(function(){n[0]=null},1e3))}},s=function(e){t.instance.touchMoving=!0},a=function(e){o.addEventListener(this,"touchmove",s),t.checkIfTouchMove=setTimeout(function(){return t.instance.touchMoving===!0?(t.instance.touchMoving=void 0,void o.removeEventListener("touchmove",s,!1)):void i(e)},30)},l=function(e){var o,n,r;t.instance.hasSetting("onCellMouseOver")&&(o=t.instance.wtTable.TABLE,n=u(e.realTarget,["TD","TH"],o),r=t.instance.cloneSource||t.instance,n&&n!==r.lastMouseOver&&d(n,o)&&(r.lastMouseOver=n,t.instance.getSetting("onCellMouseOver",e,t.instance.wtTable.getCoords(n),n,t.instance)))},m=function(e){if(2!==e.button){var o=t.parentCell(e.realTarget);o.TD===n[0]&&o.TD===n[1]?(c(e.realTarget,"corner")?t.instance.getSetting("onCellCornerDblClick",e,o.coords,o.TD,t.instance):t.instance.getSetting("onCellDblClick",e,o.coords,o.TD,t.instance),n[0]=null,n[1]=null):o.TD===n[0]?(t.instance.getSetting("onCellMouseUp",e,o.coords,o.TD,t.instance),n[1]=o.TD,clearTimeout(t.dblClickTimeout[1]),t.dblClickTimeout[1]=setTimeout(function(){n[1]=null},500)):o.TD&&t.instance.hasSetting("onCellMouseUp")&&t.instance.getSetting("onCellMouseUp",e,o.coords,o.TD,t.instance)}},w=function(e){clearTimeout(r),e.preventDefault(),m(e)};if(o.addEventListener(this.instance.wtTable.holder,"mousedown",i),o.addEventListener(this.instance.wtTable.TABLE,"mouseover",l),o.addEventListener(this.instance.wtTable.holder,"mouseup",m),this.instance.wtTable.holder.parentNode.parentNode&&p()&&!t.instance.wtTable.isWorkingOnClone()){var v="."+this.instance.wtTable.holder.parentNode.className.split(" ").join(".");o.addEventListener(this.instance.wtTable.holder,"touchstart",function(e){t.instance.touchApplied=!0,d(e.target,v)&&a.call(e.target,e)}),o.addEventListener(this.instance.wtTable.holder,"touchend",function(e){t.instance.touchApplied=!1,d(e.target,v)&&w.call(e.target,e)}),t.instance.momentumScrolling||(t.instance.momentumScrolling={}),o.addEventListener(this.instance.wtTable.holder,"scroll",function(e){clearTimeout(t.instance.momentumScrolling._timeout),t.instance.momentumScrolling.ongoing||t.instance.getSetting("onBeforeTouchScroll"),t.instance.momentumScrolling.ongoing=!0,t.instance.momentumScrolling._timeout=setTimeout(function(){t.instance.touchApplied||(t.instance.momentumScrolling.ongoing=!1,t.instance.getSetting("onAfterMomentumScroll"))},200)})}o.addEventListener(window,"resize",function(){"none"!==t.instance.getSetting("stretchH")&&t.instance.draw()}),this.destroy=function(){clearTimeout(this.dblClickTimeout[0]),clearTimeout(this.dblClickTimeout[1]),o.destroy()}}Object.defineProperties(o,{WalkontableEvent:{get:function(){return n}},__esModule:{value:!0}});var r,i,s,a,l=(r=e("helpers/dom/element"),r&&r.__esModule&&r||{default:r}),u=l.closestDown,c=l.hasClass,d=l.isChildOf,h=l.getParent,f=(i=e("helpers/function"),i&&i.__esModule&&i||{default:i}).partial,p=(s=e("helpers/browser"),s&&s.__esModule&&s||{default:s}).isMobileBrowser,g=(a=e("eventManager"),a&&a.__esModule&&a||{default:a}).eventManager;n.prototype.parentCell=function(e){var t={},o=this.instance.wtTable.TABLE,n=u(e,["TD","TH"],o);return n?(t.coords=this.instance.wtTable.getCoords(n),t.TD=n):c(e,"wtBorder")&&c(e,"current")?(t.coords=this.instance.selections.current.cellRange.highlight,t.TD=this.instance.wtTable.getCell(t.coords)):c(e,"wtBorder")&&c(e,"area")&&this.instance.selections.area.cellRange&&(t.coords=this.instance.selections.area.cellRange.to,t.TD=this.instance.wtTable.getCell(t.coords)),t},window.WalkontableEvent=n},{eventManager:42,"helpers/browser":44,"helpers/dom/element":47,"helpers/function":50}],10:[function(e,t,o){"use strict";Object.defineProperties(o,{ WalkontableColumnFilter:{get:function(){return n}},__esModule:{value:!0}});var n=function(e,t,o){this.offset=e,this.total=t,this.countTH=o};$traceurRuntime.createClass(n,{offsetted:function(e){return e+this.offset},unOffsetted:function(e){return e-this.offset},renderedToSource:function(e){return this.offsetted(e)},sourceToRendered:function(e){return this.unOffsetted(e)},offsettedTH:function(e){return e-this.countTH},unOffsettedTH:function(e){return e+this.countTH},visibleRowHeadedColumnToSourceColumn:function(e){return this.renderedToSource(this.offsettedTH(e))},sourceColumnToVisibleRowHeadedColumn:function(e){return this.unOffsettedTH(this.sourceToRendered(e))}},{}),window.WalkontableColumnFilter=n},{}],11:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableRowFilter:{get:function(){return n}},__esModule:{value:!0}});var n=function(e,t,o){this.offset=e,this.total=t,this.countTH=o};$traceurRuntime.createClass(n,{offsetted:function(e){return e+this.offset},unOffsetted:function(e){return e-this.offset},renderedToSource:function(e){return this.offsetted(e)},sourceToRendered:function(e){return this.unOffsetted(e)},offsettedTH:function(e){return e-this.countTH},unOffsettedTH:function(e){return e+this.countTH},visibleColHeadedRowToSourceRow:function(e){return this.renderedToSource(this.offsettedTH(e))},sourceRowToVisibleColHeadedRow:function(e){return this.unOffsettedTH(this.sourceToRendered(e))}},{}),window.WalkontableRowFilter=n},{}],12:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableOverlay:{get:function(){return p}},__esModule:{value:!0}});var n,r,i,s,a=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}),l=a.getScrollableElement,u=a.getTrimmingContainer,c=(r=e("helpers/object"),r&&r.__esModule&&r||{default:r}).defineGetter,d=(i=e("helpers/array"),i&&i.__esModule&&i||{default:i}).arrayEach,h=(s=e("eventManager"),s&&s.__esModule&&s||{default:s}).eventManager,f={},p=function(e){c(this,"wot",e,{writable:!1}),this.instance=this.wot,this.type="",this.mainTableScrollableElement=null,this.TABLE=this.wot.wtTable.TABLE,this.hider=this.wot.wtTable.hider,this.spreader=this.wot.wtTable.spreader,this.holder=this.wot.wtTable.holder,this.wtRootElement=this.wot.wtTable.wtRootElement,this.trimmingContainer=u(this.hider.parentNode.parentNode),this.areElementSizesAdjusted=!1,this.updateStateOfRendering()},g=p;$traceurRuntime.createClass(p,{updateStateOfRendering:function(){var e=this.needFullRender;this.needFullRender=this.shouldBeRendered();var t=e!==this.needFullRender;return t&&!this.needFullRender&&this.reset(),t},shouldBeRendered:function(){return!0},updateTrimmingContainer:function(){this.trimmingContainer=u(this.hider.parentNode.parentNode)},updateMainScrollableElement:function(){this.mainTableScrollableElement=l(this.wot.wtTable.TABLE)},makeClone:function(e){if(g.CLONE_TYPES.indexOf(e)===-1)throw new Error('Clone type "'+e+'" is not supported.');var t=document.createElement("DIV"),o=document.createElement("TABLE");t.className="ht_clone_"+e+" handsontable",t.style.position="absolute",t.style.top=0,t.style.left=0,t.style.overflow="hidden",o.className=this.wot.wtTable.TABLE.className,t.appendChild(o),this.type=e,this.wot.wtTable.wtRootElement.parentNode.appendChild(t);var n=this.wot.getSetting("preventOverflow");return n===!0||"horizontal"===n&&this.type===g.CLONE_TOP||"vertical"===n&&this.type===g.CLONE_LEFT?this.mainTableScrollableElement=window:this.mainTableScrollableElement=l(this.wot.wtTable.TABLE),new Walkontable({cloneSource:this.wot,cloneOverlay:this,table:o})},refresh:function(){var e=void 0!==arguments[0]&&arguments[0],t=this.shouldBeRendered();this.clone&&(this.needFullRender||t)&&this.clone.draw(e),this.needFullRender=t},reset:function(){if(this.clone){var e=this.clone.wtTable.holder,t=this.clone.wtTable.hider,o=e.style,n=t.style,r=e.parentNode.style;d([o,n,r],function(e){e.width="",e.height=""})}},destroy:function(){h(this.clone).destroy()}},{get CLONE_TOP(){return"top"},get CLONE_BOTTOM(){return"bottom"},get CLONE_LEFT(){return"left"},get CLONE_TOP_LEFT_CORNER(){return"top_left_corner"},get CLONE_BOTTOM_LEFT_CORNER(){return"bottom_left_corner"},get CLONE_DEBUG(){return"debug"},get CLONE_TYPES(){return[g.CLONE_TOP,g.CLONE_BOTTOM,g.CLONE_LEFT,g.CLONE_TOP_LEFT_CORNER,g.CLONE_BOTTOM_LEFT_CORNER,g.CLONE_DEBUG]},registerOverlay:function(e,t){if(g.CLONE_TYPES.indexOf(e)===-1)throw new Error("Unsupported overlay ("+e+").");f[e]=t},createOverlay:function(e,t){return new f[e](t)},isOverlayTypeOf:function(e,t){return!(!e||!f[t])&&e instanceof f[t]}}),window.WalkontableOverlay=p},{eventManager:42,"helpers/array":43,"helpers/dom/element":47,"helpers/object":53}],13:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableDebugOverlay:{get:function(){return a}},__esModule:{value:!0}});var n,r,i=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}).addClass,s=(r=e("_base"),r&&r.__esModule&&r||{default:r}).WalkontableOverlay,a=function(e){$traceurRuntime.superConstructor(l).call(this,e),this.clone=this.makeClone(s.CLONE_DEBUG),this.clone.wtTable.holder.style.opacity=.4,this.clone.wtTable.holder.style.textShadow="0 0 2px #ff0000",i(this.clone.wtTable.holder.parentNode,"wtDebugVisible")},l=a;$traceurRuntime.createClass(a,{},{},s),window.WalkontableDebugOverlay=a,s.registerOverlay(s.CLONE_DEBUG,a)},{_base:12,"helpers/dom/element":47}],14:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableLeftOverlay:{get:function(){return w}},__esModule:{value:!0}});var n,r,i=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}),s=i.addClass,a=i.getScrollbarWidth,l=i.getScrollLeft,u=i.getWindowScrollTop,c=i.hasClass,d=i.outerWidth,h=i.innerHeight,f=i.removeClass,p=i.setOverlayPosition,g=i.resetCssTransform,m=(r=e("_base"),r&&r.__esModule&&r||{default:r}).WalkontableOverlay,w=function(e){$traceurRuntime.superConstructor(v).call(this,e),this.clone=this.makeClone(m.CLONE_LEFT)},v=w;$traceurRuntime.createClass(w,{shouldBeRendered:function(){return!(!this.wot.getSetting("fixedColumnsLeft")&&!this.wot.getSetting("rowHeaders").length)},resetFixedPosition:function(){if(this.needFullRender&&this.wot.wtTable.holder.parentNode){var e=this.clone.wtTable.holder.parentNode,t=0,o=this.wot.getSetting("preventOverflow");if(this.trimmingContainer!==window||o&&"horizontal"===o)t=this.getScrollPosition(),g(e);else{var n,r,i=this.wot.wtTable.hider.getBoundingClientRect(),s=Math.ceil(i.left),a=Math.ceil(i.right);r=this.wot.wtTable.hider.style.top,r=""===r?0:r,n=s<0&&a-e.offsetWidth>0?-s:0,t=n,n+="px",p(e,n,r)}this.adjustHeaderBordersPosition(t),this.adjustElementsSize()}},setScrollPosition:function(e){this.mainTableScrollableElement===window?window.scrollTo(e,u()):this.mainTableScrollableElement.scrollLeft=e},onScroll:function(){this.wot.getSetting("onScrollVertically")},sumCellSizes:function(e,t){for(var o=0,n=this.wot.wtSettings.defaultColumnWidth;e0?-s:0,t=r,r+="px",p(e,n,r)}this.adjustHeaderBordersPosition(t),this.adjustElementsSize()}},setScrollPosition:function(e){this.mainTableScrollableElement===window?window.scrollTo(u(),e):this.mainTableScrollableElement.scrollTop=e},onScroll:function(){this.wot.getSetting("onScrollHorizontally")},sumCellSizes:function(e,t){for(var o=0,n=this.wot.wtSettings.settings.defaultRowHeight;e0){var n=c(t,"innerBorderTop");e||0===this.wot.getSetting("totalRows")?s(t,"innerBorderTop"):f(t,"innerBorderTop"),(!n&&e||n&&!e)&&this.wot.wtOverlays.adjustElementsSize()}if(0===this.wot.getSetting("rowHeaders").length){var r=this.clone.wtTable.THEAD.querySelectorAll("th:nth-of-type(2)");if(r)for(var i=0;i0&&(f=-c+"px"),n&&"horizontal"!==n||i<0&&d-e.offsetHeight>0&&(p=-i+"px"),l(e,f,p)}else u(e);e.style.height=(0===t?t:t+4)+"px",e.style.width=(0===o?o:o+4)+"px"}}},{},c),window.WalkontableTopLeftCornerOverlay=d,c.registerOverlay(c.CLONE_TOP_LEFT_CORNER,d)},{_base:12,"helpers/dom/element":47}],17:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableOverlays:{get:function(){return w}},__esModule:{value:!0}});var n,r,i,s,a,l=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}),u=l.getScrollableElement,c=l.getScrollbarWidth,d=l.getScrollLeft,h=l.getScrollTop,f=(r=e("helpers/array"),r&&r.__esModule&&r||{default:r}).arrayEach,p=(i=e("helpers/unicode"),i&&i.__esModule&&i||{default:i}).isKey,g=(s=e("helpers/browser"),s&&s.__esModule&&s||{default:s}).isMobileBrowser,m=(a=e("eventManager"),a&&a.__esModule&&a||{default:a}).EventManager,w=function(e){this.wot=e,this.instance=this.wot,this.eventManager=new m(this.wot),this.wot.update("scrollbarWidth",c()),this.wot.update("scrollbarHeight",c()),this.scrollableElement=u(this.wot.wtTable.TABLE),this.prepareOverlays(),this.destroyed=!1,this.keyPressed=!1,this.spreaderLastSize={width:null,height:null},this.overlayScrollPositions={master:{top:0,left:0},top:{top:null,left:0},bottom:{top:null,left:0},left:{top:0,left:null}},this.pendingScrollCallbacks={master:{top:0,left:0},top:{left:0},bottom:{left:0},left:{top:0}},this.verticalScrolling=!1,this.horizontalScrolling=!1,this.delegatedScrollCallback=!1,this.registeredListeners=[],this.registerListeners()};$traceurRuntime.createClass(w,{prepareOverlays:function(){var e=!1;return this.topOverlay?e=this.topOverlay.updateStateOfRendering()||e:this.topOverlay=WalkontableOverlay.createOverlay(WalkontableOverlay.CLONE_TOP,this.wot),"undefined"==typeof WalkontableBottomOverlay&&(this.bottomOverlay={needFullRender:!1,updateStateOfRendering:function(){return!1}}),"undefined"==typeof WalkontableBottomLeftCornerOverlay&&(this.bottomLeftCornerOverlay={needFullRender:!1,updateStateOfRendering:function(){return!1}}),this.bottomOverlay?e=this.bottomOverlay.updateStateOfRendering()||e:this.bottomOverlay=WalkontableOverlay.createOverlay(WalkontableOverlay.CLONE_BOTTOM,this.wot),this.leftOverlay?e=this.leftOverlay.updateStateOfRendering()||e:this.leftOverlay=WalkontableOverlay.createOverlay(WalkontableOverlay.CLONE_LEFT,this.wot),this.topOverlay.needFullRender&&this.leftOverlay.needFullRender&&(this.topLeftCornerOverlay?e=this.topLeftCornerOverlay.updateStateOfRendering()||e:this.topLeftCornerOverlay=WalkontableOverlay.createOverlay(WalkontableOverlay.CLONE_TOP_LEFT_CORNER,this.wot)),this.bottomOverlay.needFullRender&&this.leftOverlay.needFullRender&&(this.bottomLeftCornerOverlay?e=this.bottomLeftCornerOverlay.updateStateOfRendering()||e:this.bottomLeftCornerOverlay=WalkontableOverlay.createOverlay(WalkontableOverlay.CLONE_BOTTOM_LEFT_CORNER,this.wot)),this.wot.getSetting("debug")&&!this.debug&&(this.debug=WalkontableOverlay.createOverlay(WalkontableOverlay.CLONE_DEBUG,this.wot)),e},refreshAll:function(){if(this.wot.drawn){if(!this.wot.wtTable.holder.parentNode)return void this.destroy();this.wot.draw(!0),this.verticalScrolling&&this.leftOverlay.onScroll(),this.horizontalScrolling&&this.topOverlay.onScroll(),this.verticalScrolling=!1,this.horizontalScrolling=!1}},registerListeners:function(){var e=this,t=this.topOverlay.mainTableScrollableElement,o=this.leftOverlay.mainTableScrollableElement,n=[];for(n.push([document.documentElement,"keydown",function(t){return e.onKeyDown(t)}]),n.push([document.documentElement,"keyup",function(){return e.onKeyUp()}]),n.push([document,"visibilitychange",function(){return e.onKeyUp()}]),n.push([t,"scroll",function(t){return e.onTableScroll(t)}]),t!==o&&n.push([o,"scroll",function(t){return e.onTableScroll(t)}]),this.topOverlay.needFullRender&&(n.push([this.topOverlay.clone.wtTable.holder,"scroll",function(t){return e.onTableScroll(t)}]),n.push([this.topOverlay.clone.wtTable.holder,"wheel",function(t){return e.onTableScroll(t)}])),this.bottomOverlay.needFullRender&&(n.push([this.bottomOverlay.clone.wtTable.holder,"scroll",function(t){return e.onTableScroll(t)}]),n.push([this.bottomOverlay.clone.wtTable.holder,"wheel",function(t){return e.onTableScroll(t)}])),this.leftOverlay.needFullRender&&(n.push([this.leftOverlay.clone.wtTable.holder,"scroll",function(t){return e.onTableScroll(t)}]),n.push([this.leftOverlay.clone.wtTable.holder,"wheel",function(t){return e.onTableScroll(t)}])),this.topLeftCornerOverlay&&this.topLeftCornerOverlay.needFullRender&&n.push([this.topLeftCornerOverlay.clone.wtTable.holder,"wheel",function(t){return e.onTableScroll(t)}]),this.bottomLeftCornerOverlay&&this.bottomLeftCornerOverlay.needFullRender&&n.push([this.bottomLeftCornerOverlay.clone.wtTable.holder,"wheel",function(t){return e.onTableScroll(t)}]),this.topOverlay.trimmingContainer!==window&&this.leftOverlay.trimmingContainer!==window&&n.push([window,"wheel",function(t){var o,n=t.wheelDeltaY||t.deltaY,r=t.wheelDeltaX||t.deltaX;e.topOverlay.clone.wtTable.holder.contains(t.realTarget)?o="top":e.bottomOverlay.clone&&e.bottomOverlay.clone.wtTable.holder.contains(t.realTarget)?o="bottom":e.leftOverlay.clone.wtTable.holder.contains(t.realTarget)?o="left":e.topLeftCornerOverlay&&e.topLeftCornerOverlay.clone&&e.topLeftCornerOverlay.clone.wtTable.holder.contains(t.realTarget)?o="topLeft":e.bottomLeftCornerOverlay&&e.bottomLeftCornerOverlay.clone&&e.bottomLeftCornerOverlay.clone.wtTable.holder.contains(t.realTarget)&&(o="bottomLeft"),("top"==o&&0!==n||"left"==o&&0!==r||"bottom"==o&&0!==n||("topLeft"===o||"bottomLeft"===o)&&(0!==n||0!==r))&&t.preventDefault()}]);n.length;){var r=n.pop();this.eventManager.addEventListener(r[0],r[1],r[2]),this.registeredListeners.push(r)}},deregisterListeners:function(){for(;this.registeredListeners.length;){var e=this.registeredListeners.pop();this.eventManager.removeEventListener(e[0],e[1],e[2])}},onTableScroll:function(e){if(!g()){var t=this.leftOverlay.mainTableScrollableElement,o=this.topOverlay.mainTableScrollableElement,n=e.target;this.keyPressed&&(o!==window&&n!==window&&!e.target.contains(o)||t!==window&&n!==window&&!e.target.contains(t))||("scroll"===e.type?this.syncScrollPositions(e):this.translateMouseWheelToScroll(e))}},onKeyDown:function(e){this.keyPressed=p(e.keyCode,"ARROW_UP|ARROW_RIGHT|ARROW_DOWN|ARROW_LEFT")},onKeyUp:function(){this.keyPressed=!1},translateMouseWheelToScroll:function(e){var t=this.topOverlay.clone.wtTable.holder,o=this.bottomOverlay.clone?this.bottomOverlay.clone.wtTable.holder:null,n=this.leftOverlay.clone.wtTable.holder,r=this.topLeftCornerOverlay&&this.topLeftCornerOverlay.clone?this.topLeftCornerOverlay.clone.wtTable.holder:null,i=this.bottomLeftCornerOverlay&&this.bottomLeftCornerOverlay.clone?this.bottomLeftCornerOverlay.clone.wtTable.holder:null,s=-.2,a=e.wheelDeltaY||-1*e.deltaY,l=e.wheelDeltaX||-1*e.deltaX,u=null,c={type:"wheel"},d=e.target,h=null;for(1===e.deltaMode&&(a*=120,l*=120);d!=document&&null!=d;){if(d.className.indexOf("wtHolder")>-1){u=d;break}d=d.parentNode}return c.target=u,u===r||u===i?(this.syncScrollPositions(c,s*l,"x"),this.syncScrollPositions(c,s*a,"y")):(u===t||u===o?h=a:u===n&&(h=l),this.syncScrollPositions(c,s*h)),!1},syncScrollPositions:function(e){var t=void 0!==arguments[1]?arguments[1]:null,o=void 0!==arguments[2]?arguments[2]:null;if(!this.destroyed){if(0===arguments.length)return void this.syncScrollWithMaster();var n,r,i,s,a,l=this.leftOverlay.mainTableScrollableElement,u=this.topOverlay.mainTableScrollableElement,c=e.target,f=0,p=!1,g=!1,m=this.wot.getSetting("preventOverflow");this.topOverlay.needFullRender&&(n=this.topOverlay.clone.wtTable.holder),this.bottomOverlay.needFullRender&&(a=this.bottomOverlay.clone.wtTable.holder),this.leftOverlay.needFullRender&&(r=this.leftOverlay.clone.wtTable.holder),this.leftOverlay.needFullRender&&this.topOverlay.needFullRender&&(i=this.topLeftCornerOverlay.clone.wtTable.holder),this.leftOverlay.needFullRender&&this.bottomOverlay.needFullRender&&(s=this.bottomLeftCornerOverlay.clone.wtTable.holder),c===document&&(c=window),c===l||c===u?(f=d(m?this.scrollableElement:c),this.horizontalScrolling=!0,this.overlayScrollPositions.master.left=f,p=!0,this.pendingScrollCallbacks.master.left>0?this.pendingScrollCallbacks.master.left--:(n&&n.scrollLeft!==f&&(null==t&&this.pendingScrollCallbacks.top.left++,n.scrollLeft=f,g=l!==window),a&&a.scrollLeft!==f&&(null==t&&this.pendingScrollCallbacks.bottom.left++,a.scrollLeft=f,g=l!==window)),f=h(c),this.verticalScrolling=!0,this.overlayScrollPositions.master.top=f,p=!0,this.pendingScrollCallbacks.master.top>0?this.pendingScrollCallbacks.master.top--:r&&r.scrollTop!==f&&(null==t&&this.pendingScrollCallbacks.left.top++,r.scrollTop=f,g=u!==window)):c===a?(f=d(c),this.horizontalScrolling=!0,this.overlayScrollPositions.bottom.left=f,p=!0,this.pendingScrollCallbacks.bottom.left>0?this.pendingScrollCallbacks.bottom.left--:(null==t&&this.pendingScrollCallbacks.master.left++,l.scrollLeft=f,n&&n.scrollLeft!==f&&(null==t&&this.pendingScrollCallbacks.top.left++,n.scrollLeft=f,g=u!==window)),null!==t&&(p=!0,u.scrollTop+=t)):c===n?(f=d(c),this.horizontalScrolling=!0,this.overlayScrollPositions.top.left=f,p=!0,this.pendingScrollCallbacks.top.left>0?this.pendingScrollCallbacks.top.left--:(null==t&&this.pendingScrollCallbacks.master.left++,l.scrollLeft=f),null!==t&&(p=!0,u.scrollTop+=t),a&&a.scrollLeft!==f&&(null==t&&this.pendingScrollCallbacks.bottom.left++,a.scrollLeft=f,g=u!==window)):c===r?(f=h(c),this.overlayScrollPositions.left.top!==f&&(this.verticalScrolling=!0,this.overlayScrollPositions.left.top=f,p=!0,this.pendingScrollCallbacks.left.top>0?this.pendingScrollCallbacks.left.top--:(null==t&&this.pendingScrollCallbacks.master.top++,u.scrollTop=f)),null!==t&&(p=!0,u.scrollLeft+=t)):c!==i&&c!==s||null!==t&&(p=!0,"x"===o?u.scrollLeft+=t:"y"===o&&(u.scrollTop+=t)),!this.keyPressed&&p&&"scroll"===e.type&&(this.delegatedScrollCallback?this.delegatedScrollCallback=!1:this.refreshAll(),g&&(this.delegatedScrollCallback=!0))}},syncScrollWithMaster:function(){var e=this.topOverlay.mainTableScrollableElement,t=e,o=t.scrollLeft,n=t.scrollTop;this.topOverlay.needFullRender&&(this.topOverlay.clone.wtTable.holder.scrollLeft=o),this.bottomOverlay.needFullRender&&(this.bottomOverlay.clone.wtTable.holder.scrollLeft=o),this.leftOverlay.needFullRender&&(this.leftOverlay.clone.wtTable.holder.scrollTop=n)},updateMainScrollableElements:function(){this.deregisterListeners(),this.leftOverlay.updateMainScrollableElement(),this.topOverlay.updateMainScrollableElement(),this.bottomOverlay.needFullRender&&this.bottomOverlay.updateMainScrollableElement(),this.scrollableElement=u(this.wot.wtTable.TABLE),this.registerListeners()},destroy:function(){this.eventManager.destroy(),this.topOverlay.destroy(),this.bottomOverlay.clone&&this.bottomOverlay.destroy(),this.leftOverlay.destroy(),this.topLeftCornerOverlay&&this.topLeftCornerOverlay.destroy(),this.bottomLeftCornerOverlay&&this.bottomLeftCornerOverlay.clone&&this.bottomLeftCornerOverlay.destroy(),this.debug&&this.debug.destroy(),this.destroyed=!0},refresh:function(){var e=void 0!==arguments[0]&&arguments[0];if(this.topOverlay.areElementSizesAdjusted&&this.leftOverlay.areElementSizesAdjusted){var t=this.wot.wtTable.wtRootElement.parentNode||this.wot.wtTable.wtRootElement,o=t.clientWidth,n=t.clientHeight;o===this.spreaderLastSize.width&&n===this.spreaderLastSize.height||(this.spreaderLastSize.width=o,this.spreaderLastSize.height=n,this.adjustElementsSize())}this.bottomOverlay.clone&&this.bottomOverlay.refresh(e),this.leftOverlay.refresh(e),this.topOverlay.refresh(e),this.topLeftCornerOverlay&&this.topLeftCornerOverlay.refresh(e),this.bottomLeftCornerOverlay&&this.bottomLeftCornerOverlay.clone&&this.bottomLeftCornerOverlay.refresh(e),this.debug&&this.debug.refresh(e)},adjustElementsSize:function(){var e=void 0!==arguments[0]&&arguments[0],t=this.wot.getSetting("totalColumns"),o=this.wot.getSetting("totalRows"),n=this.wot.wtViewport.getRowHeaderWidth(),r=this.wot.wtViewport.getColumnHeaderHeight(),i=this.wot.wtTable.hider.style;i.width=n+this.leftOverlay.sumCellSizes(0,t)+"px",i.height=r+this.topOverlay.sumCellSizes(0,o)+1+"px",this.topOverlay.adjustElementsSize(e),this.leftOverlay.adjustElementsSize(e),this.bottomOverlay.clone&&this.bottomOverlay.adjustElementsSize(e)},applyToDOM:function(){this.topOverlay.areElementSizesAdjusted&&this.leftOverlay.areElementSizesAdjusted||this.adjustElementsSize(),this.topOverlay.applyToDOM(),this.bottomOverlay.clone&&this.bottomOverlay.applyToDOM(),this.leftOverlay.applyToDOM()},getParentOverlay:function(e){if(!e)return null;var t=[this.topOverlay,this.leftOverlay,this.bottomOverlay,this.topLeftCornerOverlay,this.bottomLeftCornerOverlay],o=null;return f(t,function(t,n){t&&t.clone&&t.clone.wtTable.TABLE.contains(e)&&(o=t.clone)}),o}},{}),window.WalkontableOverlays=w},{eventManager:42,"helpers/array":43,"helpers/browser":44,"helpers/dom/element":47,"helpers/unicode":56}],18:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableScroll:{get:function(){return p}},__esModule:{value:!0}});var n,r,i=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}),s=i.innerHeight,a=i.innerWidth,l=i.getScrollLeft,u=i.getScrollTop,c=i.offset,d=(r=e("helpers/number"),r&&r.__esModule&&r||{default:r}),h=d.rangeEach,f=d.rangeEachReverse,p=function(e){this.wot=e,this.instance=e};$traceurRuntime.createClass(p,{scrollViewport:function(e){if(this.wot.drawn){var t=this._getVariables(),o=t.topOverlay,n=t.leftOverlay,r=t.totalRows,i=t.totalColumns,s=t.fixedRowsTop,a=t.fixedRowsBottom,l=t.fixedColumnsLeft;if(e.row<0||e.row>Math.max(r-1,0))throw new Error("row "+e.row+" does not exist");if(e.col<0||e.col>Math.max(i-1,0))throw new Error("column "+e.col+" does not exist");e.row>=s&&e.rowthis.getLastVisibleRow()&&e.row=l&&e.colthis.getLastVisibleColumn()&&n.scrollTo(e.col,!0)}},getFirstVisibleRow:function(){var e=this._getVariables(),t=e.topOverlay,o=e.wtTable,n=e.wtViewport,r=e.totalRows,i=e.fixedRowsTop,a=o.getFirstVisibleRow();if(t.mainTableScrollableElement===window){var l=c(o.wtRootElement),d=s(o.hider),h=s(window),p=u(window);if(l.top+d-h<=p){var g=n.getColumnHeaderHeight();g+=t.sumCellSizes(0,i),f(r,1,function(e){if(g+=t.sumCellSizes(e-1,e),l.top+d-g<=p)return a=e,!1})}}return a},getLastVisibleRow:function(){var e=this._getVariables(),t=e.topOverlay,o=e.wtTable,n=e.wtViewport,r=e.totalRows,i=o.getLastVisibleRow();if(t.mainTableScrollableElement===window){var a=c(o.wtRootElement),l=s(window),d=u(window);if(a.top>d){var f=n.getColumnHeaderHeight();h(1,r,function(e){if(f+=t.sumCellSizes(e-1,e),a.top+f-d>=l)return i=e-2,!1})}}return i},getFirstVisibleColumn:function(){var e=this._getVariables(),t=e.leftOverlay,o=e.wtTable,n=e.wtViewport,r=e.totalColumns,i=(e.fixedColumnsLeft,o.getFirstVisibleColumn());if(t.mainTableScrollableElement===window){var s=c(o.wtRootElement),u=a(o.hider),d=a(window),h=l(window);if(s.left+u-d<=h){var p=n.getRowHeaderWidth();f(r,1,function(e){if(p+=t.sumCellSizes(e-1,e),s.left+u-p<=h)return i=e,!1})}}return i},getLastVisibleColumn:function(){var e=this._getVariables(),t=e.leftOverlay,o=e.wtTable,n=e.wtViewport,r=e.totalColumns,i=o.getLastVisibleColumn();if(t.mainTableScrollableElement===window){var s=c(o.wtRootElement),u=a(window),d=l(window);if(s.left>d){var f=n.getRowHeaderWidth();h(1,r,function(e){if(f+=t.sumCellSizes(e-1,e),s.left+f-d>=u)return i=e-2,!1})}}return i},_getVariables:function(){var e=this.wot,t=e.wtOverlays.topOverlay,o=e.wtOverlays.leftOverlay,n=e.wtTable,r=e.wtViewport,i=e.getSetting("totalRows"),s=e.getSetting("totalColumns"),a=e.getSetting("fixedRowsTop"),l=e.getSetting("fixedRowsBottom"),u=e.getSetting("fixedColumnsLeft");return{topOverlay:t,leftOverlay:o,wtTable:n,wtViewport:r,totalRows:i,totalColumns:s,fixedRowsTop:a,fixedRowsBottom:l,fixedColumnsLeft:u}}},{}),window.WalkontableScroll=p},{"helpers/dom/element":47,"helpers/number":52}],19:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableSelection:{get:function(){return d}},__esModule:{value:!0}});var n,r,i,s,a=(n=e("helpers/dom/element"), n&&n.__esModule&&n||{default:n}).addClass,l=(r=e("border"),r&&r.__esModule&&r||{default:r}).WalkontableBorder,u=(i=e("cell/coords"),i&&i.__esModule&&i||{default:i}).WalkontableCellCoords,c=(s=e("cell/range"),s&&s.__esModule&&s||{default:s}).WalkontableCellRange,d=function(e,t){this.settings=e,this.cellRange=t||null,this.instanceBorders={}};$traceurRuntime.createClass(d,{getBorder:function(e){return this.instanceBorders[e.guid]?this.instanceBorders[e.guid]:void(this.instanceBorders[e.guid]=new l(e,this.settings))},isEmpty:function(){return null===this.cellRange},add:function(e){this.isEmpty()?this.cellRange=new c(e,e,e):this.cellRange.expand(e)},replace:function(e,t){if(!this.isEmpty()){if(this.cellRange.from.isEqual(e))return this.cellRange.from=t,!0;if(this.cellRange.to.isEqual(e))return this.cellRange.to=t,!0}return!1},clear:function(){this.cellRange=null},getCorners:function(){var e=this.cellRange.getTopLeftCorner(),t=this.cellRange.getBottomRightCorner();return[e.row,e.col,t.row,t.col]},addClassAtCoords:function(e,t,o,n){var r=e.wtTable.getCell(new u(t,o));"object"==typeof r&&a(r,n)},draw:function(e){if(this.isEmpty()){if(this.settings.border){var t=this.getBorder(e);t&&t.disappear()}}else{for(var o,n,r,i=e.wtTable.getRenderedRowsCount(),s=e.wtTable.getRenderedColumnsCount(),l=this.getCorners(),u=0;u=l[1]&&n<=l[3]&&(r=e.wtTable.getColumnHeader(n))){var c=[];this.settings.highlightHeaderClassName&&c.push(this.settings.highlightHeaderClassName),this.settings.highlightColumnClassName&&c.push(this.settings.highlightColumnClassName),a(r,c)}for(var d=0;d=l[0]&&o<=l[2]&&(r=e.wtTable.getRowHeader(o))){var h=[];this.settings.highlightHeaderClassName&&h.push(this.settings.highlightHeaderClassName),this.settings.highlightRowClassName&&h.push(this.settings.highlightRowClassName),a(r,h)}for(var f=0;f=l[0]&&o<=l[2]&&n>=l[1]&&n<=l[3]?this.settings.className&&this.addClassAtCoords(e,o,n,this.settings.className):o>=l[0]&&o<=l[2]?this.settings.highlightRowClassName&&this.addClassAtCoords(e,o,n,this.settings.highlightRowClassName):n>=l[1]&&n<=l[3]&&this.settings.highlightColumnClassName&&this.addClassAtCoords(e,o,n,this.settings.highlightColumnClassName)}if(e.getSetting("onBeforeDrawBorders",l,this.settings.className),this.settings.border){var p=this.getBorder(e);p&&p.appear(l)}}}},{}),window.WalkontableSelection=d},{border:3,"cell/coords":6,"cell/range":7,"helpers/dom/element":47}],20:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableSettings:{get:function(){return i}},__esModule:{value:!0}});var n,r=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}).fastInnerText,i=function(e,t){var o=this;this.wot=e,this.instance=e,this.defaults={table:void 0,debug:!1,externalRowCalculator:!1,stretchH:"none",currentRowClassName:null,currentColumnClassName:null,preventOverflow:function(){return!1},data:void 0,fixedColumnsLeft:0,fixedRowsTop:0,fixedRowsBottom:0,minSpareRows:0,rowHeaders:function(){return[]},columnHeaders:function(){return[]},totalRows:void 0,totalColumns:void 0,cellRenderer:function(e,t,n){var i=o.getSetting("data",e,t);r(n,void 0===i||null===i?"":i)},columnWidth:function(e){},rowHeight:function(e){},defaultRowHeight:23,defaultColumnWidth:50,selections:null,hideBorderOnMouseDownOver:!1,viewportRowCalculatorOverride:null,viewportColumnCalculatorOverride:null,onCellMouseDown:null,onCellMouseOver:null,onCellMouseUp:null,onCellDblClick:null,onCellCornerMouseDown:null,onCellCornerDblClick:null,beforeDraw:null,onDraw:null,onBeforeDrawBorders:null,onScrollVertically:null,onScrollHorizontally:null,onBeforeTouchScroll:null,onAfterMomentumScroll:null,onBeforeStretchingColumnWidth:function(e){return e},onModifyRowHeaderWidth:null,scrollbarWidth:10,scrollbarHeight:10,renderAllRows:!1,groups:!1,rowHeaderWidth:null,columnHeaderHeight:null,headerClassName:null},this.settings={};for(var n in this.defaults)if(this.defaults.hasOwnProperty(n))if(void 0!==t[n])this.settings[n]=t[n];else{if(void 0===this.defaults[n])throw new Error('A required setting "'+n+'" was not provided');this.settings[n]=this.defaults[n]}};$traceurRuntime.createClass(i,{update:function(e,t){if(void 0===t)for(var o in e)e.hasOwnProperty(o)&&(this.settings[o]=e[o]);else this.settings[e]=t;return this.wot},getSetting:function(e,t,o,n,r){return"function"==typeof this.settings[e]?this.settings[e](t,o,n,r):void 0!==t&&Array.isArray(this.settings[e])?this.settings[e][t]:this.settings[e]},has:function(e){return!!this.settings[e]}},{}),window.WalkontableSettings=i},{"helpers/dom/element":47}],21:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableTable:{get:function(){return S}},__esModule:{value:!0}});var n,r,i,s,a,l,u,c=(n=e("helpers/dom/element"),n&&n.__esModule&&n||{default:n}),d=c.getStyle,h=c.getTrimmingContainer,f=c.hasClass,p=c.index,g=c.offset,m=c.removeClass,w=c.removeTextNodes,v=c.overlayContainsElement,y=c.closest,b=(r=e("helpers/function"),r&&r.__esModule&&r||{default:r}).isFunction,C=(i=e("cell/coords"),i&&i.__esModule&&i||{default:i}).WalkontableCellCoords,_=((s=e("cell/range"),s&&s.__esModule&&s||{default:s}).WalkontableCellRange,(a=e("filter/column"),a&&a.__esModule&&a||{default:a}).WalkontableColumnFilter),R=(l=e("filter/row"),l&&l.__esModule&&l||{default:l}).WalkontableRowFilter,M=(u=e("tableRenderer"),u&&u.__esModule&&u||{default:u}).WalkontableTableRenderer,S=function(e,t){var o=this;this.wot=e,this.instance=this.wot,this.TABLE=t,this.TBODY=null,this.THEAD=null,this.COLGROUP=null,this.tableOffset=0,this.holderOffset=0,w(this.TABLE),this.spreader=this.createSpreader(this.TABLE),this.hider=this.createHider(this.spreader),this.holder=this.createHolder(this.hider),this.wtRootElement=this.holder.parentNode,this.alignOverlaysWithTrimmingContainer(),this.fixTableDomTree(),this.colgroupChildrenLength=this.COLGROUP.childNodes.length,this.theadChildrenLength=this.THEAD.firstChild?this.THEAD.firstChild.childNodes.length:0,this.tbodyChildrenLength=this.TBODY.childNodes.length,this.rowFilter=null,this.columnFilter=null,this.correctHeaderWidth=!1;var n=this.wot.wtSettings.settings.rowHeaderWidth;this.wot.wtSettings.settings.rowHeaderWidth=function(){return o._modifyRowHeaderWidth(n)}};$traceurRuntime.createClass(S,{fixTableDomTree:function(){this.TBODY=this.TABLE.querySelector("tbody"),this.TBODY||(this.TBODY=document.createElement("tbody"),this.TABLE.appendChild(this.TBODY)),this.THEAD=this.TABLE.querySelector("thead"),this.THEAD||(this.THEAD=document.createElement("thead"),this.TABLE.insertBefore(this.THEAD,this.TBODY)),this.COLGROUP=this.TABLE.querySelector("colgroup"),this.COLGROUP||(this.COLGROUP=document.createElement("colgroup"),this.TABLE.insertBefore(this.COLGROUP,this.THEAD)),this.wot.getSetting("columnHeaders").length&&!this.THEAD.childNodes.length&&this.THEAD.appendChild(document.createElement("TR"))},createSpreader:function(e){var t,o=e.parentNode;return o&&1===o.nodeType&&f(o,"wtHolder")||(t=document.createElement("div"),t.className="wtSpreader",o&&o.insertBefore(t,e),t.appendChild(e)),t.style.position="relative",t},createHider:function(e){var t,o=e.parentNode;return o&&1===o.nodeType&&f(o,"wtHolder")||(t=document.createElement("div"),t.className="wtHider",o&&o.insertBefore(t,e),t.appendChild(e)),t},createHolder:function(e){var t,o=e.parentNode;return o&&1===o.nodeType&&f(o,"wtHolder")||(t=document.createElement("div"),t.style.position="relative",t.className="wtHolder",o&&o.insertBefore(t,e),this.isWorkingOnClone()||(t.parentNode.className+="ht_master handsontable"),t.appendChild(e)),t},alignOverlaysWithTrimmingContainer:function(){var e=h(this.wtRootElement);if(!this.isWorkingOnClone())if(this.holder.parentNode.style.position="relative",e===window){var t=this.wot.getSetting("preventOverflow");t||(this.holder.style.overflow="visible",this.wtRootElement.style.overflow="visible")}else this.holder.style.width=d(e,"width"),this.holder.style.height=d(e,"height"),this.holder.style.overflow=""},isWorkingOnClone:function(){return!!this.wot.cloneSource},draw:function(e){var t=this.wot,o=t.wtOverlays,n=t.wtViewport,r=this.instance.getSetting("totalRows"),i=this.wot.getSetting("rowHeaders").length,s=this.wot.getSetting("columnHeaders").length,a=!1;if(!this.isWorkingOnClone()&&(this.holderOffset=g(this.holder),e=n.createRenderCalculators(e),i&&!this.wot.getSetting("fixedColumnsLeft"))){var l=o.leftOverlay.getScrollPosition(),u=this.correctHeaderWidth;this.correctHeaderWidth=l>0,u!==this.correctHeaderWidth&&(e=!1)}if(this.isWorkingOnClone()||(a=o.prepareOverlays()),e)this.isWorkingOnClone()||n.createVisibleCalculators(),o&&o.refresh(!0);else{this.isWorkingOnClone()?this.tableOffset=this.wot.cloneSource.wtTable.tableOffset:this.tableOffset=g(this.TABLE);var c;c=WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_DEBUG)||WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_TOP)||WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_TOP_LEFT_CORNER)?0:WalkontableOverlay.isOverlayTypeOf(this.instance.cloneOverlay,WalkontableOverlay.CLONE_BOTTOM)||WalkontableOverlay.isOverlayTypeOf(this.instance.cloneOverlay,WalkontableOverlay.CLONE_BOTTOM_LEFT_CORNER)?Math.max(r-this.wot.getSetting("fixedRowsBottom"),0):n.rowsRenderCalculator.startRow;var d;d=WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_DEBUG)||WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_LEFT)||WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_TOP_LEFT_CORNER)||WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_BOTTOM_LEFT_CORNER)?0:n.columnsRenderCalculator.startColumn,this.rowFilter=new R(c,r,s),this.columnFilter=new _(d,this.wot.getSetting("totalColumns"),i),this.alignOverlaysWithTrimmingContainer(),this._doDraw()}return this.refreshSelections(e),this.isWorkingOnClone()||(o.topOverlay.resetFixedPosition(),o.bottomOverlay.clone&&o.bottomOverlay.resetFixedPosition(),o.leftOverlay.resetFixedPosition(),o.topLeftCornerOverlay&&o.topLeftCornerOverlay.resetFixedPosition(),o.bottomLeftCornerOverlay&&o.bottomLeftCornerOverlay.clone&&o.bottomLeftCornerOverlay.resetFixedPosition()),a&&o.syncScrollWithMaster(),this.wot.drawn=!0,this},_doDraw:function(){var e=new M(this);e.render()},removeClassFromCells:function(e){for(var t=this.TABLE.querySelectorAll("."+e),o=0,n=t.length;o=0},isRowAfterViewport:function(e){return this.rowFilter&&this.rowFilter.sourceToRendered(e)>this.getLastVisibleRow()},isRowAfterRenderedRows:function(e){return this.rowFilter&&this.rowFilter.sourceToRendered(e)>this.getLastRenderedRow()},isColumnBeforeViewport:function(e){return this.columnFilter&&this.columnFilter.sourceToRendered(e)<0&&e>=0},isColumnAfterViewport:function(e){return this.columnFilter&&this.columnFilter.sourceToRendered(e)>this.getLastVisibleColumn()},isLastRowFullyVisible:function(){return this.getLastVisibleRow()===this.getLastRenderedRow()},isLastColumnFullyVisible:function(){return this.getLastVisibleColumn()===this.getLastRenderedColumn()},getRenderedColumnsCount:function(){var e=this.wot.wtViewport.columnsRenderCalculator.count,t=this.wot.getSetting("totalColumns");if(this.wot.isOverlayName(WalkontableOverlay.CLONE_DEBUG))e=t;else if(this.wot.isOverlayName(WalkontableOverlay.CLONE_LEFT)||this.wot.isOverlayName(WalkontableOverlay.CLONE_TOP_LEFT_CORNER)||this.wot.isOverlayName(WalkontableOverlay.CLONE_BOTTOM_LEFT_CORNER))return Math.min(this.wot.getSetting("fixedColumnsLeft"),t);return e},getRenderedRowsCount:function(){var e=this.wot.wtViewport.rowsRenderCalculator.count,t=this.wot.getSetting("totalRows");return this.wot.isOverlayName(WalkontableOverlay.CLONE_DEBUG)?e=t:this.wot.isOverlayName(WalkontableOverlay.CLONE_TOP)||this.wot.isOverlayName(WalkontableOverlay.CLONE_TOP_LEFT_CORNER)?e=Math.min(this.wot.getSetting("fixedRowsTop"),t):(this.wot.isOverlayName(WalkontableOverlay.CLONE_BOTTOM)||this.wot.isOverlayName(WalkontableOverlay.CLONE_BOTTOM_LEFT_CORNER))&&(e=Math.min(this.wot.getSetting("fixedRowsBottom"),t)),e},getVisibleRowsCount:function(){return this.wot.wtViewport.rowsVisibleCalculator.count},allRowsInViewport:function(){return this.wot.getSetting("totalRows")==this.getVisibleRowsCount()},getRowHeight:function(e){var t=this.wot.wtSettings.settings.rowHeight(e),o=this.wot.wtViewport.oversizedRows[e];return void 0!==o&&(t=void 0===t?o:Math.max(t,o)),t},getColumnHeaderHeight:function(e){var t=this.wot.wtSettings.settings.defaultRowHeight,o=this.wot.wtViewport.oversizedColumnHeaders[e];return void 0!==o&&(t=t?Math.max(t,o):o),t},getVisibleColumnsCount:function(){return this.wot.wtViewport.columnsVisibleCalculator.count},allColumnsInViewport:function(){return this.wot.getSetting("totalColumns")==this.getVisibleColumnsCount()},getColumnWidth:function(e){var t=this.wot.wtSettings.settings.columnWidth;return"function"==typeof t?t=t(e):"object"==typeof t&&(t=t[e]),t||this.wot.wtSettings.settings.defaultColumnWidth},getStretchedColumnWidth:function(e){var t=this.getColumnWidth(e),o=null==t?this.instance.wtSettings.settings.defaultColumnWidth:t,n=this.wot.wtViewport.columnsRenderCalculator;if(n){var r=n.getStretchedColumnWidth(e,o);r&&(o=r)}return o},_modifyRowHeaderWidth:function(e){var t=b(e)?e():null;return Array.isArray(t)?(t=$traceurRuntime.spread(t),t[t.length-1]=this._correctRowHeaderWidth(t[t.length-1])):t=this._correctRowHeaderWidth(t),t},_correctRowHeaderWidth:function(e){return"number"!=typeof e&&(e=this.wot.getSetting("defaultColumnWidth")),this.correctHeaderWidth&&e++,e}},{}),window.WalkontableTable=S},{"cell/coords":6,"cell/range":7,"filter/column":10,"filter/row":11,"helpers/dom/element":47,"helpers/function":50,tableRenderer:22}],22:[function(e,t,o){"use strict";function n(e,t){var o=document.createElement("TH");return t.insertBefore(o,e),t.removeChild(e),o}function r(e,t){var o=document.createElement("TD");return t.insertBefore(o,e),t.removeChild(e),o}Object.defineProperties(o,{WalkontableTableRenderer:{get:function(){return p}},__esModule:{value:!0}});var i,s=(i=e("helpers/dom/element"),i&&i.__esModule&&i||{default:i}),a=s.addClass,l=s.empty,u=s.getScrollbarWidth,c=s.hasClass,d=s.innerHeight,h=s.outerWidth,f=!1,p=function(e){this.wtTable=e,this.wot=e.instance,this.instance=e.instance,this.rowFilter=e.rowFilter,this.columnFilter=e.columnFilter,this.TABLE=e.TABLE,this.THEAD=e.THEAD,this.TBODY=e.TBODY,this.COLGROUP=e.COLGROUP,this.rowHeaders=[],this.rowHeaderCount=0,this.columnHeaders=[],this.columnHeaderCount=0,this.fixedRowsTop=0,this.fixedRowsBottom=0};$traceurRuntime.createClass(p,{render:function(){if(!this.wtTable.isWorkingOnClone()){var e={};if(this.wot.getSetting("beforeDraw",!0,e),e.skipRender===!0)return}this.rowHeaders=this.wot.getSetting("rowHeaders"),this.rowHeaderCount=this.rowHeaders.length,this.fixedRowsTop=this.wot.getSetting("fixedRowsTop"),this.fixedRowsBottom=this.wot.getSetting("fixedRowsBottom"),this.columnHeaders=this.wot.getSetting("columnHeaders"),this.columnHeaderCount=this.columnHeaders.length;var t,o=this.wtTable.getRenderedColumnsCount(),n=this.wtTable.getRenderedRowsCount(),r=this.wot.getSetting("totalColumns"),i=this.wot.getSetting("totalRows"),s=!1;if((WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_BOTTOM)||WalkontableOverlay.isOverlayTypeOf(this.wot.cloneOverlay,WalkontableOverlay.CLONE_BOTTOM_LEFT_CORNER))&&(this.columnHeaders=[],this.columnHeaderCount=0),r>=0&&(this.adjustAvailableNodes(),s=!0,this.renderColumnHeaders(),this.renderRows(i,n,o),this.wtTable.isWorkingOnClone()||(t=this.wot.wtViewport.getWorkspaceWidth(),this.wot.wtViewport.containerWidth=null),this.adjustColumnWidths(o),this.markOversizedColumnHeaders(),this.adjustColumnHeaderHeights()),s||this.adjustAvailableNodes(),this.removeRedundantRows(n),this.wtTable.isWorkingOnClone()&&!this.wot.isOverlayName(WalkontableOverlay.CLONE_BOTTOM)||this.markOversizedRows(),this.wtTable.isWorkingOnClone())this.wot.isOverlayName(WalkontableOverlay.CLONE_BOTTOM)&&this.wot.cloneSource.wtOverlays.adjustElementsSize();else{this.wot.wtViewport.createVisibleCalculators(),this.wot.wtOverlays.refresh(!1),this.wot.wtOverlays.applyToDOM();var a=h(this.wtTable.hider),l=h(this.wtTable.TABLE);if(0!==a&&l!==a&&this.adjustColumnWidths(o),t!==this.wot.wtViewport.getWorkspaceWidth()){this.wot.wtViewport.containerWidth=null;var u=this.wtTable.getFirstRenderedColumn(),c=this.wtTable.getLastRenderedColumn(),d=this.wot.getSetting("defaultColumnWidth"),f=this.wot.getSetting("rowHeaderWidth");if(f=this.instance.getSetting("onModifyRowHeaderWidth",f),null!=f)for(var p=0;pe;)this.TBODY.removeChild(this.TBODY.lastChild),this.wtTable.tbodyChildrenLength--},renderRows:function(e,t,o){for(var n,r,i=0,s=this.rowFilter.renderedToSource(i),a=this.wtTable.isWorkingOnClone();s=0&&(!f&&i>1e3&&(f=!0,console.warn('Performance tip: Handsontable rendered more than 1000 visible rows. Consider limiting the number of rendered rows by specifying the table height and/or turning off the "renderAllRows" option.')),void 0===t||i!==t);){if(r=this.getOrCreateTrForRow(i,r),this.renderRowHeaders(s,r),this.adjustColumns(r,o+this.rowHeaderCount),n=this.renderCells(s,r,o),a&&!this.wot.isOverlayName(WalkontableOverlay.CLONE_BOTTOM)||this.resetOversizedRow(s),r.firstChild){var l=this.wot.wtTable.getRowHeight(s);l?(l--,r.firstChild.style.height=l+"px"):r.firstChild.style.height=""}i++,s=this.rowFilter.renderedToSource(i)}},resetOversizedRow:function(e){this.wot.getSetting("externalRowCalculator")||this.wot.wtViewport.oversizedRows&&this.wot.wtViewport.oversizedRows[e]&&(this.wot.wtViewport.oversizedRows[e]=void 0)},markOversizedRows:function(){if(!this.wot.getSetting("externalRowCalculator")){var e,t,o,n,r,i=this.instance.wtTable.TBODY.childNodes.length,s=i*this.instance.wtSettings.settings.defaultRowHeight,a=d(this.instance.wtTable.TBODY)-1;this.instance.getSetting("totalRows");if(s!==a||this.instance.getSetting("fixedRowsBottom"))for(;i;)i--,o=this.instance.wtTable.rowFilter.renderedToSource(i),e=this.instance.wtTable.getRowHeight(o),n=this.instance.wtTable.getTrForRow(o),r=n.querySelector("th"),t=r?d(r):d(n)-1,(!e&&this.instance.wtSettings.settings.defaultRowHeight=this.wtTable.tbodyChildrenLength?(o=this.createRow(),this.appendToTbody(o)):o=0===e?this.TBODY.firstChild:t.nextSibling,o.className&&o.removeAttribute("class"),o},createRow:function(){for(var e=document.createElement("TR"),t=0;te+this.rowHeaderCount;)this.COLGROUP.removeChild(this.COLGROUP.lastChild),this.wtTable.colgroupChildrenLength--;this.rowHeaderCount&&a(this.COLGROUP.childNodes[0],"rowHeader")},adjustThead:function(){var e=this.wtTable.getRenderedColumnsCount(),t=this.THEAD.firstChild;if(this.columnHeaders.length){for(var o=0,n=this.columnHeaders.length;oe+this.rowHeaderCount;)t.removeChild(t.lastChild),this.theadChildrenLength--}var r=this.THEAD.childNodes.length;if(r>this.columnHeaders.length)for(var i=this.columnHeaders.length;it;)e.removeChild(e.lastChild),o--},removeRedundantColumns:function(e){for(;this.wtTable.tbodyChildrenLength>e;)this.TBODY.removeChild(this.TBODY.lastChild),this.wtTable.tbodyChildrenLength--}},{}),window.WalkontableTableRenderer=p},{"helpers/dom/element":47}],23:[function(e,t,o){"use strict";Object.defineProperties(o,{WalkontableViewport:{get:function(){return v}},__esModule:{value:!0}});var n,r,i,s,a,l=(n=e("browser"),n&&n.__esModule&&n||{default:n}).default,u=(r=e("helpers/dom/element"),r&&r.__esModule&&r||{default:r}),c=u.getScrollbarWidth,d=(u.getScrollTop,u.getStyle),h=u.offset,f=u.outerHeight,p=u.outerWidth,g=(i=e("eventManager"),i&&i.__esModule&&i||{default:i}).EventManager,m=(s=e("calculator/viewportColumns"),s&&s.__esModule&&s||{default:s}).WalkontableViewportColumnsCalculator,w=(a=e("calculator/viewportRows"),a&&a.__esModule&&a||{default:a}).WalkontableViewportRowsCalculator,v=function(e){var t=this;this.wot=e,this.instance=this.wot,this.oversizedRows=[],this.oversizedColumnHeaders=[],this.hasOversizedColumnHeadersMarked={},this.clientHeight=0,this.containerWidth=NaN,this.rowHeaderWidth=NaN,this.rowsVisibleCalculator=null,this.columnsVisibleCalculator=null,this.eventManager=new g(this.wot),this.eventManager.addEventListener(window,"resize",function(){t.clientHeight=t.getWorkspaceHeight()})};$traceurRuntime.createClass(v,{getWorkspaceHeight:function(){var e,t=this.instance.wtOverlays.topOverlay.trimmingContainer,o=0;return t===window?o=document.documentElement.clientHeight:(e=f(t),o=e>0&&t.clientHeight>0?t.clientHeight:1/0),o},getWorkspaceWidth:function(){var e,t,o=this.wot.getSetting("totalColumns"),n=this.instance.wtOverlays.leftOverlay.trimmingContainer,r=this.wot.getSetting("stretchH"),i=document.documentElement.offsetWidth,s=this.wot.getSetting("preventOverflow");return s?p(this.instance.wtTable.wtRootElement):(e=l.freezeOverlays?Math.min(i-this.getWorkspaceOffset().left,i):Math.min(this.getContainerFillWidth(),i-this.getWorkspaceOffset().left,i),n===window&&o>0&&this.sumColumnWidths(0,o-1)>e?document.documentElement.clientWidth:n!==window&&(t=d(this.instance.wtOverlays.leftOverlay.trimmingContainer,"overflow"),"scroll"==t||"hidden"==t||"auto"==t)?Math.max(e,n.clientWidth):"none"!==r&&r?e:Math.max(e,p(this.instance.wtTable.TABLE)))},hasVerticalScroll:function(){return this.getWorkspaceActualHeight()>this.getWorkspaceHeight()},hasHorizontalScroll:function(){return this.getWorkspaceActualWidth()>this.getWorkspaceWidth()},sumColumnWidths:function(e,t){for(var o=0;e0&&(t-=e),t)},getRowHeaderWidth:function(){var e=this.instance.getSetting("rowHeaderWidth"),t=this.instance.getSetting("rowHeaders");if(e){this.rowHeaderWidth=0;for(var o=0,n=t.length;o0?t-e:t)},createRowsCalculator:function(){var e,t,o,n,r,i,s,a=void 0!==arguments[0]&&arguments[0],l=this;return this.rowHeaderWidth=NaN,e=this.wot.wtSettings.settings.renderAllRows?1/0:this.getViewportHeight(),t=this.wot.wtOverlays.topOverlay.getScrollPosition()-this.wot.wtOverlays.topOverlay.getTableParentOffset(),t<0&&(t=0),o=this.wot.getSetting("fixedRowsTop"),r=this.wot.getSetting("fixedRowsBottom"),s=this.wot.getSetting("totalRows"),o&&(i=this.wot.wtOverlays.topOverlay.sumCellSizes(0,o),t+=i,e-=i),r&&this.wot.wtOverlays.bottomOverlay.clone&&(i=this.wot.wtOverlays.bottomOverlay.sumCellSizes(s-r,s),e-=i),n=this.wot.wtTable.holder.clientHeight===this.wot.wtTable.holder.offsetHeight?0:c(),new w(e,t,this.wot.getSetting("totalRows"),function(e){return l.wot.wtTable.getRowHeight(e)},a?null:this.wot.wtSettings.settings.viewportRowCalculatorOverride,a,n)},createColumnsCalculator:function(){var e,t,o=void 0!==arguments[0]&&arguments[0],n=this,r=this.getViewportWidth();if(this.columnHeaderHeight=NaN,e=this.wot.wtOverlays.leftOverlay.getScrollPosition()-this.wot.wtOverlays.leftOverlay.getTableParentOffset(), e<0&&(e=0),t=this.wot.getSetting("fixedColumnsLeft")){var i=this.wot.wtOverlays.leftOverlay.sumCellSizes(0,t);e+=i,r-=i}return this.wot.wtTable.holder.clientWidth!==this.wot.wtTable.holder.offsetWidth&&(r-=c()),new m(r,e,this.wot.getSetting("totalColumns"),function(e){return n.wot.wtTable.getColumnWidth(e)},o?null:this.wot.wtSettings.settings.viewportColumnCalculatorOverride,o,this.wot.getSetting("stretchH"),function(e,t){return n.wot.getSetting("onBeforeStretchingColumnWidth",e,t)})},createRenderCalculators:function(){var e=void 0!==arguments[0]&&arguments[0];if(e){var t=this.createRowsCalculator(!0),o=this.createColumnsCalculator(!0);this.areAllProposedVisibleRowsAlreadyRendered(t)&&this.areAllProposedVisibleColumnsAlreadyRendered(o)||(e=!1)}return e||(this.rowsRenderCalculator=this.createRowsCalculator(),this.columnsRenderCalculator=this.createColumnsCalculator()),this.rowsVisibleCalculator=null,this.columnsVisibleCalculator=null,e},createVisibleCalculators:function(){this.rowsVisibleCalculator=this.createRowsCalculator(!0),this.columnsVisibleCalculator=this.createColumnsCalculator(!0)},areAllProposedVisibleRowsAlreadyRendered:function(e){return!!this.rowsVisibleCalculator&&(!(e.startRow0)&&!(e.endRow>this.rowsRenderCalculator.endRow||e.endRow===this.rowsRenderCalculator.endRow&&e.endRow0)&&!(e.endColumn>this.columnsRenderCalculator.endColumn||e.endColumn===this.columnsRenderCalculator.endColumn&&e.endColumn=0;s--)if(null===e[s])e.splice(s,1);else{var a=e[s][0],l=u.propToCol(e[s][1]),c=p.getCellMeta(a,l);if("numeric"===c.type&&"string"==typeof e[s][3]&&e[s][3].length>0&&(/^-?[\d\s]*(\.|\,)?\d*$/.test(e[s][3])||c.format)){var d=e[s][3].length;I(c.language)?O.culture("en-US"):e[s][3].indexOf(".")===d-3&&e[s][3].indexOf(",")===-1?O.culture("en-US"):O.culture(c.language);O.cultureData(O.culture()).delimiters;O.validate(e[s][3])&&!isNaN(e[s][3])?e[s][3]=parseFloat(e[s][3]):e[s][3]=O().unformat(e[s][3])||e[s][3]}p.getCellValidator(c)&&(i.addValidatorToQueue(),p.validateCell(e[s][3],c,function(t,o){return function(n){if("boolean"!=typeof n)throw new Error("Validation error: result is not boolean");n===!1&&o.allowInvalid===!1&&(e.splice(t,1),o.valid=!0,--t),i.removeValidatorFormQueue()}}(s,c),t))}i.checkIfQueueIsEmpty()}function r(e,t){var o=e.length-1;if(!(o<0)){for(;0<=o;o--){var n=!1;if(null!==e[o]){if(null!=e[o][2]||null!=e[o][3]){if(l.settings.allowInsertRow)for(;e[o][0]>p.countRows()-1;){var r=u.createRow();if(0===r){n=!0;break}}if(!n){if("array"===p.dataType&&(!l.settings.columns||0===l.settings.columns.length)&&l.settings.allowInsertColumn)for(;u.propToCol(e[o][1])>p.countCols()-1;)u.createCol();u.set(e[o][0],e[o][1],e[o][3])}}}else e.splice(o,1)}p.forceFullRender=!0,d.adjustRowsAndCols(),E.hooks.run(p,"beforeChangeRender",e,t),h.refreshBorders(null,!0),p.view.wt.wtOverlays.adjustElementsSize(),E.hooks.run(p,"afterChange",e,t||"edit");var i=p.getActiveEditor();i&&L(i.refreshValue)&&i.refreshValue()}}function i(e,t,o){return"object"==typeof e?e:[[e,t,o]]}function s(e){if(e.hasOwnProperty("type")){var t,o={};if("object"==typeof e.type)t=e.type;else if("string"==typeof e.type&&(t=E.cellTypes[e.type],void 0===t))throw new Error('You declared cell type "'+e.type+'" as a string that is not mapped to a known object. Cell type must be an object or a string mapped to an object in Handsontable.cellTypes');for(var n in t)t.hasOwnProperty(n)&&!e.hasOwnProperty(n)&&(o[n]=t[n]);return o}}function a(){throw new Error("This method cannot be called because this Handsontable instance has been destroyed")}var l,u,c,d,h,f,p=this,g=function(){},m=B(p),w=le(p);U(g.prototype,he.prototype),U(g.prototype,t),U(g.prototype,s(t)),this.rootElement=e,this.isHotTableEnv=x(this.rootElement),E.eventManager.isHotTableEnv=this.isHotTableEnv,this.container=document.createElement("DIV"),this.renderCall=!1,e.insertBefore(this.container,e.firstChild),this.guid="ht_"+ee(),c=new ne(p),this.rootElement.id&&"ht_"!==this.rootElement.id.substring(0,3)||(this.rootElement.id=this.guid),l={cellSettings:[],columnSettings:[],columnsSettingConflicts:["data","width"],settings:new g,selRange:null,isPopulated:null,scrollable:null,firstRun:!0},d={alter:function(e,t,o,n,r){function i(e,t,o,n){var r=function(){var 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C=0,_=p.countSourceRows();C<_;C++)l.cellSettings[C]&&l.cellSettings[C].splice(b,o);var R=p.getSettings().fixedColumnsLeft;R>=t+1&&(p.getSettings().fixedColumnsLeft-=Math.min(o,R-t)),Array.isArray(p.getSettings().colHeaders)&&("undefined"==typeof b&&(b=-1),p.getSettings().colHeaders.splice(b,o)),d.adjustRowsAndCols(),h.refreshBorders();break;default:throw new Error('There is no such action "'+e+'"')}r||d.adjustRowsAndCols()},adjustRowsAndCols:function(){if(l.settings.minRows){var e=p.countRows();if(ei-1?(c=i-1,a=!0,f>c&&(f=c)):f>i-1&&(f=i-1,a=!0,c>f&&(c=f)),d>s-1?(d=s-1,a=!0,g>d&&(g=d)):g>s-1&&(g=s-1,a=!0,d>g&&(d=g)),a&&p.selectCell(c,d,f,g)}p.view&&p.view.wt.wtOverlays.adjustElementsSize()},populateFromArray:function(e,t,o,n,r,i,s){var a,u,c,d,h=[],f={};if(u=t.length,0===u)return!1;var g,m,w,v;({row:null===o?null:o.row,col:null===o?null:o.col});switch(r){case"shift_down":for(g=o?o.col-e.col+1:0,m=o?o.row-e.row+1:0,t=ie(t),c=0,d=t.length,w=Math.max(d,g);co.row&&E>S||!l.settings.allowInsertRow&&f.row>p.countRows()-1||f.row>=l.settings.maxRows);a++){var O=a-C,T=M(O).length,k=o?o.col-e.col+1:0;if(d=o?k:Math.max(T,k),f.col=e.col,y=p.getCellMeta(f.row,f.col),"paste"!==n&&"autofill"!==n||!y.skipRowOnPaste){for(_=0,c=0;co.col&&k>T||!l.settings.allowInsertColumn&&f.col>p.countCols()-1||f.col>=l.settings.maxCols);c++)if(y=p.getCellMeta(f.row,f.col),"paste"!==n&&"autofill"!==n||!y.skipColumnOnPaste)if(y.readOnly)f.col++;else{var D=c-_,x=M(O,D),H=p.getDataAtCell(f.row,f.col),A={row:O,col:D};if("autofill"===n){var P=p.runHooks("beforeAutofillInsidePopulate",A,i,t,s,{},b);P&&(x=I(P.value)?x:P.value)}if(null!==x&&"object"==typeof x)if(null===H||"object"!=typeof H)R=!1;else{var N=Y(H[0]||H),L=Y(x[0]||x);$(N,L)?x=z(x):R=!1}else null!==H&&"object"==typeof 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e=!(l.selRange.to.col===l.selRange.from.col&&l.selRange.to.row===l.selRange.from.row),t=E.hooks.run(p,"afterIsMultipleSelection",e);if(e)return t},transformStart:function(e,t,o,n){var r,i,s,a,u=new ue(e,t),c=0,d=0;p.runHooks("modifyTransformStart",u),r=p.countRows(),i=p.countCols(),a=p.getSettings().fixedRowsBottom,l.selRange.highlight.row+e>r-1?o&&l.settings.minSpareRows>0&&!(a&&l.selRange.highlight.row>=r-a-1)?(p.alter("insert_row",r),r=p.countRows()):l.settings.autoWrapCol&&(u.row=1-r,u.col=l.selRange.highlight.col+u.col==i-1?1-i:1):l.settings.autoWrapCol&&l.selRange.highlight.row+u.row<0&&l.selRange.highlight.col+u.col>=0&&(u.row=r-1,u.col=l.selRange.highlight.col+u.col==0?i-1:-1),l.selRange.highlight.col+u.col>i-1?o&&l.settings.minSpareCols>0?(p.alter("insert_col",i),i=p.countCols()):l.settings.autoWrapRow&&(u.row=l.selRange.highlight.row+u.row==r-1?1-r:1,u.col=1-i):l.settings.autoWrapRow&&l.selRange.highlight.col+u.col<0&&l.selRange.highlight.row+u.row>=0&&(u.row=l.selRange.highlight.row+u.row==0?r-1:-1,u.col=i-1),s=new 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null!==l.selRange},inInSelection:function(e){return!!h.isSelected()&&l.selRange.includes(e)},deselect:function(){h.isSelected()&&(p.selection.inProgress=!1,l.selRange=null,p.view.wt.selections.current.clear(),p.view.wt.selections.area.clear(),(l.settings.currentHeaderClassName||l.settings.currentRowClassName||l.settings.currentColClassName)&&p.view.wt.selections.highlight.clear(),f.destroyEditor(),h.refreshBorders(),H(p.rootElement,["ht__selection--rows","ht__selection--columns"]),E.hooks.run(p,"afterDeselect"))},selectAll:function(){l.settings.multiSelect&&(h.setRangeStart(new ue(0,0)),h.setRangeEnd(new ue(p.countRows()-1,p.countCols()-1),!1))},empty:function(){if(h.isSelected()){var e,t,o=l.selRange.getTopLeftCorner(),n=l.selRange.getBottomRightCorner(),r=[];for(e=o.row;e<=n.row;e++)for(t=o.col;t<=n.col;t++)p.getCellMeta(e,t).readOnly||r.push([e,t,""]);p.setDataAtCell(r)}}},this.init=function(){c.setData(l.settings.data),E.hooks.run(p,"beforeInit"),W()&&k(p.rootElement,"mobile"),this.updateSettings(l.settings,!0),this.view=new oe(this),f=new V(p,l,h,u),this.forceFullRender=!0,E.hooks.run(p,"init"),this.view.render(),"object"==typeof l.firstRun&&(E.hooks.run(p,"afterChange",l.firstRun[0],l.firstRun[1]),l.firstRun=!1),E.hooks.run(p,"afterInit")},this.validateCell=function(e,t,o,n){function r(e){var n=t.visualCol,r=t.visualRow,i=p.getCell(r,n,!0);i&&"TH"!=i.nodeName&&p.view.wt.wtSettings.settings.cellRenderer(r,n,i),o(e)}var i=p.getCellValidator(t);"[object RegExp]"===Object.prototype.toString.call(i)&&(i=function(e){return 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void 0!==v&&(p.rootElement.style.height=v+"px",p.rootElement.style.overflow="hidden");if("undefined"!=typeof e.width){var C=e.width;P(C)&&(C=C()),p.rootElement.style.width=C+"px"}t||(u.clearLengthCache(),E.hooks.run(p,"afterUpdateSettings")),d.adjustRowsAndCols(),p.view&&!l.firstRun&&(p.forceFullRender=!0,h.refreshBorders(null,!0)),t||!p.view||""!==w&&""!==v&&void 0!==v||w===v||p.view.wt.wtOverlays.updateMainScrollableElements()},this.getValue=function(){var e=p.getSelected();if(g.prototype.getValue){if(P(g.prototype.getValue))return g.prototype.getValue.call(p);if(e)return p.getData()[e[0]][g.prototype.getValue]}else if(e)return p.getDataAtCell(e[0],e[1])},this.getSettings=function(){return l.settings},this.clear=function(){h.selectAll(),h.empty()},this.alter=function(e,t,o,n,r){d.alter(e,t,o,n,r)},this.getCell=function(e,t,o){return p.view.getCellAtCoords(new ue(e,t),o)},this.getCoords=function(e){return this.view.wt.wtTable.getCoords.call(this.view.wt.wtTable,e)},this.colToProp=function(e){return u.colToProp(e)},this.propToCol=function(e){return u.propToCol(e)},this.toVisualRow=function(e){return w.toVisualRow(e)},this.toVisualColumn=function(e){return w.toVisualColumn(e)},this.toPhysicalRow=function(e){return w.toPhysicalRow(e)},this.toPhysicalColumn=function(e){return w.toPhysicalColumn(e)},this.getDataAtCell=function(e,t){return u.get(e,u.colToProp(t))},this.getDataAtRowProp=function(e,t){return u.get(e,t)},this.getDataAtCol=function(e){var t=[];return t.concat.apply(t,u.getRange(new ue(0,e),new ue(l.settings.data.length-1,e),u.DESTINATION_RENDERER))},this.getDataAtProp=function(e){var t,o=[];return t=u.getRange(new ue(0,u.propToCol(e)),new ue(l.settings.data.length-1,u.propToCol(e)),u.DESTINATION_RENDERER),o.concat.apply(o,t)},this.getSourceData=function(e,t,o,n){var r;return r=void 0===e?c.getData():c.getByRange(new ue(e,t),new ue(o,n))},this.getSourceDataArray=function(e,t,o,n){var r;return r=void 0===e?c.getData(!0):c.getByRange(new ue(e,t),new ue(o,n),!0)},this.getSourceDataAtCol=function(e){return c.getAtColumn(e)},this.getSourceDataAtRow=function(e){ return c.getAtRow(e)},this.getSourceDataAtCell=function(e,t){return c.getAtCell(e,t)},this.getDataAtRow=function(e){var t=u.getRange(new ue(e,0),new ue(e,this.countCols()-1),u.DESTINATION_RENDERER);return t[0]},this.getDataType=function(e,t,o,n){var r=this,i=null,s=null;void 0===e&&(e=0,o=this.countRows(),t=0,n=this.countCols()),void 0===o&&(o=e),void 0===n&&(n=t);var a="mixed";return te(Math.min(e,o),Math.max(e,o),function(e){var o=!0;return te(Math.min(t,n),Math.max(t,n),function(t){var n=r.getCellMeta(e,t);return s=n.type,i?o=i===s:i=s,o}),a=o?s:"mixed",o}),a},this.removeCellMeta=function(e,t,o){var n=p.getCellMeta(e,t);void 0!=n[o]&&delete l.cellSettings[e][t][o]},this.spliceCellsMeta=function(e,t){for(var o,n=[],r=2;r=0;){for(var r=p.countCols()-1;r>=0;)t.addValidatorToQueue(),p.validateCell(p.getDataAtCell(n,r),p.getCellMeta(n,r),function(e){if("boolean"!=typeof e)throw new Error("Validation error: result is not boolean");e===!1&&(t.valid=!1),t.removeValidatorFormQueue()},"validateCells"),r--;n--}t.checkIfQueueIsEmpty()},this.getRowHeader=function(e){var t=l.settings.rowHeaders;return void 0!==e&&(e=E.hooks.run(p,"modifyRowHeader",e)),void 0===e?(t=[],te(p.countRows()-1,function(e){t.push(p.getRowHeader(e))})):Array.isArray(t)&&void 0!==t[e]?t=t[e]:P(t)?t=t(e):t&&"string"!=typeof t&&"number"!=typeof t&&(t=e+1),t},this.hasRowHeaders=function(){return!!l.settings.rowHeaders},this.hasColHeaders=function(){if(void 0!==l.settings.colHeaders&&null!==l.settings.colHeaders)return!!l.settings.colHeaders;for(var e=0,t=p.countCols();e=0;){if(t=E.hooks.run(this,"modifyRow",o),p.isEmptyRow(t))n++;else if(e)break;o--}return n},this.countEmptyCols=function(e){if(p.countRows()<1)return 0;for(var t=p.countCols()-1,o=0;t>=0;){if(p.isEmptyCol(t))o++;else if(e)break;t--}return o},this.isEmptyRow=function(e){return l.settings.isEmptyRow.call(p,e)},this.isEmptyCol=function(e){return l.settings.isEmptyCol.call(p,e)},this.selectCell=function(e,t,o,n,r,i){var s;if(i=I(i)||i===!0,"number"!=typeof e||e<0||e>=p.countRows())return!1;if("number"!=typeof t||t<0||t>=p.countCols())return!1;if(L(o)){if("number"!=typeof o||o<0||o>=p.countRows())return!1;if("number"!=typeof n||n<0||n>=p.countCols())return!1}return s=new ue(e,t),l.selRange=new ce(s,s,s),i&&p.listen(),I(o)?h.setRangeEnd(l.selRange.from,r):h.setRangeEnd(new ue(o,n),r),p.selection.finish(),!0},this.selectCellByProp=function(e,t,o,n,r){return arguments[1]=u.propToCol(arguments[1]),L(arguments[3])&&(arguments[3]=u.propToCol(arguments[3])),p.selectCell.apply(p,arguments)},this.deselectCell=function(){h.deselect()},this.scrollViewportTo=function(e,t){var o=void 0!==arguments[2]&&arguments[2],n=void 0!==arguments[3]&&arguments[3];if(void 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E.hooks.has(e,p)},this.addHookOnce=function(e,t){E.hooks.once(e,t,p)},this.removeHook=function(e,t){E.hooks.remove(e,t,p)},this.runHooks=function(e,t,o,n,r,i,s){return E.hooks.run(p,e,t,o,n,r,i,s)},this.timeouts=[],this._registerTimeout=function(e){this.timeouts.push(e)},this._clearTimeouts=function(){for(var e=0,t=this.timeouts.length;e0?s:this.instance.countSourceCols(),i=!0),e=0;e=this.instance.countSourceRows())&&(e=this.instance.countSourceRows()),f.hooks.run(this.instance,"beforeCreateRow",e,t,o),r=e;for(var a=this.instance.getSettings().maxRows;s=this.instance.countCols())&&(e=this.instance.countCols()),f.hooks.run(this.instance,"beforeCreateCol",e,t,o),r=e;for(var l=this.instance.getSettings().maxCols;a=this.instance.countCols()){if(i>0)for(var u=0;u-1){var i=t.split("."),s=o;if(!s)return null;for(var a=0,l=i.length;a-1){for(var a=t.split("."),l=r,u=0,c=a.length-1;uo[2]&&(n=o[0],o[0]=o[2],o[2]=n),o[1]>o[3]&&(n=o[1],o[1]=o[3],o[3]=n)):o=[this.row,this.col,null,null],this.instance.populateFromArray(o[0],o[1],e,o[2],o[3],"edit")},n.prototype.beginEditing=function(e,t){this.state==a.EditorState.VIRGIN&&(this.instance.view.scrollViewport(new u(this.row,this.col)),this.instance.view.render(),this.state=a.EditorState.EDITING,e="string"==typeof e?e:this.originalValue,this.setValue(l(e)),this.open(t),this._opened=!0,this.focus(),this.instance.view.render(),this.instance.runHooks("afterBeginEditing",this.row,this.col))},n.prototype.finishEditing=function(e,t,o){var n,r=this;if(o){var i=this._closeCallback;this._closeCallback=function(e){i&&i(e),o(e),r.instance.view.render()}}if(!this.isWaiting()){if(this.state==a.EditorState.VIRGIN)return void this.instance._registerTimeout(setTimeout(function(){r._fireCallbacks(!0)},0));if(this.state==a.EditorState.EDITING){if(e)return this.cancelChanges(),void this.instance.view.render();var s=this.getValue();n=this.instance.getSettings().trimWhitespace?[["string"==typeof s?String.prototype.trim.call(s||""):s]]:[[s]],this.state=a.EditorState.WAITING,this.saveValue(n,t),this.instance.getCellValidator(this.cellProperties)?this.instance.addHookOnce("postAfterValidate",function(e){r.state=a.EditorState.FINISHED,r.discardEditor(e)}):(this.state=a.EditorState.FINISHED,this.discardEditor(!0))}}},n.prototype.cancelChanges=function(){this.state=a.EditorState.FINISHED,this.discardEditor()},n.prototype.discardEditor=function(e){this.state===a.EditorState.FINISHED&&(e===!1&&this.cellProperties.allowInvalid!==!0?(this.instance.selectCell(this.row,this.col),this.focus(),this.state=a.EditorState.EDITING,this._fireCallbacks(!1)):(this.close(),this._opened=!1,this._fullEditMode=!1,this.state=a.EditorState.VIRGIN,this._fireCallbacks(!0)))},n.prototype.enableFullEditMode=function(){this._fullEditMode=!0},n.prototype.isInFullEditMode=function(){return this._fullEditMode},n.prototype.isOpened=function(){return this._opened},n.prototype.isWaiting=function(){return this.state===a.EditorState.WAITING},n.prototype.checkEditorSection=function(){var e=this.instance.countRows(),t="";return this.row=e-this.instance.getSettings().fixedRowsBottom?t=this.col"+l+""))),e.innerHTML=i},autoColumnSize:!0,modifyColWidth:function(e,t){var n=this.getPlugin("autoColumnSize").widths;return n[t]&&(e=n[t]),o?e:e+15}}),this.htEditor.view.wt.wtTable.holder.parentNode.style["padding-right"]=_()+2+"px",H&&(H=!1),t.instance._registerTimeout(setTimeout(function(){t.queryChoices(t.TEXTAREA.value)},0))},x.prototype.close=function(){D.prototype.close.apply(this,arguments)},x.prototype.queryChoices=function(e){var t=this;this.query=e;var o=this.cellProperties,n=o.source,r=(o.filter,o.filteringCaseSensitive,o.allowHtml),i=function(e){return v(e,function(e){return g(e)})};"function"==typeof n?n.call(this.cellProperties,e,function(e){t.updateChoicesList(r?e:i(e))}):Array.isArray(n)?this.updateChoicesList(r?n:i(n)):this.updateChoicesList([])},x.prototype.updateChoicesList=function(e){var t=C(this.TEXTAREA),o=R(this.TEXTAREA),n=this.cellProperties.sortByRelevance,r=this.cellProperties.filter,i=null,s=null;n&&(i=x.sortByRelevance(this.getValue(),e,this.cellProperties.filteringCaseSensitive));var a=Array.isArray(i)?i.length:0;if(r===!1)a&&(s=i[0]);else{for(var l=[],u=0,c=e.length;ul&&a>l;return u?this.flipDropdown(o):this.unflipDropdown(),this.limitDropdownIfNeeded(u?a:l,o),u},x.prototype.limitDropdownIfNeeded=function(e,t){if(t>e){var o=0,n=0,r=0,i=null;do r=this.htEditor.getRowHeight(n)||this.htEditor.view.wt.wtSettings.settings.defaultRowHeight,o+=r,n++;while(ot.charsLeft?1:0:void 0}),s=0,c=a.length;s=t?t*e:this.choices.length*e+8},x.prototype.allowKeyEventPropagation=function(e){var t={row:this.htEditor.getSelectedRange()?this.htEditor.getSelectedRange().from.row:-1},o=!1;return e===h.ARROW_DOWN&&t.row>0&&t.row-1&&(o=!0),o},x.prototype.discardEditor=function(e){D.prototype.discardEditor.apply(this,arguments),this.instance.view.render()},k("autocomplete",x)},{editors:30,handsontableEditor:36,"helpers/array":43,"helpers/dom/element":47,"helpers/mixed":51,"helpers/string":55,"helpers/unicode":56}],33:[function(e,t,o){"use strict";Object.defineProperties(o,{CheckboxEditor:{get:function(){return u}},__esModule:{value:!0}});var n,r,i,s=(n=e("editors"),n&&n.__esModule&&n||{default:n}).registerEditor,a=(r=e("_baseEditor"),r&&r.__esModule&&r||{default:r}).BaseEditor,l=(i=e("helpers/dom/element"),i&&i.__esModule&&i||{default:i}).hasClass,u=function(){$traceurRuntime.superConstructor(c).apply(this,arguments)},c=u;$traceurRuntime.createClass(u,{beginEditing:function(e,t){if(void 0===t){var o=this.TD.querySelector('input[type="checkbox"]');l(o,"htBadValue")||o.click()}},finishEditing:function(){},init:function(){},open:function(){},close:function(){},getValue:function(){},setValue:function(){},focus:function(){}},{},a),s("checkbox",u)},{_baseEditor:31,editors:30,"helpers/dom/element":47}],34:[function(e,t,o){"use strict";Object.defineProperties(o,{DateEditor:{get:function(){return E}},__esModule:{value:!0}});var n,r,i,s,a,l,u,c,d,h,f=(n=e("browser"),n&&n.__esModule&&n||{default:n}).default,p=(r=e("helpers/dom/element"),r&&r.__esModule&&r||{default:r}),g=p.addClass,m=p.outerHeight,w=(i=e("helpers/object"),i&&i.__esModule&&i||{default:i}).deepExtend,v=(s=e("eventManager"),s&&s.__esModule&&s||{default:s}).EventManager,y=(a=e("editors"),a&&a.__esModule&&a||{default:a}),b=(y.getEditor,y.registerEditor),C=(l=e("helpers/unicode"),l&&l.__esModule&&l||{default:l}).isMetaKey,_=(u=e("helpers/dom/event"),u&&u.__esModule&&u||{default:u}).stopPropagation,R=(c=e("textEditor"),c&&c.__esModule&&c||{default:c}).TextEditor,M=(d=e("moment"),d&&d.__esModule&&d||{default:d}).default,S=(h=e("pikaday"),h&&h.__esModule&&h||{default:h}).default,E=function(e){this.$datePicker=null,this.datePicker=null,this.datePickerStyle=null,this.defaultDateFormat="DD/MM/YYYY",this.isCellEdited=!1,this.parentDestroyed=!1,$traceurRuntime.superConstructor(O).call(this,e)},O=E;$traceurRuntime.createClass(E,{init:function(){var e=this;if("function"!=typeof M)throw new Error("You need to include moment.js to your project.");if("function"!=typeof S)throw new Error("You need to include Pikaday to your project.");$traceurRuntime.superGet(this,O.prototype,"init").call(this),this.instance.addHook("afterDestroy",function(){e.parentDestroyed=!0,e.destroyElements()})},createElements:function(){$traceurRuntime.superGet(this,O.prototype,"createElements").call(this),this.datePicker=document.createElement("DIV"),this.datePickerStyle=this.datePicker.style,this.datePickerStyle.position="absolute",this.datePickerStyle.top=0,this.datePickerStyle.left=0,this.datePickerStyle.zIndex=9999,g(this.datePicker,"htDatepickerHolder"),document.body.appendChild(this.datePicker),this.$datePicker=new S(this.getDatePickerConfig());var e=new v(this);e.addEventListener(this.datePicker,"mousedown",function(e){return _(e)}),this.hideDatepicker()},destroyElements:function(){this.$datePicker.destroy()},prepare:function(e,t,o,n,r,i){this._opened=!1,$traceurRuntime.superGet(this,O.prototype,"prepare").call(this,e,t,o,n,r,i)},open:function(){var e=void 0!==arguments[0]?arguments[0]:null;$traceurRuntime.superGet(this,O.prototype,"open").call(this),this.showDatepicker(e)},close:function(){var e=this;this._opened=!1,this.instance._registerTimeout(setTimeout(function(){e.instance.selection.refreshBorders()},0)),$traceurRuntime.superGet(this,O.prototype,"close").call(this)},finishEditing:function(){var e=void 0!==arguments[0]&&arguments[0],t=void 0!==arguments[1]&&arguments[1];if(e){var o=this.originalValue;void 0!==o&&this.setValue(o)}this.hideDatepicker(),$traceurRuntime.superGet(this,O.prototype,"finishEditing").call(this,e,t)},showDatepicker:function(e){this.$datePicker.config(this.getDatePickerConfig());var t,o=this.TD.getBoundingClientRect(),n=this.cellProperties.dateFormat||this.defaultDateFormat,r=this.$datePicker.config(),i=this.instance.view.isMouseDown(),s=!!e&&C(e.keyCode);this.datePickerStyle.top=window.pageYOffset+o.top+m(this.TD)+"px",this.datePickerStyle.left=window.pageXOffset+o.left+"px",this.$datePicker._onInputFocus=function(){},r.format=n,this.originalValue?(t=this.originalValue,M(t,n,!0).isValid()&&this.$datePicker.setMoment(M(t,n),!0),this.getValue()!==this.originalValue&&this.setValue(this.originalValue),s||i||this.setValue("")):this.cellProperties.defaultDate?(t=this.cellProperties.defaultDate,r.defaultDate=t,M(t,n,!0).isValid()&&this.$datePicker.setMoment(M(t,n),!0),s||i||this.setValue("")):this.$datePicker.gotoToday(),this.datePickerStyle.display="block",this.$datePicker.show()},hideDatepicker:function(){this.datePickerStyle.display="none",this.$datePicker.hide()},getDatePickerConfig:function(){var e=this,t=this.TEXTAREA,o={};this.cellProperties&&this.cellProperties.datePickerConfig&&w(o,this.cellProperties.datePickerConfig);var n=o.onSelect,r=o.onClose;return o.field=t,o.trigger=t,o.container=this.datePicker,o.bound=!1,o.format=o.format||this.defaultDateFormat,o.reposition=o.reposition||!1,o.onSelect=function(t){isNaN(t.getTime())||(t=M(t).format(e.cellProperties.dateFormat||e.defaultDateFormat)),e.setValue(t),e.hideDatepicker(),n&&n()},o.onClose=function(){e.parentDestroyed||e.finishEditing(!1),r&&r()},o}},{},R),f.editors=f.editors||{},f.editors.DateEditor=E,b("date",E)},{browser:24,editors:30,eventManager:42,"helpers/dom/element":47,"helpers/dom/event":48,"helpers/object":53,"helpers/unicode":56,moment:"moment",pikaday:"pikaday",textEditor:41}],35:[function(e,t,o){"use strict";Object.defineProperties(o,{DropdownEditor:{get:function(){return c}},__esModule:{value:!0}});var n,r,i,s=(n=e("browser"),n&&n.__esModule&&n||{default:n}).default,a=(r=e("editors"),r&&r.__esModule&&r||{default:r}),l=(a.getEditor,a.registerEditor),u=(a.getEditorConstructor,(i=e("autocompleteEditor"),i&&i.__esModule&&i||{default:i}).AutocompleteEditor),c=function(){$traceurRuntime.superConstructor(d).apply(this,arguments)},d=c;$traceurRuntime.createClass(c,{prepare:function(e,t,o,n,r,i){$traceurRuntime.superGet(this,d.prototype,"prepare").call(this,e,t,o,n,r,i),this.cellProperties.filter=!1,this.cellProperties.strict=!0}},{},u),s.hooks.add("beforeValidate",function(e,t,o,n){var r=this.getCellMeta(t,this.propToCol(o));r.editor===s.editors.DropdownEditor&&void 0===r.strict&&(r.filter=!1,r.strict=!0)}),l("dropdown",c)},{autocompleteEditor:32,browser:24,editors:30}],36:[function(e,t,o){"use strict";Object.defineProperties(o,{HandsontableEditor:{get:function(){return b}},__esModule:{value:!0}});var n,r,i,s,a,l,u,c=(n=e("browser"),n&&n.__esModule&&n||{default:n}).default,d=(r=e("helpers/unicode"),r&&r.__esModule&&r||{default:r}).KEY_CODES,h=(i=e("helpers/object"),i&&i.__esModule&&i||{default:i}).extend,f=(s=e("helpers/dom/element"),s&&s.__esModule&&s||{default:s}).setCaretPosition,p=(a=e("helpers/dom/event"),a&&a.__esModule&&a||{default:a}),g=p.stopImmediatePropagation,m=p.isImmediatePropagationStopped,w=(l=e("editors"),l&&l.__esModule&&l||{default:l}),v=(w.getEditor,w.registerEditor),y=(u=e("textEditor"),u&&u.__esModule&&u||{default:u}).TextEditor,b=y.prototype.extend();b.prototype.createElements=function(){y.prototype.createElements.apply(this,arguments);var e=document.createElement("DIV");e.className="handsontableEditor",this.TEXTAREA_PARENT.appendChild(e),this.htContainer=e,this.assignHooks()},b.prototype.prepare=function(e,t,o,n,r,i){y.prototype.prepare.apply(this,arguments);var s=this,a={startRows:0,startCols:0,minRows:0,minCols:0,className:"listbox",copyPaste:!1,autoColumnSize:!1,autoRowSize:!1,readOnly:!0,fillHandle:!1,afterOnCellMouseDown:function(){var e=this.getValue();void 0!==e&&s.setValue(e),s.instance.destroyEditor()}};this.cellProperties.handsontable&&h(a,i.handsontable),this.htOptions=a};var C=function(e){if(!m(e)){var t,o=this.getActiveEditor(),n=o.htEditor.getInstance();if(e.keyCode==d.ARROW_DOWN)if(n.getSelected()||n.flipped){if(n.getSelected())if(n.flipped)t=n.getSelected()[0]+1;else if(!n.flipped){var r=n.getSelected()[0],i=n.countRows()-1;t=Math.min(i,r+1)}}else t=0;else if(e.keyCode==d.ARROW_UP)if(!n.getSelected()&&n.flipped)t=n.countRows()-1;else if(n.getSelected())if(n.flipped){var r=n.getSelected()[0];t=Math.max(0,r-1)}else{var r=n.getSelected()[0];t=r-1}void 0!==t&&(t<0||n.flipped&&t>n.countRows()-1?n.deselectCell():n.selectCell(t,0),n.getData().length&&(e.preventDefault(),g(e),o.instance.listen(),o.TEXTAREA.focus()))}};b.prototype.open=function(){this.instance.addHook("beforeKeyDown",C),y.prototype.open.apply(this,arguments),this.htEditor&&this.htEditor.destroy(),this.htEditor=new c(this.htContainer,this.htOptions),this.cellProperties.strict?(this.htEditor.selectCell(0,0),this.TEXTAREA.style.visibility="hidden"):(this.htEditor.deselectCell(),this.TEXTAREA.style.visibility="visible"),f(this.TEXTAREA,0,this.TEXTAREA.value.length)},b.prototype.close=function(){this.instance.removeHook("beforeKeyDown",C),this.instance.listen(),y.prototype.close.apply(this,arguments)},b.prototype.focus=function(){this.instance.listen(),y.prototype.focus.apply(this,arguments)},b.prototype.beginEditing=function(e){var t=this.instance.getSettings().onBeginEditing;t&&t()===!1||y.prototype.beginEditing.apply(this,arguments)},b.prototype.finishEditing=function(e,t){if(this.htEditor&&this.htEditor.isListening()&&this.instance.listen(),this.htEditor&&this.htEditor.getSelected()){var o=this.htEditor.getInstance().getValue();void 0!==o&&this.setValue(o)}return y.prototype.finishEditing.apply(this,arguments)},b.prototype.assignHooks=function(){var e=this;this.instance.addHook("afterDestroy",function(){e.htEditor&&e.htEditor.destroy()})},v("handsontable",b)},{browser:24,editors:30,"helpers/dom/element":47,"helpers/dom/event":48,"helpers/object":53,"helpers/unicode":56,textEditor:41}],37:[function(e,t,o){"use strict";Object.defineProperties(o,{MobileTextEditor:{get:function(){return k}},__esModule:{value:!0}});var n,r,i,s,a,l,u,c=((n=e("browser"),n&&n.__esModule&&n||{default:n}).default,(r=e("helpers/unicode"),r&&r.__esModule&&r||{default:r}).KEY_CODES),d=(i=e("helpers/dom/event"),i&&i.__esModule&&i||{default:i}),h=d.stopImmediatePropagation,f=d.isImmediatePropagationStopped,p=(s=e("helpers/dom/element"),s&&s.__esModule&&s||{default:s}),g=p.addClass,m=p.getScrollLeft,w=p.getScrollTop,v=p.hasClass,y=p.isChildOf,b=p.offset,C=p.outerHeight,_=p.outerWidth,R=p.removeClass,M=p.setCaretPosition,S=(a=e("editors"),a&&a.__esModule&&a||{default:a}),E=(S.getEditor,S.registerEditor),O=(l=e("_baseEditor"),l&&l.__esModule&&l||{default:l}).BaseEditor,T=(u=e("eventManager"),u&&u.__esModule&&u||{default:u}).eventManager,k=O.prototype.extend(),D={},x=function(){this.controls={},this.controls.leftButton=document.createElement("DIV"),this.controls.leftButton.className="leftButton",this.controls.rightButton=document.createElement("DIV"),this.controls.rightButton.className="rightButton",this.controls.upButton=document.createElement("DIV"),this.controls.upButton.className="upButton",this.controls.downButton=document.createElement("DIV"),this.controls.downButton.className="downButton";for(var e in this.controls)this.controls.hasOwnProperty(e)&&this.positionControls.appendChild(this.controls[e])};k.prototype.valueChanged=function(){return this.initValue!=this.getValue()},k.prototype.init=function(){var e=this;this.eventManager=T(this.instance),this.createElements(),this.bindEvents(),this.instance.addHook("afterDestroy",function(){e.destroy()})},k.prototype.getValue=function(){return this.TEXTAREA.value},k.prototype.setValue=function(e){this.initValue=e,this.TEXTAREA.value=e},k.prototype.createElements=function(){this.editorContainer=document.createElement("DIV"),this.editorContainer.className="htMobileEditorContainer",this.cellPointer=document.createElement("DIV"),this.cellPointer.className="cellPointer",this.moveHandle=document.createElement("DIV"),this.moveHandle.className="moveHandle",this.inputPane=document.createElement("DIV"),this.inputPane.className="inputs",this.positionControls=document.createElement("DIV"),this.positionControls.className="positionControls",this.TEXTAREA=document.createElement("TEXTAREA"),g(this.TEXTAREA,"handsontableInput"),this.inputPane.appendChild(this.TEXTAREA),this.editorContainer.appendChild(this.cellPointer),this.editorContainer.appendChild(this.moveHandle),this.editorContainer.appendChild(this.inputPane),this.editorContainer.appendChild(this.positionControls),x.call(this),document.body.appendChild(this.editorContainer)},k.prototype.onBeforeKeyDown=function(e){var t=this,o=t.getActiveEditor();if(e.target===o.TEXTAREA&&!f(e))switch(e.keyCode){case c.ENTER:o.close(),e.preventDefault();break;case c.BACKSPACE:h(e)}},k.prototype.open=function(){this.instance.addHook("beforeKeyDown",this.onBeforeKeyDown),g(this.editorContainer,"active"),R(this.cellPointer,"hidden"),this.updateEditorPosition()},k.prototype.focus=function(){this.TEXTAREA.focus(),M(this.TEXTAREA,this.TEXTAREA.value.length)},k.prototype.close=function(){this.TEXTAREA.blur(),this.instance.removeHook("beforeKeyDown",this.onBeforeKeyDown),R(this.editorContainer,"active")},k.prototype.scrollToView=function(){var e=this.instance.getSelectedRange().highlight;this.instance.view.scrollViewport(e)},k.prototype.hideCellPointer=function(){v(this.cellPointer,"hidden")||g(this.cellPointer,"hidden")},k.prototype.updateEditorPosition=function(e,t){if(e&&t)e=parseInt(e,10),t=parseInt(t,10),this.editorContainer.style.top=t+"px",this.editorContainer.style.left=e+"px";else{var o=this.instance.getSelected(),n=this.instance.getCell(o[0],o[1]);if(D.cellPointer||(D.cellPointer={height:C(this.cellPointer),width:_(this.cellPointer)}),D.editorContainer||(D.editorContainer={width:_(this.editorContainer)}),void 0!==n){var r=this.instance.view.wt.wtOverlays.leftOverlay.trimmingContainer==window?0:m(this.instance.view.wt.wtOverlays.leftOverlay.holder),i=this.instance.view.wt.wtOverlays.topOverlay.trimmingContainer==window?0:w(this.instance.view.wt.wtOverlays.topOverlay.holder),s=b(n),a=_(n),l={x:r,y:i};this.editorContainer.style.top=parseInt(s.top+C(n)-l.y+D.cellPointer.height,10)+"px",this.editorContainer.style.left=parseInt(window.innerWidth/2-D.editorContainer.width/2,10)+"px",s.left+a/2>parseInt(this.editorContainer.style.left,10)+D.editorContainer.width?this.editorContainer.style.left=window.innerWidth-D.editorContainer.width+"px":s.left+a/2=0&&(o.select[n].selected=!0),C(e),e.preventDefault();break;case _.ARROW_DOWN:var r=o.select.selectedIndex+1;r<=o.select.length-1&&(o.select[r].selected=!0),C(e),e.preventDefault()}};E.prototype.open=function(){this._opened=!0,this.refreshDimensions(),this.select.style.display="",this.instance.addHook("beforeKeyDown",O)},E.prototype.close=function(){this._opened=!1,this.select.style.display="none",this.instance.removeHook("beforeKeyDown",O)},E.prototype.focus=function(){this.select.focus()},E.prototype.refreshValue=function(){var e=this.instance.getSourceDataAtCell(this.row,this.prop);this.originalValue=e,this.setValue(e),this.refreshDimensions()},E.prototype.refreshDimensions=function(){if(this.state===u.EditorState.EDITING){if(this.TD=this.getEditedCell(),!this.TD)return void this.close();var e,t=y(this.TD)+1,o=v(this.TD)+1,n=w(this.TD),r=w(this.instance.rootElement),i=m(this.TD),s=n.top-r.top-1-(i.scrollTop||0),a=n.left-r.left-1-(i.scrollLeft||0),l=this.checkEditorSection(),c=this.instance.getSettings();c.rowHeaders?1:0,c.colHeaders?1:0;switch(l){case"top":e=g(this.instance.view.wt.wtOverlays.topOverlay.clone.wtTable.holder.parentNode);break;case"left":e=g(this.instance.view.wt.wtOverlays.leftOverlay.clone.wtTable.holder.parentNode);break;case"top-left-corner":e=g(this.instance.view.wt.wtOverlays.topLeftCornerOverlay.clone.wtTable.holder.parentNode);break;case"bottom-left-corner":e=g(this.instance.view.wt.wtOverlays.bottomLeftCornerOverlay.clone.wtTable.holder.parentNode);break;case"bottom":e=g(this.instance.view.wt.wtOverlays.bottomOverlay.clone.wtTable.holder.parentNode)}0===this.instance.getSelected()[0]&&(s+=1), 0===this.instance.getSelected()[1]&&(a+=1);var d=this.select.style;e&&e!=-1?d[e[0]]=e[1]:b(this.select);var h=p(this.TD);parseInt(h.borderTopWidth,10)>0&&(o-=1),parseInt(h.borderLeftWidth,10)>0&&(t-=1),d.height=o+"px",d.minWidth=t+"px",d.top=s+"px",d.left=a+"px",d.margin="0px"}},E.prototype.getEditedCell=function(){var e,t=this.checkEditorSection();switch(t){case"top":e=this.instance.view.wt.wtOverlays.topOverlay.clone.wtTable.getCell({row:this.row,col:this.col}),this.select.style.zIndex=101;break;case"corner":e=this.instance.view.wt.wtOverlays.topLeftCornerOverlay.clone.wtTable.getCell({row:this.row,col:this.col}),this.select.style.zIndex=103;break;case"left":e=this.instance.view.wt.wtOverlays.leftOverlay.clone.wtTable.getCell({row:this.row,col:this.col}),this.select.style.zIndex=102;break;default:e=this.instance.getCell(this.row,this.col),this.select.style.zIndex=""}return e!=-1&&e!=-2?e:void 0},M("select",E)},{_baseEditor:31,browser:24,editors:30,"helpers/dom/element":47,"helpers/dom/event":48,"helpers/unicode":56}],41:[function(e,t,o){"use strict";Object.defineProperties(o,{TextEditor:{get:function(){return N}},__esModule:{value:!0}});var n,r,i,s,a,l,u,c,d=(n=e("browser"),n&&n.__esModule&&n||{default:n}).default,h=(r=e("helpers/dom/element"),r&&r.__esModule&&r||{default:r}),f=h.addClass,p=h.getCaretPosition,g=h.getComputedStyle,m=h.getCssTransform,w=h.getScrollableElement,v=h.getScrollbarWidth,y=h.innerWidth,b=h.offset,C=h.resetCssTransform,_=h.setCaretPosition,R=h.hasVerticalScrollbar,M=h.hasHorizontalScrollbar,S=(i=e("autoResize"),i&&i.__esModule&&i||{default:i}).default,E=(s=e("_baseEditor"),s&&s.__esModule&&s||{default:s}).BaseEditor,O=(a=e("eventManager"),a&&a.__esModule&&a||{default:a}).eventManager,T=(l=e("editors"),l&&l.__esModule&&l||{default:l}),k=(T.getEditor,T.registerEditor),D=(u=e("helpers/unicode"),u&&u.__esModule&&u||{default:u}).KEY_CODES,x=(c=e("helpers/dom/event"),c&&c.__esModule&&c||{default:c}),H=x.stopPropagation,A=x.stopImmediatePropagation,P=x.isImmediatePropagationStopped,N=E.prototype.extend();N.prototype.init=function(){var 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e=this.hotMenu.getCell(0,0);L(e)||P(e)||I(e)?this.selectNextCell(0,0):this.hotMenu.selectCell(0,0)},selectLastCell:function(){var e=this.hotMenu.countRows()-1,t=this.hotMenu.getCell(e,0);L(t)||P(t)||I(t)?this.selectPrevCell(e,0):this.hotMenu.selectCell(e,0)},selectNextCell:function(e,t){var o=e+1,n=o=0?this.hotMenu.getCell(o,t):null;n&&(L(n)||P(n)||I(n)?this.selectPrevCell(o,t):this.hotMenu.selectCell(o,t))},menuItemRenderer:function(e,t,o,n,r,i){var s=this,a=e.getSourceDataAtRow(o),l=document.createElement("div"),u=function(e){return e.hasOwnProperty("submenu")},c=function(e){return new RegExp(B,"i").test(e.name)},d=function(e){return e.disabled===!0||"function"==typeof e.disabled&&e.disabled.call(s.hot)===!0},h=function(e){return e.disableSelection};"function"==typeof i&&(i=i.call(this.hot)),v(t),w(l,"htItemWrapper"),t.appendChild(l),c(a)?w(t,"htSeparator"):"function"==typeof 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s,a,l,u,c,d,h,f,p,g,m,w,v,a,l,u,c,d,h,f,p,g,m,w,v,y=(s=e("helpers/object"),s&&s.__esModule&&s||{default:s}).objectEach,b=(a=e("predefinedItems/alignment"),a&&a.__esModule&&a||{default:a}),C=b.alignmentItem,_=b.KEY,R=(l=e("predefinedItems/clearColumn"),l&&l.__esModule&&l||{default:l}),M=R.clearColumnItem,S=R.KEY,E=(u=e("predefinedItems/columnLeft"),u&&u.__esModule&&u||{default:u}),O=E.columnLeftItem,T=E.KEY,k=(c=e("predefinedItems/columnRight"),c&&c.__esModule&&c||{default:c}),D=k.columnRightItem,x=k.KEY,H=(d=e("predefinedItems/readOnly"),d&&d.__esModule&&d||{default:d}),A=H.readOnlyItem,P=H.KEY,N=(h=e("predefinedItems/redo"),h&&h.__esModule&&h||{default:h}),L=N.redoItem,I=N.KEY,W=(f=e("predefinedItems/removeColumn"),f&&f.__esModule&&f||{default:f}),j=W.removeColumnItem,V=W.KEY,B=(p=e("predefinedItems/removeRow"),p&&p.__esModule&&p||{default:p}),F=B.removeRowItem,z=B.KEY,Y=(g=e("predefinedItems/rowAbove"),g&&g.__esModule&&g||{default:g}),U=Y.rowAboveItem,G=Y.KEY,$=(m=e("predefinedItems/rowBelow"),m&&m.__esModule&&m||{default:m}),K=$.rowBelowItem,X=$.KEY,q=(w=e("predefinedItems/separator"),w&&w.__esModule&&w||{default:w}),Z=q.separatorItem,J=q.KEY,Q=(v=e("predefinedItems/undo"),v&&v.__esModule&&v||{default:v}),ee=Q.undoItem,te=Q.KEY,a=(a=e("predefinedItems/alignment"),a&&a.__esModule&&a||{default:a}),l=(l=e("predefinedItems/clearColumn"),l&&l.__esModule&&l||{default:l}),u=(u=e("predefinedItems/columnLeft"),u&&u.__esModule&&u||{default:u}),c=(c=e("predefinedItems/columnRight"),c&&c.__esModule&&c||{default:c}),d=(d=e("predefinedItems/readOnly"),d&&d.__esModule&&d||{default:d}),h=(h=e("predefinedItems/redo"),h&&h.__esModule&&h||{default:h}),f=(f=e("predefinedItems/removeColumn"),f&&f.__esModule&&f||{default:f}),p=(p=e("predefinedItems/removeRow"),p&&p.__esModule&&p||{default:p}),g=(g=e("predefinedItems/rowAbove"),g&&g.__esModule&&g||{default:g}),m=(m=e("predefinedItems/rowBelow"),m&&m.__esModule&&m||{default:m}),w=(w=e("predefinedItems/separator"),w&&w.__esModule&&w||{default:w}),v=(v=e("predefinedItems/undo"),v&&v.__esModule&&v||{default:v}),oe=[G,X,T,x,S,z,V,te,I,P,_,J],ne=(i={},Object.defineProperty(i,J,{value:Z,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,G,{value:U,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,X,{value:K,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,T,{value:O,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,x,{value:D,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,S,{value:M,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,z,{value:F,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,V,{value:j,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,te,{value:ee,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,I,{value:L,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,P,{value:A,configurable:!0,enumerable:!0,writable:!0}),Object.defineProperty(i,_,{value:C,configurable:!0,enumerable:!0,writable:!0}),i)},{"helpers/object":53,"predefinedItems/alignment":76,"predefinedItems/clearColumn":77,"predefinedItems/columnLeft":78,"predefinedItems/columnRight":79,"predefinedItems/readOnly":80,"predefinedItems/redo":81,"predefinedItems/removeColumn":82,"predefinedItems/removeRow":83,"predefinedItems/rowAbove":84,"predefinedItems/rowBelow":85,"predefinedItems/separator":86,"predefinedItems/undo":87}],76:[function(e,t,o){"use strict";function n(){return{key:h,name:"Alignment",disabled:function(){return!(this.getSelectedRange()&&!this.selection.selectedHeader.corner)},submenu:{items:[{key:h+":left",name:function(){var e=this,t="Left",o=u(this.getSelectedRange(),function(t,o){var n=e.getCellMeta(t,o).className;if(n&&n.indexOf("htLeft")!==-1)return!0});return o&&(t=c(t)),t},callback:function(){var e=this,t=this.getSelectedRange(),o=l(t,function(t,o){return e.getCellMeta(t,o).className}),n="horizontal",r="htLeft";this.runHooks("beforeCellAlignment",o,t,n,r),a(t,n,r,function(t,o){return e.getCellMeta(t,o)}),this.render()},disabled:!1},{key:h+":center",name:function(){var e=this,t="Center",o=u(this.getSelectedRange(),function(t,o){var n=e.getCellMeta(t,o).className;if(n&&n.indexOf("htCenter")!==-1)return!0});return o&&(t=c(t)),t},callback:function(){var e=this,t=this.getSelectedRange(),o=l(t,function(t,o){return e.getCellMeta(t,o).className}),n="horizontal",r="htCenter";this.runHooks("beforeCellAlignment",o,t,n,r),a(t,n,r,function(t,o){return e.getCellMeta(t,o)}),this.render()},disabled:!1},{key:h+":right",name:function(){var e=this,t="Right",o=u(this.getSelectedRange(),function(t,o){var n=e.getCellMeta(t,o).className;if(n&&n.indexOf("htRight")!==-1)return!0});return o&&(t=c(t)),t},callback:function(){var e=this,t=this.getSelectedRange(),o=l(t,function(t,o){return e.getCellMeta(t,o).className}),n="horizontal",r="htRight";this.runHooks("beforeCellAlignment",o,t,n,r),a(t,n,r,function(t,o){return e.getCellMeta(t,o)}),this.render()},disabled:!1},{key:h+":justify",name:function(){var e=this,t="Justify",o=u(this.getSelectedRange(),function(t,o){var n=e.getCellMeta(t,o).className;if(n&&n.indexOf("htJustify")!==-1)return!0});return o&&(t=c(t)),t},callback:function(){var e=this,t=this.getSelectedRange(),o=l(t,function(t,o){return e.getCellMeta(t,o).className}),n="horizontal",r="htJustify";this.runHooks("beforeCellAlignment",o,t,n,r),a(t,n,r,function(t,o){return e.getCellMeta(t,o)}),this.render()},disabled:!1},{name:d},{key:h+":top",name:function(){var e=this,t="Top",o=u(this.getSelectedRange(),function(t,o){var n=e.getCellMeta(t,o).className;if(n&&n.indexOf("htTop")!==-1)return!0});return o&&(t=c(t)),t},callback:function(){var e=this,t=this.getSelectedRange(),o=l(t,function(t,o){return e.getCellMeta(t,o).className}),n="vertical",r="htTop";this.runHooks("beforeCellAlignment",o,t,n,r),a(t,n,r,function(t,o){return e.getCellMeta(t,o)}),this.render()},disabled:!1},{key:h+":middle",name:function(){var e=this,t="Middle",o=u(this.getSelectedRange(),function(t,o){var n=e.getCellMeta(t,o).className;if(n&&n.indexOf("htMiddle")!==-1)return!0});return o&&(t=c(t)),t},callback:function(){var e=this,t=this.getSelectedRange(),o=l(t,function(t,o){return 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r,i,s=(r=e("utils"),r&&r.__esModule&&r||{default:r}),a=s.align,l=s.getAlignmentClasses,u=s.checkSelectionConsistency,c=s.markLabelAsSelected,d=(i=e("separator"),i&&i.__esModule&&i||{default:i}).KEY,h="alignment"},{separator:86,utils:88}],77:[function(e,t,o){"use strict";function n(){return{key:s,name:"Clear column",callback:function(e,t){var o=t.start.col;this.countRows()&&this.populateFromArray(0,o,[[null]],Math.max(t.start.row,t.end.row),o)},disabled:function(){var e=i(this);if(!e)return!0;var t=[e[0],0,e[0],this.countCols()-1],o=t.join(",")==e.join(",");return e[1]<0||this.countCols()>=this.getSettings().maxCols||o}}}Object.defineProperties(o,{KEY:{get:function(){return s}},clearColumnItem:{get:function(){return n}},__esModule:{value:!0}});var r,i=(r=e("utils"),r&&r.__esModule&&r||{default:r}).getValidSelection,s="clear_column"},{utils:88}],78:[function(e,t,o){"use strict";function n(){return{key:s,name:"Insert column on the 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{% endblock %} pyexcel-0.7.0/docs/source/answers.rst000066400000000000000000000025321420202037400176270ustar00rootroot00000000000000Questions and Answers ======================= #. `Python flask writing to a csv file and reading it `_ #. `PyQt: Import .xls file and populate QTableWidget? `_ #. `How do I write data to csv file in columns and rows from a list in python? `_ #. `How to write dictionary values to a csv file using Python `_ #. `Python convert csv to xlsx `_ #. `How to read data from excel and set data type `_ #. `Remove or keep specific columns in csv file `_ #. `How can I put a CSV file in an array? `_ pyexcel-0.7.0/docs/source/api.rst000066400000000000000000000113351420202037400167170ustar00rootroot00000000000000 ============= API Reference ============= .. currentmodule:: pyexcel .. _api: This is intended for users of pyexcel. .. _signature-functions: Signature functions ==================== .. _conversion-from: Obtaining data from excel file ------------------------------- .. autosummary:: :toctree: generated/ get_array get_dict get_records get_book_dict get_book get_sheet iget_book iget_array iget_records free_resources .. _conversion-to: Saving data to excel file -------------------------- .. autosummary:: :toctree: generated/ save_as isave_as save_book_as isave_book_as These flags can be passed on all signature functions: auto_detect_int ******************* Automatically convert float values to integers if the float number has no decimal values(e.g. 1.00). By default, it does the detection. Setting it to False will turn on this behavior It has no effect on pyexcel-xlsx because it does that by default. auto_detect_float *********************** Automatically convert text to float values if possible. This applies only pyexcel-io where csv, tsv, csvz and tsvz formats are supported. By default, it does the detection. Setting it to False will turn on this behavior auto_detect_datetime ********************** Automatically convert text to python datetime if possible. This applies only pyexcel-io where csv, tsv, csvz and tsvz formats are supported. By default, it does the detection. Setting it to False will turn on this behavior library ************** Name a pyexcel plugin to handle a file format. In the situation where multiple plugins were pip installed, it is confusing for pyexcel on which plugin to handle the file format. For example, both pyexcel-xlsx and pyexcel-xls reads xlsx format. Now since version 0.2.2, you can pass on `library="pyexcel-xls"` to handle xlsx in a specific function call. It is better to uninstall the unwanted pyexcel plugin using pip if two plugins for the same file type are not absolutely necessary. Cookbook ========== .. autosummary:: :toctree: generated/ merge_csv_to_a_book merge_all_to_a_book split_a_book extract_a_sheet_from_a_book Book ===== Here's the entity relationship between Book, Sheet, Row and Column .. image:: entity-relationship-diagram.png Constructor ------------ .. autosummary:: :toctree: generated/ Book Attribute ------------ .. autosummary:: :toctree: generated/ Book.number_of_sheets Book.sheet_names Conversions ------------- .. autosummary:: :toctree: generated/ Book.bookdict Book.url Book.csv Book.tsv Book.csvz Book.tsvz Book.xls Book.xlsm Book.xlsx Book.ods Book.stream Save changes ------------- .. autosummary:: :toctree: generated/ Book.save_as Book.save_to_memory Book.save_to_database Book.save_to_django_models Sheet ===== Constructor ----------- .. autosummary:: :toctree: generated/ Sheet Attributes ----------- .. autosummary:: :toctree: generated/ Sheet.content Sheet.number_of_rows Sheet.number_of_columns Sheet.row_range Sheet.column_range Cell access ------------------ .. autosummary:: :toctree: generated/ Sheet.cell_value Sheet.__getitem__ Row access ------------------ .. autosummary:: :toctree: generated/ Sheet.row_at Sheet.set_row_at Sheet.delete_rows Sheet.extend_rows Column access -------------- .. autosummary:: :toctree: generated/ Sheet.column_at Sheet.set_column_at Sheet.delete_columns Sheet.extend_columns Data series ------------ Any column as row name ************************ .. autosummary:: :toctree: generated/ Sheet.name_columns_by_row Sheet.rownames Sheet.named_column_at Sheet.set_named_column_at Sheet.delete_named_column_at Any row as column name ************************ .. autosummary:: :toctree: generated/ Sheet.name_rows_by_column Sheet.colnames Sheet.named_row_at Sheet.set_named_row_at Sheet.delete_named_row_at Conversion ------------- .. autosummary:: :toctree: generated/ Sheet.array Sheet.records Sheet.dict Sheet.url Sheet.csv Sheet.tsv Sheet.csvz Sheet.tsvz Sheet.xls Sheet.xlsm Sheet.xlsx Sheet.ods Sheet.stream Formatting ------------------ .. autosummary:: :toctree: generated/ Sheet.format Filtering ----------- .. autosummary:: :toctree: generated/ Sheet.filter Transformation ---------------- .. autosummary:: :toctree: generated/ Sheet.project Sheet.transpose Sheet.map Sheet.region Sheet.cut Sheet.paste Save changes -------------- .. autosummary:: :toctree: generated/ Sheet.save_as Sheet.save_to_memory Sheet.save_to_database Sheet.save_to_django_model pyexcel-0.7.0/docs/source/architecture.rst000066400000000000000000000025361420202037400206330ustar00rootroot00000000000000Architecture =============== **pyexcel** uses loosely couple plugins to fullfil the promise to access various file formats. **lml** is the plugin management library that provide the specialized support for the loose coupling. What is loose coupling? ------------------------- The components of **pyexcel** is designed as building blocks. For your project, you can cherry-pick the file format support without affecting the core functionality of pyexcel. Each plugin will bring in additional dependences. For example, if you choose pyexcel-xls, xlrd and xlwt will be brought in as 2nd level depndencies. Looking at the following architectural diagram, pyexcel hosts plugin interfaces for data source, data renderer and data parser. pyexcel-pygal, pyexcel-matplotlib, and pyexcel-handsontable extend pyexcel using data renderer interface. pyexcel-io package takes away the responsibilities to interface with excel libraries, for example: xlrd, openpyxl, ezodf. As in :ref:`a-map-of-plugins-and-file-formats`, there are overlapping capabilities in reading and writing xlsx, ods files. Because each third parties express different personalities although they may read and write data in the same file format, you as the pyexcel is left to pick which suit your task best. Dotted arrow means the package or module is loaded later. .. image:: _static/images/architecture.svg pyexcel-0.7.0/docs/source/attributes.rst000066400000000000000000000162041420202037400203340ustar00rootroot00000000000000Dot notation for data source ================================================================================ Since version 0.3.0, the data source becomes an attribute of the pyexcel native classes. All support data format is a dot notation away. For sheet -------------------------------------------------------------------------------- Get content ************ .. code-block:: python >>> import pyexcel >>> content = "1,2,3\n3,4,5" >>> sheet = pyexcel.get_sheet(file_type="csv", file_content=content) >>> sheet.tsv '1\t2\t3\r\n3\t4\t5\r\n' >>> print(sheet.simple) csv: - - - 1 2 3 3 4 5 - - - What's more, you could as well set value to an attribute, for example: .. code-block:: python >>> import pyexcel >>> content = "1,2,3\n3,4,5" >>> sheet = pyexcel.Sheet() >>> sheet.csv = content >>> sheet.array [[1, 2, 3], [3, 4, 5]] You can get the direct access to underneath stream object. In some situation, it is desired. .. code-block:: python >>> stream = sheet.stream.tsv The returned stream object has tsv formatted content for reading. Set content ************ What you could further do is to set a memory stream of any supported file format to a sheet. For example: >>> another_sheet = pyexcel.Sheet() >>> another_sheet.xls = sheet.xls >>> another_sheet.content +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 3 | 4 | 5 | +---+---+---+ Yet, it is possible assign a absolute url to an online excel file to an instance of :class:`pyexcel.Sheet`. .. testcode:: :hide: >>> from unittest.mock import patch, MagicMock >>> import os >>> patcher = patch('pyexcel._compact.request.urlopen') >>> fake_url_open = patcher.start() >>> response = MagicMock() >>> response.type.return_value = 'application/vnd.ms-excel' >>> method = MagicMock() >>> xls_file = open(os.path.join("examples", "basics", "multiple-sheets-example.xls"), 'rb') >>> method.info.return_value = response >>> method.read.return_value = xls_file.read() >>> fake_url_open.return_value = method >>> xls_file.close() .. code-block:: python >>> another_sheet.url = "https://github.com/pyexcel/pyexcel/raw/master/examples/basics/multiple-sheets-example.xls" >>> another_sheet.content +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ .. testcode:: :hide: >>> patcher.stop() # doctest: +SKIP For book -------------------------------------------------------------------------------- The same dot notation is available to :class:`pyexcel.Book` as well. Get content ************ .. code-block:: python >>> book_dict = { ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ], ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ] ... } >>> book = pyexcel.get_book(bookdict=book_dict) >>> book Sheet 1: +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ | 7.0 | 8.0 | 9.0 | +-----+-----+-----+ Sheet 2: +-----+-----+-----+ | X | Y | Z | +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ Sheet 3: +-----+-----+-----+ | O | P | Q | +-----+-----+-----+ | 3.0 | 2.0 | 1.0 | +-----+-----+-----+ | 4.0 | 3.0 | 2.0 | +-----+-----+-----+ >>> print(book.rst) Sheet 1: = = = 1 2 3 4 5 6 7 8 9 = = = Sheet 2: === === === X Y Z 1.0 2.0 3.0 4.0 5.0 6.0 === === === Sheet 3: === === === O P Q 3.0 2.0 1.0 4.0 3.0 2.0 === === === You can get the direct access to underneath stream object. In some situation, it is desired. .. code-block:: python >>> stream = sheet.stream.plain The returned stream object has the content formatted in plain format for further reading. Set content ************ Surely, you could set content to an instance of :class:`pyexcel.Book`. .. code-block:: python >>> other_book = pyexcel.Book() >>> other_book.bookdict = book_dict >>> print(other_book.plain) Sheet 1: 1 2 3 4 5 6 7 8 9 Sheet 2: X Y Z 1.0 2.0 3.0 4.0 5.0 6.0 Sheet 3: O P Q 3.0 2.0 1.0 4.0 3.0 2.0 You can set via 'xls' attribute too. .. code-block:: python >>> another_book = pyexcel.Book() >>> another_book.xls = other_book.xls >>> print(another_book.mediawiki) Sheet 1: {| class="wikitable" style="text-align: left;" |+ |- | align="right"| 1 || align="right"| 2 || align="right"| 3 |- | align="right"| 4 || align="right"| 5 || align="right"| 6 |- | align="right"| 7 || align="right"| 8 || align="right"| 9 |} Sheet 2: {| class="wikitable" style="text-align: left;" |+ |- | X || Y || Z |- | 1 || 2 || 3 |- | 4 || 5 || 6 |} Sheet 3: {| class="wikitable" style="text-align: left;" |+ |- | O || P || Q |- | 3 || 2 || 1 |- | 4 || 3 || 2 |} How about setting content via a url? .. testcode:: :hide: >>> from unittest.mock import patch, MagicMock >>> import os >>> patcher = patch('pyexcel._compact.request.urlopen') >>> fake_url_open = patcher.start() >>> response = MagicMock() >>> response.type.return_value = 'application/vnd.ms-excel' >>> method = MagicMock() >>> xls_file = open(os.path.join("examples", "basics", "multiple-sheets-example.xls"), 'rb') >>> method.info.return_value = response >>> method.read.return_value = xls_file.read() >>> fake_url_open.return_value = method >>> xls_file.close() .. code-block:: python >>> another_book.url = "https://github.com/pyexcel/pyexcel/raw/master/examples/basics/multiple-sheets-example.xls" >>> another_book Sheet 1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ Sheet 2: +---+---+---+ | X | Y | Z | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ Sheet 3: +---+---+---+ | O | P | Q | +---+---+---+ | 3 | 2 | 1 | +---+---+---+ | 4 | 3 | 2 | +---+---+---+ .. testcode:: :hide: >>> patcher.stop() # doctest: +SKIP Getters and Setters ---------------------------------- You can pass on source specific parameters to getter and setter functions. .. code-block:: python >>> content = "1-2-3\n3-4-5" >>> sheet = pyexcel.Sheet() >>> sheet.set_csv(content, delimiter="-") >>> sheet.csv '1,2,3\r\n3,4,5\r\n' >>> sheet.get_csv(delimiter="|") '1|2|3\r\n3|4|5\r\n' pyexcel-0.7.0/docs/source/bigdata.rst000066400000000000000000000114561420202037400175450ustar00rootroot00000000000000================================================================================ Read partial data ================================================================================ When you are dealing with huge amount of data, e.g. 64GB, obviously you would not like to fill up your memory with those data. What you may want to do is, record data from Nth line, take M records and stop. And you only want to use your memory for the M records, not for beginning part nor for the tail part. Hence partial read feature is developed to read partial data into memory for processing. You can paginate by row, by column and by both, hence you dictate what portion of the data to read back. But remember only row limit features help you save memory. Let's you use this feature to record data from Nth column, take M number of columns and skip the rest. You are not going to reduce your memory footprint. Why did not I see above benefit? -------------------------------------------------------------------------------- This feature depends heavily on the implementation details. `pyexcel-xls`_ (xlrd), `pyexcel-xlsx`_ (openpyxl), `pyexcel-ods`_ (odfpy) and `pyexcel-ods3`_ (pyexcel-ezodf) will read all data into memory. Because xls, xlsx and ods file are effective a zipped folder, all four will unzip the folder and read the content in xml format in **full**, so as to make sense of all details. Hence, during the partial data is been returned, the memory consumption won't differ from reading the whole data back. Only after the partial data is returned, the memory comsumption curve shall jump the cliff. So pagination code here only limits the data returned to your program. With that said, `pyexcel-xlsxr`_, `pyexcel-odsr`_ and `pyexcel-htmlr`_ DOES read partial data into memory. Those three are implemented in such a way that they consume the xml(html) when needed. When they have read designated portion of the data, they stop, even if they are half way through. In addition, pyexcel's csv readers can read partial data into memory too. Let's assume the following file is a huge csv file: .. code-block:: python >>> import datetime >>> import pyexcel as pe >>> data = [ ... [1, 21, 31], ... [2, 22, 32], ... [3, 23, 33], ... [4, 24, 34], ... [5, 25, 35], ... [6, 26, 36] ... ] >>> pe.save_as(array=data, dest_file_name="your_file.csv") And let's pretend to read partial data: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_row=2, row_limit=3) your_file.csv: +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ And you could as well do the same for columns: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_column=1, column_limit=2) your_file.csv: +----+----+ | 21 | 31 | +----+----+ | 22 | 32 | +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ | 26 | 36 | +----+----+ Obvious, you could do both at the same time: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", ... start_row=2, row_limit=3, ... start_column=1, column_limit=2) your_file.csv: +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ The pagination support is available across all pyexcel plugins. .. note:: No column pagination support for query sets as data source. Formatting while transcoding a big data file -------------------------------------------------------------------------------- If you are transcoding a big data set, conventional formatting method would not help unless a on-demand free RAM is available. However, there is a way to minimize the memory footprint of pyexcel while the formatting is performed. Let's continue from previous example. Suppose we want to transcode "your_file.csv" to "your_file.xls" but increase each element by 1. What we can do is to define a row renderer function as the following: .. code-block:: python >>> def increment_by_one(row): ... for element in row: ... yield element + 1 Then pass it onto save_as function using row_renderer: .. code-block:: python >>> pe.isave_as(file_name="your_file.csv", ... row_renderer=increment_by_one, ... dest_file_name="your_file.xlsx") .. note:: If the data content is from a generator, isave_as has to be used. We can verify if it was done correctly: .. code-block:: python >>> pe.get_sheet(file_name="your_file.xlsx") your_file.csv: +---+----+----+ | 2 | 22 | 32 | +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ | 6 | 26 | 36 | +---+----+----+ | 7 | 27 | 37 | +---+----+----+ pyexcel-0.7.0/docs/source/book.rst000066400000000000000000000263501420202037400171030ustar00rootroot00000000000000Book ========= You access each cell via this syntax:: book[sheet_index][row, column] or:: book["sheet_name"][row, column] Suppose you have the following sheets: .. pyexcel-table:: ---pyexcel:Sheet 1--- 1,2,3 4,5,6 7,8,9 ---pyexcel--- ---pyexcel:Sheet 2--- X,Y,Z 1,2,3 4,5,6 ---pyexcel--- ---pyexcel:Sheet 3--- O,P,Q 3,2,1 4,3,2 .. testcode:: :hide: >>> import pyexcel >>> data = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = pyexcel.Book(data) >>> book.save_as("example.xls") And you can randomly access a cell in a sheet:: >>> book = pyexcel.get_book(file_name="example.xls") >>> print(book["Sheet 1"][0,0]) 1 >>> print(book[0][0,0]) # the same cell 1 .. TIP:: With pyexcel, you can regard single sheet as an two dimensional array and multi-sheet excel book as an ordered dictionary of two dimensional arrays. **Write multiple sheet excel book** Suppose you have previous data as a dictionary and you want to save it as multiple sheet excel file:: >>> content = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = pyexcel.get_book(bookdict=content) >>> book.save_as("output.xls") You shall get a xls file **Read multiple sheet excel file** Let's read the previous file back: >>> book = pyexcel.get_book(file_name="output.xls") >>> sheets = book.to_dict() >>> for name in sheets.keys(): ... print(name) Sheet 1 Sheet 2 Sheet 3 Get content ************ .. code-block:: python >>> book_dict = { ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ], ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ] ... } >>> book = pyexcel.get_book(bookdict=book_dict) >>> book Sheet 1: +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ | 7.0 | 8.0 | 9.0 | +-----+-----+-----+ Sheet 2: +-----+-----+-----+ | X | Y | Z | +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ Sheet 3: +-----+-----+-----+ | O | P | Q | +-----+-----+-----+ | 3.0 | 2.0 | 1.0 | +-----+-----+-----+ | 4.0 | 3.0 | 2.0 | +-----+-----+-----+ >>> print(book.rst) Sheet 1: = = = 1 2 3 4 5 6 7 8 9 = = = Sheet 2: === === === X Y Z 1.0 2.0 3.0 4.0 5.0 6.0 === === === Sheet 3: === === === O P Q 3.0 2.0 1.0 4.0 3.0 2.0 === === === You can get the direct access to underneath stream object. In some situation, it is desired. .. code-block:: python >>> stream = book.stream.plain The returned stream object has the content formatted in plain format for further reading. Set content ************ Surely, you could set content to an instance of :class:`pyexcel.Book`. .. code-block:: python >>> other_book = pyexcel.Book() >>> other_book.bookdict = book_dict >>> print(other_book.plain) Sheet 1: 1 2 3 4 5 6 7 8 9 Sheet 2: X Y Z 1.0 2.0 3.0 4.0 5.0 6.0 Sheet 3: O P Q 3.0 2.0 1.0 4.0 3.0 2.0 You can set via 'xls' attribute too. .. code-block:: python >>> another_book = pyexcel.Book() >>> another_book.xls = other_book.xls >>> print(another_book.mediawiki) Sheet 1: {| class="wikitable" style="text-align: left;" |+ |- | align="right"| 1 || align="right"| 2 || align="right"| 3 |- | align="right"| 4 || align="right"| 5 || align="right"| 6 |- | align="right"| 7 || align="right"| 8 || align="right"| 9 |} Sheet 2: {| class="wikitable" style="text-align: left;" |+ |- | X || Y || Z |- | 1 || 2 || 3 |- | 4 || 5 || 6 |} Sheet 3: {| class="wikitable" style="text-align: left;" |+ |- | O || P || Q |- | 3 || 2 || 1 |- | 4 || 3 || 2 |} Access to individual sheets ----------------------------- .. testcode:: :hide: >>> import pyexcel >>> data = { ... 'sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'sheet2': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ], ... 'sheet3': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ] ... } >>> pyexcel.save_book_as(bookdict=data, dest_file_name="book.xls") You can access individual sheet of a book via attribute: >>> book = pyexcel.get_book(file_name="book.xls") >>> book.sheet3 sheet3: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ or via array notations: >>> book["sheet 1"] # there is a space in the sheet name sheet 1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ Merge excel books ---------------------- Suppose you have two excel books and each had three sheets. You can merge them and get a new book: .. testcode:: :hide: >>> data = { ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ], ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ] ... } >>> book = pyexcel.Book(data) >>> book.save_as("book1.xls") >>> book.save_as("book2.xlsx") You also can merge individual sheets:: >>> book1 = pyexcel.get_book(file_name="book1.xls") >>> book2 = pyexcel.get_book(file_name="book2.xlsx") >>> merged_book = book1 + book2 >>> merged_book = book1["Sheet 1"] + book2["Sheet 2"] >>> merged_book = book1["Sheet 1"] + book2 >>> merged_book = book1 + book2["Sheet 2"] Manipulate individual sheets ----------------------------- merge sheets into a single sheet ********************************* Suppose you want to merge many csv files row by row into a new sheet. >>> import glob >>> merged = pyexcel.Sheet() >>> for file in glob.glob("*.csv"): ... merged.row += pyexcel.get_sheet(file_name=file) >>> merged.save_as("merged.csv") How do I read a book, process it and save to a new book -------------------------------------------------------------------------------- Yes, you can do that. The code looks like this:: import pyexcel book = pyexcel.get_book(file_name="yourfile.xls") for sheet in book: # do you processing with sheet # do filtering? pass book.save_as("output.xls") What would happen if I save a multi sheet book into "csv" file -------------------------------------------------------------------------------- Well, you will get one csv file per each sheet. Suppose you have these code: .. code-block:: python >>> content = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = pyexcel.Book(content) >>> book.save_as("myfile.csv") You will end up with three csv files: .. code-block:: python >>> import glob >>> outputfiles = glob.glob("myfile_*.csv") >>> for file in sorted(outputfiles): ... print(file) ... myfile__Sheet 1__0.csv myfile__Sheet 2__1.csv myfile__Sheet 3__2.csv and their content is the value of the dictionary at the corresponding key .. testcode:: :hide: >>> import os >>> os.unlink("myfile__Sheet 1__0.csv") >>> os.unlink("myfile__Sheet 2__1.csv") >>> os.unlink("myfile__Sheet 3__2.csv") Alternatively, you could use :meth:`~pyexcel.save_book_as` function .. code-block:: python >>> pyexcel.save_book_as(bookdict=content, dest_file_name="myfile.csv") After I have saved my multiple sheet book in csv format, how do I get them back -------------------------------------------------------------------------------- First of all, you can read them back individual as csv file using `meth:~pyexcel.get_sheet` method. Secondly, the pyexcel can do the magic to load all of them back into a book. You will just need to provide the common name before the separator "__": .. code-block:: python >>> book2 = pyexcel.get_book(file_name="myfile.csv") >>> book2 Sheet 1: +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ | 7.0 | 8.0 | 9.0 | +-----+-----+-----+ Sheet 2: +-----+-----+-----+ | X | Y | Z | +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ Sheet 3: +-----+-----+-----+ | O | P | Q | +-----+-----+-----+ | 3.0 | 2.0 | 1.0 | +-----+-----+-----+ | 4.0 | 3.0 | 2.0 | +-----+-----+-----+ .. testcode:: :hide: >>> import os >>> os.unlink("myfile__Sheet 1__0.csv") >>> os.unlink("myfile__Sheet 2__1.csv") >>> os.unlink("myfile__Sheet 3__2.csv") >>> os.unlink("book.xls") >>> os.unlink("book1.xls") >>> os.unlink("book2.xlsx") >>> os.unlink("merged.csv") >>> os.unlink("output.xls") pyexcel-0.7.0/docs/source/capability.rst000066400000000000000000000145761420202037400203010ustar00rootroot00000000000000Signature functions ================================================================================ Import data into Python -------------------------------------------------------------------------------- This library provides one application programming interface to read data from one of the following data sources: * physical file * memory file * SQLAlchemy table * Django Model * Python data structures: dictionary, records and array and to transform them into one of the following data structures: * two dimensional array * a dictionary of one dimensional arrays * a list of dictionaries * a dictionary of two dimensional arrays * a :class:`~pyexcel.Sheet` * a :class:`~pyexcel.Book` Four data access functions ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Python data can be handled well using lists, dictionaries and various mixture of both. This library provides four module level functions to help you obtain excel data in these data structures. Please refer to "A list of module level functions", the first three functions operates on any one sheet from an excel book and the fourth one returns all data in all sheets in an excel book. .. table:: A list of module level functions =============================== ======================================= ================================ Functions Name Python name =============================== ======================================= ================================ :meth:`~pyexcel.get_array` two dimensional array a list of lists :meth:`~pyexcel.get_dict` a dictionary of one dimensional arrays an ordered dictionary of lists :meth:`~pyexcel.get_records` a list of dictionaries a list of dictionaries :meth:`~pyexcel.get_book_dict` a dictionary of two dimensional arrays a dictionary of lists of lists =============================== ======================================= ================================ See also: * :ref:`get_an_array_from_an_excel_sheet` * :ref:`get_a_dict_from_an_excel_sheet` * :ref:`get_records_from_an_excel_sheet` * :ref:`get_an_book_dict_from_an_excel_book` The following two variants of the data access function use generator and should work well with big data files .. table:: A list of variant functions =============================== ======================================= ================================ Functions Name Python name =============================== ======================================= ================================ :meth:`~pyexcel.iget_array` a memory efficient two dimensional a generator of a list of lists array :meth:`~pyexcel.iget_records` a memory efficient list a generator of list of dictionaries a list of dictionaries =============================== ======================================= ================================ However, you will need to call :meth:`~pyexcel.free_resource` to make sure file handles are closed. Two pyexcel functions ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ In cases where the excel data needs custom manipulations, a pyexcel user got a few choices: one is to use :class:`~pyexcel.Sheet` and :class:`~pyexcel.Book`, the other is to look for more sophisticated ones: * Pandas, for numerical analysis * Do-it-yourself =============================== ================================ Functions Returns =============================== ================================ :meth:`~pyexcel.get_sheet` :class:`~pyexcel.Sheet` :meth:`~pyexcel.get_book` :class:`~pyexcel.Book` =============================== ================================ For all six functions, you can pass on the same command parameters while the return value is what the function says. Export data from Python -------------------------------------------------------------------------------- This library provides one application programming interface to transform them into one of the data structures: * two dimensional array * a (ordered) dictionary of one dimensional arrays * a list of dictionaries * a dictionary of two dimensional arrays * a :class:`~pyexcel.Sheet` * a :class:`~pyexcel.Book` and write to one of the following data sources: * physical file * memory file * SQLAlchemy table * Django Model * Python data structures: dictionary, records and array Here are the two functions: =============================== ================================= Functions Description =============================== ================================= :meth:`~pyexcel.save_as` Works well with single sheet file :meth:`~pyexcel.isave_as` Works well with big data files :meth:`~pyexcel.save_book_as` Works with multiple sheet file and big data files :meth:`~pyexcel.isave_book_as` Works with multiple sheet file and big data files =============================== ================================= If you would only use these two functions to do format transcoding, you may enjoy a speed boost using :meth:`~pyexcel.isave_as` and :meth:`~pyexcel.isave_book_as`, because they use `yield` keyword and minimize memory footprint. However, you will need to call :meth:`~pyexcel.free_resource` to make sure file handles are closed. And :meth:`~pyexcel.save_as` and :meth:`~pyexcel.save_book_as` reads all data into memory and **will make all rows the same width**. See also: * :ref:`save_an_array_to_an_excel_sheet` * :ref:`save_an_book_dict_to_an_excel_book` * :ref:`save_an_array_to_a_csv_with_custom_delimiter` Data transportation/transcoding -------------------------------------------------------------------------------- This library is capable of transporting your data between any of the following data sources: * physical file * memory file * SQLAlchemy table * Django Model * Python data structures: dictionary, records and array See also: * :ref:`import_excel_sheet_into_a_database_table` * :ref:`save_a_xls_as_a_xlsx` * :ref:`save_a_xls_as_a_csv` pyexcel-0.7.0/docs/source/changelog.rst000066400000000000000000000000421420202037400200660ustar00rootroot00000000000000.. include:: ../../CHANGELOG.rst pyexcel-0.7.0/docs/source/coffee.csv000066400000000000000000000003541420202037400173570ustar00rootroot00000000000000Coffees,Serving Size,Caffeine (mg) Starbucks Coffee Blonde Roast,venti(20 oz),475 Dunkin' Donuts Coffee with Turbo Shot,large(20 oz.),398 Starbucks Coffee Pike Place Roast,grande(16 oz.),310 Panera Coffee Light Roast,regular(16 oz.),300pyexcel-0.7.0/docs/source/conf.py000066400000000000000000000063461420202037400167210ustar00rootroot00000000000000# -*- coding: utf-8 -*- DESCRIPTION = ( 'A wrapper library that provides one API to read, manipulate and write ' + 'data in different excel formats' + '' ) # Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # # import os # import sys # sys.path.insert(0, os.path.abspath('.')) # -- Project information ----------------------------------------------------- project = 'pyexcel' copyright = '2014-2022 Onni Software Ltd.' author = 'C.W.' # The short X.Y version version = '0.7.0' # The full version, including alpha/beta/rc tags release = '0.7.0' # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autosummary', 'sphinx.ext.autodoc', 'sphinx.ext.doctest', 'sphinx.ext.intersphinx', 'sphinx.ext.viewcode', 'sphinxcontrib.excel', 'sphinx_copybutton',] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = 'en' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = [] # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'alabaster' # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # -- Extension configuration ------------------------------------------------- # -- Options for intersphinx extension --------------------------------------- # Example configuration for intersphinx: refer to the Python standard library. intersphinx_mapping = {'https://docs.python.org/3/': None} # TODO: html_theme not configurable upstream html_theme = 'default' def setup(app): app.add_stylesheet('theme_overrides.css') # TODO: DESCRIPTION not configurable upstream texinfo_documents = [ ('index', 'pyexcel', 'pyexcel Documentation', 'Onni Software Ltd.', 'pyexcel', DESCRIPTION, 'Miscellaneous'), ] intersphinx_mapping.update({ 'xlrd': ('http://xlrd.readthedocs.io/en/latest/', None) }) master_doc = "index" pyexcel-0.7.0/docs/source/cookbook.rst000066400000000000000000000253641420202037400177630ustar00rootroot00000000000000Recipes ========= .. WARNING:: The pyexcel DOES NOT consider Fonts, Styles and Charts at all. In the resulting excel files, fonts, styles and charts will not be transferred. These recipes give a one-stop utility functions for known use cases. Similar functionality can be achieved using other application interfaces. Update one column of a data file --------------------------------- Suppose you have one data file as the following: example.xls ======== ======== ======== Column 1 Column 2 Column 3 ======== ======== ======== 1 4 7 2 5 8 3 6 9 ======== ======== ======== .. testcode:: :hide: >>> import pyexcel >>> # please make sure pyexcel-xls is pip-installed >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 4, 7], ... [2, 5, 8], ... [3, 6, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") And you want to update ``Column 2`` with these data: [11, 12, 13] Here is the code:: >>> from pyexcel.cookbook import update_columns >>> custom_column = {"Column 2":[11, 12, 13]} >>> update_columns("example.xls", custom_column, "output.xls") Your output.xls will have these data: ======== ======== ======== Column 1 Column 2 Column 3 ======== ======== ======== 1 11 7 2 12 8 3 13 9 ======== ======== ======== .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") >>> os.unlink("output.xls") Update one row of a data file --------------------------------- Suppose you have the same data file: example.xls ===== = = = Row 1 1 2 3 Row 2 4 5 6 Row 3 7 8 9 ===== = = = .. testcode:: :hide: >>> import pyexcel >>> data = [ ... ["Row 1", 1, 2, 3], ... ["Row 2", 4, 5, 6], ... ["Row 3", 7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") And you want to update the second row with these data: [7, 4, 1] Here is the code:: >>> from pyexcel.cookbook import update_rows >>> custom_row = {"Row 1":[11, 12, 13]} >>> update_rows("example.xls", custom_row, "output.xls") >>> pyexcel.get_sheet(file_name="output.xls") pyexcel sheet: +-------+----+----+----+ | Row 1 | 11 | 12 | 13 | +-------+----+----+----+ | Row 2 | 4 | 5 | 6 | +-------+----+----+----+ | Row 3 | 7 | 8 | 9 | +-------+----+----+----+ .. testcode:: :hide: >>> os.unlink("example.xls") >>> os.unlink("output.xls") Merge two files into one ------------------------- Suppose you want to merge the following two data files: example.csv ======== ======== ======== Column 1 Column 2 Column 3 ======== ======== ======== 1 4 7 2 5 8 3 6 9 ======== ======== ======== example.xls ======== ======== Column 4 Column 5 ======== ======== 10 12 11 13 ======== ======== .. testcode:: :hide: >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.csv") >>> data = [ ... ["Column 4", "Column 5"], ... [10, 12], ... [11, 13] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") The following code will merge the tow into one file, say "output.xls":: >>> from pyexcel.cookbook import merge_two_files >>> merge_two_files("example.csv", "example.xls", "output.xls") The output.xls would have the following data: ======== ======== ======== ======== ======== Column 1 Column 2 Column 3 Column 4 Column 5 ======== ======== ======== ======== ======== 1 4 7 10 12 2 5 8 11 13 3 6 9 ======== ======== ======== ======== ======== .. testcode:: :hide: >>> os.unlink("example.csv") >>> os.unlink("example.xls") >>> os.unlink("output.xls") Select candidate columns of two files and form a new one -------------------------------------------------------- Suppose you have these two files: example.ods ======== ======== ======== ======== ======== Column 1 Column 2 Column 3 Column 4 Column 5 ======== ======== ======== ======== ======== 1 4 7 10 13 2 5 8 11 14 3 6 9 12 15 ======== ======== ======== ======== ======== example.xls ======== ======== ======== ======== ========= Column 6 Column 7 Column 8 Column 9 Column 10 ======== ======== ======== ======== ========= 16 17 18 19 20 ======== ======== ======== ======== ========= >>> data = [ ... ["Column 1", "Column 2", "Column 3", "Column 4", "Column 5"], ... [1, 4, 7, 10, 13], ... [2, 5, 8, 11, 14], ... [3, 6, 9, 12, 15] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.csv") >>> data = [ ... ["Column 6", "Column 7", "Column 8", "Column 9", "Column 10"], ... [16, 17, 18, 19, 20] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") And you want to filter out column 2 and 4 from example.ods, filter out column 6 and 7 and merge them: ======== ======== ======== ======== ======== ========= Column 1 Column 3 Column 5 Column 8 Column 9 Column 10 ======== ======== ======== ======== ======== ========= 1 7 13 18 19 20 2 8 14 3 9 15 ======== ======== ======== ======== ======== ========= The following code will do the job:: >>> from pyexcel.cookbook import merge_two_readers >>> sheet1 = pyexcel.get_sheet(file_name="example.csv", name_columns_by_row=0) >>> sheet2 = pyexcel.get_sheet(file_name="example.xls", name_columns_by_row=0) >>> del sheet1.column[1, 3, 5] >>> del sheet2.column[0, 1] >>> merge_two_readers(sheet1, sheet2, "output.xls") .. testcode:: :hide: >>> sheet3 = pyexcel.get_sheet(file_name="output.xls", name_columns_by_row=0) >>> [str(name) for name in sheet3.colnames] ['Column 1', 'Column 3', 'Column 5', 'Column 8', 'Column 9', 'Column 10'] >>> sheet3.column["Column 8"] [18, '', ''] >>> os.unlink("example.csv") >>> os.unlink("example.xls") >>> os.unlink("output.xls") Merge two files into a book where each file become a sheet ---------------------------------------------------------- Suppose you want to merge the following two data files: example.csv ======== ======== ======== Column 1 Column 2 Column 3 ======== ======== ======== 1 4 7 2 5 8 3 6 9 ======== ======== ======== example.xls ======== ======== Column 4 Column 5 ======== ======== 10 12 11 13 ======== ======== >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.csv") >>> data = [ ... ["Column 4", "Column 5"], ... [10, 12], ... [11, 13] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") The following code will merge the tow into one file, say "output.xls":: >>> from pyexcel.cookbook import merge_all_to_a_book >>> merge_all_to_a_book(["example.csv", "example.xls"], "output.xls") The output.xls would have the following data: `example.csv` as sheet name and inside the sheet, you have: ======== ======== ======== Column 1 Column 2 Column 3 ======== ======== ======== 1 4 7 2 5 8 3 6 9 ======== ======== ======== `example.ods` as sheet name and inside the sheet, you have: ======== ======== Column 4 Column 5 ======== ======== 10 12 11 13 ======== ======== .. testcode:: :hide: >>> book = pyexcel.get_book(file_name="output.xls") >>> [str(name) for name in book.sheet_names()] ['example.csv', 'example.xls'] >>> os.unlink("example.csv") >>> os.unlink("example.xls") >>> os.unlink("output.xls") Merge all excel files in directory into a book where each file become a sheet ------------------------------------------------------------------------------ The following code will merge every excel files into one file, say "output.xls":: from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_csv_directory\*.csv"), "output.xls") You can mix and match with other excel formats: xls, xlsm and ods. For example, if you are sure you have only xls, xlsm, xlsx, ods and csv files in `your_excel_file_directory`, you can do the following:: from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_excel_file_directory\*.*"), "output.xls") Split a book into single sheet files ------------------------------------- .. testcode:: :hide: >>> content = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = pyexcel.Book(content) >>> book.save_as("megabook.xls") Suppose you have many sheets in a work book and you would like to separate each into a single sheet excel file. You can easily do this:: >>> from pyexcel.cookbook import split_a_book >>> split_a_book("megabook.xls", "output.xls") >>> import glob >>> outputfiles = glob.glob("*_output.xls") >>> for file in sorted(outputfiles): ... print(file) ... Sheet 1_output.xls Sheet 2_output.xls Sheet 3_output.xls for the output file, you can specify any of the supported formats .. testcode:: :hide: >>> os.unlink("Sheet 1_output.xls") >>> os.unlink("Sheet 2_output.xls") >>> os.unlink("Sheet 3_output.xls") Extract just one sheet from a book ----------------------------------- Suppose you just want to extract one sheet from many sheets that exists in a work book and you would like to separate it into a single sheet excel file. You can easily do this:: >>> from pyexcel.cookbook import extract_a_sheet_from_a_book >>> extract_a_sheet_from_a_book("megabook.xls", "Sheet 1", "output.xls") >>> if os.path.exists("Sheet 1_output.xls"): ... print("Sheet 1_output.xls exists") ... Sheet 1_output.xls exists for the output file, you can specify any of the supported formats .. testcode:: :hide: >>> os.unlink("Sheet 1_output.xls") >>> os.unlink("megabook.xls") pyexcel-0.7.0/docs/source/database.rst000066400000000000000000000043671420202037400177210ustar00rootroot00000000000000Working with databases ======================= How to import an excel sheet to a database using SQLAlchemy ----------------------------------------------------------- .. NOTE:: You can find the complete code of this example in examples folder on github Before going ahead, let's import the needed components and initialize sql engine and table base:: >>> import os >>> import pyexcel as p >>> from sqlalchemy import create_engine >>> from sqlalchemy.ext.declarative import declarative_base >>> from sqlalchemy import Column , Integer, String, Float, Date >>> from sqlalchemy.orm import sessionmaker >>> engine = create_engine("sqlite:///birth.db") >>> Base = declarative_base() >>> Session = sessionmaker(bind=engine) Let's suppose we have the following database model: >>> class BirthRegister(Base): ... __tablename__='birth' ... id=Column(Integer, primary_key=True) ... name=Column(String) ... weight=Column(Float) ... birth=Column(Date) Let's create the table:: >>> Base.metadata.create_all(engine) Now here is a sample excel file to be saved to the table: .. pyexcel-table:: ---pyexcel:data table--- name,weight,birth Adam,3.4,2015-02-03 Smith,4.2,2014-11-12 .. testcode:: :hide: >>> import datetime >>> data = [ ... ["name", "weight", "birth"], ... ["Adam", 3.4, datetime.date(2015, 2, 3)], ... ["Smith", 4.2, datetime.date(2014, 11, 12)] ... ] >>> p.save_as(array=data, dest_file_name="birth.xls") Here is the code to import it: >>> session = Session() # obtain a sql session >>> p.save_as(file_name="birth.xls", name_columns_by_row=0, dest_session=session, dest_table=BirthRegister) Done it. It is that simple. Let's verify what has been imported to make sure. >>> sheet = p.get_sheet(session=session, table=BirthRegister) >>> sheet birth: +------------+----+-------+--------+ | birth | id | name | weight | +------------+----+-------+--------+ | 2015-02-03 | 1 | Adam | 3.4 | +------------+----+-------+--------+ | 2014-11-12 | 2 | Smith | 4.2 | +------------+----+-------+--------+ .. testcode:: :hide: >>> session.close() >>> os.unlink('birth.xls') >>> os.unlink('birth.db') pyexcel-0.7.0/docs/source/design.rst000066400000000000000000000245311420202037400174210ustar00rootroot00000000000000Introduction ================================================================================ This section introduces Excel data models, its representing data structures and provides an overview of formatting, transformation, manipulation supported by **pyexcel**. Data models and data structures -------------------------------- When dealing with excel files, **pyexcel** pay attention to three primary objects: **cell**, **sheet** and **book**. A book contains one or more sheets and a sheet is consisted of a sheet name and a two dimensional array of cells. Although a sheet can contain charts and a cell can have formula, styling properties, this library ignores them and only pays attention to the data in the cell and its data type. So, in the context of this library, the definition of those three concepts are: ========= ======================================================== ======================= concept definition pyexcel data model ========= ======================================================== ======================= a cell is a data unit a Python data type a sheet is a named two dimensional array of data units :class:`~pyexcel.Sheet` a book is a dictionary of two dimensional array of data units. :class:`~pyexcel.Book` ========= ======================================================== ======================= Data source -------------------------------------------------------------------------------- A data source is a storage format of structured data. The most popular data source is an excel file. Libre Office/Microsoft Excel can easily be used to generate an excel file of your desired format. Besides a physical file, this library recognizes three additional types of source: #. Excel files in computer memory. For example: when a file is uploaded to a Python server for information processing. If it is relatively small, it can be stored in memory. #. Database tables. For example: a client would like to have a snapshot of some database table in an excel file and asks it to be sent to him. #. Python structures. For example: a developer may have scraped a site and have stored data in Python array or dictionary. He may want to save this information as a file. Reading from - and writing to - a data source is modelled as parsers and renderers in pyexcel. Excel data sources and database sources support read and write. Other data sources may only support read only, or write only methods. Here is a list of data sources: ========================== =========================== Data source Read and write properties ========================== =========================== Array Read and write Dictionary Same as above Records Same as above Excel files Same as above Excel files in memory Same as above Excel files on the web Read only Django models Read and write SQL models Read and write Database querysets Read only Textual sources Write only ========================== =========================== Data format -------------------------------------------------------------------------------- This library and its plugins support most of the frequently used excel file formats. ============ ======================================================= file format definition ============ ======================================================= csv comma separated values tsv tab separated values csvz a zip file that contains one or many csv files tsvz a zip file that contains one or many tsv files xls a spreadsheet file format created by MS-Excel 97-2003 [#f1]_ xlsx MS-Excel Extensions to the Office Open XML SpreadsheetML File Format. [#f2]_ xlsm an MS-Excel Macro-Enabled Workbook file ods open document spreadsheet json java script object notation html html table of the data structure simple `simple` presentation rst rStructured Text presentation of the data mediawiki media wiki table ============ ======================================================= See also :ref:`a-map-of-plugins-and-file-formats`. Data transformation -------------------------------------------------------------------------------- Often a developer would like to have excel data imported into a Python data structure. This library supports the :ref:`conversions from` previous three data source to the following list of data structures, and :ref:`vice versa`. .. _a-list-of-data-structures: .. table:: A list of supported data structures ======================================= ================================ ========================= Pesudo name Python name Related model ======================================= ================================ ========================= two dimensional array a list of lists :class:`pyexcel.Sheet` a dictionary of key value pair a dictionary :class:`pyexcel.Sheet` a dictionary of one dimensional arrays a dictionary of lists :class:`pyexcel.Sheet` a list of dictionaries a list of dictionaries :class:`pyexcel.Sheet` a dictionary of two dimensional arrays a dictionary of lists of lists :class:`pyexcel.Book` ======================================= ================================ ========================= Data manipulation -------------------------------------------------------------------------------- The main operation on a cell involves :ref:`cell access`, :ref:`formatting` and :ref:`cleansing`. The main operation on a sheet involves group access to a row or a column; data filtering; and data transformation. The main operation in a book is obtain access to individual sheets. Data transcoding -------------------------------------------------------------------------------- For various reasons the data in one format needs to be transcoded into another. This library provides a transcoding tunnel for data transcoding between supported file formats. Data visualization -------------------------------------------------------------------------------- Via :class:`pyexcel.renderer.AbstractRenderer` interface, data visualization is made possible. **pyexcel-chart** is the interface plugin to formalize this effort. **pyexcel-pygal** is the first plugin to provide bar, pie, histogram charts and more. Examples of supported data structure -------------------------------------------------------------------------------- Here is a list of examples:: >>> import pyexcel as p >>> two_dimensional_list = [ ... [1, 2, 3, 4], ... [5, 6, 7, 8], ... [9, 10, 11, 12], ... ] >>> p.get_sheet(array=two_dimensional_list) pyexcel_sheet1: +---+----+----+----+ | 1 | 2 | 3 | 4 | +---+----+----+----+ | 5 | 6 | 7 | 8 | +---+----+----+----+ | 9 | 10 | 11 | 12 | +---+----+----+----+ >>> a_dictionary_of_key_value_pair = { ... "IE": 0.2, ... "Firefox": 0.3 ... } >>> p.get_sheet(adict=a_dictionary_of_key_value_pair) pyexcel_sheet1: +---------+-----+ | Firefox | IE | +---------+-----+ | 0.3 | 0.2 | +---------+-----+ >>> a_dictionary_of_one_dimensional_arrays = { ... "Column 1": [1, 2, 3, 4], ... "Column 2": [5, 6, 7, 8], ... "Column 3": [9, 10, 11, 12], ... } >>> p.get_sheet(adict=a_dictionary_of_one_dimensional_arrays) pyexcel_sheet1: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 1 | 5 | 9 | +----------+----------+----------+ | 2 | 6 | 10 | +----------+----------+----------+ | 3 | 7 | 11 | +----------+----------+----------+ | 4 | 8 | 12 | +----------+----------+----------+ >>> a_list_of_dictionaries = [ ... { ... "Name": 'Adam', ... "Age": 28 ... }, ... { ... "Name": 'Beatrice', ... "Age": 29 ... }, ... { ... "Name": 'Ceri', ... "Age": 30 ... }, ... { ... "Name": 'Dean', ... "Age": 26 ... } ... ] >>> p.get_sheet(records=a_list_of_dictionaries) pyexcel_sheet1: +-----+----------+ | Age | Name | +-----+----------+ | 28 | Adam | +-----+----------+ | 29 | Beatrice | +-----+----------+ | 30 | Ceri | +-----+----------+ | 26 | Dean | +-----+----------+ >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> p.get_book(bookdict=a_dictionary_of_two_dimensional_arrays) Sheet 1: +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ | 7.0 | 8.0 | 9.0 | +-----+-----+-----+ Sheet 2: +-----+-----+-----+ | X | Y | Z | +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ Sheet 3: +-----+-----+-----+ | O | P | Q | +-----+-----+-----+ | 3.0 | 2.0 | 1.0 | +-----+-----+-----+ | 4.0 | 3.0 | 2.0 | +-----+-----+-----+ .. [#f1] quoted from `whatis.com `_. Technical details can be found at `MSDN XLS `_ .. [#f2] xlsx is used by MS-Excel 2007, more information can be found at `MSDN XLSX `_ pyexcel-0.7.0/docs/source/entity-relationship-diagram.dia000066400000000000000000000051261420202037400235110ustar00rootroot00000000000000‹ í]]oã¸}ϯÿ_”¦Ñ94:Ÿ|< ‚í–Q™÷êw£²,’ùmY´Ž/&óhñeUä·ÙrRµªÛ-ò4/‚¯Qz1ùpe_“óº›ó~žèû&ZÅó"Ž¾´wá¥õ)]ßÄÅ~·ë›|“@“òþæ IK?æÿ­6u« 4ÊV?ü•¨N©~㱯¦m)×Q±J²C¸6iu!(R”R¸B+%—äáš¼n>,\:,\1,\²¹¼É‹²ˆ’òržçiejYÜƧãlQ &öÔ°:Œâ*)Ëü™ó¿ŠÒÍ1¨Þþãn{é»*’åÓ7îN‹–^î’ey}ùÍÑåªz¿wÔû×d“ÌÓ¸é쓬ì­ûû~ºßÿv,{?~¼£5T½µÊÃRÅ"/—‡Õm²Œ7ϘÙn›–ž®ëfçÏ]õývÇ^˜ê­=±¶itu÷Ÿe:¨¿àšq‚hQ&_Ž¶®I>ÿo¼(ëÁ~Nó»ÅuT”ÁÁ§üÛäÑ $Y^L~Á»Wk|ÐáÁåºÉÿ°)&”bª÷/Á!´õ?Ÿïw_À¢l•ÆTLÒbÆ9Òð;шž†§ñúr‘Ù¡—ÐÛ¨,†e“Ñ=0‰Fàm½8ë€u'«ë²Œ`DÞz…§ÍóbÏ ÀjÂ5&$$´Ü.[4ð_š§a$Yv „!¤GJzÄæ:¿»lð¸Ÿw'^‚~D|¹)ïÓx În×Uïü´®o¢år×K9øÆO¼4eü­œ<#={mÚ.²õÕwÚí¹õ-NýJØæVåYÙdÞ®¢u’ÞÃùDÙfØïòmõÑÄé׸LѶ²¼ü î÷ÆïDáÝﺫM¬É1b†œ9¢²ÖþýØ:‹Ä¸¸ß«l7¡79¥QþÛ\˜óG½>]ÀIg]Åð­ñSõ8 WH ‹B@Ä 9ÈkNU¼ëÐŽrŠBÍ·•\¹rPÛ=ýö$é}èƧ<ÿâµcí€;U Æ…—Ža¤ƒv•"&™œìP9 m§C:%@„N¥£ëÐŽS ’¸u“‘!•ƒxåp­¿]Çqé¥Ã¹tHð- %¯ýhÇo@À˨X‚tü+Éâí`=h‡`ZZï™»‚¸Æ 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Book.bookdictpyexcel-0.7.0/docs/source/generated/pyexcel.Book.csv.rst000066400000000000000000000001321420202037400232310ustar00rootroot00000000000000pyexcel.Book.csv ================ .. currentmodule:: pyexcel .. autoattribute:: Book.csvpyexcel-0.7.0/docs/source/generated/pyexcel.Book.csvz.rst000066400000000000000000000001351420202037400234260ustar00rootroot00000000000000pyexcel.Book.csvz ================= .. currentmodule:: pyexcel .. autoattribute:: Book.csvzpyexcel-0.7.0/docs/source/generated/pyexcel.Book.number_of_sheets.rst000066400000000000000000000002021420202037400257630ustar00rootroot00000000000000pyexcel.Book.number\_of\_sheets =============================== .. currentmodule:: pyexcel .. automethod:: Book.number_of_sheetspyexcel-0.7.0/docs/source/generated/pyexcel.Book.ods.rst000066400000000000000000000001321420202037400232230ustar00rootroot00000000000000pyexcel.Book.ods ================ .. currentmodule:: pyexcel .. autoattribute:: Book.odspyexcel-0.7.0/docs/source/generated/pyexcel.Book.rst000066400000000000000000000051051420202037400224440ustar00rootroot00000000000000pyexcel.Book ============ .. currentmodule:: pyexcel .. autoclass:: Book .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~Book.__init__ ~Book.get_array ~Book.get_bookdict ~Book.get_csv ~Book.get_csvz ~Book.get_dict ~Book.get_fods ~Book.get_grid ~Book.get_handsontable ~Book.get_handsontable_html ~Book.get_html ~Book.get_json ~Book.get_latex ~Book.get_latex_booktabs ~Book.get_mediawiki ~Book.get_ndjson ~Book.get_ods ~Book.get_orgtbl ~Book.get_pipe ~Book.get_plain ~Book.get_records ~Book.get_rst ~Book.get_simple ~Book.get_svg ~Book.get_texttable ~Book.get_tsv ~Book.get_tsvz ~Book.get_url ~Book.get_xls ~Book.get_xlsm ~Book.get_xlsx ~Book.init ~Book.load_from_sheets ~Book.number_of_sheets ~Book.plot ~Book.register_input ~Book.register_io ~Book.register_presentation ~Book.remove_sheet ~Book.save_as ~Book.save_to_database ~Book.save_to_django_models ~Book.save_to_memory ~Book.set_array ~Book.set_bookdict ~Book.set_csv ~Book.set_csvz ~Book.set_dict ~Book.set_fods ~Book.set_grid ~Book.set_handsontable ~Book.set_handsontable_html ~Book.set_html ~Book.set_json ~Book.set_latex ~Book.set_latex_booktabs ~Book.set_mediawiki ~Book.set_ndjson ~Book.set_ods ~Book.set_orgtbl ~Book.set_pipe ~Book.set_plain ~Book.set_records ~Book.set_rst ~Book.set_simple ~Book.set_svg ~Book.set_texttable ~Book.set_tsv ~Book.set_tsvz ~Book.set_url ~Book.set_xls ~Book.set_xlsm ~Book.set_xlsx ~Book.sheet_by_index ~Book.sheet_by_name ~Book.sheet_names ~Book.sort_sheets ~Book.to_dict .. rubric:: Attributes .. autosummary:: ~Book.array ~Book.bookdict ~Book.csv ~Book.csvz ~Book.dict ~Book.fods ~Book.grid ~Book.handsontable ~Book.handsontable_html ~Book.html ~Book.json ~Book.latex ~Book.latex_booktabs ~Book.mediawiki ~Book.ndjson ~Book.ods ~Book.orgtbl ~Book.pipe ~Book.plain ~Book.records ~Book.rst ~Book.simple ~Book.stream ~Book.svg ~Book.texttable ~Book.tsv ~Book.tsvz ~Book.url ~Book.xls ~Book.xlsm ~Book.xlsx pyexcel-0.7.0/docs/source/generated/pyexcel.Book.save_as.rst000066400000000000000000000001451420202037400240630ustar00rootroot00000000000000pyexcel.Book.save\_as ===================== .. currentmodule:: pyexcel .. automethod:: Book.save_aspyexcel-0.7.0/docs/source/generated/pyexcel.Book.save_to_database.rst000066400000000000000000000002021420202037400257200ustar00rootroot00000000000000pyexcel.Book.save\_to\_database =============================== .. currentmodule:: pyexcel .. automethod:: Book.save_to_databasepyexcel-0.7.0/docs/source/generated/pyexcel.Book.save_to_django_models.rst000066400000000000000000000002231420202037400267640ustar00rootroot00000000000000pyexcel.Book.save\_to\_django\_models ===================================== .. currentmodule:: pyexcel .. automethod:: Book.save_to_django_modelspyexcel-0.7.0/docs/source/generated/pyexcel.Book.save_to_memory.rst000066400000000000000000000001741420202037400254740ustar00rootroot00000000000000pyexcel.Book.save\_to\_memory ============================= .. currentmodule:: pyexcel .. automethod:: Book.save_to_memorypyexcel-0.7.0/docs/source/generated/pyexcel.Book.sheet_names.rst000066400000000000000000000001611420202037400247330ustar00rootroot00000000000000pyexcel.Book.sheet\_names ========================= .. currentmodule:: pyexcel .. automethod:: Book.sheet_namespyexcel-0.7.0/docs/source/generated/pyexcel.Book.stream.rst000066400000000000000000000001431420202037400237330ustar00rootroot00000000000000pyexcel.Book.stream =================== .. currentmodule:: pyexcel .. autoattribute:: Book.streampyexcel-0.7.0/docs/source/generated/pyexcel.Book.tsv.rst000066400000000000000000000001321420202037400232520ustar00rootroot00000000000000pyexcel.Book.tsv ================ .. currentmodule:: pyexcel .. autoattribute:: Book.tsvpyexcel-0.7.0/docs/source/generated/pyexcel.Book.tsvz.rst000066400000000000000000000001351420202037400234470ustar00rootroot00000000000000pyexcel.Book.tsvz ================= .. currentmodule:: pyexcel .. autoattribute:: Book.tsvzpyexcel-0.7.0/docs/source/generated/pyexcel.Book.url.rst000066400000000000000000000001321420202037400232400ustar00rootroot00000000000000pyexcel.Book.url ================ .. currentmodule:: pyexcel .. autoattribute:: Book.urlpyexcel-0.7.0/docs/source/generated/pyexcel.Book.xls.rst000066400000000000000000000001321420202037400232440ustar00rootroot00000000000000pyexcel.Book.xls ================ .. currentmodule:: pyexcel .. autoattribute:: Book.xlspyexcel-0.7.0/docs/source/generated/pyexcel.Book.xlsm.rst000066400000000000000000000001351420202037400234240ustar00rootroot00000000000000pyexcel.Book.xlsm ================= .. currentmodule:: pyexcel .. autoattribute:: Book.xlsmpyexcel-0.7.0/docs/source/generated/pyexcel.Book.xlsx.rst000066400000000000000000000001351420202037400234370ustar00rootroot00000000000000pyexcel.Book.xlsx ================= .. currentmodule:: pyexcel .. autoattribute:: Book.xlsxpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.__getitem__.rst000066400000000000000000000001721420202037400250520ustar00rootroot00000000000000pyexcel.Sheet.\_\_getitem\_\_ ============================= .. currentmodule:: pyexcel .. automethod:: Sheet.__getitem__pyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.array.rst000066400000000000000000000001431420202037400237340ustar00rootroot00000000000000pyexcel.Sheet.array =================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.arraypyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.cell_value.rst000066400000000000000000000001611420202037400247310ustar00rootroot00000000000000pyexcel.Sheet.cell\_value ========================= .. currentmodule:: pyexcel .. automethod:: Sheet.cell_valuepyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.colnames.rst000066400000000000000000000001541420202037400244210ustar00rootroot00000000000000pyexcel.Sheet.colnames ====================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.colnamespyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.column_at.rst000066400000000000000000000001561420202037400246030ustar00rootroot00000000000000pyexcel.Sheet.column\_at ======================== .. currentmodule:: pyexcel .. automethod:: Sheet.column_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.column_range.rst000066400000000000000000000001671420202037400252750ustar00rootroot00000000000000pyexcel.Sheet.column\_range =========================== .. currentmodule:: pyexcel .. automethod:: Sheet.column_rangepyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.content.rst000066400000000000000000000001511420202037400242670ustar00rootroot00000000000000pyexcel.Sheet.content ===================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.contentpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.csv.rst000066400000000000000000000001351420202037400234120ustar00rootroot00000000000000pyexcel.Sheet.csv ================= .. currentmodule:: pyexcel .. autoattribute:: Sheet.csvpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.csvz.rst000066400000000000000000000001401420202037400236000ustar00rootroot00000000000000pyexcel.Sheet.csvz ================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.csvzpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.cut.rst000066400000000000000000000001321420202037400234070ustar00rootroot00000000000000pyexcel.Sheet.cut ================= .. currentmodule:: pyexcel .. automethod:: Sheet.cutpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.delete_columns.rst000066400000000000000000000001751420202037400256250ustar00rootroot00000000000000pyexcel.Sheet.delete\_columns ============================= .. currentmodule:: pyexcel .. automethod:: Sheet.delete_columnspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.delete_named_column_at.rst000066400000000000000000000002311420202037400272630ustar00rootroot00000000000000pyexcel.Sheet.delete\_named\_column\_at ======================================= .. currentmodule:: pyexcel .. automethod:: Sheet.delete_named_column_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.delete_named_row_at.rst000066400000000000000000000002201420202037400265730ustar00rootroot00000000000000pyexcel.Sheet.delete\_named\_row\_at ==================================== .. currentmodule:: pyexcel .. automethod:: Sheet.delete_named_row_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.delete_rows.rst000066400000000000000000000001641420202037400251350ustar00rootroot00000000000000pyexcel.Sheet.delete\_rows ========================== .. currentmodule:: pyexcel .. automethod:: Sheet.delete_rowspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.dict.rst000066400000000000000000000001401420202037400235360ustar00rootroot00000000000000pyexcel.Sheet.dict ================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.dictpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.extend_columns.rst000066400000000000000000000001751420202037400256520ustar00rootroot00000000000000pyexcel.Sheet.extend\_columns ============================= .. currentmodule:: pyexcel .. automethod:: Sheet.extend_columnspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.extend_rows.rst000066400000000000000000000001641420202037400251620ustar00rootroot00000000000000pyexcel.Sheet.extend\_rows ========================== .. currentmodule:: pyexcel .. automethod:: Sheet.extend_rowspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.filter.rst000066400000000000000000000001431420202037400241030ustar00rootroot00000000000000pyexcel.Sheet.filter ==================== .. currentmodule:: pyexcel .. automethod:: Sheet.filterpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.format.rst000066400000000000000000000001431420202037400241060ustar00rootroot00000000000000pyexcel.Sheet.format ==================== .. currentmodule:: pyexcel .. automethod:: Sheet.formatpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.map.rst000066400000000000000000000001321420202037400233710ustar00rootroot00000000000000pyexcel.Sheet.map ================= .. currentmodule:: pyexcel .. automethod:: Sheet.mappyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.name_columns_by_row.rst000066400000000000000000000002201420202037400266530ustar00rootroot00000000000000pyexcel.Sheet.name\_columns\_by\_row ==================================== .. currentmodule:: pyexcel .. automethod:: Sheet.name_columns_by_rowpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.name_rows_by_column.rst000066400000000000000000000002201420202037400266530ustar00rootroot00000000000000pyexcel.Sheet.name\_rows\_by\_column ==================================== .. currentmodule:: pyexcel .. automethod:: Sheet.name_rows_by_columnpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.named_column_at.rst000066400000000000000000000002021420202037400257370ustar00rootroot00000000000000pyexcel.Sheet.named\_column\_at =============================== .. currentmodule:: pyexcel .. automethod:: Sheet.named_column_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.named_row_at.rst000066400000000000000000000001711420202037400252560ustar00rootroot00000000000000pyexcel.Sheet.named\_row\_at ============================ .. currentmodule:: pyexcel .. automethod:: Sheet.named_row_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.number_of_columns.rst000066400000000000000000000002101420202037400263250ustar00rootroot00000000000000pyexcel.Sheet.number\_of\_columns ================================= .. currentmodule:: pyexcel .. automethod:: Sheet.number_of_columnspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.number_of_rows.rst000066400000000000000000000001771420202037400256530ustar00rootroot00000000000000pyexcel.Sheet.number\_of\_rows ============================== .. currentmodule:: pyexcel .. automethod:: Sheet.number_of_rowspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.ods.rst000066400000000000000000000001351420202037400234040ustar00rootroot00000000000000pyexcel.Sheet.ods ================= .. currentmodule:: pyexcel .. autoattribute:: Sheet.odspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.paste.rst000066400000000000000000000001401420202037400237270ustar00rootroot00000000000000pyexcel.Sheet.paste =================== .. currentmodule:: pyexcel .. automethod:: Sheet.pastepyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.project.rst000066400000000000000000000001461420202037400242670ustar00rootroot00000000000000pyexcel.Sheet.project ===================== .. currentmodule:: pyexcel .. automethod:: Sheet.projectpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.records.rst000066400000000000000000000001511420202037400242560ustar00rootroot00000000000000pyexcel.Sheet.records ===================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.recordspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.region.rst000066400000000000000000000001431420202037400241010ustar00rootroot00000000000000pyexcel.Sheet.region ==================== .. currentmodule:: pyexcel .. automethod:: Sheet.regionpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.row_at.rst000066400000000000000000000001451420202037400241130ustar00rootroot00000000000000pyexcel.Sheet.row\_at ===================== .. currentmodule:: pyexcel .. automethod:: Sheet.row_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.row_range.rst000066400000000000000000000001561420202037400246050ustar00rootroot00000000000000pyexcel.Sheet.row\_range ======================== .. currentmodule:: pyexcel .. automethod:: Sheet.row_rangepyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.rownames.rst000066400000000000000000000001541420202037400244530ustar00rootroot00000000000000pyexcel.Sheet.rownames ====================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.rownamespyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.rst000066400000000000000000000073361420202037400226320ustar00rootroot00000000000000pyexcel.Sheet ============= .. currentmodule:: pyexcel .. autoclass:: Sheet .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~Sheet.__init__ ~Sheet.cell_value ~Sheet.clone ~Sheet.column_at ~Sheet.column_range ~Sheet.columns ~Sheet.contains ~Sheet.cut ~Sheet.delete_columns ~Sheet.delete_named_column_at ~Sheet.delete_named_row_at ~Sheet.delete_rows ~Sheet.enumerate ~Sheet.extend_columns ~Sheet.extend_columns_with_rows ~Sheet.extend_rows ~Sheet.filter ~Sheet.format ~Sheet.get_array ~Sheet.get_bookdict ~Sheet.get_csv ~Sheet.get_csvz ~Sheet.get_dict ~Sheet.get_fods ~Sheet.get_grid ~Sheet.get_handsontable ~Sheet.get_handsontable_html ~Sheet.get_html ~Sheet.get_internal_array ~Sheet.get_json ~Sheet.get_latex ~Sheet.get_latex_booktabs ~Sheet.get_mediawiki ~Sheet.get_ndjson ~Sheet.get_ods ~Sheet.get_orgtbl ~Sheet.get_pipe ~Sheet.get_plain ~Sheet.get_records ~Sheet.get_rst ~Sheet.get_simple ~Sheet.get_svg ~Sheet.get_texttable ~Sheet.get_tsv ~Sheet.get_tsvz ~Sheet.get_url ~Sheet.get_xls ~Sheet.get_xlsm ~Sheet.get_xlsx ~Sheet.group_rows_by_column ~Sheet.init ~Sheet.map ~Sheet.name_columns_by_row ~Sheet.name_rows_by_column ~Sheet.named_column_at ~Sheet.named_columns ~Sheet.named_row_at ~Sheet.named_rows ~Sheet.number_of_columns ~Sheet.number_of_rows ~Sheet.paste ~Sheet.plot ~Sheet.project ~Sheet.rcolumns ~Sheet.region ~Sheet.register_input ~Sheet.register_io ~Sheet.register_presentation ~Sheet.reverse ~Sheet.row_at ~Sheet.row_range ~Sheet.rows ~Sheet.rrows ~Sheet.rvertical ~Sheet.save_as ~Sheet.save_to_database ~Sheet.save_to_django_model ~Sheet.save_to_memory ~Sheet.set_array ~Sheet.set_bookdict ~Sheet.set_column_at ~Sheet.set_csv ~Sheet.set_csvz ~Sheet.set_dict ~Sheet.set_fods ~Sheet.set_grid ~Sheet.set_handsontable ~Sheet.set_handsontable_html ~Sheet.set_html ~Sheet.set_json ~Sheet.set_latex ~Sheet.set_latex_booktabs ~Sheet.set_mediawiki ~Sheet.set_named_column_at ~Sheet.set_named_row_at ~Sheet.set_ndjson ~Sheet.set_ods ~Sheet.set_orgtbl ~Sheet.set_pipe ~Sheet.set_plain ~Sheet.set_records ~Sheet.set_row_at ~Sheet.set_rst ~Sheet.set_simple ~Sheet.set_svg ~Sheet.set_texttable ~Sheet.set_tsv ~Sheet.set_tsvz ~Sheet.set_url ~Sheet.set_xls ~Sheet.set_xlsm ~Sheet.set_xlsx ~Sheet.to_array ~Sheet.to_dict ~Sheet.to_records ~Sheet.top ~Sheet.top_left ~Sheet.transpose ~Sheet.vertical .. rubric:: Attributes .. autosummary:: ~Sheet.array ~Sheet.bookdict ~Sheet.colnames ~Sheet.content ~Sheet.csv ~Sheet.csvz ~Sheet.dict ~Sheet.fods ~Sheet.grid ~Sheet.handsontable ~Sheet.handsontable_html ~Sheet.html ~Sheet.json ~Sheet.latex ~Sheet.latex_booktabs ~Sheet.mediawiki ~Sheet.ndjson ~Sheet.ods ~Sheet.orgtbl ~Sheet.pipe ~Sheet.plain ~Sheet.records ~Sheet.rownames ~Sheet.rst ~Sheet.simple ~Sheet.stream ~Sheet.svg ~Sheet.texttable ~Sheet.tsv ~Sheet.tsvz ~Sheet.url ~Sheet.xls ~Sheet.xlsm ~Sheet.xlsx pyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.save_as.rst000066400000000000000000000001501420202037400242350ustar00rootroot00000000000000pyexcel.Sheet.save\_as ====================== .. currentmodule:: pyexcel .. automethod:: Sheet.save_aspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.save_to_database.rst000066400000000000000000000002051420202037400261010ustar00rootroot00000000000000pyexcel.Sheet.save\_to\_database ================================ .. currentmodule:: pyexcel .. automethod:: Sheet.save_to_databasepyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.save_to_django_model.rst000066400000000000000000000002231420202037400267570ustar00rootroot00000000000000pyexcel.Sheet.save\_to\_django\_model ===================================== .. currentmodule:: pyexcel .. automethod:: Sheet.save_to_django_modelpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.save_to_memory.rst000066400000000000000000000001771420202037400256550ustar00rootroot00000000000000pyexcel.Sheet.save\_to\_memory ============================== .. currentmodule:: pyexcel .. automethod:: Sheet.save_to_memorypyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.set_column_at.rst000066400000000000000000000001741420202037400254560ustar00rootroot00000000000000pyexcel.Sheet.set\_column\_at ============================= .. currentmodule:: pyexcel .. automethod:: Sheet.set_column_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.set_named_column_at.rst000066400000000000000000000002201420202037400266120ustar00rootroot00000000000000pyexcel.Sheet.set\_named\_column\_at ==================================== .. currentmodule:: pyexcel .. automethod:: Sheet.set_named_column_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.set_named_row_at.rst000066400000000000000000000002071420202037400261310ustar00rootroot00000000000000pyexcel.Sheet.set\_named\_row\_at ================================= .. currentmodule:: pyexcel .. automethod:: Sheet.set_named_row_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.set_row_at.rst000066400000000000000000000001631420202037400247660ustar00rootroot00000000000000pyexcel.Sheet.set\_row\_at ========================== .. currentmodule:: pyexcel .. automethod:: Sheet.set_row_atpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.stream.rst000066400000000000000000000001461420202037400241140ustar00rootroot00000000000000pyexcel.Sheet.stream ==================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.streampyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.transpose.rst000066400000000000000000000001541420202037400246360ustar00rootroot00000000000000pyexcel.Sheet.transpose ======================= .. currentmodule:: pyexcel .. automethod:: Sheet.transposepyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.tsv.rst000066400000000000000000000001351420202037400234330ustar00rootroot00000000000000pyexcel.Sheet.tsv ================= .. currentmodule:: pyexcel .. autoattribute:: Sheet.tsvpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.tsvz.rst000066400000000000000000000001401420202037400236210ustar00rootroot00000000000000pyexcel.Sheet.tsvz ================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.tsvzpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.url.rst000066400000000000000000000001351420202037400234210ustar00rootroot00000000000000pyexcel.Sheet.url ================= .. currentmodule:: pyexcel .. autoattribute:: Sheet.urlpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.xls.rst000066400000000000000000000001351420202037400234250ustar00rootroot00000000000000pyexcel.Sheet.xls ================= .. currentmodule:: pyexcel .. autoattribute:: Sheet.xlspyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.xlsm.rst000066400000000000000000000001401420202037400235760ustar00rootroot00000000000000pyexcel.Sheet.xlsm ================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.xlsmpyexcel-0.7.0/docs/source/generated/pyexcel.Sheet.xlsx.rst000066400000000000000000000001401420202037400236110ustar00rootroot00000000000000pyexcel.Sheet.xlsx ================== .. currentmodule:: pyexcel .. autoattribute:: Sheet.xlsxpyexcel-0.7.0/docs/source/generated/pyexcel.extract_a_sheet_from_a_book.rst000066400000000000000000000002341420202037400272470ustar00rootroot00000000000000pyexcel.extract\_a\_sheet\_from\_a\_book ======================================== .. currentmodule:: pyexcel .. autofunction:: extract_a_sheet_from_a_bookpyexcel-0.7.0/docs/source/generated/pyexcel.free_resources.rst000066400000000000000000000001551420202037400245650ustar00rootroot00000000000000pyexcel.free\_resources ======================= .. currentmodule:: pyexcel .. autofunction:: free_resourcespyexcel-0.7.0/docs/source/generated/pyexcel.get_array.rst000066400000000000000000000001361420202037400235260ustar00rootroot00000000000000pyexcel.get\_array ================== .. currentmodule:: pyexcel .. autofunction:: get_arraypyexcel-0.7.0/docs/source/generated/pyexcel.get_book.rst000066400000000000000000000001331420202037400233370ustar00rootroot00000000000000pyexcel.get\_book ================= .. currentmodule:: pyexcel .. autofunction:: get_bookpyexcel-0.7.0/docs/source/generated/pyexcel.get_book_dict.rst000066400000000000000000000001541420202037400243450ustar00rootroot00000000000000pyexcel.get\_book\_dict ======================= .. currentmodule:: pyexcel .. autofunction:: get_book_dictpyexcel-0.7.0/docs/source/generated/pyexcel.get_dict.rst000066400000000000000000000001331420202037400233300ustar00rootroot00000000000000pyexcel.get\_dict ================= .. currentmodule:: pyexcel .. autofunction:: get_dictpyexcel-0.7.0/docs/source/generated/pyexcel.get_records.rst000066400000000000000000000001441420202037400240500ustar00rootroot00000000000000pyexcel.get\_records ==================== .. currentmodule:: pyexcel .. autofunction:: get_recordspyexcel-0.7.0/docs/source/generated/pyexcel.get_sheet.rst000066400000000000000000000001361420202037400235200ustar00rootroot00000000000000pyexcel.get\_sheet ================== .. currentmodule:: pyexcel .. autofunction:: get_sheetpyexcel-0.7.0/docs/source/generated/pyexcel.iget_array.rst000066400000000000000000000001411420202037400236730ustar00rootroot00000000000000pyexcel.iget\_array =================== .. currentmodule:: pyexcel .. autofunction:: iget_arraypyexcel-0.7.0/docs/source/generated/pyexcel.iget_book.rst000066400000000000000000000001361420202037400235130ustar00rootroot00000000000000pyexcel.iget\_book ================== .. currentmodule:: pyexcel .. autofunction:: iget_bookpyexcel-0.7.0/docs/source/generated/pyexcel.iget_records.rst000066400000000000000000000001471420202037400242240ustar00rootroot00000000000000pyexcel.iget\_records ===================== .. currentmodule:: pyexcel .. autofunction:: iget_recordspyexcel-0.7.0/docs/source/generated/pyexcel.isave_as.rst000066400000000000000000000001331420202037400233400ustar00rootroot00000000000000pyexcel.isave\_as ================= .. currentmodule:: pyexcel .. autofunction:: isave_aspyexcel-0.7.0/docs/source/generated/pyexcel.isave_book_as.rst000066400000000000000000000001541420202037400243550ustar00rootroot00000000000000pyexcel.isave\_book\_as ======================= .. currentmodule:: pyexcel .. autofunction:: isave_book_aspyexcel-0.7.0/docs/source/generated/pyexcel.merge_all_to_a_book.rst000066400000000000000000000002021420202037400255060ustar00rootroot00000000000000pyexcel.merge\_all\_to\_a\_book =============================== .. currentmodule:: pyexcel .. autofunction:: merge_all_to_a_bookpyexcel-0.7.0/docs/source/generated/pyexcel.merge_csv_to_a_book.rst000066400000000000000000000002021420202037400255310ustar00rootroot00000000000000pyexcel.merge\_csv\_to\_a\_book =============================== .. currentmodule:: pyexcel .. autofunction:: merge_csv_to_a_bookpyexcel-0.7.0/docs/source/generated/pyexcel.save_as.rst000066400000000000000000000001301420202037400231640ustar00rootroot00000000000000pyexcel.save\_as ================ .. currentmodule:: pyexcel .. autofunction:: save_aspyexcel-0.7.0/docs/source/generated/pyexcel.save_book_as.rst000066400000000000000000000001511420202037400242010ustar00rootroot00000000000000pyexcel.save\_book\_as ====================== .. currentmodule:: pyexcel .. autofunction:: save_book_aspyexcel-0.7.0/docs/source/generated/pyexcel.split_a_book.rst000066400000000000000000000001511420202037400242130ustar00rootroot00000000000000pyexcel.split\_a\_book ====================== .. currentmodule:: pyexcel .. autofunction:: split_a_bookpyexcel-0.7.0/docs/source/guide.rst000066400000000000000000000026041420202037400172420ustar00rootroot00000000000000Developer's guide ================= Development steps for code changes #. git clone https://github.com/pyexcel/pyexcel.git #. cd pyexcel Upgrade your setup tools and pip. They are needed for development and testing only: #. pip install --upgrade setuptools pip Then install relevant development requirements: #. pip install -r rnd_requirements.txt # if such a file exists #. pip install -r requirements.txt #. pip install -r tests/requirements.txt Once you have finished your changes, please provide test case(s), relevant documentation and update changelog.yml .. note:: As to rnd_requirements.txt, usually, it is created when a dependent library is not released. Once the dependecy is installed (will be released), the future version of the dependency in the requirements.txt will be valid. How to test your contribution ------------------------------ Although `nose` and `doctest` are both used in code testing, it is adviable that unit tests are put in tests. `doctest` is incorporated only to make sure the code examples in documentation remain valid across different development releases. On Linux/Unix systems, please launch your tests like this:: $ make On Windows, please issue this command:: > test.bat Before you commit ------------------------------ Please run:: $ make format so as to beautify your code otherwise your build may fail your unit test. pyexcel-0.7.0/docs/source/iapi.rst000066400000000000000000000012231420202037400170630ustar00rootroot00000000000000 ====================== Internal API reference ====================== .. currentmodule:: pyexcel.internal.sheets .. _iapi: This is intended for developers and hackers of pyexcel. Data sheet representation ========================= In inheritance order from parent to child .. autosummary:: :toctree: iapi Matrix .. currentmodule:: pyexcel.internal.generators .. autosummary:: :toctree: iapi SheetStream BookStream .. currentmodule:: pyexcel.internal.sheets Row representation =================== .. autosummary:: :toctree: iapi Row Column representation ===================== .. autosummary:: :toctree: iapi Column pyexcel-0.7.0/docs/source/iapi/000077500000000000000000000000001420202037400163335ustar00rootroot00000000000000pyexcel-0.7.0/docs/source/iapi/pyexcel.internal.generators.BookStream.rst000066400000000000000000000006341420202037400265710ustar00rootroot00000000000000pyexcel.internal.generators.BookStream ====================================== .. currentmodule:: pyexcel.internal.generators .. autoclass:: BookStream .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~BookStream.__init__ ~BookStream.load_from_sheets ~BookStream.number_of_sheets ~BookStream.sheet_names ~BookStream.to_dict pyexcel-0.7.0/docs/source/iapi/pyexcel.internal.generators.SheetStream.rst000066400000000000000000000006641420202037400267520ustar00rootroot00000000000000pyexcel.internal.generators.SheetStream ======================================= .. currentmodule:: pyexcel.internal.generators .. autoclass:: SheetStream .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~SheetStream.__init__ ~SheetStream.get_internal_array ~SheetStream.to_array .. rubric:: Attributes .. autosummary:: ~SheetStream.array pyexcel-0.7.0/docs/source/iapi/pyexcel.internal.sheets.Column.rst000066400000000000000000000005101420202037400250730ustar00rootroot00000000000000pyexcel.internal.sheets.Column ============================== .. currentmodule:: pyexcel.internal.sheets .. autoclass:: Column .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~Column.__init__ ~Column.format ~Column.get_converter ~Column.select pyexcel-0.7.0/docs/source/iapi/pyexcel.internal.sheets.Matrix.rst000066400000000000000000000066101420202037400251110ustar00rootroot00000000000000pyexcel.internal.sheets.Matrix ============================== .. currentmodule:: pyexcel.internal.sheets .. autoclass:: Matrix .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~Matrix.__init__ ~Matrix.cell_value ~Matrix.clone ~Matrix.column_at ~Matrix.column_range ~Matrix.columns ~Matrix.contains ~Matrix.cut ~Matrix.delete_columns ~Matrix.delete_rows ~Matrix.enumerate ~Matrix.extend_columns ~Matrix.extend_columns_with_rows ~Matrix.extend_rows ~Matrix.filter ~Matrix.format ~Matrix.get_array ~Matrix.get_bookdict ~Matrix.get_csv ~Matrix.get_csvz ~Matrix.get_dict ~Matrix.get_fods ~Matrix.get_grid ~Matrix.get_handsontable ~Matrix.get_handsontable_html ~Matrix.get_html ~Matrix.get_internal_array ~Matrix.get_json ~Matrix.get_latex ~Matrix.get_latex_booktabs ~Matrix.get_mediawiki ~Matrix.get_ndjson ~Matrix.get_ods ~Matrix.get_orgtbl ~Matrix.get_pipe ~Matrix.get_plain ~Matrix.get_records ~Matrix.get_rst ~Matrix.get_simple ~Matrix.get_svg ~Matrix.get_texttable ~Matrix.get_tsv ~Matrix.get_tsvz ~Matrix.get_url ~Matrix.get_xls ~Matrix.get_xlsm ~Matrix.get_xlsx ~Matrix.map ~Matrix.number_of_columns ~Matrix.number_of_rows ~Matrix.paste ~Matrix.plot ~Matrix.rcolumns ~Matrix.region ~Matrix.register_input ~Matrix.register_io ~Matrix.register_presentation ~Matrix.reverse ~Matrix.row_at ~Matrix.row_range ~Matrix.rows ~Matrix.rrows ~Matrix.rvertical ~Matrix.save_as ~Matrix.save_to_database ~Matrix.save_to_django_model ~Matrix.save_to_memory ~Matrix.set_array ~Matrix.set_bookdict ~Matrix.set_column_at ~Matrix.set_csv ~Matrix.set_csvz ~Matrix.set_dict ~Matrix.set_fods ~Matrix.set_grid ~Matrix.set_handsontable ~Matrix.set_handsontable_html ~Matrix.set_html ~Matrix.set_json ~Matrix.set_latex ~Matrix.set_latex_booktabs ~Matrix.set_mediawiki ~Matrix.set_ndjson ~Matrix.set_ods ~Matrix.set_orgtbl ~Matrix.set_pipe ~Matrix.set_plain ~Matrix.set_records ~Matrix.set_row_at ~Matrix.set_rst ~Matrix.set_simple ~Matrix.set_svg ~Matrix.set_texttable ~Matrix.set_tsv ~Matrix.set_tsvz ~Matrix.set_url ~Matrix.set_xls ~Matrix.set_xlsm ~Matrix.set_xlsx ~Matrix.to_array ~Matrix.transpose ~Matrix.vertical .. rubric:: Attributes .. autosummary:: ~Matrix.array ~Matrix.bookdict ~Matrix.csv ~Matrix.csvz ~Matrix.dict ~Matrix.fods ~Matrix.grid ~Matrix.handsontable ~Matrix.handsontable_html ~Matrix.html ~Matrix.json ~Matrix.latex ~Matrix.latex_booktabs ~Matrix.mediawiki ~Matrix.ndjson ~Matrix.ods ~Matrix.orgtbl ~Matrix.pipe ~Matrix.plain ~Matrix.records ~Matrix.rst ~Matrix.simple ~Matrix.stream ~Matrix.svg ~Matrix.texttable ~Matrix.tsv ~Matrix.tsvz ~Matrix.url ~Matrix.xls ~Matrix.xlsm ~Matrix.xlsx pyexcel-0.7.0/docs/source/iapi/pyexcel.internal.sheets.Row.rst000066400000000000000000000004631420202037400244140ustar00rootroot00000000000000pyexcel.internal.sheets.Row =========================== .. currentmodule:: pyexcel.internal.sheets .. autoclass:: Row .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~Row.__init__ ~Row.format ~Row.get_converter ~Row.select pyexcel-0.7.0/docs/source/index.rst000066400000000000000000000370641420202037400172640ustar00rootroot00000000000000`pyexcel` - Let you focus on data, instead of file formats ================================================================================ :Author: C.W. :Source code: http://github.com/pyexcel/pyexcel.git :Issues: http://github.com/pyexcel/pyexcel/issues :License: New BSD License :Released: |version| :Generated: |today| Introduction ------------- **pyexcel** provides **one** application programming interface to read, manipulate and write data in various excel formats. This library makes information processing involving excel files an enjoyable task. The data in excel files can be turned into :ref:`array or dict` with minimal code and vice versa. This library focuses on data processing using excel files as storage media hence fonts, colors and charts were not and will not be considered. The idea originated from the common usability problem: when an excel file driven web application is delivered for non-developer users (ie: team assistant, human resource administrator etc). The fact is that not everyone knows (or cares) about the differences between various excel formats: csv, xls, xlsx are all the same to them. Instead of training those users about file formats, this library helps web developers to handle most of the excel file formats by providing a common programming interface. To add a specific excel file format type to you application, all you need is to install an extra pyexcel plugin. Hence no code changes to your application and no issues with excel file formats any more. Looking at the community, this library and its associated ones try to become a small and easy to install alternative to Pandas. Support the project ================================================================================ If your company has embedded pyexcel and its components into a revenue generating product, please support me on github, `patreon `_ or `bounty source `_ to maintain the project and develop it further. If you are an individual, you are welcome to support me too and for however long you feel like. As my backer, you will receive `early access to pyexcel related contents `_. And your issues will get prioritized if you would like to become my patreon as `pyexcel pro user`. With your financial support, I will be able to invest a little bit more time in coding, documentation and writing interesting posts. Installation ------------- You can install pyexcel via pip: .. code-block:: bash $ pip install pyexcel or clone it and install it: .. code-block:: bash $ git clone https://github.com/pyexcel/pyexcel.git $ cd pyexcel $ python setup.py install Suppose you have the following data in a dictionary: ========= ==== Name Age ========= ==== Adam 28 Beatrice 29 Ceri 30 Dean 26 ========= ==== you can easily save it into an excel file using the following code: .. code-block:: python >>> import pyexcel >>> # make sure you had pyexcel-xls installed >>> a_list_of_dictionaries = [ ... { ... "Name": 'Adam', ... "Age": 28 ... }, ... { ... "Name": 'Beatrice', ... "Age": 29 ... }, ... { ... "Name": 'Ceri', ... "Age": 30 ... }, ... { ... "Name": 'Dean', ... "Age": 26 ... } ... ] >>> pyexcel.save_as(records=a_list_of_dictionaries, dest_file_name="your_file.xls") And here's how to obtain the records: .. code-block:: python >>> import pyexcel as p >>> records = p.iget_records(file_name="your_file.xls") >>> for record in records: ... print("%s is aged at %d" % (record['Name'], record['Age'])) Adam is aged at 28 Beatrice is aged at 29 Ceri is aged at 30 Dean is aged at 26 >>> p.free_resources() Custom data rendering: .. code-block:: python >>> # pip install pyexcel-text==0.2.7.1 >>> import pyexcel as p >>> ccs_insight2 = p.Sheet() >>> ccs_insight2.name = "Worldwide Mobile Phone Shipments (Billions), 2017-2021" >>> ccs_insight2.ndjson = """ ... {"year": ["2017", "2018", "2019", "2020", "2021"]} ... {"smart phones": [1.53, 1.64, 1.74, 1.82, 1.90]} ... {"feature phones": [0.46, 0.38, 0.30, 0.23, 0.17]} ... """.strip() >>> ccs_insight2 pyexcel sheet: +----------------+------+------+------+------+------+ | year | 2017 | 2018 | 2019 | 2020 | 2021 | +----------------+------+------+------+------+------+ | smart phones | 1.53 | 1.64 | 1.74 | 1.82 | 1.9 | +----------------+------+------+------+------+------+ | feature phones | 0.46 | 0.38 | 0.3 | 0.23 | 0.17 | +----------------+------+------+------+------+------+ Advanced usage :fire: ---------------------- If you are dealing with big data, please consider these usages: .. code-block:: python >>> def increase_everyones_age(generator): ... for row in generator: ... row['Age'] += 1 ... yield row >>> def duplicate_each_record(generator): ... for row in generator: ... yield row ... yield row >>> records = p.iget_records(file_name="your_file.xls") >>> io=p.isave_as(records=duplicate_each_record(increase_everyones_age(records)), ... dest_file_type='csv', dest_lineterminator='\n') >>> print(io.getvalue()) Age,Name 29,Adam 29,Adam 30,Beatrice 30,Beatrice 31,Ceri 31,Ceri 27,Dean 27,Dean Two advantages of above method: #. Add as many wrapping functions as you want. #. Constant memory consumption .. testcode:: :hide: >>> import os >>> os.unlink("your_file.xls") For individual excel file formats, please install them as you wish: .. _file-format-list: .. _a-map-of-plugins-and-file-formats: .. table:: A list of file formats supported by external plugins ======================== ======================= ================= Package name Supported file formats Dependencies ======================== ======================= ================= `pyexcel-io`_ csv, csvz [#f1]_, tsv, tsvz [#f2]_ `pyexcel-xls`_ xls, xlsx(read only), `xlrd`_, xlsm(read only) `xlwt`_ `pyexcel-xlsx`_ xlsx `openpyxl`_ `pyexcel-ods3`_ ods `pyexcel-ezodf`_, lxml `pyexcel-ods`_ ods `odfpy`_ ======================== ======================= ================= .. table:: Dedicated file reader and writers ======================== ======================= ================= Package name Supported file formats Dependencies ======================== ======================= ================= `pyexcel-xlsxw`_ xlsx(write only) `XlsxWriter`_ `pyexcel-libxlsxw`_ xlsx(write only) `libxlsxwriter`_ `pyexcel-xlsxr`_ xlsx(read only) lxml `pyexcel-xlsbr`_ xlsb(read only) pyxlsb `pyexcel-odsr`_ read only for ods, fods lxml `pyexcel-odsw`_ write only for ods loxun `pyexcel-htmlr`_ html(read only) lxml,html5lib `pyexcel-pdfr`_ pdf(read only) camelot ======================== ======================= ================= Plugin shopping guide ------------------------ Since 2020, all pyexcel-io plugins have dropped the support for python versions which are lower than 3.6. If you want to use any of those Python versions, please use pyexcel-io and its plugins versions that are lower than 0.6.0. Except csv files, xls, xlsx and ods files are a zip of a folder containing a lot of xml files The dedicated readers for excel files can stream read In order to manage the list of plugins installed, you need to use pip to add or remove a plugin. When you use virtualenv, you can have different plugins per virtual environment. In the situation where you have multiple plugins that does the same thing in your environment, you need to tell pyexcel which plugin to use per function call. For example, pyexcel-ods and pyexcel-odsr, and you want to get_array to use pyexcel-odsr. You need to append get_array(..., library='pyexcel-odsr'). .. _pyexcel-io: https://github.com/pyexcel/pyexcel-io .. _pyexcel-xls: https://github.com/pyexcel/pyexcel-xls .. _pyexcel-xlsx: https://github.com/pyexcel/pyexcel-xlsx .. _pyexcel-ods: https://github.com/pyexcel/pyexcel-ods .. _pyexcel-ods3: https://github.com/pyexcel/pyexcel-ods3 .. _pyexcel-odsr: https://github.com/pyexcel/pyexcel-odsr .. _pyexcel-odsw: https://github.com/pyexcel/pyexcel-odsw .. _pyexcel-pdfr: https://github.com/pyexcel/pyexcel-pdfr .. _pyexcel-xlsxw: https://github.com/pyexcel/pyexcel-xlsxw .. _pyexcel-libxlsxw: https://github.com/pyexcel/pyexcel-libxlsxw .. _pyexcel-xlsxr: https://github.com/pyexcel/pyexcel-xlsxr .. _pyexcel-xlsbr: https://github.com/pyexcel/pyexcel-xlsbr .. _pyexcel-htmlr: https://github.com/pyexcel/pyexcel-htmlr .. _xlrd: https://github.com/python-excel/xlrd .. _xlwt: https://github.com/python-excel/xlwt .. _openpyxl: https://bitbucket.org/openpyxl/openpyxl .. _XlsxWriter: https://github.com/jmcnamara/XlsxWriter .. _pyexcel-ezodf: https://github.com/pyexcel/pyexcel-ezodf .. _odfpy: https://github.com/eea/odfpy .. _libxlsxwriter: http://libxlsxwriter.github.io/getting_started.html .. table:: Other data renderers ======================== ======================= ================= ================== Package name Supported file formats Dependencies Python versions ======================== ======================= ================= ================== `pyexcel-text`_ write only:rst, `tabulate`_ 2.6, 2.7, 3.3, 3.4 mediawiki, html, 3.5, 3.6, pypy latex, grid, pipe, orgtbl, plain simple read only: ndjson r/w: json `pyexcel-handsontable`_ handsontable in html `handsontable`_ same as above `pyexcel-pygal`_ svg chart `pygal`_ 2.7, 3.3, 3.4, 3.5 3.6, pypy `pyexcel-sortable`_ sortable table in html `csvtotable`_ same as above `pyexcel-gantt`_ gantt chart in html `frappe-gantt`_ except pypy, same as above ======================== ======================= ================= ================== .. _pyexcel-text: https://github.com/pyexcel/pyexcel-text .. _tabulate: https://bitbucket.org/astanin/python-tabulate .. _pyexcel-handsontable: https://github.com/pyexcel/pyexcel-handsontable .. _handsontable: https://cdnjs.com/libraries/handsontable .. _pyexcel-pygal: https://github.com/pyexcel/pyexcel-chart .. _pygal: https://github.com/Kozea/pygal .. _pyexcel-matplotlib: https://github.com/pyexcel/pyexcel-matplotlib .. _matplotlib: https://matplotlib.org .. _pyexcel-sortable: https://github.com/pyexcel/pyexcel-sortable .. _csvtotable: https://github.com/vividvilla/csvtotable .. _pyexcel-gantt: https://github.com/pyexcel/pyexcel-gantt .. _frappe-gantt: https://github.com/frappe/gantt .. rubric:: Footnotes .. [#f1] zipped csv file .. [#f2] zipped tsv file For compatibility tables of pyexcel-io plugins, please click `here `_ .. table:: Plugin compatibility table ======== ========== ============= ==================== ============= ============= pyexcel pyexcel-io pyexcel-text pyexcel-handsontable pyexcel-pygal pyexcel-gantt ======== ========== ============= ==================== ============= ============= 0.6.5+ 0.6.2+ 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.15+ 0.5.19+ 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.14 0.5.18 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.10+ 0.5.11+ 0.2.6+ 0.0.1+ 0.0.1 0.0.1 0.5.9.1+ 0.5.9.1+ 0.2.6+ 0.0.1 0.0.1 0.0.1 0.5.4+ 0.5.1+ 0.2.6+ 0.0.1 0.0.1 0.0.1 0.5.0+ 0.4.0+ 0.2.6+ 0.0.1 0.0.1 0.0.1 0.4.0+ 0.3.0+ 0.2.5 ======== ========== ============= ==================== ============= ============= .. table:: A list of supported file formats ============ ======================================================= file format definition ============ ======================================================= csv comma separated values tsv tab separated values csvz a zip file that contains one or many csv files tsvz a zip file that contains one or many tsv files xls a spreadsheet file format created by MS-Excel 97-2003 xlsx MS-Excel Extensions to the Office Open XML SpreadsheetML File Format. xlsm an MS-Excel Macro-Enabled Workbook file ods open document spreadsheet fods flat open document spreadsheet json java script object notation html html table of the data structure simple simple presentation rst rStructured Text presentation of the data mediawiki media wiki table ============ ======================================================= Usage ------ .. testcode:: :hide: >>> import pyexcel >>> # make sure you had pyexcel-xls pip-installed >>> a_list_of_dictionaries = [ ... { ... "Name": 'Adam', ... "Age": 28 ... }, ... { ... "Name": 'Beatrice', ... "Age": 29 ... }, ... { ... "Name": 'Ceri', ... "Age": 30 ... }, ... { ... "Name": 'Dean', ... "Age": 26 ... } ... ] >>> pyexcel.save_as(records=a_list_of_dictionaries, dest_file_name="your_file.xls") Suppose you want to process the following excel data : .. pyexcel-table:: ---pyexcel:example table--- Name,Age Adam,28 Beatrice,29 Ceri,30 Dean,26 Here are the example usages: .. code-block:: python >>> import pyexcel as pe >>> records = pe.iget_records(file_name="your_file.xls") >>> for record in records: ... print("%s is aged at %d" % (record['Name'], record['Age'])) Adam is aged at 28 Beatrice is aged at 29 Ceri is aged at 30 Dean is aged at 26 >>> pe.free_resources() .. testcode:: :hide: >>> import os >>> os.unlink("your_file.xls") Design -------------------- .. toctree:: design capability architecture New tutorial -------------- .. toctree:: quickstart two-liners iodrivers webdev renderers sheet book database Old tutorial -------------- .. toctree:: tutorial_file tutorial06 tutorial_data_conversion attributes.rst bigdata tutorial tutorial05 tutorial02 tutorial03 tutorial04 Cook book ---------- .. toctree:: cookbook sources Real world cases ------------------- .. toctree:: answers showcases/db_injection API documentation ------------------ .. toctree:: :maxdepth: 2 api iapi Developer's guide ------------------ .. toctree:: guide logging pyinstaller plugin_howto Change log ------------------- .. toctree:: :maxdepth: 2 migration_guide changelog Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` pyexcel-0.7.0/docs/source/logging.rst000066400000000000000000000035011420202037400175700ustar00rootroot00000000000000================================================================================ How to log pyexcel ================================================================================ When developing source plugins, it becomes necessary to have log trace available. It helps find out what goes wrong quickly. The basic step would be to set up logging before pyexcel import statement. .. code-block:: python import logging import logging.config logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.DEBUG) import pyexcel And if you would use a complex configuration, you can use the following code. .. code-block:: python import logging import logging.config logging.config.fileConfig('log.conf') import pyexcel And then save the following content as log.conf in your directory:: [loggers] keys=root, sources, renderers [handlers] keys=consoleHandler [formatters] keys=custom [logger_root] level=INFO handlers=consoleHandler [logger_sources] level=DEBUG handlers=consoleHandler qualname=pyexcel.sources.factory propagate=0 [logger_renderers] level=DEBUG handlers=consoleHandler qualname=pyexcel.renderers.factory propagate=0 [handler_consoleHandler] class=StreamHandler level=DEBUG formatter=custom args=(sys.stdout,) [formatter_custom] format=%(asctime)s - %(name)s - %(levelname)s - %(message)s datefmt= Disable logging ------------------- In unit testing and django framework, you will find the `lml` logging even you have not explicitly wanted them. You can suppress them: .. code-block:: python import logging logging.getLogger('lml.plugin').propagate = False Here is a list of possible modules: `lml.plugin` and `lml.loader`. pyexcel-0.7.0/docs/source/migration_guide.rst000066400000000000000000000203011420202037400213050ustar00rootroot00000000000000What's breaking in 0.7.0 ================================================================================ The following statements will stop working:: import pyexcel.ext.ods import pyexcel.ext.ods3 import pyexcel.ext.text import pyexcel.ext.xls import pyexcel.ext.xlsx as they were deprecated since v0.2.2 What's breaking in 0.6.0 ================================================================================ In the following statements:: sheet_a = sheet.row + rows sheet_b = sheet.column + columns book = sheet_a + sheet_b `sheet_a` and `sheet_b` will no longer have access to the data of `sheet`. `book` will no longer have access to the data of `sheet_a` and `sheet_b`. Under Hyrum's Law, this enhancement in 0.6.0 will cause breakage otherwise. What's breaking in 0.5.9 ================================================================================ :meth:`pyexcel.Sheet.to_records` returns a generator instead of a list of dictionaries. Migrate away from 0.4.3 ============================== get_{{file_type}}_stream functions from pyexcel.Sheet and pyexcel.Book were introduced since 0.4.3 but were removed since 0.4.4. Please be advised to use save_to_memory functions, Sheet.io.{{file_type}} or Book.io.{{file_type}}. Migrate from 0.2.x to 0.3.0+ ================================ Filtering and formatting behavior of :class:`pyexcel.Sheet` are simplified. Soft filter and soft formatter are removed. Extra classes such as iterator, formatter, filter are removed. Most of formatting tasks could be achieved using :meth:`~pyexcel.Sheet.format` and :meth:`~pyexcel.Sheet.map`. and Filtering with :meth:`~pyexcel.Sheet.filter`. Formatting and filtering on row and/or column can be found with :meth:`~pyexcel.sheets.row` and :meth:`~pyexcel.sheets.column` 1. Updated filter function ------------------------------------------ There is no alternative to replace the following code:: sheet.filter(pe.OddRowFilter()) You will need to remove odd rows by yourself:: >>> import pyexcel as pe >>> data = [ ... ['1'], ... ['2'], ... ['3'], ... ] >>> sheet = pe.Sheet(data) >>> to_remove = [] >>> for index in sheet.row_range(): ... if index % 2 == 0: ... to_remove.append(index) >>> sheet.filter(row_indices=to_remove) >>> sheet pyexcel sheet: +---+ | 2 | +---+ Or, you could do this:: >>> data = [ ... ['1'], ... ['2'], ... ['3'], ... ] >>> sheet = pe.Sheet(data) >>> def odd_filter(row_index, _): ... return row_index % 2 == 0 >>> del sheet.row[odd_filter] >>> sheet pyexcel sheet: +---+ | 2 | +---+ And the same applies to EvenRowFilter, OddColumnFilter, EvenColumnFilter. 2. Updated format function ----------------------------------------- 2.1 Replacement of sheetformatter +++++++++++++++++++++++++++++++++++++++++++ The following formatting code:: sheet.apply_formatter(pe.sheets.formatters.SheetFormatter(int)) can be replaced by:: sheet.format(int) 2.2 Replacement of row formatters ++++++++++++++++++++++++++++++++++++++++++++++ The following code:: row_formatter = pe.sheets.formatters.RowFormatter([1, 2], str) sheet.add_formatter(row_formatter) can be replaced by:: sheet.row.format([1, 2], str) 2.3 Replacement of column formatters ++++++++++++++++++++++++++++++++++++++++++++++ The following code:: f = NamedColumnFormatter(["Column 1", "Column 3"], str) sheet.apply_formatter(f) can be replaced by:: sheet.column.format(["Column 1", "Column 3"], str) Migrate from 0.2.1 to 0.2.2+ ================================ 1. Explicit imports, no longer needed -------------------------------------------- Please forget about these statements:: import pyexcel.ext.xls import pyexcel.ext.ods import pyexcel.ext.xlsx They are no longer needed. As long as you have pip-installed them, they will be auto-loaded. However, if you do not want some of the plugins, please use `pip` to uninstall them. What if you have your code as it is? No harm but a few warnings shown:: Deprecated usage since v0.2.2! Explicit import is no longer required. pyexcel.ext.ods is auto imported. 2. Invalid environment marker: platform_python_implementation=="PyPy" ----------------------------------------------------------------------- Yes, it is a surprise. Please upgrade setuptools in your environment:: pip install --upgrade setuptools At the time of writing, setuptools (18.0.1) or setuptools-21.0.0-py2.py3-none-any.whl is installed on author's computer and worked. 3. How to keep both pyexcel-xls and pyexcel-xlsx ---------------------------------------------------------------- As in `Issue 20 `_, pyexcel-xls was used for xls and pyexcel-xlsx had to be used for xlsx. Both must co-exist due to requirements. The workaround would failed when auto-import are enabled in v0.2.2. Hence, user of pyexcel in this situation shall use 'library' parameter to all signature functions, to instruct pyexcel to use a named library for each function call. 4. pyexcel.get_io is no longer exposed -------------------------------------------------------------- pyexcel.get_io was passed on from pyexcel-io. However, it is no longer exposed. Please use pyexcel_io.manager.RWManager.get_io if you have to. You are likely to use pyexcel.get_io when you do :meth:`pyexcel.Sheet.save_to_memory` or :meth:`pyexcel.Book.save_to_memory` where you need to put in a io stream. But actually, with latest code, you could put in a `None`. Migrate from 0.1.x to 0.2.x =============================== 1. "Writer" is gone, Please use save_as. ------------------------------------------- .. testcode:: :hide: >>> import pyexcel Here is a piece of legacy code: .. code-block:: python w = pyexcel.Writer("afile.csv") data=[['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 1.1, 1]] w.write_array(table) w.close() The new code is: .. code-block:: python >>> data=[['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 1.1, 1]] >>> pyexcel.save_as(array=data, dest_file_name="afile.csv") .. testcode:: :hide: >>> import os >>> os.unlink("afile.csv") Here is another piece of legacy code: .. code-block:: python content = { "X": [1,2,3,4,5], "Y": [6,7,8,9,10], "Z": [11,12,13,14,15], } w = pyexcel.Writer("afile.csv") w.write_dict(self.content) w.close() The new code is: .. code-block:: python >>> content = { ... "X": [1,2,3,4,5], ... "Y": [6,7,8,9,10], ... "Z": [11,12,13,14,15], ... } >>> pyexcel.save_as(adict=content, dest_file_name="afile.csv") .. testcode:: :hide: >>> import os >>> os.unlink("afile.csv") Here is yet another piece of legacy code: .. code-block:: python data = [ [1, 2, 3], [4, 5, 6] ] io = StringIO() w = pyexcel.Writer(("csv",io)) w.write_rows(data) w.close() The new code is: >>> data = [ ... [1, 2, 3], ... [4, 5, 6] ... ] >>> io = pyexcel.save_as(dest_file_type='csv', array=data) >>> for line in io.readlines(): ... print(line.rstrip()) 1,2,3 4,5,6 2. "BookWriter" is gone. Please use save_book_as. --------------------------------------------------- Here is a piece of legacy code: .. code-block:: python import pyexcel content = { "Sheet1": [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]], "Sheet2": [[4, 4, 4, 4], [5, 5, 5, 5], [6, 6, 6, 6]], "Sheet3": [[u'X', u'Y', u'Z'], [1, 4, 7], [2, 5, 8], [3, 6, 9]] } w = pyexcel.BookWriter("afile.csv") w.write_book_from_dict(content) w.close() The replacement code is: .. code-block:: python >>> import pyexcel >>> content = { ... "Sheet1": [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]], ... "Sheet2": [[4, 4, 4, 4], [5, 5, 5, 5], [6, 6, 6, 6]], ... "Sheet3": [[u'X', u'Y', u'Z'], [1, 4, 7], [2, 5, 8], [3, 6, 9]] ... } >>> pyexcel.save_book_as(bookdict=content, dest_file_name="afile.csv") .. testcode:: :hide: >>> import os >>> os.unlink("afile__Sheet1__0.csv") >>> os.unlink("afile__Sheet2__1.csv") >>> os.unlink("afile__Sheet3__2.csv") pyexcel-0.7.0/docs/source/note_on_pypy.rst000066400000000000000000000003421420202037400206640ustar00rootroot00000000000000Note on pypy and lxml ================================================================================ When executing the unit tests on pypy3, it's found that lxml 4.0.0 works well on pypy3. lxml 3.6.4 works well on pypy2. pyexcel-0.7.0/docs/source/plugin_howto.rst000066400000000000000000000044151420202037400206650ustar00rootroot00000000000000How to write a plugin for pyexcel ================================================================================ .. note:: Under writing. Stay tuned. There are three types of plugins for pyexcel: data parser, data renderer and data source. Tutorial -------------------------------------------------------------------------------- Let me walk you through the process of creating pyexcel-pdfr package. Prerequisites: #. pip install moban yehua #. git clone https://github.com/moremoban/setupmobans.git # generic setup #. git clone https://github.com/pyexcel/pyexcel-commons.git Let me assume that you have the work directory as:: setupmobans pyexcel-commons and `YOUR_WORK_DIRECTORY` points to the base directory for both. And then please export an environment variable:: export YEHUA_FILE=$YOUR_WORK_DIRECTORY/pyexcel-commons/yehua/yehua.yml Now let's get started. Step 1 ******************************************************************************** Call `yehua` to get the basic scaffolding:: $ yehua Yehua will walk you through creating a pyexcel package. Press ^C to quit at any time. What is your project name? pyexcel-pdfr What is the description? parses tables in pdf file as tabular data What is project type? 1. pyexcel plugins 2. command line interface 3. python's C externsion (1,2,3): 1 What is the nick name? pdf $ Step 2 ******************************************************************************** Call `moban` to inflate all project files:: $ cd pyexcel-pdfr/ $ ln -s ../pyexcel-commons/ commons $ ln -s ../setupmobans/ setupmobans $ moban Templating README.rst to README.rst Templating setup.py to setup.py Templating requirements.txt to requirements.txt Templating NEW_BSD_LICENSE.jj2 to LICENSE Templating MANIFEST.in.jj2 to MANIFEST.in Templating tests/requirements.txt to tests/requirements.txt Templating test.script.jj2 to test.sh Templating test.script.jj2 to test.bat Templating travis.yml.jj2 to .travis.yml Templating gitignore.jj2 to .gitignore Templating docs/source/conf.py.jj2 to docs/source/conf.py Step 3 - Coding ******************************************************************************** Please put your code in pyexcel_pdfr pyexcel-0.7.0/docs/source/pyinstaller.rst000066400000000000000000000027051420202037400205150ustar00rootroot00000000000000Packaging with PyInstaller ================================================================================ With pyexcel v0.5.0, the way to package it has been changed because it uses lml for all plugins. And you need to do the same for `pyexcel-io plugins `_ too. Built-in plugins of pyexcel ------------------------------- In order to package every built-in plugins of pyexcel-io, you need to specify:: --hidden-import pyexcel.plugins.renderers.sqlalchemy --hidden-import pyexcel.plugins.renderers.django --hidden-import pyexcel.plugins.renderers.excel --hidden-import pyexcel.plugins.renderers._texttable --hidden-import pyexcel.plugins.parsers.excel --hidden-import pyexcel.plugins.parsers.sqlalchemy --hidden-import pyexcel.plugins.sources.http --hidden-import pyexcel.plugins.sources.file_input --hidden-import pyexcel.plugins.sources.memory_input --hidden-import pyexcel.plugins.sources.file_output --hidden-import pyexcel.plugins.sources.output_to_memory --hidden-import pyexcel.plugins.sources.pydata.bookdict --hidden-import pyexcel.plugins.sources.pydata.dictsource --hidden-import pyexcel.plugins.sources.pydata.arraysource --hidden-import pyexcel.plugins.sources.pydata.records --hidden-import pyexcel.plugins.sources.django --hidden-import pyexcel.plugins.sources.sqlalchemy --hidden-import pyexcel.plugins.sources.querysets pyexcel-0.7.0/docs/source/quickstart.rst000066400000000000000000000361601420202037400203430ustar00rootroot00000000000000 One liners ================================================================================ This section shows you how to get data from your excel files and how to export data to excel files in **one line** Read from the excel files -------------------------------------------------------------------------------- Get a list of dictionaries ******************************************************************************** .. testcode:: :hide: >>> import os >>> import pyexcel as p >>> content=""" ... Name,Period,Representative Composers ... Medieval,c.1150-c.1400,"Machaut, Landini" ... Renaissance,c.1400-c.1600,"Gibbons, Frescobaldi" ... Baroque,c.1600-c.1750,"JS Bach, Vivaldi" ... Classical,c.1750-c.1830,"Joseph Haydn, Wolfgan Amadeus Mozart" ... Earley Romantic,c.1830-c.1860,"Chopin, Mendelssohn, Schumann, Liszt" ... Late Romantic,c.1860-c.1920,"Wagner,Verdi" ... """.strip() >>> sheet = p.get_sheet(file_content=content, file_type='csv') >>> sheet.save_as("your_file.xls") Suppose you want to process `History of Classical Music `_: .. pyexcel-table:: ---pyexcel:History of Classical Music--- Name,Period,Representative Composers Medieval,c.1150-c.1400,"Machaut, Landini" Renaissance,c.1400-c.1600,"Gibbons, Frescobaldi" Baroque,c.1600-c.1750,"JS Bach, Vivaldi" Classical,c.1750-c.1830,"Joseph Haydn, Wolfgan Amadeus Mozart" Earley Romantic,c.1830-c.1860,"Chopin, Mendelssohn, Schumann, Liszt" Late Romantic,c.1860-c.1920, "Wagner,Verdi" Let's get a list of dictionary out from the xls file: .. code-block:: python >>> records = p.get_records(file_name="your_file.xls") And let's check what do we have: .. code-block:: python >>> for row in records: ... print(f"{row['Representative Composers']} are from {row['Name']} period ({row['Period']})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Earley Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) Get two dimensional array ******************************************************************************** Instead, what if you have to use `pyexcel.get_array` to do the same: .. code-block:: python >>> for row in p.get_array(file_name="your_file.xls", start_row=1): ... print(f"{row[2]} are from {row[0]} period ({row[1]})") Machaut, Landini are from Medieval period (c.1150-c.1400) Gibbons, Frescobaldi are from Renaissance period (c.1400-c.1600) JS Bach, Vivaldi are from Baroque period (c.1600-c.1750) Joseph Haydn, Wolfgan Amadeus Mozart are from Classical period (c.1750-c.1830) Chopin, Mendelssohn, Schumann, Liszt are from Earley Romantic period (c.1830-c.1860) Wagner,Verdi are from Late Romantic period (c.1860-c.1920) where `start_row` skips the header row. Get a dictionary ******************************************************************************** You can get a dictionary too: Now let's get a dictionary out from the spreadsheet: .. code-block:: python >>> my_dict = p.get_dict(file_name="your_file.xls", name_columns_by_row=0) And check what do we have: .. code-block:: python >>> from pyexcel._compact import OrderedDict >>> isinstance(my_dict, OrderedDict) True >>> for key, values in my_dict.items(): ... print(key + " : " + ','.join([str(item) for item in values])) Name : Medieval,Renaissance,Baroque,Classical,Earley Romantic,Late Romantic Period : c.1150-c.1400,c.1400-c.1600,c.1600-c.1750,c.1750-c.1830,c.1830-c.1860,c.1860-c.1920 Representative Composers : Machaut, Landini,Gibbons, Frescobaldi,JS Bach, Vivaldi,Joseph Haydn, Wolfgan Amadeus Mozart,Chopin, Mendelssohn, Schumann, Liszt,Wagner,Verdi Please note that my_dict is an OrderedDict. Get a dictionary of two dimensional array ******************************************************************************** .. testcode:: :hide: >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> data = OrderedDict() >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.save_book_as(bookdict=data, dest_file_name="book.xls") Suppose you have a multiple sheet book as the following: .. pyexcel-table:: ---pyexcel:Sheet 1--- 1,2,3 4,5,6 7,8,9 ---pyexcel--- ---pyexcel:Sheet 2--- X,Y,Z 1,2,3 4,5,6 ---pyexcel--- ---pyexcel:Sheet 3--- O,P,Q 3,2,1 4,3,2 Here is the code to obtain those sheets as a single dictionary: .. code-block:: python >>> book_dict = p.get_book_dict(file_name="book.xls") And check: .. code-block:: python >>> isinstance(book_dict, OrderedDict) True >>> import json >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} .. testcode:: :hide: >>> import os >>> os.unlink("book.xls") Write data --------------------------------------------- Export an array ********************** Suppose you have the following array: .. code-block:: python >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file : .. code-block:: python >>> p.save_as(array=data, dest_file_name="example.xls") Let's verify it: .. code-block:: python >>> p.get_sheet(file_name="example.xls") pyexcel_sheet1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") And here is the code to save it as a csv file : .. code-block:: python >>> p.save_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':') Let's verify it: .. code-block:: python >>> with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9 Export a list of dictionaries ********************************** .. code-block:: python >>> records = [ ... {"year": 1903, "country": "Germany", "speed": "206.7km/h"}, ... {"year": 1964, "country": "Japan", "speed": "210km/h"}, ... {"year": 2008, "country": "China", "speed": "350km/h"} ... ] >>> p.save_as(records=records, dest_file_name='high_speed_rail.xls') Export a dictionary of single key value pair ******************************************************************************** .. code-block:: python >>> henley_on_thames_facts = { ... "area": "5.58 square meters", ... "population": "11,619", ... "civial parish": "Henley-on-Thames", ... "latitude": "51.536", ... "longitude": "-0.898" ... } >>> p.save_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx') Export a dictionary of single dimensonal array ******************************************************************************** .. code-block:: python >>> ccs_insights = { ... "year": ["2017", "2018", "2019", "2020", "2021"], ... "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90], ... "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17] ... } >>> p.save_as(adict=ccs_insights, dest_file_name='ccs.csv') Export a dictionary of two dimensional array as a book ******************************************************************************** Suppose you want to save the below dictionary to an excel file : .. code-block:: python >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } Here is the code: .. code-block:: python >>> p.save_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... ) If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example: .. code-block:: python >>> data = OrderedDict() >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.save_book_as(bookdict=data, dest_file_name="book.xls") Let's verify its order: .. code-block:: python >>> book_dict = p.get_book_dict(file_name="book.xls") >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Please notice that "Sheet 2" is the first item in the *book_dict*, meaning the order of sheets are preserved. Transcoding ------------------------------------------- .. note:: Please note that `pyexcel-cli` can perform file transcoding at command line. No need to open your editor, save the problem, then python run. .. testcode:: :hide: >>> import datetime >>> data = [ ... ["name", "weight", "birth"], ... ["Adam", 3.4, datetime.date(2015, 2, 3)], ... ["Smith", 4.2, datetime.date(2014, 11, 12)] ... ] >>> p.save_as(array=data, dest_file_name="birth.xls") The following code does a simple file format transcoding from xls to csv: .. code-block:: python >>> p.save_as(file_name="birth.xls", dest_file_name="birth.csv") Again it is really simple. Let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.csv") >>> sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. NOTE:: Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job. Let use previous example and save it as xlsx instead .. code-block:: python >>> p.save_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension Again let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.xlsx") >>> sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ Excel book merge and split operation in one line -------------------------------------------------------------------------------- Merge all excel files in directory into a book where each file become a sheet ******************************************************************************** The following code will merge every excel files into one file, say "output.xls": .. code-block:: python from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_csv_directory\*.csv"), "output.xls") You can mix and match with other excel formats: xls, xlsm and ods. For example, if you are sure you have only xls, xlsm, xlsx, ods and csv files in `your_excel_file_directory`, you can do the following: .. code-block:: python from pyexcel.cookbook import merge_all_to_a_book import glob merge_all_to_a_book(glob.glob("your_excel_file_directory\*.*"), "output.xls") Split a book into single sheet files **************************************** .. testcode:: :hide: >>> content = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = p.Book(content) >>> book.save_as("megabook.xls") Suppose you have many sheets in a work book and you would like to separate each into a single sheet excel file. You can easily do this: .. code-block:: python >>> from pyexcel.cookbook import split_a_book >>> split_a_book("megabook.xls", "output.xls") >>> import glob >>> outputfiles = glob.glob("*_output.xls") >>> for file in sorted(outputfiles): ... print(file) ... Sheet 1_output.xls Sheet 2_output.xls Sheet 3_output.xls for the output file, you can specify any of the supported formats .. testcode:: :hide: >>> os.unlink("Sheet 1_output.xls") >>> os.unlink("Sheet 2_output.xls") >>> os.unlink("Sheet 3_output.xls") Extract just one sheet from a book ************************************* Suppose you just want to extract one sheet from many sheets that exists in a work book and you would like to separate it into a single sheet excel file. You can easily do this: .. code-block:: python >>> from pyexcel.cookbook import extract_a_sheet_from_a_book >>> extract_a_sheet_from_a_book("megabook.xls", "Sheet 1", "output.xls") >>> if os.path.exists("Sheet 1_output.xls"): ... print("Sheet 1_output.xls exists") ... Sheet 1_output.xls exists for the output file, you can specify any of the supported formats .. testcode:: :hide: >>> os.unlink("Sheet 1_output.xls") >>> os.unlink("megabook.xls") >>> os.unlink('birth.xls') >>> os.unlink('birth.csv') >>> os.unlink('birth.xlsx') >>> os.unlink('high_speed_rail.xls') >>> os.unlink('henley.xlsx') >>> os.unlink('ccs.csv') >>> os.unlink("book.xls") >>> os.unlink("your_file.xls") >>> os.unlink("example.csv") pyexcel-0.7.0/docs/source/renderers.rst000066400000000000000000000033371420202037400201420ustar00rootroot00000000000000Pyexcel data renderers ========================= There exist a few data renderers for pyexcel data. This chapter will walk you through them. View pyexcel data in ndjson and other formats ------------------------------------------------- With `pyexcel-text`_, you can get pyexcel data in newline delimited json, normal json and other formats. View the pyexcel data in a browser ------------------------------------------------ You can use `pyexcel-handsontable`_ to render your data. Include excel data in your python documentation -------------------------------------------------- `sphinxcontrib-excel`_ help you present your excel data in various formats inside your sphinx documentation. Draw charts from your excel data -------------------------------------- `pyexcel-pygal`_ helps you with all charting options and give you charts in svg format. `pyexcel-echarts`_ draws 2D, 3D, geo charts from pyexcel data and has awesome animations too, but it is under development. `pyexcel-matplotlib`_ helps you with scientific charts and is under developmement. Gantt chart visualization for your excel data ------------------------------------------------- `pyexcel-gantt`_ is a specialist renderer for gantt chart. .. _pyexcel-text: https://github.com/pyexcel-renderers/pyexcel-text .. _pyexcel-handsontable: https://github.com/pyexcel-renderers/pyexcel-handsontable .. _pyexcel-pygal: https://github.com/pyexcel-renderers/pyexcel-pygal .. _pyexcel-echarts: https://github.com/pyexcel-renderers/pyexcel-echarts .. _pyexcel-matplotlib: https://github.com/pyexcel-renderers/pyexcel-matplotlib .. _sphinxcontrib-excel: https://github.com/pyexcel-renderers/sphinxcontrib-excel .. _pyexcel-gantt: https://github.com/pyexcel-renderers/pyexcel-gantt pyexcel-0.7.0/docs/source/sheet.rst000066400000000000000000000461711420202037400172640ustar00rootroot00000000000000Sheet ========== The sheet api here is much less powerful than pandas DataFrame when the array is of significant size. To be honesty, pandas DataFrame is much more powerful and provide rich data manipulation apis. When would you consider the sheet api here? if your data manipulation steps are basic and your data volume is not high, you can use them. Random access ----------------- To randomly access a cell of :class:`~pyexcel.Sheet` instance, two syntax are available:: sheet[row, column] or:: sheet['A1'] The former syntax is handy when you know the row and column numbers. The latter syntax is introduced to help you convert the excel column header such as "AX" to integer numbers. Suppose you have the following data, you can get value 5 by reader[2, 2]. .. pyexcel-table:: ---pyexcel:example data--- Example,X,Y,Z a,1,2,3 b,4,5,6 c,7,8,9 Here is the example code showing how you can randomly access a cell: .. testcode:: :hide: >>> import pyexcel >>> data = [ ... ['Example', 'X', 'Y', 'Z'], ... ['a', 1, 2, 3], ... ['b', 4, 5, 6], ... ['c', 7, 8, 9]] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") .. testcode:: >>> sheet = pyexcel.get_sheet(file_name="example.xls") >>> sheet.content +---------+---+---+---+ | Example | X | Y | Z | +---------+---+---+---+ | a | 1 | 2 | 3 | +---------+---+---+---+ | b | 4 | 5 | 6 | +---------+---+---+---+ | c | 7 | 8 | 9 | +---------+---+---+---+ >>> print(sheet[2, 2]) 5 >>> print(sheet["C3"]) 5 >>> sheet[3, 3] = 10 >>> print(sheet[3, 3]) 10 .. note:: In order to set a value to a cell, please use sheet[row_index, column_index] = new_value or sheet['A1'] = new_value **Random access to rows and columns** .. testcode:: :hide: >>> sheet[1, 0] = str(sheet[1, 0]) >>> str(sheet[1,0]) 'a' >>> sheet[0, 2] = str(sheet[0, 2]) >>> sheet[0, 2] 'Y' Continue with previous excel file, you can access row and column separately:: >>> sheet.row[1] ['a', 1, 2, 3] >>> sheet.column[2] ['Y', 2, 5, 8] **Use custom names instead of index** Alternatively, it is possible to use the first row to refer to each columns:: >>> sheet.name_columns_by_row(0) >>> print(sheet[1, "Y"]) 5 >>> sheet[1, "Y"] = 100 >>> print(sheet[1, "Y"]) 100 You have noticed the row index has been changed. It is because first row is taken as the column names, hence all rows after the first row are shifted. Now accessing the columns are changed too:: >>> sheet.column['Y'] [2, 100, 8] Hence access the same cell, this statement also works:: >>> sheet.column['Y'][1] 100 Further more, it is possible to use first column to refer to each rows:: >>> sheet.name_rows_by_column(0) To access the same cell, we can use this line:: >>> sheet.row["b"][1] 100 For the same reason, the row index has been reduced by 1. Since we have named columns and rows, it is possible to access the same cell like this:: >>> print(sheet["b", "Y"]) 100 >>> sheet["b", "Y"] = 200 >>> print(sheet["b", "Y"]) 200 **Play with data** Suppose you have the following data in any of the supported excel formats again: .. pyexcel-table:: ---pyexcel:data with columns--- Column 1,Column 2,Column 3 1,4,7 2,5,8 3,6,9 .. testcode:: :hide: >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example_series.xls") .. testcode:: >>> sheet = pyexcel.get_sheet(file_name="example_series.xls", ... name_columns_by_row=0) .. testcode:: :hide: >>> sheet.colnames = [ str(name) for name in sheet.colnames] You can get headers:: >>> print(list(sheet.colnames)) ['Column 1', 'Column 2', 'Column 3'] You can use a utility function to get all in a dictionary:: >>> sheet.to_dict() OrderedDict([('Column 1', [1, 4, 7]), ('Column 2', [2, 5, 8]), ('Column 3', [3, 6, 9])]) Maybe you want to get only the data without the column headers. You can call :meth:`~pyexcel.Sheet.rows()` instead:: >>> list(sheet.rows()) [[1, 2, 3], [4, 5, 6], [7, 8, 9]] **attributes** Attributes:: >>> import pyexcel >>> content = "1,2,3\n3,4,5" >>> sheet = pyexcel.get_sheet(file_type="csv", file_content=content) >>> sheet.tsv '1\t2\t3\r\n3\t4\t5\r\n' >>> print(sheet.simple) csv: - - - 1 2 3 3 4 5 - - - What's more, you could as well set value to an attribute, for example:: >>> import pyexcel >>> content = "1,2,3\n3,4,5" >>> sheet = pyexcel.Sheet() >>> sheet.csv = content >>> sheet.array [[1, 2, 3], [3, 4, 5]] You can get the direct access to underneath stream object. In some situation, it is desired:: >>> stream = sheet.stream.tsv The returned stream object has tsv formatted content for reading. What you could further do is to set a memory stream of any supported file format to a sheet. For example: >>> another_sheet = pyexcel.Sheet() >>> another_sheet.xls = sheet.xls >>> another_sheet.content +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 3 | 4 | 5 | +---+---+---+ Yet, it is possible assign a absolute url to an online excel file to an instance of :class:`pyexcel.Sheet`. **custom attributes** You can pass on source specific parameters to getter and setter functions. .. code-block:: python >>> content = "1-2-3\n3-4-5" >>> sheet = pyexcel.Sheet() >>> sheet.set_csv(content, delimiter="-") >>> sheet.csv '1,2,3\r\n3,4,5\r\n' >>> sheet.get_csv(delimiter="|") '1|2|3\r\n3|4|5\r\n' Data manipulation -------------------------------------------------------------------------------- The data in a sheet is represented by :class:`~pyexcel.Sheet` which maintains the data as a list of lists. You can regard :class:`~pyexcel.Sheet` as a two dimensional array with additional iterators. Random access to individual column and row is exposed by :class:`~pyexcel.sheets.column.Column` and :class:`~pyexcel.sheets.row.Row` Column manipulation ******************************************************************************** .. testcode:: :hide: >>> import pyexcel >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 4, 7], ... [2, 5, 8], ... [3, 6, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") Suppose have one data file as the following: .. code-block:: python >>> sheet = pyexcel.get_sheet(file_name="example.xls", name_columns_by_row=0) >>> sheet pyexcel sheet: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 4 | 7 | +----------+----------+----------+ | 2 | 5 | 8 | +----------+----------+----------+ | 3 | 6 | 9 | +----------+----------+----------+ And you want to update ``Column 2`` with these data: [11, 12, 13] .. code-block:: python >>> sheet.column["Column 2"] = [11, 12, 13] >>> sheet.column[1] [11, 12, 13] >>> sheet pyexcel sheet: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 11 | 7 | +----------+----------+----------+ | 2 | 12 | 8 | +----------+----------+----------+ | 3 | 13 | 9 | +----------+----------+----------+ Remove one column of a data file ********************************* If you want to remove ``Column 2``, you can just call: .. code-block:: python >>> del sheet.column["Column 2"] >>> sheet.column["Column 3"] [7, 8, 9] The sheet content will become: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+ | Column 1 | Column 3 | +==========+==========+ | 1 | 7 | +----------+----------+ | 2 | 8 | +----------+----------+ | 3 | 9 | +----------+----------+ Append more columns to a data file ******************************************************************************** Continue from previous example. Suppose you want add two more columns to the data file ======== ======== Column 4 Column 5 ======== ======== 10 13 11 14 12 15 ======== ======== Here is the example code to append two extra columns: .. code-block:: python >>> extra_data = [ ... ["Column 4", "Column 5"], ... [10, 13], ... [11, 14], ... [12, 15] ... ] >>> sheet2 = pyexcel.Sheet(extra_data) >>> sheet3 = sheet.column + sheet2 >>> sheet3.column["Column 4"] [10, 11, 12] >>> sheet3.column["Column 5"] [13, 14, 15] Please note above column plus statement will not update original `sheet` instance, as pyexcel user demanded: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+ | Column 1 | Column 3 | +==========+==========+ | 1 | 7 | +----------+----------+ | 2 | 8 | +----------+----------+ | 3 | 9 | +----------+----------+ So, to change orginal `sheet` instance, you can elect to do: .. code-block:: python >>> sheet.column += sheet2 Here is what you will get: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+----------+----------+ | Column 1 | Column 3 | Column 4 | Column 5 | +==========+==========+==========+==========+ | 1 | 7 | 10 | 13 | +----------+----------+----------+----------+ | 2 | 8 | 11 | 14 | +----------+----------+----------+----------+ | 3 | 9 | 12 | 15 | +----------+----------+----------+----------+ Cherry pick some columns to be removed *************************************** Suppose you have the following data: .. code-block:: python >>> data = [ ... ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'], ... [1,2,3,4,5,6,7,9], ... ] >>> sheet = pyexcel.Sheet(data, name_columns_by_row=0) >>> sheet pyexcel sheet: +---+---+---+---+---+---+---+---+ | a | b | c | d | e | f | g | h | +===+===+===+===+===+===+===+===+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 9 | +---+---+---+---+---+---+---+---+ And you want to remove columns named as: 'a', 'c, 'e', 'h'. This is how you do it: .. code-block:: python >>> del sheet.column['a', 'c', 'e', 'h'] >>> sheet pyexcel sheet: +---+---+---+---+ | b | d | f | g | +===+===+===+===+ | 2 | 4 | 6 | 7 | +---+---+---+---+ What if the headers are in a different row ******************************************************************************** .. testcode:: :hide: >>> data = [ ... [1, 2, 3], ... ["Column 1", "Column 2", "Column 3"], ... [4, 5, 6] ... ] >>> sheet = pyexcel.Sheet(data) Suppose you have the following data: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+----------+ | 1 | 2 | 3 | +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 4 | 5 | 6 | +----------+----------+----------+ The way to name your columns is to use index 1: .. code-block:: python >>> sheet.name_columns_by_row(1) Here is what you get: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 2 | 3 | +----------+----------+----------+ | 4 | 5 | 6 | +----------+----------+----------+ Row manipulation ******************************************************************************** .. testcode:: :hide: >>> data = [ ... ["a", "b", "c", "Row 1"], ... ["e", "f", "g", "Row 2"], ... [1, 2, 3, "Row 3"] ... ] >>> sheet = pyexcel.Sheet(data) Suppose you have the following data: .. code-block:: python >>> sheet pyexcel sheet: +---+---+---+-------+ | a | b | c | Row 1 | +---+---+---+-------+ | e | f | g | Row 2 | +---+---+---+-------+ | 1 | 2 | 3 | Row 3 | +---+---+---+-------+ You can name your rows by column index at 3: .. code-block:: python >>> sheet.name_rows_by_column(3) >>> sheet pyexcel sheet: +-------+---+---+---+ | Row 1 | a | b | c | +-------+---+---+---+ | Row 2 | e | f | g | +-------+---+---+---+ | Row 3 | 1 | 2 | 3 | +-------+---+---+---+ Then you can access rows by its name: .. code-block:: python >>> sheet.row["Row 1"] ['a', 'b', 'c'] .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") Formatting -------------------------------------------------------------------------------- Previous section has assumed the data is in the format that you want. In reality, you have to manipulate the data types a bit to suit your needs. Hence, formatters comes into the scene. use :meth:`~pyexcel.Sheet.format` to apply formatter immediately. .. note:: **int**, **float** and **datetime** values are automatically detected in **csv** files since **pyexcel** version 0.2.2 Convert a column of numbers to strings ******************************************************************************** Suppose you have the following data: .. code-block:: python >>> import pyexcel >>> data = [ ... ["userid","name"], ... [10120,"Adam"], ... [10121,"Bella"], ... [10122,"Cedar"] ... ] >>> sheet = pyexcel.Sheet(data) >>> sheet.name_columns_by_row(0) >>> sheet.column["userid"] [10120, 10121, 10122] As you can see, `userid` column is of `int` type. Next, let's convert the column to string format: .. code-block:: python >>> sheet.column.format("userid", str) >>> sheet.column["userid"] ['10120', '10121', '10122'] .. _cleansing: Cleanse the cells in a spread sheet ******************************************************************************** Sometimes, the data in a spreadsheet may have unwanted strings in all or some cells. Let's take an example. Suppose we have a spread sheet that contains all strings but it as random spaces before and after the text values. Some field had weird characters, such as "  ": .. code-block:: python >>> data = [ ... [" Version", " Comments", " Author  "], ... [" v0.0.1 ", " Release versions","  Eda"], ... ["  v0.0.2 ", "Useful updates    ", "  Freud"] ... ] >>> sheet = pyexcel.Sheet(data) >>> sheet.content +-----------------+------------------------------+----------------------+ | Version | Comments | Author   | +-----------------+------------------------------+----------------------+ | v0.0.1 | Release versions |  Eda | +-----------------+------------------------------+----------------------+ |   v0.0.2 | Useful updates     |  Freud | +-----------------+------------------------------+----------------------+ Now try to create a custom cleanse function:: .. code-block:: python >>> def cleanse_func(v): ... v = v.replace(" ", "") ... v = v.rstrip().strip() ... return v ... Then let's create a :class:`~pyexcel.SheetFormatter` and apply it:: .. code-block:: python >>> sheet.map(cleanse_func) So in the end, you get this: .. code-block:: python >>> sheet.content +---------+------------------+--------+ | Version | Comments | Author | +---------+------------------+--------+ | v0.0.1 | Release versions | Eda | +---------+------------------+--------+ | v0.0.2 | Useful updates | Freud | +---------+------------------+--------+ Data filtering -------------------------------------------------------------------------------- use :meth:`~pyexcel.Sheet.filter` function to apply a filter immediately. The content is modified. Suppose you have the following data in any of the supported excel formats: ======== ======== ======== Column 1 Column 2 Column 3 ======== ======== ======== 1 4 7 2 5 8 3 6 9 ======== ======== ======== >>> import pyexcel .. testcode:: :hide: >>> import os >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example_series.xls") .. code-block:: python >>> sheet = pyexcel.get_sheet(file_name="example_series.xls", name_columns_by_row=0) >>> sheet.content +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 2 | 3 | +----------+----------+----------+ | 4 | 5 | 6 | +----------+----------+----------+ | 7 | 8 | 9 | +----------+----------+----------+ Filter out some data ******************************************************************************** You may want to filter odd rows and print them in an array of dictionaries: .. code-block:: python >>> sheet.filter(row_indices=[0, 2]) >>> sheet.content +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 4 | 5 | 6 | +----------+----------+----------+ Let's try to further filter out even columns: .. code-block:: python >>> sheet.filter(column_indices=[1]) >>> sheet.content +----------+----------+ | Column 1 | Column 3 | +==========+==========+ | 4 | 6 | +----------+----------+ Save the data ************* Let's save the previous filtered data: .. code-block:: python >>> sheet.save_as("example_series_filter.xls") When you open `example_series_filter.xls`, you will find these data ======== ======== Column 1 Column 3 ======== ======== 2 8 ======== ======== .. testcode:: :hide: >>> import os >>> os.unlink("example_series_filter.xls") How to filter out empty rows in my sheet? ************************************************** Suppose you have the following data in a sheet and you want to remove those rows with blanks: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.Sheet([[1,2,3],['','',''],['','',''],[1,2,3]]) You can use :class:`pyexcel.filters.RowValueFilter`, which examines each row, return `True` if the row should be filtered out. So, let's define a filter function: .. code-block:: python >>> def filter_row(row_index, row): ... result = [element for element in row if element != ''] ... return len(result)==0 And then apply the filter on the sheet: .. code-block:: python >>> del sheet.row[filter_row] >>> sheet pyexcel sheet: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ .. testcode:: :hide: >>> os.unlink("example_series.xls") pyexcel-0.7.0/docs/source/showcases/000077500000000000000000000000001420202037400174105ustar00rootroot00000000000000pyexcel-0.7.0/docs/source/showcases/db_injection.rst000066400000000000000000000127771420202037400226070ustar00rootroot00000000000000How to inject csv data to database ========================================== Here is `real case `_ in the stack-overflow. Due to the author's ignorance, the user would like to have the code in matlab than Python. Hence, I am sharing my pyexcel solution here. Problem definition ------------------------- Here is my CSV file:: PDB_Id 123442 234335 234336 3549867 a001 6 0 0 8 b001 4 2 0 0 c003 0 0 0 5 I want to put this data in a MYSQL table in the form:: PROTEIN_ID PROTEIN_KEY VALUE_OF_KEY a001 123442 6 a001 234335 0 a001 234336 0 a001 3549867 8 b001 123442 4 b001 234335 2 b001 234336 0 b001 234336 0 c003 123442 0 c003 234335 0 c003 234336 0 c003 3549867 5 I have created table with the following code:: sql = """CREATE TABLE ALLPROTEINS ( Protein_ID CHAR(20), PROTEIN_KEY INT , VALUE_OF_KEY INT )""" I need the code for insert. Pyexcel solution -------------------- .. testcode:: :hide: >>> data = [ ... [u'PDB_Id', 123442, 234335, 234336, 3549867], ... [u'a001', 6, 0, 0, 8], ... [u'b001', 4, 2, 0, 0], ... [u'c003', 0, 0, 0, 5]] >>> import pyexcel as p >>> p.save_as(array=data, dest_file_name='csv-to-mysql-in-matlab-code.csv', ... dest_delimiter='\t') If you could insert an id field to act as the primary key, it can be mapped using sqlalchemy's ORM:: $ sqlite3 /tmp/stack2.db sqlite> CREATE TABLE ALLPROTEINS ( ...> ID INT, ...> Protein_ID CHAR(20), ...> PROTEIN_KEY INT, ...> VALUE_OF_KEY INT ...> ); Here is the data mapping script vis sqlalchemy: >>> # mapping your database via sqlalchemy >>> from sqlalchemy import create_engine >>> from sqlalchemy.ext.declarative import declarative_base >>> from sqlalchemy import Column, Integer, String >>> from sqlalchemy.orm import sessionmaker >>> # checkout http://docs.sqlalchemy.org/en/latest/dialects/index.html >>> # for a different database server >>> engine = create_engine("sqlite:////tmp/stack2.db") >>> Base = declarative_base() >>> class Proteins(Base): ... __tablename__ = 'ALLPROTEINS' ... id = Column(Integer, primary_key=True, autoincrement=True) # <-- appended field ... protein_id = Column(String(20)) ... protein_key = Column(Integer) ... value_of_key = Column(Integer) >>> Session = sessionmaker(bind=engine) >>> Here is the short script to get data inserted into the database: >>> import pyexcel as p >>> from itertools import product >>> # data insertion code starts here >>> sheet = p.get_sheet(file_name="csv-to-mysql-in-matlab-code.csv", delimiter='\t') >>> sheet.name_columns_by_row(0) >>> sheet.name_rows_by_column(0) >>> print(sheet) csv-to-mysql-in-matlab-code.csv: +------+--------+--------+--------+---------+ | | 123442 | 234335 | 234336 | 3549867 | +======+========+========+========+=========+ | a001 | 6 | 0 | 0 | 8 | +------+--------+--------+--------+---------+ | b001 | 4 | 2 | 0 | 0 | +------+--------+--------+--------+---------+ | c003 | 0 | 0 | 0 | 5 | +------+--------+--------+--------+---------+ >>> results = [] >>> for protein_id, protein_key in product(sheet.rownames, sheet.colnames): ... results.append([protein_id, protein_key, sheet[str(protein_id), protein_key]]) >>> >>> sheet2 = p.get_sheet(array=results) >>> sheet2.colnames = ['protein_id', 'protein_key', 'value_of_key'] >>> print(sheet2) pyexcel_sheet1: +------------+-------------+--------------+ | protein_id | protein_key | value_of_key | +============+=============+==============+ | a001 | 123442 | 6 | +------------+-------------+--------------+ | a001 | 234335 | 0 | +------------+-------------+--------------+ | a001 | 234336 | 0 | +------------+-------------+--------------+ | a001 | 3549867 | 8 | +------------+-------------+--------------+ | b001 | 123442 | 4 | +------------+-------------+--------------+ | b001 | 234335 | 2 | +------------+-------------+--------------+ | b001 | 234336 | 0 | +------------+-------------+--------------+ | b001 | 3549867 | 0 | +------------+-------------+--------------+ | c003 | 123442 | 0 | +------------+-------------+--------------+ | c003 | 234335 | 0 | +------------+-------------+--------------+ | c003 | 234336 | 0 | +------------+-------------+--------------+ | c003 | 3549867 | 5 | +------------+-------------+--------------+ >>> sheet2.save_to_database(session=Session(), table=Proteins) Here is the data inserted:: $ sqlite3 /tmp/stack2.db sqlite> select * from allproteins ...> ; |a001|123442|6 |a001|234335|0 |a001|234336|0 |a001|3549867|8 |b001|123442|4 |b001|234335|2 |b001|234336|0 |b001|234336|0 |c003|123442|0 |c003|234335|0 |c003|234336|0 |c003|3549867|5 pyexcel-0.7.0/docs/source/sources.rst000066400000000000000000000157251420202037400176400ustar00rootroot00000000000000Loading from other sources ================================================================================ Get back into pyexcel ++++++++++++++++++++++++++++++++ list ******************************************************************************** .. code-block :: python >>> import pyexcel as p >>> two_dimensional_list = [ ... [1, 2, 3, 4], ... [5, 6, 7, 8], ... [9, 10, 11, 12], ... ] >>> sheet = p.get_sheet(array=two_dimensional_list) >>> sheet pyexcel_sheet1: +---+----+----+----+ | 1 | 2 | 3 | 4 | +---+----+----+----+ | 5 | 6 | 7 | 8 | +---+----+----+----+ | 9 | 10 | 11 | 12 | +---+----+----+----+ dict *********** .. code-block :: python >>> a_dictionary_of_key_value_pair = { ... "IE": 0.2, ... "Firefox": 0.3 ... } >>> sheet = p.get_sheet(adict=a_dictionary_of_key_value_pair) >>> sheet pyexcel_sheet1: +---------+-----+ | Firefox | IE | +---------+-----+ | 0.3 | 0.2 | +---------+-----+ .. code-block :: python >>> a_dictionary_of_one_dimensional_arrays = { ... "Column 1": [1, 2, 3, 4], ... "Column 2": [5, 6, 7, 8], ... "Column 3": [9, 10, 11, 12], ... } >>> sheet = p.get_sheet(adict=a_dictionary_of_one_dimensional_arrays) >>> sheet pyexcel_sheet1: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 1 | 5 | 9 | +----------+----------+----------+ | 2 | 6 | 10 | +----------+----------+----------+ | 3 | 7 | 11 | +----------+----------+----------+ | 4 | 8 | 12 | +----------+----------+----------+ records ************* .. code-block :: python >>> a_list_of_dictionaries = [ ... { ... "Name": 'Adam', ... "Age": 28 ... }, ... { ... "Name": 'Beatrice', ... "Age": 29 ... }, ... { ... "Name": 'Ceri', ... "Age": 30 ... }, ... { ... "Name": 'Dean', ... "Age": 26 ... } ... ] >>> sheet = p.get_sheet(records=a_list_of_dictionaries) >>> sheet pyexcel_sheet1: +-----+----------+ | Age | Name | +-----+----------+ | 28 | Adam | +-----+----------+ | 29 | Beatrice | +-----+----------+ | 30 | Ceri | +-----+----------+ | 26 | Dean | +-----+----------+ book dict ************** .. code-block :: python >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = p.get_book(bookdict=a_dictionary_of_two_dimensional_arrays) >>> book Sheet 1: +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ | 7.0 | 8.0 | 9.0 | +-----+-----+-----+ Sheet 2: +-----+-----+-----+ | X | Y | Z | +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ Sheet 3: +-----+-----+-----+ | O | P | Q | +-----+-----+-----+ | 3.0 | 2.0 | 1.0 | +-----+-----+-----+ | 4.0 | 3.0 | 2.0 | +-----+-----+-----+ .. testcode:: :hide: >>> from unittest.mock import patch, MagicMock >>> import pyexcel as pe >>> from pyexcel._compact import StringIO, PY2, BytesIO >>> patcher = patch('pyexcel._compact.request.urlopen') >>> urlopen = patcher.start() >>> io = StringIO("1,2,3") if PY2 else BytesIO("1,2,3".encode('utf-8')) >>> x = MagicMock() >>> x.type.return_value = "text/csv" >>> io.info = x >>> urlopen.return_value = io How to load a sheet from a url -------------------------------------------------------------------------------- Suppose you have excel file somewhere hosted:: >>> sheet = pe.get_sheet(url='http://yourdomain.com/test.csv') >>> sheet csv: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ .. testcode:: :hide: >>> patcher.stop() # doctest: +SKIP For sheet -------------------------------------------------------------------------------- Get content ************ .. testcode:: :hide: >>> from unittest.mock import patch, MagicMock >>> import os >>> patcher = patch('pyexcel._compact.request.urlopen') >>> fake_url_open = patcher.start() >>> response = MagicMock() >>> response.type.return_value = 'application/vnd.ms-excel' >>> method = MagicMock() >>> xls_file = open(os.path.join("examples", "basics", "multiple-sheets-example.xls"), 'rb') >>> method.info.return_value = response >>> method.read.return_value = xls_file.read() >>> fake_url_open.return_value = method >>> xls_file.close() .. code-block:: python >>> another_sheet = p.Sheet() >>> another_sheet.url = "https://github.com/pyexcel/pyexcel/raw/master/examples/basics/multiple-sheets-example.xls" >>> another_sheet.content +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ .. testcode:: :hide: >>> patcher.stop() # doctest: +SKIP For book -------------------------------------------------------------------------------- How about setting content via a url? .. testcode:: :hide: >>> from unittest.mock import patch, MagicMock >>> import os >>> patcher = patch('pyexcel._compact.request.urlopen') >>> fake_url_open = patcher.start() >>> response = MagicMock() >>> response.type.return_value = 'application/vnd.ms-excel' >>> method = MagicMock() >>> xls_file = open(os.path.join("examples", "basics", "multiple-sheets-example.xls"), 'rb') >>> method.info.return_value = response >>> method.read.return_value = xls_file.read() >>> fake_url_open.return_value = method >>> xls_file.close() .. code-block:: python >>> another_book = p.Book() >>> another_book.url = "https://github.com/pyexcel/pyexcel/raw/master/examples/basics/multiple-sheets-example.xls" >>> another_book Sheet 1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ Sheet 2: +---+---+---+ | X | Y | Z | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ Sheet 3: +---+---+---+ | O | P | Q | +---+---+---+ | 3 | 2 | 1 | +---+---+---+ | 4 | 3 | 2 | +---+---+---+ .. testcode:: :hide: >>> patcher.stop() # doctest: +SKIP pyexcel-0.7.0/docs/source/spelling_wordlist.txt000066400000000000000000000015631420202037400217230ustar00rootroot00000000000000pyexcel xlsx io tsv tsvz csv csvz xls ods xlsm xlsx rst mediawiki json html ordereddict param django bookdict url sql dest mapdict init func txt rnd cd moban github pypy userid py datetime filelist outfilename sheetname stdin sys stdout filename aset formatter aformatter afilter arg topleft cli Numpy bottomright rStructured colnames rownames PyPy nbsp middleware Pythonic formatters lineterminator initializer NamedColumn NamedRow RowValueFilter SingleColumnFilter NamedRowFormatter RowFormatter ColumnFormatter sqlalchemy adict initializers rrows rvertical getitem OddRowFilter RegionFilter versa centric de facto organisations ezodf odfpy plugin plugins uninstall transcoding isave Jupyter BookWriter texttable utf getvalue SheetFormatter querysets wiki java online dict rcolumns iget BookStream SheetStream lxml orgtbl handsontable svg setuptools RWManager conf whl Ceri Libre pyexcel-0.7.0/docs/source/tutorial.rst000066400000000000000000000302371420202037400200130ustar00rootroot00000000000000Sheet: Data Access =================== Iterate a csv file ---------------------------- Here is the way to read the csv file and iterate through each row: .. testcode:: :hide: >>> import pyexcel >>> pyexcel.save_as(array=[['Name', 'Age'], ['Chu Chu', '10'], ['Mo mo', '11']], ... dest_file_name='tutorial.csv') .. code-block:: python >>> sheet = pyexcel.get_sheet(file_name='tutorial.csv') >>> for row in sheet: ... print("%s: %s" % (row[0], row[1])) Name: Age Chu Chu: 10 Mo mo: 11 Often people wanted to use csv.Dict reader to read it because it has a header. Here is how you do it with pyexcel: .. code-block:: python :linenos: >>> sheet = pyexcel.get_sheet(file_name='tutorial.csv') >>> sheet.name_columns_by_row(0) >>> for row in sheet: ... print("%s: %s" % (row[0], row[1])) Chu Chu: 10 Mo mo: 11 Line 2 remove the header from the actual content. The removed header can be used to access its columns using the name itself, for example: .. code-block:: python >>> sheet.column['Age'] [10, 11] .. _access-to-cell: Random access to individual cell -------------------------------- Top left corner of a sheet is (0, 0), meaning both row index and column index start from 0. To randomly access a cell of :class:`~pyexcel.Sheet` instance, two syntax are available:: sheet[row, column] This syntax helps you iterate the data by row and by column. If you use excel positions, the syntax below help you get the cell instantly without converting alphabet column index to integer:: sheet['A1'] Please note that with excel positions, top left corner is 'A1'. For example: suppose you have the following data sheet, .. pyexcel-table:: ---pyexcel:example data--- Example,X,Y,Z a,1,2,3 b,4,5,6 c,7,8,9 here is the example code showing how you can randomly access a cell: .. testcode:: :hide: >>> data = [['Example', 'X', 'Y', 'Z'], ['a', 1, 2, 3],['b', 4, 5, 6],['c', 7, 8, 9]] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") .. testcode:: >>> sheet = pyexcel.get_sheet(file_name="example.xls") >>> sheet.content +---------+---+---+---+ | Example | X | Y | Z | +---------+---+---+---+ | a | 1 | 2 | 3 | +---------+---+---+---+ | b | 4 | 5 | 6 | +---------+---+---+---+ | c | 7 | 8 | 9 | +---------+---+---+---+ >>> print(sheet[3, 2]) 8 >>> print(sheet["D3"]) 6 >>> sheet[2, 3] = 10 >>> print(sheet[2, 3]) 10 .. note:: In order to set a value to a cell, please use sheet[row_index, column_index] = new_value Random access to rows and columns --------------------------------- .. testcode:: :hide: >>> sheet[1, 0] = str(sheet[1, 0]) >>> str(sheet[1,0]) 'a' >>> sheet[0, 2] = str(sheet[0, 2]) >>> sheet[0, 2] 'Y' Continue with previous excel file, you can access row and column separately:: >>> sheet.row[1] ['a', 1, 2, 3] >>> sheet.column[2] ['Y', 2, 5, 8] Use custom names instead of index --------------------------------- Alternatively, it is possible to use the first row to refer to each columns:: >>> sheet.name_columns_by_row(0) >>> print(sheet[1, "Y"]) 5 >>> sheet[1, "Y"] = 100 >>> print(sheet[1, "Y"]) 100 You have noticed the row index has been changed. It is because first row is taken as the column names, hence all rows after the first row are shifted. Now accessing the columns are changed too:: >>> sheet.column['Y'] [2, 100, 8] Hence access the same cell, this statement also works:: >>> sheet.column['Y'][1] 100 Further more, it is possible to use first column to refer to each rows:: >>> sheet.name_rows_by_column(0) To access the same cell, we can use this line:: >>> sheet.row["b"][1] 100 For the same reason, the row index has been reduced by 1. Since we have named columns and rows, it is possible to access the same cell like this:: >>> print(sheet["b", "Y"]) 100 >>> sheet["b", "Y"] = 200 >>> print(sheet["b", "Y"]) 200 .. note:: When you have named your rows and columns, in order to set a value to a cell, please use sheet[row_name, column_name] = new_value For multiple sheet file, you can regard it as three dimensional array if you use :class:`~pyexcel.Book`. So, you access each cell via this syntax:: book[sheet_index][row, column] or:: book["sheet_name"][row, column] Suppose you have the following sheets: .. pyexcel-table:: ---pyexcel:Sheet 1--- 1,2,3 4,5,6 7,8,9 ---pyexcel--- ---pyexcel:Sheet 2--- X,Y,Z 1,2,3 4,5,6 ---pyexcel--- ---pyexcel:Sheet 3--- O,P,Q 3,2,1 4,3,2 .. testcode:: :hide: >>> data = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = pyexcel.Book(data) >>> book.save_as("example.xls") And you can randomly access a cell in a sheet:: >>> book = pyexcel.get_book(file_name="example.xls") >>> print(book["Sheet 1"][0,0]) 1 >>> print(book[0][0,0]) # the same cell 1 .. TIP:: With pyexcel, you can regard single sheet reader as an two dimensional array and multi-sheet excel book reader as a ordered dictionary of two dimensional arrays. Reading a single sheet excel file --------------------------------- Suppose you have a csv, xls, xlsx file as the following: .. pyexcel-table:: ---pyexcel:example data--- 1,2,3 4,5,6 7,8,9 .. testcode:: :hide: >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") The following code will give you the data in json:: >>> import json >>> # "example.csv","example.xlsx","example.xlsm" >>> sheet = pyexcel.get_sheet(file_name="example.xls") >>> print(json.dumps(sheet.to_array())) [[1, 2, 3], [4, 5, 6], [7, 8, 9]] Read the sheet as a dictionary ****************************** Suppose you have a csv, xls, xlsx file as the following: .. pyexcel-table:: ---pyexcel:data with columns--- Column 1,Column 2,Column 3 1,4,7 2,5,8 3,6,9 .. testcode:: :hide: >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example_series.xls") The following code will give you data series in a dictionary: .. testcode:: >>> # "example.xls","example.xlsx","example.xlsm" >>> sheet = pyexcel.get_sheet(file_name="example_series.xls", name_columns_by_row=0) .. testcode:: :hide: >>> sheet.colnames = [ str(name) for name in sheet.colnames] .. testcode:: >>> sheet.to_dict() OrderedDict([('Column 1', [1, 4, 7]), ('Column 2', [2, 5, 8]), ('Column 3', [3, 6, 9])]) Can I get an array of dictionaries per each row? ************************************************* Suppose you have the following data: .. pyexcel-table:: ---pyexcel:data with columns--- X,Y,Z 1,2,3 4,5,6 7,8,9 .. testcode:: :hide: >>> data = [['X', 'Y', 'Z'], [1, 2, 3],[4, 5, 6],[7, 8, 9]] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") The following code will produce what you want:: >>> # "example.csv","example.xlsx","example.xlsm" >>> sheet = pyexcel.get_sheet(file_name="example.xls", name_columns_by_row=0) >>> records = sheet.to_records() >>> for record in records: ... keys = sorted(record.keys()) ... print("{") ... for key in keys: ... print("'%s':%d" % (key, record[key])) ... print("}") { 'X':1 'Y':2 'Z':3 } { 'X':4 'Y':5 'Z':6 } { 'X':7 'Y':8 'Z':9 } Writing a single sheet excel file --------------------------------- Suppose you have an array as the following: = = = 1 2 3 4 5 6 7 8 9 = = = The following code will write it as an excel file of your choice:: .. testcode:: >>> array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] >>> # "output.xls" "output.xlsx" "output.ods" "output.xlsm" >>> sheet = pyexcel.Sheet(array) >>> sheet.save_as("output.csv") Suppose you have a dictionary as the following: .. pyexcel-table:: ---pyexcel:data with columns--- Column 1,Column 2,Column 3 1,4,7 2,5,8 3,6,9 The following code will write it as an excel file of your choice:: >>> example_dict = {"Column 1": [1, 2, 3], "Column 2": [4, 5, 6], "Column 3": [7, 8, 9]} >>> # "output.xls" "output.xlsx" "output.ods" "output.xlsm" >>> sheet = pyexcel.get_sheet(adict=example_dict) >>> sheet.save_as("output.csv") Write multiple sheet excel file ------------------------------- Suppose you have previous data as a dictionary and you want to save it as multiple sheet excel file:: >>> content = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = pyexcel.get_book(bookdict=content) >>> book.save_as("output.xls") You shall get a xls file Read multiple sheet excel file ------------------------------ Let's read the previous file back: >>> book = pyexcel.get_book(file_name="output.xls") >>> sheets = book.to_dict() >>> for name in sheets.keys(): ... print(name) Sheet 1 Sheet 2 Sheet 3 Work with data series in a single sheet --------------------------------------- Suppose you have the following data in any of the supported excel formats again: .. pyexcel-table:: ---pyexcel:data with columns--- Column 1,Column 2,Column 3 1,4,7 2,5,8 3,6,9 .. testcode:: >>> sheet = pyexcel.get_sheet(file_name="example_series.xls", name_columns_by_row=0) .. testcode:: :hide: >>> sheet.colnames = [ str(name) for name in sheet.colnames] Play with data ************** You can get headers:: >>> print(list(sheet.colnames)) ['Column 1', 'Column 2', 'Column 3'] You can use a utility function to get all in a dictionary:: >>> sheet.to_dict() OrderedDict([('Column 1', [1, 4, 7]), ('Column 2', [2, 5, 8]), ('Column 3', [3, 6, 9])]) Maybe you want to get only the data without the column headers. You can call :meth:`~pyexcel.Sheet.rows()` instead:: >>> list(sheet.rows()) [[1, 2, 3], [4, 5, 6], [7, 8, 9]] You can get data from the bottom to the top one by calling :meth:`~pyexcel.Sheet.rrows()` instead:: >>> list(sheet.rrows()) [[7, 8, 9], [4, 5, 6], [1, 2, 3]] You might want the data arranged vertically. You can call :meth:`~pyexcel.Sheet.columns()` instead:: >>> list(sheet.columns()) [[1, 4, 7], [2, 5, 8], [3, 6, 9]] You can get columns in reverse sequence as well by calling :meth:`~pyexcel.Sheet.rcolumns()` instead:: >>> list(sheet.rcolumns()) [[3, 6, 9], [2, 5, 8], [1, 4, 7]] Do you want to flatten the data? You can get the content in one dimensional array. If you are interested in playing with one dimensional enumeration, you can check out these functions :meth:`~pyexcel.Sheet.enumerate`, :meth:`~pyexcel.Sheet.reverse`, :meth:`~pyexcel.Sheet.vertical`, and :meth:`~pyexcel.Sheet.rvertical()`:: >>> list(sheet.enumerate()) [1, 2, 3, 4, 5, 6, 7, 8, 9] >>> list(sheet.reverse()) [9, 8, 7, 6, 5, 4, 3, 2, 1] >>> list(sheet.vertical()) [1, 4, 7, 2, 5, 8, 3, 6, 9] >>> list(sheet.rvertical()) [9, 6, 3, 8, 5, 2, 7, 4, 1] .. testcode:: :hide: >>> import os >>> os.unlink("output.xls") >>> os.unlink("output.csv") >>> os.unlink("example.xls") >>> os.unlink("example_series.xls") >>> os.unlink("tutorial.csv") pyexcel-0.7.0/docs/source/tutorial02.rst000066400000000000000000000061351420202037400201550ustar00rootroot00000000000000 Sheet: Data filtering ====================== use :meth:`~pyexcel.Sheet.filter` function to apply a filter immediately. The content is modified. Suppose you have the following data in any of the supported excel formats: ======== ======== ======== Column 1 Column 2 Column 3 ======== ======== ======== 1 4 7 2 5 8 3 6 9 ======== ======== ======== >>> import pyexcel .. testcode:: :hide: >>> import os >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example_series.xls") .. code-block:: python >>> sheet = pyexcel.get_sheet(file_name="example_series.xls", name_columns_by_row=0) >>> sheet.content +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 2 | 3 | +----------+----------+----------+ | 4 | 5 | 6 | +----------+----------+----------+ | 7 | 8 | 9 | +----------+----------+----------+ Filter out some data -------------------------- You may want to filter odd rows and print them in an array of dictionaries: .. code-block:: python >>> sheet.filter(row_indices=[0, 2]) >>> sheet.content +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 4 | 5 | 6 | +----------+----------+----------+ Let's try to further filter out even columns: .. code-block:: python >>> sheet.filter(column_indices=[1]) >>> sheet.content +----------+----------+ | Column 1 | Column 3 | +==========+==========+ | 4 | 6 | +----------+----------+ Save the data ************* Let's save the previous filtered data: .. code-block:: python >>> sheet.save_as("example_series_filter.xls") When you open `example_series_filter.xls`, you will find these data ======== ======== Column 1 Column 3 ======== ======== 2 8 ======== ======== .. testcode:: :hide: >>> import os >>> os.unlink("example_series_filter.xls") How to filter out empty rows in my sheet? ************************************************** Suppose you have the following data in a sheet and you want to remove those rows with blanks: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.Sheet([[1,2,3],['','',''],['','',''],[1,2,3]]) You can use :class:`pyexcel.filters.RowValueFilter`, which examines each row, return `True` if the row should be filtered out. So, let's define a filter function: .. code-block:: python >>> def filter_row(row_index, row): ... result = [element for element in row if element != ''] ... return len(result)==0 And then apply the filter on the sheet: .. code-block:: python >>> del sheet.row[filter_row] >>> sheet pyexcel sheet: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ .. testcode:: :hide: >>> os.unlink("example_series.xls") pyexcel-0.7.0/docs/source/tutorial03.rst000066400000000000000000000060011420202037400201460ustar00rootroot00000000000000.. _formatting: Sheet: Formatting =================== Previous section has assumed the data is in the format that you want. In reality, you have to manipulate the data types a bit to suit your needs. Hence, formatters comes into the scene. use :meth:`~pyexcel.Sheet.format` to apply formatter immediately. .. note:: **int**, **float** and **datetime** values are automatically detected in **csv** files since **pyexcel** version 0.2.2 Convert a column of numbers to strings -------------------------------------- Suppose you have the following data: .. code-block:: python >>> import pyexcel >>> data = [ ... ["userid","name"], ... [10120,"Adam"], ... [10121,"Bella"], ... [10122,"Cedar"] ... ] >>> sheet = pyexcel.Sheet(data) >>> sheet.name_columns_by_row(0) >>> sheet.column["userid"] [10120, 10121, 10122] As you can see, `userid` column is of `int` type. Next, let's convert the column to string format: .. code-block:: python >>> sheet.column.format("userid", str) >>> sheet.column["userid"] ['10120', '10121', '10122'] .. _cleansing: Cleanse the cells in a spread sheet ----------------------------------- Sometimes, the data in a spreadsheet may have unwanted strings in all or some cells. Let's take an example. Suppose we have a spread sheet that contains all strings but it as random spaces before and after the text values. Some field had weird characters, such as "  ": .. code-block:: python >>> data = [ ... [" Version", " Comments", " Author  "], ... [" v0.0.1 ", " Release versions","  Eda"], ... ["  v0.0.2 ", "Useful updates    ", "  Freud"] ... ] >>> sheet = pyexcel.Sheet(data) >>> sheet.content +-----------------+------------------------------+----------------------+ | Version | Comments | Author   | +-----------------+------------------------------+----------------------+ | v0.0.1 | Release versions |  Eda | +-----------------+------------------------------+----------------------+ |   v0.0.2 | Useful updates     |  Freud | +-----------------+------------------------------+----------------------+ Now try to create a custom cleanse function:: .. code-block:: python >>> def cleanse_func(v): ... v = v.replace(" ", "") ... v = v.rstrip().strip() ... return v ... Then let's create a :class:`~pyexcel.SheetFormatter` and apply it:: .. code-block:: python >>> sheet.map(cleanse_func) So in the end, you get this: .. code-block:: python >>> sheet.content +---------+------------------+--------+ | Version | Comments | Author | +---------+------------------+--------+ | v0.0.1 | Release versions | Eda | +---------+------------------+--------+ | v0.0.2 | Useful updates | Freud | +---------+------------------+--------+ pyexcel-0.7.0/docs/source/tutorial04.rst000066400000000000000000000136561420202037400201650ustar00rootroot00000000000000Book: Sheet operations ========================= Access to individual sheets ----------------------------- .. testcode:: :hide: >>> import pyexcel >>> data = { ... 'sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'sheet2': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ], ... 'sheet3': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ] ... } >>> pyexcel.save_book_as(bookdict=data, dest_file_name="book.xls") You can access individual sheet of a book via attribute: >>> book = pyexcel.get_book(file_name="book.xls") >>> book.sheet3 sheet3: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ or via array notations: >>> book["sheet 1"] # there is a space in the sheet name sheet 1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ Merge excel books ---------------------- Suppose you have two excel books and each had three sheets. You can merge them and get a new book: .. testcode:: :hide: >>> data = { ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ], ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ] ... } >>> book = pyexcel.Book(data) >>> book.save_as("book1.xls") >>> book.save_as("book2.xlsx") You also can merge individual sheets:: >>> book1 = pyexcel.get_book(file_name="book1.xls") >>> book2 = pyexcel.get_book(file_name="book2.xlsx") >>> merged_book = book1 + book2 >>> merged_book = book1["Sheet 1"] + book2["Sheet 2"] >>> merged_book = book1["Sheet 1"] + book2 >>> merged_book = book1 + book2["Sheet 2"] Manipulate individual sheets ----------------------------- merge sheets into a single sheet ********************************* Suppose you want to merge many csv files row by row into a new sheet. >>> import glob >>> merged = pyexcel.Sheet() >>> for file in glob.glob("*.csv"): ... merged.row += pyexcel.get_sheet(file_name=file) >>> merged.save_as("merged.csv") How do I read a book, process it and save to a new book -------------------------------------------------------------------------------- Yes, you can do that. The code looks like this:: import pyexcel book = pyexcel.get_book(file_name="yourfile.xls") for sheet in book: # do you processing with sheet # do filtering? pass book.save_as("output.xls") What would happen if I save a multi sheet book into "csv" file -------------------------------------------------------------------------------- Well, you will get one csv file per each sheet. Suppose you have these code: .. code-block:: python >>> content = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> book = pyexcel.Book(content) >>> book.save_as("myfile.csv") You will end up with three csv files: .. code-block:: python >>> import glob >>> outputfiles = glob.glob("myfile_*.csv") >>> for file in sorted(outputfiles): ... print(file) ... myfile__Sheet 1__0.csv myfile__Sheet 2__1.csv myfile__Sheet 3__2.csv and their content is the value of the dictionary at the corresponding key .. testcode:: :hide: >>> import os >>> os.unlink("myfile__Sheet 1__0.csv") >>> os.unlink("myfile__Sheet 2__1.csv") >>> os.unlink("myfile__Sheet 3__2.csv") Alternatively, you could use :meth:`~pyexcel.save_book_as` function .. code-block:: python >>> pyexcel.save_book_as(bookdict=content, dest_file_name="myfile.csv") After I have saved my multiple sheet book in csv format, how do I get them back -------------------------------------------------------------------------------- First of all, you can read them back individual as csv file using `meth:~pyexcel.get_sheet` method. Secondly, the pyexcel can do the magic to load all of them back into a book. You will just need to provide the common name before the separator "__": .. code-block:: python >>> book2 = pyexcel.get_book(file_name="myfile.csv") >>> book2 Sheet 1: +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ | 7.0 | 8.0 | 9.0 | +-----+-----+-----+ Sheet 2: +-----+-----+-----+ | X | Y | Z | +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ Sheet 3: +-----+-----+-----+ | O | P | Q | +-----+-----+-----+ | 3.0 | 2.0 | 1.0 | +-----+-----+-----+ | 4.0 | 3.0 | 2.0 | +-----+-----+-----+ .. testcode:: :hide: >>> import os >>> os.unlink("myfile__Sheet 1__0.csv") >>> os.unlink("myfile__Sheet 2__1.csv") >>> os.unlink("myfile__Sheet 3__2.csv") >>> os.unlink("book.xls") >>> os.unlink("book1.xls") >>> os.unlink("book2.xlsx") >>> os.unlink("merged.csv") pyexcel-0.7.0/docs/source/tutorial05.rst000066400000000000000000000145441420202037400201630ustar00rootroot00000000000000Sheet: Data manipulation ============================ The data in a sheet is represented by :class:`~pyexcel.Sheet` which maintains the data as a list of lists. You can regard :class:`~pyexcel.Sheet` as a two dimensional array with additional iterators. Random access to individual column and row is exposed by :class:`~pyexcel.sheets.column.Column` and :class:`~pyexcel.sheets.row.Row` Column manipulation ----------------------------- .. testcode:: :hide: >>> import pyexcel >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 4, 7], ... [2, 5, 8], ... [3, 6, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example.xls") Suppose have one data file as the following: .. code-block:: python >>> sheet = pyexcel.get_sheet(file_name="example.xls", name_columns_by_row=0) >>> sheet pyexcel sheet: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 4 | 7 | +----------+----------+----------+ | 2 | 5 | 8 | +----------+----------+----------+ | 3 | 6 | 9 | +----------+----------+----------+ And you want to update ``Column 2`` with these data: [11, 12, 13] .. code-block:: python >>> sheet.column["Column 2"] = [11, 12, 13] >>> sheet.column[1] [11, 12, 13] >>> sheet pyexcel sheet: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 11 | 7 | +----------+----------+----------+ | 2 | 12 | 8 | +----------+----------+----------+ | 3 | 13 | 9 | +----------+----------+----------+ Remove one column of a data file ********************************* If you want to remove ``Column 2``, you can just call: .. code-block:: python >>> del sheet.column["Column 2"] >>> sheet.column["Column 3"] [7, 8, 9] The sheet content will become: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+ | Column 1 | Column 3 | +==========+==========+ | 1 | 7 | +----------+----------+ | 2 | 8 | +----------+----------+ | 3 | 9 | +----------+----------+ Append more columns to a data file ------------------------------------ Continue from previous example. Suppose you want add two more columns to the data file ======== ======== Column 4 Column 5 ======== ======== 10 13 11 14 12 15 ======== ======== Here is the example code to append two extra columns: .. code-block:: python >>> extra_data = [ ... ["Column 4", "Column 5"], ... [10, 13], ... [11, 14], ... [12, 15] ... ] >>> sheet2 = pyexcel.Sheet(extra_data) >>> sheet.column += sheet2 >>> sheet.column["Column 4"] [10, 11, 12] >>> sheet.column["Column 5"] [13, 14, 15] Here is what you will get: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+----------+----------+ | Column 1 | Column 3 | Column 4 | Column 5 | +==========+==========+==========+==========+ | 1 | 7 | 10 | 13 | +----------+----------+----------+----------+ | 2 | 8 | 11 | 14 | +----------+----------+----------+----------+ | 3 | 9 | 12 | 15 | +----------+----------+----------+----------+ Cherry pick some columns to be removed *************************************** Suppose you have the following data: .. code-block:: python >>> data = [ ... ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'], ... [1,2,3,4,5,6,7,9], ... ] >>> sheet = pyexcel.Sheet(data, name_columns_by_row=0) >>> sheet pyexcel sheet: +---+---+---+---+---+---+---+---+ | a | b | c | d | e | f | g | h | +===+===+===+===+===+===+===+===+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 9 | +---+---+---+---+---+---+---+---+ And you want to remove columns named as: 'a', 'c, 'e', 'h'. This is how you do it: .. code-block:: python >>> del sheet.column['a', 'c', 'e', 'h'] >>> sheet pyexcel sheet: +---+---+---+---+ | b | d | f | g | +===+===+===+===+ | 2 | 4 | 6 | 7 | +---+---+---+---+ What if the headers are in a different row -------------------------------------------- .. testcode:: :hide: >>> data = [ ... [1, 2, 3], ... ["Column 1", "Column 2", "Column 3"], ... [4, 5, 6] ... ] >>> sheet = pyexcel.Sheet(data) Suppose you have the following data: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+----------+ | 1 | 2 | 3 | +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 4 | 5 | 6 | +----------+----------+----------+ The way to name your columns is to use index 1: .. code-block:: python >>> sheet.name_columns_by_row(1) Here is what you get: .. code-block:: python >>> sheet pyexcel sheet: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 2 | 3 | +----------+----------+----------+ | 4 | 5 | 6 | +----------+----------+----------+ Row manipulation ---------------------- .. testcode:: :hide: >>> data = [ ... ["a", "b", "c", "Row 1"], ... ["e", "f", "g", "Row 2"], ... [1, 2, 3, "Row 3"] ... ] >>> sheet = pyexcel.Sheet(data) Suppose you have the following data: .. code-block:: python >>> sheet pyexcel sheet: +---+---+---+-------+ | a | b | c | Row 1 | +---+---+---+-------+ | e | f | g | Row 2 | +---+---+---+-------+ | 1 | 2 | 3 | Row 3 | +---+---+---+-------+ You can name your rows by column index at 3: .. code-block:: python >>> sheet.name_rows_by_column(3) >>> sheet pyexcel sheet: +-------+---+---+---+ | Row 1 | a | b | c | +-------+---+---+---+ | Row 2 | e | f | g | +-------+---+---+---+ | Row 3 | 1 | 2 | 3 | +-------+---+---+---+ Then you can access rows by its name: .. code-block:: python >>> sheet.row["Row 1"] ['a', 'b', 'c'] .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") pyexcel-0.7.0/docs/source/tutorial06.rst000066400000000000000000000075041420202037400201620ustar00rootroot00000000000000=============================== Work with excel files in memory =============================== Excel files in memory can be manipulated directly without saving it to physical disk and vice versa. This is useful in excel file handling at file upload or in excel file download. For example: .. code-block:: python >>> import pyexcel >>> content = "1,2,3\n3,4,5" >>> sheet = pyexcel.get_sheet(file_type="csv", file_content=content) >>> sheet.csv '1,2,3\r\n3,4,5\r\n' file type as its attributes -------------------------------------------------------------------------------- Since version 0.3.0, each supported file types became an attribute of the Sheet and Book class. What it means is that: #. Read the content in memory #. Set the content in memory For example, after you have your Sheet and Book instance, you could access its content in a support file type by using its dot notation. The code in previous section could be rewritten as: .. code-block:: python >>> import pyexcel >>> content = "1,2,3\n3,4,5" >>> sheet = pyexcel.Sheet() >>> sheet.csv = content >>> sheet.array [[1, 2, 3], [3, 4, 5]] Read any supported excel and respond its content in json ---------------------------------------------------------------------- You can find a real world example in **examples/memoryfile/** directory: pyexcel_server.py. Here is the example snippet .. code-block:: python :linenos: :emphasize-lines: 4,5,8,10 def upload(): if request.method == 'POST' and 'excel' in request.files: # handle file upload filename = request.files['excel'].filename extension = filename.split(".")[-1] # Obtain the file extension and content # pass a tuple instead of a file name content = request.files['excel'].read() if sys.version_info[0] > 2: # in order to support python 3 # have to decode bytes to str content = content.decode('utf-8') sheet = pe.get_sheet(file_type=extension, file_content=content) # then use it as usual sheet.name_columns_by_row(0) # respond with a json return jsonify({"result": sheet.dict}) return render_template('upload.html') **request.files['excel']** in line 4 holds the file object. line 5 finds out the file extension. line 13 obtains a sheet instance. line 15 uses the first row as data header. line 17 sends the json representation of the excel file back to client browser. Write to memory and respond to download ------------------------------------------- .. code-block:: python :linenos: data = [ [...], ... ] @app.route('/download') def download(): sheet = pe.Sheet(data) output = make_response(sheet.csv) output.headers["Content-Disposition"] = "attachment; filename=export.csv" output.headers["Content-type"] = "text/csv" return output **make_response** is a Flask utility to make a memory content as http response. .. note:: You can find the corresponding source code at `examples/memoryfile `_ Relevant packages ================= Readily made plugins have been made on top of this example. Here is a list of them: ============== ============================ framework plugin/middleware/extension ============== ============================ Flask `Flask-Excel`_ Django `django-excel`_ Pyramid `pyramid-excel`_ ============== ============================ .. _Flask-Excel: https://github.com/chfw/Flask-Excel .. _django-excel: https://github.com/chfw/django-excel .. _pyramid-excel: https://github.com/chfw/pyramid-excel And you may make your own by using `pyexcel-webio `_ pyexcel-0.7.0/docs/source/tutorial_data_conversion.rst000066400000000000000000000274051420202037400232540ustar00rootroot00000000000000Sheet: Data conversion ======================= .. _get_records_from_an_excel_sheet: How to obtain records from an excel sheet ------------------------------------------- .. testcode:: :hide: >>> import pyexcel as pe >>> from pyexcel._compact import OrderedDict >>> content = OrderedDict() >>> content.update({"Name": ["Adam", "Beatrice", "Ceri", "Dean"]}) >>> content.update({"Age": [28, 29, 30, 26]}) >>> pe.save_as(adict=content, dest_file_name="your_file.xls") Suppose you want to process the following excel data : .. pyexcel-table:: ---pyexcel:example table--- Name,Age Adam,28 Beatrice,29 Ceri,30 Dean,26 Here are the example code:: >>> import pyexcel as pe >>> records = pe.get_records(file_name="your_file.xls") >>> for record in records: ... print("%s is aged at %d" % (record['Name'], record['Age'])) Adam is aged at 28 Beatrice is aged at 29 Ceri is aged at 30 Dean is aged at 26 .. _save_an_array_to_an_excel_sheet: How to save an python array as an excel file --------------------------------------------- Suppose you have the following array:: >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file :: >>> import pyexcel >>> pyexcel.save_as(array=data, dest_file_name="example.xls") Let's verify it:: >>> pyexcel.get_sheet(file_name="example.xls") pyexcel_sheet1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") .. _save_an_array_to_a_csv_with_custom_delimiter: How to save an python array as a csv file with special delimiter -------------------------------------------------------------------- Suppose you have the following array:: >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file :: >>> import pyexcel >>> pyexcel.save_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':') Let's verify it:: >>> with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9 .. testcode:: :hide: >>> import os >>> os.unlink("example.csv") .. _get_a_dict_from_an_excel_sheet: How to get a dictionary from an excel sheet -------------------------------------------- Suppose you have a csv, xls, xlsx file as the following: .. pyexcel-table:: ---pyexcel:data with columns--- Column 1,Column 2,Column 3 1,4,7 2,5,8 3,6,9 .. testcode:: :hide: >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 2, 3], ... [4, 5, 6], ... [7, 8, 9] ... ] >>> s = pyexcel.Sheet(data) >>> s.save_as("example_series.xls") The following code will give you data series in a dictionary: .. testcode:: >>> import pyexcel >>> from pyexcel._compact import OrderedDict >>> my_dict = pyexcel.get_dict(file_name="example_series.xls", name_columns_by_row=0) >>> isinstance(my_dict, OrderedDict) True >>> for key, values in my_dict.items(): ... print({str(key): values}) {'Column 1': [1, 4, 7]} {'Column 2': [2, 5, 8]} {'Column 3': [3, 6, 9]} Please note that my_dict is an OrderedDict. .. testcode:: :hide: >>> import os >>> os.unlink("example_series.xls") .. _get_an_book_dict_from_an_excel_book: How to obtain a dictionary from a multiple sheet book ------------------------------------------------------- .. testcode:: :hide: >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } >>> data = OrderedDict() >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> pyexcel.save_book_as(bookdict=data, dest_file_name="book.xls") Suppose you have a multiple sheet book as the following: .. pyexcel-table:: ---pyexcel:Sheet 1--- 1,2,3 4,5,6 7,8,9 ---pyexcel--- ---pyexcel:Sheet 2--- X,Y,Z 1,2,3 4,5,6 ---pyexcel--- ---pyexcel:Sheet 3--- O,P,Q 3,2,1 4,3,2 Here is the code to obtain those sheets as a single dictionary:: >>> import pyexcel >>> import json >>> book_dict = pyexcel.get_book_dict(file_name="book.xls") >>> isinstance(book_dict, OrderedDict) True >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} .. testcode:: :hide: >>> import os >>> os.unlink("book.xls") .. _save_an_book_dict_to_an_excel_book: How to save a dictionary of two dimensional array as an excel file -------------------------------------------------------------------- Suppose you want to save the below dictionary to an excel file :: >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } Here is the code:: >>> pyexcel.save_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... ) If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example:: >>> data = OrderedDict() >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> pyexcel.save_book_as(bookdict=data, dest_file_name="book.xls") Let's verify its order:: >>> book_dict = pyexcel.get_book_dict(file_name="book.xls") >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Please notice that "Sheet 2" is the first item in the *book_dict*, meaning the order of sheets are preserved. .. testcode:: :hide: >>> import os >>> os.unlink("book.xls") .. _import_excel_sheet_into_a_database_table: How to import an excel sheet to a database using SQLAlchemy ------------------------------------------------------------ .. NOTE:: You can find the complete code of this example in examples folder on github Before going ahead, let's import the needed components and initialize sql engine and table base:: >>> from sqlalchemy import create_engine >>> from sqlalchemy.ext.declarative import declarative_base >>> from sqlalchemy import Column , Integer, String, Float, Date >>> from sqlalchemy.orm import sessionmaker >>> engine = create_engine("sqlite:///birth.db") >>> Base = declarative_base() >>> Session = sessionmaker(bind=engine) Let's suppose we have the following database model: >>> class BirthRegister(Base): ... __tablename__='birth' ... id=Column(Integer, primary_key=True) ... name=Column(String) ... weight=Column(Float) ... birth=Column(Date) Let's create the table:: >>> Base.metadata.create_all(engine) Now here is a sample excel file to be saved to the table: .. pyexcel-table:: ---pyexcel:data table--- name,weight,birth Adam,3.4,2015-02-03 Smith,4.2,2014-11-12 .. testcode:: :hide: >>> import datetime >>> data = [ ... ["name", "weight", "birth"], ... ["Adam", 3.4, datetime.date(2015, 2, 3)], ... ["Smith", 4.2, datetime.date(2014, 11, 12)] ... ] >>> pyexcel.save_as(array=data, dest_file_name="birth.xls") Here is the code to import it: >>> session = Session() # obtain a sql session >>> pyexcel.save_as(file_name="birth.xls", name_columns_by_row=0, dest_session=session, dest_table=BirthRegister) Done it. It is that simple. Let's verify what has been imported to make sure. >>> sheet = pyexcel.get_sheet(session=session, table=BirthRegister) >>> sheet birth: +------------+----+-------+--------+ | birth | id | name | weight | +------------+----+-------+--------+ | 2015-02-03 | 1 | Adam | 3.4 | +------------+----+-------+--------+ | 2014-11-12 | 2 | Smith | 4.2 | +------------+----+-------+--------+ .. testcode:: :hide: >>> session.close() >>> os.unlink('birth.db') .. _save_a_xls_as_a_csv: How to open an xls file and save it as csv ------------------------------------------- .. testcode:: :hide: >>> import datetime >>> data = [ ... ["name", "weight", "birth"], ... ["Adam", 3.4, datetime.date(2015, 2, 3)], ... ["Smith", 4.2, datetime.date(2014, 11, 12)] ... ] >>> pyexcel.save_as(array=data, dest_file_name="birth.xls") Suppose we want to save previous used example 'birth.xls' as a csv file :: >>> import pyexcel >>> pyexcel.save_as(file_name="birth.xls", dest_file_name="birth.csv") Again it is really simple. Let's verify what we have gotten: >>> sheet = pyexcel.get_sheet(file_name="birth.csv") >>> sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. NOTE:: Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job. .. _save_a_xls_as_a_xlsx: How to open an xls file and save it as xlsx ---------------------------------------------------------------------- .. WARNING:: Formula, charts, images and formatting in xls file will disappear as pyexcel does not support Formula, charts, images and formatting. Let use previous example and save it as ods instead >>> import pyexcel >>> pyexcel.save_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension Again let's verify what we have gotten: >>> sheet = pyexcel.get_sheet(file_name="birth.xlsx") >>> sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. testcode:: :hide: >>> session.close() >>> os.unlink('birth.xls') >>> os.unlink('birth.csv') >>> os.unlink('birth.xlsx') How to open a xls multiple sheet excel book and save it as csv ---------------------------------------------------------------- Well, you write similar codes as before but you will need to use :meth:`~pyexcel.save_book_as` function. pyexcel-0.7.0/docs/source/tutorial_file.rst000066400000000000000000000173061420202037400210140ustar00rootroot00000000000000============================== Work with excel files ============================== .. WARNING:: The pyexcel DOES NOT consider Fonts, Styles, Formulas and Charts at all. When you load a stylish excel and update it, you definitely will lose all those styles. Open a csv file -------------------------------------------------------------------------------- .. testcode:: :hide: >>> import os >>> import pyexcel >>> data = [ ... [1, 4, 7], ... [2, 5, 8], ... [3, 6, 9] ... ] >>> pyexcel.save_as(array=data, dest_file_name="example.csv") >>> pyexcel.save_as(array=data, dest_file_name="example.tsv") Read a csv file is simple: .. code-block:: python >>> import pyexcel as p >>> sheet = p.get_sheet(file_name="example.csv") >>> sheet example.csv: +---+---+---+ | 1 | 4 | 7 | +---+---+---+ | 2 | 5 | 8 | +---+---+---+ | 3 | 6 | 9 | +---+---+---+ The same applies to a tsv file: .. code-block:: python >>> sheet = p.get_sheet(file_name="example.tsv") >>> sheet example.tsv: +---+---+---+ | 1 | 4 | 7 | +---+---+---+ | 2 | 5 | 8 | +---+---+---+ | 3 | 6 | 9 | +---+---+---+ Meanwhile, a tab separated file can be read as csv too. You can specify a delimiter parameter. .. code-block:: python >>> with open('tab_example.csv', 'w') as f: ... unused = f.write('I\tam\ttab\tseparated\tcsv\n') # for passing doctest ... unused = f.write('You\tneed\tdelimiter\tparameter\n') # unused is added >>> sheet = p.get_sheet(file_name="tab_example.csv", delimiter='\t') >>> sheet tab_example.csv: +-----+------+-----------+-----------+-----+ | I | am | tab | separated | csv | +-----+------+-----------+-----------+-----+ | You | need | delimiter | parameter | | +-----+------+-----------+-----------+-----+ .. testcode:: :hide: >>> os.unlink("example.csv") >>> os.unlink("example.tsv") >>> os.unlink("tab_example.csv") Add a new row to an existing file ---------------------------------- Suppose you have one data file as the following: .. pyexcel-table:: ---pyexcel:example.xls--- Column 1,Column 2,Column 3 1,4,7 2,5,8 3,6,9 .. testcode:: :hide: >>> import os >>> import pyexcel >>> data = [ ... ["Column 1", "Column 2", "Column 3"], ... [1, 4, 7], ... [2, 5, 8], ... [3, 6, 9] ... ] >>> pyexcel.save_as(array=data, dest_file_name="example.xls") And you want to add a new row: 12, 11, 10 Here is the code: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.get_sheet(file_name="example.xls") >>> sheet.row += [12, 11, 10] >>> sheet.save_as("new_example.xls") >>> pe.get_sheet(file_name="new_example.xls") pyexcel_sheet1: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 1 | 4 | 7 | +----------+----------+----------+ | 2 | 5 | 8 | +----------+----------+----------+ | 3 | 6 | 9 | +----------+----------+----------+ | 12 | 11 | 10 | +----------+----------+----------+ Update an existing row to an existing file ------------------------------------------- Suppose you want to update the last row of the example file as: ['N/A', 'N/A', 'N/A'] Here is the sample code:: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.get_sheet(file_name="example.xls") >>> sheet.row[3] = ['N/A', 'N/A', 'N/A'] >>> sheet.save_as("new_example1.xls") >>> pe.get_sheet(file_name="new_example1.xls") pyexcel_sheet1: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 1 | 4 | 7 | +----------+----------+----------+ | 2 | 5 | 8 | +----------+----------+----------+ | N/A | N/A | N/A | +----------+----------+----------+ Add a new column to an existing file -------------------------------------- And you want to add a column instead: ["Column 4", 10, 11, 12] Here is the code: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.get_sheet(file_name="example.xls") >>> sheet.column += ["Column 4", 10, 11, 12] >>> sheet.save_as("new_example2.xls") >>> pe.get_sheet(file_name="new_example2.xls") pyexcel_sheet1: +----------+----------+----------+----------+ | Column 1 | Column 2 | Column 3 | Column 4 | +----------+----------+----------+----------+ | 1 | 4 | 7 | 10 | +----------+----------+----------+----------+ | 2 | 5 | 8 | 11 | +----------+----------+----------+----------+ | 3 | 6 | 9 | 12 | +----------+----------+----------+----------+ Update an existing column to an existing file ----------------------------------------------- Again let's update "Column 3" with: [100, 200, 300] Here is the sample code: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.get_sheet(file_name="example.xls") >>> sheet.column[2] = ["Column 3", 100, 200, 300] >>> sheet.save_as("new_example3.xls") >>> pe.get_sheet(file_name="new_example3.xls") pyexcel_sheet1: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 1 | 4 | 100 | +----------+----------+----------+ | 2 | 5 | 200 | +----------+----------+----------+ | 3 | 6 | 300 | +----------+----------+----------+ Alternatively, you could have done like this: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.get_sheet(file_name="example.xls", name_columns_by_row=0) >>> sheet.column["Column 3"] = [100, 200, 300] >>> sheet.save_as("new_example4.xls") >>> pe.get_sheet(file_name="new_example4.xls") pyexcel_sheet1: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +----------+----------+----------+ | 1 | 4 | 100 | +----------+----------+----------+ | 2 | 5 | 200 | +----------+----------+----------+ | 3 | 6 | 300 | +----------+----------+----------+ How about the same alternative solution to previous row based example? Well, you'd better to have the following kind of data: .. pyexcel-table:: ---pyexcel:row_example.xls--- Row 1,1,2,3 Row 2,4,5,6 Row 3,7,8,9 .. testcode:: :hide: >>> import os >>> import pyexcel as pe >>> data = [ ... ["Row 1", 1, 2, 3], ... ["Row 2", 4, 5, 6], ... ["Row 3", 7, 8, 9], ... ] >>> pe.save_as(array=data, dest_file_name="row_example.xls") And then you want to update "Row 3" with for example:: [100, 200, 300] These code would do the job: .. code-block:: python >>> import pyexcel as pe >>> sheet = pe.get_sheet(file_name="row_example.xls", name_rows_by_column=0) >>> sheet.row["Row 3"] = [100, 200, 300] >>> sheet.save_as("new_example5.xls") >>> pe.get_sheet(file_name="new_example5.xls") pyexcel_sheet1: +-------+-----+-----+-----+ | Row 1 | 1 | 2 | 3 | +-------+-----+-----+-----+ | Row 2 | 4 | 5 | 6 | +-------+-----+-----+-----+ | Row 3 | 100 | 200 | 300 | +-------+-----+-----+-----+ .. testcode:: :hide: >>> os.unlink("new_example.xls") >>> os.unlink("new_example1.xls") >>> os.unlink("new_example2.xls") >>> os.unlink("new_example3.xls") >>> os.unlink("new_example4.xls") >>> os.unlink("new_example5.xls") >>> os.unlink("example.xls") pyexcel-0.7.0/docs/source/two-liners.rst000066400000000000000000000225771420202037400202630ustar00rootroot00000000000000 Stream APIs for big file : A set of two liners ================================================================================ When you are dealing with **BIG** excel files, you will want **pyexcel** to use constant memory. This section shows you how to get data from your **BIG** excel files and how to export data to excel files in **two lines** at most, without eating all your computer memory. Two liners for get data from big excel files -------------------------------------------------------------------------------- Get a list of dictionaries ******************************************************************************** .. testcode:: :hide: >>> import os >>> import pyexcel as p >>> content=""" ... Coffees,Serving Size,Caffeine (mg) ... Starbucks Coffee Blonde Roast,venti(20 oz),475 ... Dunkin' Donuts Coffee with Turbo Shot,large(20 oz.),398 ... Starbucks Coffee Pike Place Roast,grande(16 oz.),310 ... Panera Coffee Light Roast,regular(16 oz.),300 ... """.strip() >>> sheet = p.get_sheet(file_content=content, file_type='csv') >>> sheet.save_as("your_file.xls") Suppose you want to process the following coffee data: .. pyexcel-table:: ---pyexcel:Huge list of coffeine drinks--- Coffees,Serving Size,Caffeine (mg) Starbucks Coffee Blonde Roast,venti(20 oz),475 Dunkin' Donuts Coffee with Turbo Shot,large(20 oz.),398 Starbucks Coffee Pike Place Roast,grande(16 oz.),310 Panera Coffee Light Roast,regular(16 oz.),300 Let's get a list of dictionary out from the xls file: .. code-block:: python >>> records = p.iget_records(file_name="your_file.xls") And let's check what do we have: .. code-block:: python >>> for r in records: ... print(f"{r['Serving Size']} of {r['Coffees']} has {r['Caffeine (mg)']} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg Please do not forgot the second line to close the opened file handle: .. code-block:: python >>> p.free_resources() Get two dimensional array ******************************************************************************** Instead, what if you have to use `pyexcel.get_array` to do the same: .. code-block:: python >>> for row in p.iget_array(file_name="your_file.xls", start_row=1): ... print(f"{row[1]} of {row[0]} has {row[2]} mg") venti(20 oz) of Starbucks Coffee Blonde Roast has 475 mg large(20 oz.) of Dunkin' Donuts Coffee with Turbo Shot has 398 mg grande(16 oz.) of Starbucks Coffee Pike Place Roast has 310 mg regular(16 oz.) of Panera Coffee Light Roast has 300 mg Again, do not forgot the second line: .. code-block:: python >>> p.free_resources() where `start_row` skips the header row. Data export in one liners --------------------------------------------- Export an array ********************** Suppose you have the following array: .. code-block:: python >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] And here is the code to save it as an excel file : .. code-block:: python >>> p.isave_as(array=data, dest_file_name="example.xls") But the following line is not required because the data source are not file sources: .. code-block:: python >>> # p.free_resources() Let's verify it: .. code-block:: python >>> p.get_sheet(file_name="example.xls") pyexcel_sheet1: +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ | 7 | 8 | 9 | +---+---+---+ .. testcode:: :hide: >>> import os >>> os.unlink("example.xls") And here is the code to save it as a csv file : .. code-block:: python >>> p.isave_as(array=data, ... dest_file_name="example.csv", ... dest_delimiter=':') Let's verify it: .. code-block:: python >>> with open("example.csv") as f: ... for line in f.readlines(): ... print(line.rstrip()) ... 1:2:3 4:5:6 7:8:9 Export a list of dictionaries ********************************** .. code-block:: python >>> records = [ ... {"year": 1903, "country": "Germany", "speed": "206.7km/h"}, ... {"year": 1964, "country": "Japan", "speed": "210km/h"}, ... {"year": 2008, "country": "China", "speed": "350km/h"} ... ] >>> p.isave_as(records=records, dest_file_name='high_speed_rail.xls') Export a dictionary of single key value pair ******************************************************************************** .. code-block:: python >>> henley_on_thames_facts = { ... "area": "5.58 square meters", ... "population": "11,619", ... "civial parish": "Henley-on-Thames", ... "latitude": "51.536", ... "longitude": "-0.898" ... } >>> p.isave_as(adict=henley_on_thames_facts, dest_file_name='henley.xlsx') Export a dictionary of single dimensonal array ******************************************************************************** .. code-block:: python >>> ccs_insights = { ... "year": ["2017", "2018", "2019", "2020", "2021"], ... "smart phones": [1.53, 1.64, 1.74, 1.82, 1.90], ... "feature phones": [0.46, 0.38, 0.30, 0.23, 0.17] ... } >>> p.isave_as(adict=ccs_insights, dest_file_name='ccs.csv') >>> p.free_resources() Export a dictionary of two dimensional array as a book ******************************************************************************** Suppose you want to save the below dictionary to an excel file : .. code-block:: python >>> a_dictionary_of_two_dimensional_arrays = { ... 'Sheet 1': ... [ ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0], ... [7.0, 8.0, 9.0] ... ], ... 'Sheet 2': ... [ ... ['X', 'Y', 'Z'], ... [1.0, 2.0, 3.0], ... [4.0, 5.0, 6.0] ... ], ... 'Sheet 3': ... [ ... ['O', 'P', 'Q'], ... [3.0, 2.0, 1.0], ... [4.0, 3.0, 2.0] ... ] ... } Here is the code: .. code-block:: python >>> p.isave_book_as( ... bookdict=a_dictionary_of_two_dimensional_arrays, ... dest_file_name="book.xls" ... ) If you want to preserve the order of sheets in your dictionary, you have to pass on an ordered dictionary to the function itself. For example: .. code-block:: python >>> from pyexcel._compact import OrderedDict >>> data = OrderedDict() >>> data.update({"Sheet 2": a_dictionary_of_two_dimensional_arrays['Sheet 2']}) >>> data.update({"Sheet 1": a_dictionary_of_two_dimensional_arrays['Sheet 1']}) >>> data.update({"Sheet 3": a_dictionary_of_two_dimensional_arrays['Sheet 3']}) >>> p.isave_book_as(bookdict=data, dest_file_name="book.xls") >>> p.free_resources() Let's verify its order: .. code-block:: python >>> import json >>> book_dict = p.get_book_dict(file_name="book.xls") >>> for key, item in book_dict.items(): ... print(json.dumps({key: item})) {"Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]} {"Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]} {"Sheet 3": [["O", "P", "Q"], [3, 2, 1], [4, 3, 2]]} Please notice that "Sheet 2" is the first item in the *book_dict*, meaning the order of sheets are preserved. File format transcoding on one line ------------------------------------------- .. note:: Please note that the following file transcoding could be with zero line. Please install pyexcel-cli and you will do the transcode in one command. No need to open your editor, save the problem, then python run. .. testcode:: :hide: >>> import datetime >>> data = [ ... ["name", "weight", "birth"], ... ["Adam", 3.4, datetime.date(2015, 2, 3)], ... ["Smith", 4.2, datetime.date(2014, 11, 12)] ... ] >>> p.isave_as(array=data, dest_file_name="birth.xls") The following code does a simple file format transcoding from xls to csv: .. code-block:: python >>> import pyexcel >>> p.save_as(file_name="birth.xls", dest_file_name="birth.csv") Again it is really simple. Let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.csv") >>> sheet birth.csv: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. note:: Please note that csv(comma separate value) file is pure text file. Formula, charts, images and formatting in xls file will disappear no matter which transcoding tool you use. Hence, pyexcel is a quick alternative for this transcoding job. Let use previous example and save it as xlsx instead .. code-block:: python >>> import pyexcel >>> p.isave_as(file_name="birth.xls", ... dest_file_name="birth.xlsx") # change the file extension Again let's verify what we have gotten: .. code-block:: python >>> sheet = p.get_sheet(file_name="birth.xlsx") >>> sheet pyexcel_sheet1: +-------+--------+----------+ | name | weight | birth | +-------+--------+----------+ | Adam | 3.4 | 03/02/15 | +-------+--------+----------+ | Smith | 4.2 | 12/11/14 | +-------+--------+----------+ .. testcode:: :hide: >>> import os >>> os.unlink('ccs.csv') >>> os.unlink('book.xls') pyexcel-0.7.0/docs/source/uml/000077500000000000000000000000001420202037400162065ustar00rootroot00000000000000pyexcel-0.7.0/docs/source/uml/architecture.uml000066400000000000000000000047031420202037400214130ustar00rootroot00000000000000@startuml package "pyexcel" { [pyexcel public api] [pyexcel internal api] [pyexcel plugin interfaces] folder "plugins" { [data source plugins] [data renderer plugins] [data parsing plugins] } } package "pyexcel-io" { [pyexcel-io public api] [pyexcel-io plugin interfaces] folder "io plugins" { [csv, csvz, tsv, tsvz] [django, sqlalchemy] } } cloud "ods" { [pyexcel-ods] [pyexcel-ods3] [pyexcel-odsr] } cloud "xls, xlsx" { [pyexcel-xls] [pyexcel-xlsx] [pyexcel-xlsxw] [pyexcel-libxlsxw] [pyexcel-xlsxr] } [tabulate] <> [pygal] <> [handsontable] <> [xlrd] <> [xlwt] <> [openpyxl] <> [xlsxwriter] <> [ezodf] <> [odfpy] <> [lxml] <> [libxlsxwpy] <> [libxlsx] <> [pyexcel public api] -right-> [pyexcel internal api] [pyexcel internal api] -right-> [pyexcel plugin interfaces] [pyexcel plugin interfaces] .up.> [pyexcel-text] [pyexcel plugin interfaces] .up.> [pyexcel-pygal] [pyexcel plugin interfaces] .up.> [pyexcel-handsontable] [pyexcel plugin interfaces] ..> [data source plugins] [pyexcel plugin interfaces] ..> [data renderer plugins] [pyexcel plugin interfaces] ..> [data parsing plugins] [data renderer plugins] -down-> [pyexcel-io public api] [data parsing plugins] --> [pyexcel-io public api] [pyexcel-io public api] --> [pyexcel-io plugin interfaces] [pyexcel-io plugin interfaces] ..> [csv, csvz, tsv, tsvz] [pyexcel-io plugin interfaces] ..> [django, sqlalchemy] [pyexcel-io plugin interfaces] .up.> [pyexcel-xls] [pyexcel-io plugin interfaces] .up.> [pyexcel-xlsxw] [pyexcel-io plugin interfaces] .up.> [pyexcel-libxlsxw] [pyexcel-io plugin interfaces] .up.> [pyexcel-xlsx] [pyexcel-io plugin interfaces] .up.> [pyexcel-xlsxr] [pyexcel-io plugin interfaces] .left.> [pyexcel-ods] [pyexcel-io plugin interfaces] .right.> [pyexcel-ods3] [pyexcel-io plugin interfaces] .right.> [pyexcel-odsr] [pyexcel-text] -up- [tabulate] [pyexcel-pygal] -up- [pygal] [pyexcel-handsontable] -up- [handsontable] [pyexcel-xls] -right- [xlrd] [pyexcel-xls] -right- [xlwt] [pyexcel-xlsx] -right- [openpyxl] [pyexcel-xlsxw] -up- [xlsxwriter] [pyexcel-ods3] --- [ezodf] [pyexcel-ods] --- [odfpy] [pyexcel-odsr] -up- [lxml] [pyexcel-xlsxr] -right- [lxml] [sphinxcontrib-excel] -right-> [pyexcel-handsontable] [pyexcel-libxlsxw] -up- [libxlsxwpy] [libxlsxwpy] -right- [libxlsx] skinparam component{ backgroundColor<> White } @endumlpyexcel-0.7.0/docs/source/webdev.rst000066400000000000000000000054141420202037400174230ustar00rootroot00000000000000For web developer ======================================== The following libraries are written to facilitate the daily import and export of excel data. ============== ============================ framework plugin/middleware/extension ============== ============================ Flask `Flask-Excel`_ Django `django-excel`_ Pyramid `pyramid-excel`_ ============== ============================ .. _Flask-Excel: https://github.com/pyexcel-webwares/Flask-Excel .. _django-excel: https://github.com/pyexcel-webwares/django-excel .. _pyramid-excel: https://github.com/pyexcel-webwares/pyramid-excel And you may make your own by using `pyexcel-webio `_ Read any supported excel and respond its content in json ---------------------------------------------------------------------- You can find a real world example in **examples/memoryfile/** directory: pyexcel_server.py. Here is the example snippet .. code-block:: python :linenos: :emphasize-lines: 4,5,8,10 def upload(): if request.method == 'POST' and 'excel' in request.files: # handle file upload filename = request.files['excel'].filename extension = filename.split(".")[-1] # Obtain the file extension and content # pass a tuple instead of a file name content = request.files['excel'].read() if sys.version_info[0] > 2: # in order to support python 3 # have to decode bytes to str content = content.decode('utf-8') sheet = pe.get_sheet(file_type=extension, file_content=content) # then use it as usual sheet.name_columns_by_row(0) # respond with a json return jsonify({"result": sheet.dict}) return render_template('upload.html') **request.files['excel']** in line 4 holds the file object. line 5 finds out the file extension. line 13 obtains a sheet instance. line 15 uses the first row as data header. line 17 sends the json representation of the excel file back to client browser. Write to memory and respond to download ------------------------------------------- .. code-block:: python :linenos: data = [ [...], ... ] @app.route('/download') def download(): sheet = pe.Sheet(data) output = make_response(sheet.csv) output.headers["Content-Disposition"] = "attachment; filename=export.csv" output.headers["Content-type"] = "text/csv" return output **make_response** is a Flask utility to make a memory content as http response. .. note:: You can find the corresponding source code at `examples/memoryfile `_ pyexcel-0.7.0/document.bat000066400000000000000000000004171420202037400154710ustar00rootroot00000000000000python setup.py clean --all python setup.py install del docs\source\generated\*.rst del docs\source\iapi\*.rst sphinx-autogen -o docs\source\generated docs\source\api.rst sphinx-autogen -o docs\source\iapi docs\source\iapi.rst sphinx-build -b html docs\source docs\build pyexcel-0.7.0/document.sh000066400000000000000000000003611420202037400153330ustar00rootroot00000000000000python setup.py install rm docs/source/generated/*.rst rm docs/source/iapi/*.rst sphinx-autogen -o docs/source/generated docs/source/api.rst sphinx-autogen -o docs/source/iapi docs/source/iapi.rst sphinx-build -b html docs/source docs/build pyexcel-0.7.0/examples/000077500000000000000000000000001420202037400147775ustar00rootroot00000000000000pyexcel-0.7.0/examples/README.rst000066400000000000000000000002471420202037400164710ustar00rootroot00000000000000Examples ========= This directory provides example codes that can be readily used. Detailed example usage of each function can also be obtained in the documentation. pyexcel-0.7.0/examples/basics/000077500000000000000000000000001420202037400162435ustar00rootroot00000000000000pyexcel-0.7.0/examples/basics/convert_xls_to_xlsx.py000066400000000000000000000017461420202037400227530ustar00rootroot00000000000000""" convert_xls_to_xlsx.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This shows how to use **save_book_as** to convert xls file to xlsx file. What this example implies is that you can do the conversion in between these formats: ==== === === === === ==== ==== ods csv tsv xls xlsx xlsm ==== === === === === ==== ==== ods y y y y y y tsv y y y y y y csv y y y y y y xls y y y y y y xlsx y y y y y y xlsm y y y y y y ---- --- --- --- --- ---- ---- you will need to install pyexcel-xls and pyexcel-xlsx depending on your python version pip install pyexcel-xls pip install pyexcel-xlsx """ import os import pyexcel as pe def main(base_dir): pe.save_book_as( file_name=os.path.join(base_dir, "multiple-sheets.xls"), dest_file_name=os.path.join(base_dir, "multiple-sheets.xlsx") ) if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/basics/example.csv000066400000000000000000000000221420202037400204050ustar00rootroot000000000000001,2,3 4,5,6 7,8,9 pyexcel-0.7.0/examples/basics/example.xls000066400000000000000000000150001420202037400204220ustar00rootroot00000000000000ÐÏࡱá;þÿ  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pe.get_sheet(file_name=os.path.join(base_dir, "example.csv")) print(sheet.json) if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/basics/multiple-sheets-example.xls000066400000000000000000000130001420202037400235420ustar00rootroot00000000000000ÐÏࡱá>þÿ  þÿÿÿþÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ » Ìá°Áâ\pNone B°a=œc¯¼@=àZÏ?N*8X"·Ú1ÈÿArial1ÈÿArial1ÈÿArial1ÈÿArial1ÈÿArial ¤Generalà¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ à¤õÿ ôÀ ठøÀ “€ÿ`…¦Sheet 1…jSheet 2…<Sheet 3ü XYZOPQ » Ì  dü©ñÒMbP?_€%ÿ 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import pyexcel as pe def main(base_dir): # Simple give the file name to **Reader** # "example.xls","example.xlsx","example.ods", "example.xlsm" spreadsheet = pe.get_sheet(file_name=os.path.join(base_dir, "example.csv")) # row_range() gives [0 .. number of rows] for r in spreadsheet.row_range(): # column_range() gives [0 .. number of ranges] for c in spreadsheet.column_range(): # cell_value(row_index, column_index) # return the value at the specified # position # please note that both row_index # and column_index starts from 0 print(spreadsheet.cell_value(r, c)) if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/basics/read_column_by_column.py000066400000000000000000000014141420202037400231540ustar00rootroot00000000000000""" read_column_by_column.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This shows a pythonic way to use get_sheet to go through a single page spreadsheet column by column. The output is:: [1.0, 4.0, 7.0] [2.0, 5.0, 8.0] [3.0, 6.0, 9.0] """ import os import pyexcel as pe def main(base_dir): # "example.csv","example.ods","example.xls", "example.xlsm" spreadsheet = pe.get_sheet(file_name=os.path.join(base_dir, "example.xlsx")) # columns() returns column based iterator, meaning it can be iterated # column by column for value in spreadsheet.columns(): print(value) if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/basics/read_excel_book.py000066400000000000000000000021431420202037400217220ustar00rootroot00000000000000""" read_excel_book.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This shows how to use get_book to go through a multiple sheet spreadsheet. Please install pyexcel-ods3 """ import os import pyexcel as pe def main(base_dir): # Simply give a name to the Book class book = pe.get_book(file_name=os.path.join(base_dir, "multiple-sheets-example.xls")) # the default iterator for a **Book* instance is a SheetIterator for sheet in book: # Each sheet has name print("sheet: %s" % sheet.name) # Once you have a sheet instance, you can regard it as # a Reader instance. You can iterate its member in the way # you wanted it for row in sheet: print(row) if __name__ == '__main__': main(os.getcwd()) # Here's the output # sheet: Sheet 2 # [u'X', u'Y', u'Z'] # [1.0, 2.0, 3.0] # [4.0, 5.0, 6.0] # sheet: Sheet 3 # [u'O', u'P', u'Q'] # [3.0, 2.0, 1.0] # [4.0, 3.0, 2.0] # sheet: Sheet 1 # [1.0, 2.0, 3.0] # [4.0, 5.0, 6.0] # [7.0, 8.0, 9.0] pyexcel-0.7.0/examples/basics/read_row_by_row.py000066400000000000000000000016611420202037400220040ustar00rootroot00000000000000""" read_row_by_row.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This shows a pythonic way to use **Reader** class to go through a single page spreadsheet row by row. The output is:: [1.0, 2.0, 3.0] [4.0, 5.0, 6.0] [7.0, 8.0, 9.0] Please install pyexcel-xls """ import os import pyexcel def main(base_dir): # "example.csv","example.xlsx","example.ods", "example.xlsm" spreadsheet = pyexcel.get_sheet(file_name=os.path.join(base_dir, "example.xls")) # rows() returns row based iterator, meaning it can be iterated row by row for row in spreadsheet.rows(): print(row) # Alternatively, you can use:: # for row in spreadsheet: # print row # because by default **Reader** regards itself a row based iterator. if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/basics/series.py000066400000000000000000000045021420202037400201100ustar00rootroot00000000000000""" series.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This shows how to use `name_columns_by_row` to get the data in various ways. you will need to do `pip install pyexcel-xls` """ # please install pyexcel-ods import os import json import pyexcel as pe def main(base_dir): # print all in json # # Column 1 Column 2 Column 3 # 1 4 7 # 2 5 8 # 3 6 9 sheet = pe.get_sheet(file_name=os.path.join(base_dir, "example_series.xls"), name_columns_by_row=0) print(json.dumps(sheet.to_dict())) # output: # {"Column 2": [4.0, 5.0, 6.0], "Column 3": [7.0, 8.0, 9.0], # "Column 1": [1.0, 2.0, 3.0]} # get the column headers print(sheet.colnames) # [u'Column 1', u'Column 2', u'Column 3'] # get the content in one dimensional array data = list(sheet.enumerate()) print(data) # [1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0] # get the content in one dimensional array # in reverse order data = list(sheet.reverse()) print(data) # get the content in one dimensional array # but iterate it vertically data = list(sheet.vertical()) print(data) # [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] # get the content in one dimensional array # but iterate it vertically in revserse # order data = list(sheet.rvertical()) print(data) # [9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0] # get a two dimensional array data = list(sheet.rows()) print(data) # [[1.0, 4.0, 7.0], [2.0, 5.0, 8.0], [3.0, 6.0, 9.0]] # get a two dimensional array in reverse # order data = list(sheet.rrows()) print(data) # [[3.0, 6.0, 9.0], [2.0, 5.0, 8.0], [1.0, 4.0, 7.0]] # get a two dimensional array but stack columns data = list(sheet.columns()) print(data) # [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]] # get a two dimensional array but stack columns # in reverse order data = list(sheet.rcolumns()) print(data) # [[7.0, 8.0, 9.0], [4.0, 5.0, 6.0], [1.0, 2.0, 3.0]] # and you can write the results # into a file sheet.save_as("example_series.xls") if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/basics/write_excel_book.py000066400000000000000000000017501420202037400221440ustar00rootroot00000000000000""" write_excel_book.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This shows how to use save_book_as to write a dictionary to sheet spreadsheet. Please install pyexcel-xls. """ import os import pyexcel as pe def main(base_dir): # the dictionary should look like the following: # * key: a string typed key # * value: a two dimensional array or a list of lists data = { "Sheet 1": [[1, 2, 3], [4, 5, 6], [7, 8, 9]], "Sheet 2": [['X', 'Y', 'Z'], [1, 2, 3], [4, 5, 6]], "Sheet 3": [['O', 'P', 'Q'], [3, 2, 1], [4, 3, 2]] } # In order to keep the order of the sheets, please use OrderedDict # Now simply choose the filename and format you want to save # file format is decided by the file extension pe.save_book_as(bookdict=data, dest_file_name="multiple-sheets.xls") # The output of the file is "multiple-sheets.xls" if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/cookbook/000077500000000000000000000000001420202037400166055ustar00rootroot00000000000000pyexcel-0.7.0/examples/cookbook/merge_sheets.py000066400000000000000000000010741420202037400216330ustar00rootroot00000000000000""" merge_sheets.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This code snippet shows you how to merge files that are scattered in a directory into one excel book Please install pyexcel-xls """ import os import glob import pyexcel as pe def main(base_dir): merged = pe.Book() files = glob.glob(os.path.join(base_dir, "scattered-csv-files", "*.csv")) for csv_file in files: merged += pe.load(csv_file) merged.save_as("merged.xls") if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/cookbook/scattered-csv-files/000077500000000000000000000000001420202037400224545ustar00rootroot00000000000000pyexcel-0.7.0/examples/cookbook/scattered-csv-files/1.csv000066400000000000000000000000251420202037400233260ustar00rootroot000000000000001,2,3 4,5,6 7,8,9 pyexcel-0.7.0/examples/cookbook/scattered-csv-files/2.csv000066400000000000000000000000251420202037400233270ustar00rootroot000000000000001,2,3 4,5,6 7,8,9 pyexcel-0.7.0/examples/cookbook/scattered-csv-files/3.csv000066400000000000000000000000251420202037400233300ustar00rootroot000000000000001,2,3 4,5,6 7,8,9 pyexcel-0.7.0/examples/database/000077500000000000000000000000001420202037400165435ustar00rootroot00000000000000pyexcel-0.7.0/examples/database/import_xls_into_database_via_sqlalchemy.py000066400000000000000000000027361420202037400272630ustar00rootroot00000000000000""" import_xls_into_database_via_sqlalchemy.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This code snippet shows you how to import data from an excel file into a database table via sqlalchemy created along with pyexcel v0.1.5. Please install pyexcel-xls """ import os import datetime import pyexcel from sqlalchemy import Date, Float, Column, String, Integer, create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.ext.declarative import declarative_base engine = create_engine("sqlite:///birth.db") Base = declarative_base() Session = sessionmaker(bind=engine) # here is the destination table class BirthRegister(Base): __tablename__ = 'birth' id = Column(Integer, primary_key=True) name = Column(String) weight = Column(Float) birth = Column(Date) Base.metadata.create_all(engine) # create fixture data = [ ["name", "weight", "birth"], ["Adam", 3.4, datetime.date(2017, 2, 3)], ["Smith", 4.2, datetime.date(2014, 11, 12)] ] pyexcel.save_as(array=data, dest_file_name="birth.xls") # import the xls file session = Session() # obtain a sql session pyexcel.save_as(file_name="birth.xls", name_columns_by_row=0, dest_session=session, dest_table=BirthRegister) # verify results sheet = pyexcel.get_sheet(session=session, table=BirthRegister) print(sheet) session.close() os.unlink('birth.db') os.unlink("birth.xls") pyexcel-0.7.0/examples/formatting/000077500000000000000000000000001420202037400171515ustar00rootroot00000000000000pyexcel-0.7.0/examples/formatting/formatter01.py000066400000000000000000000013551420202037400216730ustar00rootroot00000000000000""" formater01.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This file shows you how to use column format function """ import os import pyexcel as pe def main(base_dir): sheet = pe.get_sheet(file_name=os.path.join(base_dir, "tutorial_datatype_01.xls"), name_columns_by_row=0) print(sheet.to_dict()) # {u'userid': [10120.0, 10121.0, 10122.0], # u'name': [u'Adam', u'Bella', u'Cedar']} sheet.column.format(0, str) print(sheet.to_dict()) # {u'userid': ['10120.0', '10121.0', '10122.0'], # u'name': [u'Adam', u'Bella', u'Cedar']} if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/formatting/formatter02.py000066400000000000000000000011021420202037400216620ustar00rootroot00000000000000""" formatter02.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This example shows you how to use custom formatter function Please install pyexcel-xls """ import os import pyexcel as pe def main(base_dir): sheet = pe.load(os.path.join(base_dir, "tutorial_datatype_02.xls")) print(sheet.array) def cleanse_func(v): v = v.replace(" ", "") v = v.rstrip().strip() return v sheet.map(cleanse_func) print(sheet.array) if __name__ == '__main__': main(os.getcwd()) pyexcel-0.7.0/examples/formatting/tutorial_datatype_01.xls000066400000000000000000000150001420202037400237330ustar00rootroot00000000000000ÐÏࡱá;þÿ  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in web development environment. Instead of saving the uploaded file, pyexcel enables loading it from memory. Installation ============= You will need the html file in templates directory and keep the directory structure. Then please install Flask in addition:: $ pip install Flask After that, you can launch the mini server:: $ python pyexcel_server.py Then visit http://localhost:5000/upload or http://localhost:5000/download Relevant packages ================= Ready made plugins have been made on top of this example. Here is a list of them: ============== ============================ framework plugin/middleware/extension ============== ============================ Flask `Flask-Excel`_ Django `django-excel`_ Pyramid `pyramid-excel`_ ============== ============================ .. _Flask-Excel: https://github.com/chfw/Flask-Excel .. _django-excel: https://github.com/chfw/django-excel .. _pyramid-excel: https://github.com/chfw/pyramid-excel And you may make your own by using `pyexcel-webio `_ pyexcel-0.7.0/examples/memoryfile/pyexcel_server.py000066400000000000000000000040421420202037400225600ustar00rootroot00000000000000""" pyexcel_server.py :copyright: (c) 2014-2017 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details This shows how to use pyexcel to handle excel file upload. In order to evaluate it, please install Flask:: pip install Flask python pyexcel_server.py Then visit http://localhost:5000/upload Flask is a micro framework for web development. For more infomation, please visit: http://flask.pocoo.org """ import sys import pyexcel as pe from flask import Flask, jsonify, request, make_response, render_template app = Flask(__name__) @app.route('/upload', methods=['GET', 'POST']) def upload(): if request.method == 'POST' and 'excel' in request.files: # handle file upload filename = request.files['excel'].filename extension = filename.split(".")[1] # Obtain the file extension and content # pass a tuple instead of a file name content = request.files['excel'].read() if sys.version_info[0] > 2: # in order to support python # have to decode bytes to str content = content.decode('utf-8') sheet = pe.get_sheet(file_type=extension, file_content=content) # then use it as usual sheet.name_columns_by_row(0) # respond with a json return jsonify({"result": sheet.dict}) return render_template('upload.html') data = [ ["REVIEW_DATE", "AUTHOR", "ISBN", "DISCOUNTED_PRICE"], ["1985/01/21", "Douglas Adams", '0345391802', 5.95], ["1990/01/12", "Douglas Hofstadter", '0465026567', 9.95], ["1998/07/15", "Timothy \"The Parser\" Campbell", '0968411304', 18.99], ["1999/12/03", "Richard Friedman", '0060630353', 5.95], ["2004/10/04", "Randel Helms", '0879755725', 4.50] ] @app.route('/download') def download(): sheet = pe.Sheet(data) output = make_response(sheet.csv) output.headers["Content-Disposition"] = "attachment; filename=export.csv" output.headers["Content-type"] = "text/csv" return output if __name__ == "__main__": # start web server app.run() pyexcel-0.7.0/examples/memoryfile/templates/000077500000000000000000000000001420202037400211455ustar00rootroot00000000000000pyexcel-0.7.0/examples/memoryfile/templates/upload.html000066400000000000000000000003531420202037400233200ustar00rootroot00000000000000 Example upload : pyexcel example
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It does not support formulas, styles and charts. :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ from .book import Book from .core import ( save_as, get_book, get_dict, isave_as, get_array, get_sheet, iget_book, iget_array, get_records, iget_records, save_book_as, get_book_dict, isave_book_as, ) from .sheet import Sheet # flake8: noqa from .cookbook import ( split_a_book, merge_all_to_a_book, merge_csv_to_a_book, extract_a_sheet_from_a_book, ) from .deprecated import ( Reader, BookReader, SeriesReader, ColumnSeriesReader, load, load_book, load_from_dict, load_from_memory, load_from_records, load_book_from_memory, ) from .__version__ import __author__, __version__ from .internal.garbagecollector import free_resources pyexcel-0.7.0/pyexcel/__version__.py000066400000000000000000000000521420202037400174620ustar00rootroot00000000000000__version__ = '0.7.0' __author__ = 'C.W.' pyexcel-0.7.0/pyexcel/_compact.py000066400000000000000000000033111420202037400167670ustar00rootroot00000000000000""" pyexcel._compact ~~~~~~~~~~~~~~~~~~~ Compatibles :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ # flake8: noqa # pylint: disable=unused-import # pylint: disable=import-error # pylint: disable=no-name-in-module # pylint: disable=invalid-name # pylint: disable=redefined-variable-type # pylint: disable=too-few-public-methods # pylint: disable=ungrouped-imports import sys import warnings from io import BytesIO, StringIO from urllib import request as request from textwrap import dedent from itertools import zip_longest from collections import OrderedDict PY2 = sys.version_info[0] == 2 PY26 = PY2 and sys.version_info[1] < 7 PY3_AND_ABOVE = sys.version_info[0] >= 3 Iterator = object irange = range czip = zip def is_tuple_consists_of_strings(an_array): """check if all member were string type""" return isinstance(an_array, tuple) and is_array_type(an_array, str) def is_array_type(an_array, atype): """check if all members are of the same type""" tmp = [i for i in an_array if not isinstance(i, atype)] return len(tmp) == 0 def is_string(atype): """find out if a type is str or not""" if atype == str: return True elif PY2: if atype == unicode: return True return False def deprecated(func, message="Deprecated!"): """Print deprecated message""" def inner(*arg, **keywords): """Print deperecated message""" warnings.warn(message, DeprecationWarning) return func(*arg, **keywords) return inner def append_doc(value): def _doc(func): func.__doc__ = dedent(func.__doc__) + "\n" + value return func return _doc pyexcel-0.7.0/pyexcel/book.py000066400000000000000000000153331420202037400161430ustar00rootroot00000000000000""" pyexcel.book ~~~~~~~~~~~~~~~~~~~ Excel book :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ from pyexcel import _compact as compact from pyexcel.sheet import Sheet from pyexcel.internal.meta import BookMeta from pyexcel.internal.common import SheetIterator LOCAL_UUID = 0 class Book(BookMeta): """ Read an excel book that has one or more sheets For csv file, there will be just one sheet """ def __init__(self, sheets=None, filename="memory", path=None): """ Book constructor Selecting a specific book according to filename extension :param sheets: a dictionary of data :param filename: the physical file :param path: the relative path or absolute path :param keywords: additional parameters to be passed on """ self.__path = None self.__name_array = [] self.filename = None self.__sheets = compact.OrderedDict() self.init(sheets=sheets, filename=filename, path=path) def init(self, sheets=None, filename="memory", path=None): """indpendent function so that it could be called multiple times""" self.__path = path self.filename = filename self.load_from_sheets(sheets) def load_from_sheets(self, sheets): """ Load content from existing sheets :param dict sheets: a dictionary of sheets. Each sheet is a list of lists """ if sheets is None: return keys = sheets.keys() for name in keys: value = sheets[name] if isinstance(value, Sheet): sheet = value sheet.name = name else: # array sheet = Sheet(value, name) # this sheets keep sheet order self.__sheets.update({name: sheet}) # this provide the convenience of access the sheet self.__dict__[name.replace(" ", "_")] = sheet self.__name_array = list(self.__sheets.keys()) def __iter__(self): return SheetIterator(self) def __len__(self): return len(self.__name_array) def sort_sheets(self, key=None, reverse=False): self.__name_array = sorted(self.__name_array, key=key, reverse=reverse) def number_of_sheets(self): """ Return the number of sheets """ return len(self) def sheet_names(self): """ Return all sheet names """ return self.__name_array def sheet_by_name(self, name): """ Get the sheet with the specified name """ return self.__sheets[name] def sheet_by_index(self, index): """ Get the sheet with the specified index """ if index < len(self.__name_array): sheet_name = self.__name_array[index] return self.sheet_by_name(sheet_name) def remove_sheet(self, sheet): """ Remove a sheet """ if isinstance(sheet, int): if sheet < len(self.__name_array): sheet_name = self.__name_array[sheet] del self.__sheets[sheet_name] self.__name_array = list(self.__sheets.keys()) else: raise IndexError elif isinstance(sheet, str): if sheet in self.__name_array: del self.__sheets[sheet] self.__name_array = list(self.__sheets.keys()) else: raise KeyError else: raise TypeError def __getitem__(self, key): """Override operator[]""" if isinstance(key, int): return self.sheet_by_index(key) else: return self.sheet_by_name(key) def __delitem__(self, other): """ Override del book[index] """ self.remove_sheet(other) return self def __add__(self, other): """ Override operator + example:: book3 = book1 + book2 book3 = book1 + book2["Sheet 1"] """ content = {} current_dict = self.to_dict() for k in current_dict.keys(): new_key = k if len(current_dict.keys()) == 1: new_key = "%s_%s" % (self.filename, k) content[new_key] = current_dict[k] if isinstance(other, Book): other_dict = other.to_dict() for key in other_dict.keys(): new_key = key if len(other_dict.keys()) == 1: new_key = other.filename if new_key in content: uid = local_uuid() new_key = "%s_%s" % (key, uid) content[new_key] = other_dict[key] elif isinstance(other, Sheet): new_key = other.name if new_key in content: uid = local_uuid() new_key = "%s_%s" % (other.name, uid) content[new_key] = other.array else: raise TypeError output = Book() output.load_from_sheets(content) return output def __iadd__(self, other): """ Operator overloading += example:: book += book2 book += book2["Sheet1"] """ if isinstance(other, Book): names = other.sheet_names() for name in names: new_key = name if len(names) == 1: new_key = other.filename if new_key in self.__name_array: uid = local_uuid() new_key = "%s_%s" % (name, uid) self.__sheets[new_key] = Sheet(other[name].array, new_key) elif isinstance(other, Sheet): new_key = other.name if new_key in self.__name_array: uid = local_uuid() new_key = "%s_%s" % (other.name, uid) self.__sheets[new_key] = Sheet(other.array, new_key) else: raise TypeError self.__name_array = list(self.__sheets.keys()) return self def to_dict(self): """Convert the book to a dictionary""" the_dict = compact.OrderedDict() for sheet in self: the_dict.update({sheet.name: sheet.array}) return the_dict def to_book(bookstream): """Convert a bookstream to Book""" if isinstance(bookstream, Book): return bookstream else: return Book( bookstream.to_dict(), filename=bookstream.filename, path=bookstream.path, ) def local_uuid(): """create home made uuid""" global LOCAL_UUID LOCAL_UUID = LOCAL_UUID + 1 return LOCAL_UUID pyexcel-0.7.0/pyexcel/constants.py000066400000000000000000000060021420202037400172160ustar00rootroot00000000000000""" pyexcel.constants ~~~~~~~~~~~~~~~~~~~ Constants appeared in pyexcel :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ # flake8: noqa DEFAULT_NA = "" DEFAULT_NAME = "pyexcel sheet" DEFAULT_SHEET_NAME = "pyexcel_sheet1" DEFAULT_NO_DATA = "" MESSAGE_WARNING = "We do not overwrite files" MESSAGE_WRITE_ERROR = "Cannot write sheet" MESSAGE_ERROR_02 = "No valid parameters found!" MESSAGE_DATA_ERROR_NO_SERIES = "No column names or row names found" MESSAGE_DATA_ERROR_EMPTY_COLUMN_LIST = ( "Column list is empty. Do not waste resource" ) MESSAGE_DATA_ERROR_COLUMN_LIST_INTEGER_TYPE = ( "Column list should be a list of integers" ) MESSAGE_DATA_ERROR_COLUMN_LIST_STRING_TYPE = ( "Column list should be a list of integers" ) MESSAGE_INDEX_OUT_OF_RANGE = "Index out of range" MESSAGE_DATA_ERROR_EMPTY_CONTENT = "Nothing to be pasted!" MESSAGE_DATA_ERROR_DATA_TYPE_MISMATCH = "Data type mismatch" MESSAGE_DATA_ERROR_ORDEREDDICT_IS_EXPECTED = "Please give a ordered list" MESSAGE_DEPRECATED_ROW_COLUMN = "Deprecated usage. Please use [row, column]" MESSAGE_DEPRECATED_OUT_FILE = ( "Depreciated usage of 'out_file'. please use dest_file_name" ) MESSAGE_DEPRECATED_CONTENT = ( "Depreciated usage of 'content'. please use file_content" ) MESSAGE_NOT_IMPLEMENTED_01 = ( "Please use attribute row or column to extend sheet" ) MESSAGE_NOT_IMPLEMENTED_02 = ( "Confused! What do you want to put as column names" ) MESSAGE_READONLY = "This attribute is readonly" MESSAGE_ERROR_NO_HANDLER = "No suitable plugins imported or installed" MESSAGE_UNKNOWN_IO_OPERATION = "Internal error: an illegal source action" MESSAGE_UPGRADE = "Please upgrade the plugin '%s' according to \ plugin compactibility table." _IMPLEMENTATION_REMOVED = "Deprecated since 0.3.0! Implementation removed" IO_FILE_TYPE_DOC_STRING = """ Get/Set data in/from {0} format You could obtain content in {0} format by dot notation:: {1}.{0} And you could as well set content by dot notation:: {1}.{0} = the_io_stream_in_{0}_format if you need to pass on more parameters, you could use:: {1}.get_{0}(**keywords) {1}.set_{0}(the_io_stream_in_{0}_format, **keywords) """ OUT_FILE_TYPE_DOC_STRING = """ Get data in {0} format You could obtain content in {0} format by dot notation:: {1}.{0} if you need to pass on more parameters, you could use:: {1}.get_{0}(**keywords) """ IN_FILE_TYPE_DOC_STRING = """ Set data in {0} format You could set content in {0} format by dot notation:: {1}.{0} if you need to pass on more parameters, you could use:: {1}.set_{0}(the_io_stream_in_{0}_format, **keywords) """ VALID_SHEET_PARAMETERS = [ "name_columns_by_row", "name_rows_by_column", "colnames", "rownames", "transpose_before", "transpose_after", ] # for sources # targets SOURCE = "source" SHEET = "sheet" BOOK = "book" # actions READ_ACTION = "read" WRITE_ACTION = "write" RW_ACTION = "read-write" FILE_TYPE_NOT_SUPPORTED_FMT = "File type '%s' is not supported for %s." pyexcel-0.7.0/pyexcel/cookbook.py000066400000000000000000000130361420202037400170150ustar00rootroot00000000000000""" pyexcel.cookbook ~~~~~~~~~~~~~~~~~~~ Cookbook for pyexcel :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ import os from pyexcel.book import Book from pyexcel.core import save_as, get_book, get_sheet from pyexcel._compact import OrderedDict from pyexcel.constants import MESSAGE_WARNING DEFAULT_OUT_FILE = "pyexcel_merged.csv" DEFAULT_OUT_XLS_FILE = "merged.xls" OUT_FILE_FORMATTER = "pyexcel_%s" def update_columns(infilename, column_dicts, outfilename=None): """Update one or more columns of a data file with series The data structure of column_dicts should be: key should be first row of the column the rest of the value should an array :param str infilename: an accessible file name :param dict column_dicts: dictionaries of columns :param str outfilename: save the sheet as """ default_out_file = OUT_FILE_FORMATTER % infilename if outfilename: default_out_file = outfilename if os.path.exists(default_out_file): raise NotImplementedError(MESSAGE_WARNING) sheet = get_sheet(file_name=infilename, name_columns_by_row=0) series = sheet.colnames for k in column_dicts.keys(): index = series.index(str(k)) sheet.set_column_at(index, column_dicts[k]) sheet.save_as(default_out_file) def update_rows(infilename, row_dicts, outfilename=None): """Update one or more rows of a data file with series datastucture: key should an integer of the row to be updated value should be an array of the data :param str infilename: an accessible file name :param dict row_dicts: dictionaries of rows :param str outfilename: save the sheet as """ default_out_file = OUT_FILE_FORMATTER % infilename if outfilename: default_out_file = outfilename if os.path.exists(default_out_file): raise NotImplementedError(MESSAGE_WARNING) sheet = get_sheet(file_name=infilename, name_rows_by_column=0) series = sheet.rownames for k in row_dicts.keys(): index = series.index(str(k)) sheet.set_row_at(index, row_dicts[k]) sheet.save_as(default_out_file) def merge_files(file_array, outfilename=DEFAULT_OUT_FILE): """merge many files horizontally column after column :param str outfilename: save the sheet as """ if os.path.exists(outfilename): raise NotImplementedError(MESSAGE_WARNING) content = [] for file_name in file_array: sheet = get_sheet(file_name=file_name) content.extend(list(sheet.columns())) merged_sheet = get_sheet(array=content) merged_sheet.transpose() merged_sheet.save_as(outfilename) return outfilename def merge_two_files(file1, file2, outfilename=DEFAULT_OUT_FILE): """merge two files :param str file1: an accessible file name :param str file2: an accessible file name :param str outfilename: save the sheet as """ if os.path.exists(outfilename): raise NotImplementedError(MESSAGE_WARNING) files = [file1, file2] merge_files(files, outfilename) def merge_readers(reader_array, outfilename=DEFAULT_OUT_FILE): """merge many readers With FilterableReader and SeriesReader, you can do custom filtering :param str outfilename: save the sheet as """ if os.path.exists(outfilename): raise NotImplementedError(MESSAGE_WARNING) content = OrderedDict() for reader in reader_array: content.update(reader.dict) save_as(dest_file_name=outfilename, adict=content) def merge_two_readers(reader1, reader2, outfilename=DEFAULT_OUT_FILE): """merge two readers :param str outfilename: save the sheet as """ if os.path.exists(outfilename): raise NotImplementedError(MESSAGE_WARNING) reader_array = [reader1, reader2] merge_readers(reader_array, outfilename) def merge_csv_to_a_book(filelist, outfilename=DEFAULT_OUT_XLS_FILE): """merge a list of csv files into a excel book :param list filelist: a list of accessible file path :param str outfilename: save the sheet as """ merged = Book() for file_name in filelist: sheet = get_sheet(file_name=file_name) _, tail = os.path.split(file_name) sheet.name = tail merged += sheet merged.save_as(outfilename) def merge_all_to_a_book(filelist, outfilename=DEFAULT_OUT_XLS_FILE): """merge a list of excel files into a excel book :param list filelist: a list of accessible file path :param str outfilename: save the sheet as """ merged = Book() for file_name in filelist: merged += get_book(file_name=file_name) merged.save_as(outfilename) def split_a_book(file_name, outfilename=None): """Split a file into separate sheets :param str file_name: an accessible file name :param str outfilename: save the sheets with file suffix """ book = get_book(file_name=file_name) if outfilename: saveas = outfilename else: saveas = file_name for sheet in book: filename = "%s_%s" % (sheet.name, saveas) sheet.save_as(filename) def extract_a_sheet_from_a_book(file_name, sheetname, outfilename=None): """Extract a sheet from a excel book :param str file_name: an accessible file name :param str sheetname: a valid sheet name :param str outfilename: save the sheet as """ book = get_book(file_name=file_name) if outfilename: saveas = outfilename else: saveas = file_name sheet = book[sheetname] file_name = "%s_%s" % (sheetname, saveas) sheet.save_as(file_name) pyexcel-0.7.0/pyexcel/core.py000066400000000000000000000172131420202037400161400ustar00rootroot00000000000000""" pyexcel.core ~~~~~~~~~~~~~~~~~~~ A list of pyexcel signature functions :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ import re from pyexcel import constants as constants from pyexcel import docstrings as docs from pyexcel.book import Book, to_book from pyexcel.sheet import Sheet from pyexcel._compact import OrderedDict, append_doc, zip_longest from pyexcel.internal import core as sources from pyexcel_io import manager as manager STARTS_WITH_DEST = "^dest_(.*)" SAVE_AS_EXCEPTION = ( "This function does not accept parameters for " + "pyexce.Sheet. Please use pyexcel.save_as instead." ) @append_doc(docs.GET_SHEET) def get_sheet(**keywords): """ Get an instance of :class:`Sheet` from an excel source """ sheet_params = {} for field in constants.VALID_SHEET_PARAMETERS: if field in keywords: sheet_params[field] = keywords.pop(field) named_content = sources.get_sheet_stream(**keywords) sheet = Sheet(named_content.payload, named_content.name, **sheet_params) return sheet @append_doc(docs.GET_BOOK) def get_book(**keywords): """ Get an instance of :class:`Book` from an excel source """ book_stream = sources.get_book_stream(**keywords) book = Book( book_stream.to_dict(), filename=book_stream.filename, path=book_stream.path, ) return book @append_doc(docs.IGET_BOOK) def iget_book(**keywords): """ Get an instance of :class:`BookStream` from an excel source First use case is to get all sheet names without extracting the sheets into memory. """ return sources.get_book_stream(on_demand=True, **keywords) @append_doc(docs.SAVE_AS) def save_as(**keywords): """ Save a sheet from a data source to another one """ dest_keywords, source_keywords = _split_keywords(**keywords) sheet_params = {} for field in constants.VALID_SHEET_PARAMETERS: if field in source_keywords: sheet_params[field] = source_keywords.pop(field) sheet_stream = sources.get_sheet_stream(**source_keywords) output_sheet_name = sheet_stream.name if "sheet_name" in dest_keywords: output_sheet_name = dest_keywords["sheet_name"] sheet = Sheet(sheet_stream.payload, output_sheet_name, **sheet_params) return sources.save_sheet(sheet, **dest_keywords) @append_doc(docs.ISAVE_AS) def isave_as(**keywords): """ Save a sheet from a data source to another one with less memory It is simliar to :meth:`pyexcel.save_as` except that it does not accept parameters for :class:`pyexcel.Sheet`. And it read when it writes. """ dest_keywords, source_keywords = _split_keywords(**keywords) for field in constants.VALID_SHEET_PARAMETERS: if field in source_keywords: raise Exception(SAVE_AS_EXCEPTION) sheet = sources.get_sheet_stream(on_demand=True, **source_keywords) if "sheet_name" in dest_keywords: sheet.name = dest_keywords["sheet_name"] return sources.save_sheet(sheet, **dest_keywords) @append_doc(docs.SAVE_BOOK_AS) def save_book_as(**keywords): """ Save a book from a data source to another one """ dest_keywords, source_keywords = _split_keywords(**keywords) book = sources.get_book_stream(**source_keywords) book = to_book(book) return sources.save_book(book, **dest_keywords) @append_doc(docs.ISAVE_BOOK_AS) def isave_book_as(**keywords): """ Save a book from a data source to another one It is simliar to :meth:`pyexcel.save_book_as` but it read when it writes. This function provide some speedup but the output data is not made uniform. """ dest_keywords, source_keywords = _split_keywords(**keywords) book = sources.get_book_stream(on_demand=True, **source_keywords) return sources.save_book(book, **dest_keywords) @append_doc(docs.GET_ARRAY) def get_array(**keywords): """ Obtain an array from an excel source It accepts the same parameters as :meth:`~pyexcel.get_sheet` but return an array instead. """ sheet = get_sheet(**keywords) return sheet.to_array() @append_doc(docs.GET_DICT) def get_dict(name_columns_by_row=0, **keywords): """ Obtain a dictionary from an excel source It accepts the same parameters as :meth:`~pyexcel.get_sheet` but return a dictionary instead. Specifically: name_columns_by_row : specify a row to be a dictionary key. It is default to 0 or first row. If you would use a column index 0 instead, you should do:: get_dict(name_columns_by_row=-1, name_rows_by_column=0) """ sheet = get_sheet(name_columns_by_row=name_columns_by_row, **keywords) return sheet.to_dict() @append_doc(docs.GET_RECORDS) def get_records(name_columns_by_row=0, **keywords): """ Obtain a list of records from an excel source It accepts the same parameters as :meth:`~pyexcel.get_sheet` but return a list of dictionary(records) instead. Specifically: name_columns_by_row : specify a row to be a dictionary key. It is default to 0 or first row. If you would use a column index 0 instead, you should do:: get_records(name_columns_by_row=-1, name_rows_by_column=0) """ sheet = get_sheet(name_columns_by_row=name_columns_by_row, **keywords) return list(sheet.to_records()) @append_doc(docs.IGET_ARRAY) def iget_array(**keywords): """ Obtain a generator of an two dimensional array from an excel source It is similiar to :meth:`pyexcel.get_array` but it has less memory footprint. """ sheet_stream = sources.get_sheet_stream(on_demand=True, **keywords) return sheet_stream.payload @append_doc(docs.IGET_RECORDS) def iget_records(custom_headers=None, **keywords): """ Obtain a generator of a list of records from an excel source It is similiar to :meth:`pyexcel.get_records` but it has less memory footprint but requires the headers to be in the first row. And the data matrix should be of equal length. It should consume less memory and should work well with large files. """ sheet_stream = sources.get_sheet_stream(on_demand=True, **keywords) headers = None for row_index, row in enumerate(sheet_stream.payload): if row_index == 0: headers = row else: if custom_headers: # custom order tmp_dict = dict( zip_longest(headers, row, fillvalue=constants.DEFAULT_NA) ) ordered_dict = OrderedDict() for name in custom_headers: ordered_dict[name] = tmp_dict[name] yield ordered_dict else: # default order yield OrderedDict( zip_longest(headers, row, fillvalue=constants.DEFAULT_NA) ) @append_doc(docs.GET_BOOK_DICT) def get_book_dict(**keywords): """ Obtain a dictionary of two dimensional arrays It accepts the same parameters as :meth:`~pyexcel.get_book` but return a dictionary instead. """ book = get_book(**keywords) return book.to_dict() def get_io_type(file_type): """ Return the io stream types, string or bytes """ io_type = manager.get_io_type(file_type) if io_type is None: io_type = "string" return io_type def _split_keywords(**keywords): dest_keywords = {} source_keywords = {} for key, value in keywords.items(): result = re.match(STARTS_WITH_DEST, key) if result: parameter = result.group(1) dest_keywords[parameter] = value else: source_keywords[key] = value return dest_keywords, source_keywords pyexcel-0.7.0/pyexcel/deprecated.py000066400000000000000000000136441420202037400173140ustar00rootroot00000000000000""" pyexcel.deprecated ~~~~~~~~~~~~~~~~~~~ List of apis that become deprecated but was kept for backward compatibility :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from functools import partial from pyexcel.core import get_book, get_sheet from pyexcel._compact import deprecated DEPRECATED_LOADER = partial( deprecated, message="Deprecated since v0.1.5! Please use get_sheet instead.", ) DEPRECATED_BOOK_LOADER = partial( deprecated, message="Deprecated since v0.1.5! Please use get_book instead." ) @DEPRECATED_BOOK_LOADER def load_book(file_name, **keywords): """Load content from physical file :param str file_name: the file name :param any keywords: additional parameters """ return get_book(file_name=file_name, **keywords) @DEPRECATED_BOOK_LOADER def load_book_from_memory(file_type, file_content, **keywords): """Load content from memory content :param tuple the_tuple: first element should be file extension, second element should be file content :param any keywords: additional parameters """ return get_book(file_type=file_type, file_content=file_content, **keywords) @DEPRECATED_LOADER def load(file_name, sheetname=None, **keywords): """Constructs an instance :class:`Sheet` from a sheet of an excel file except csv, most excel files has more than one sheet. Hence sheetname is required here to indicate from which sheet the instance should be constructed. If this parameter is omitted, the first sheet, which is indexed at 0, is used. For csv, sheetname is always omitted because csv file contains always one sheet. :param str sheetname: which sheet to be used for construction :param int name_colmns_by_row: which row to give column names :param int name_rows_by_column: which column to give row names :param dict keywords: other parameters """ if isinstance(file_name, tuple): sheet = get_sheet( file_type=file_name[0], file_content=file_name[1], sheet_name=sheetname, **keywords ) else: sheet = get_sheet( file_name=file_name, sheet_name=sheetname, **keywords ) return sheet @DEPRECATED_LOADER def load_from_memory(file_type, file_content, sheetname=None, **keywords): """Constructs an instance :class:`Sheet` from memory :param str file_type: one value of these: 'csv', 'tsv', 'csvz', 'tsvz', 'xls', 'xlsm', 'xslm', 'ods' :param iostream file_content: file content :param str sheetname: which sheet to be used for construction :param dict keywords: any other parameters """ return get_sheet( file_type=file_type, file_content=file_content, sheet_name=sheetname, **keywords ) @DEPRECATED_LOADER def load_from_dict(the_dict, with_keys=True, **keywords): """Return a sheet from a dictionary of one dimensional arrays :param dict the_dict: its value should be one dimensional array :param bool with_keys: indicate if dictionary keys should be appended or not """ return get_sheet(adict=the_dict, with_keys=with_keys, **keywords) @DEPRECATED_LOADER def load_from_records(records, **keywords): """Return a sheet from a list of records Sheet.to_records() would produce a list of dictionaries. All dictionaries share the same keys. :params list records: records are likely to be produced by Sheet.to_records() method. """ return get_sheet(records=records, **keywords) @partial( deprecated, message="Deprecated since v0.0.7! Please use class Sheet instead", ) def Reader(file_name=None, sheetname=None, **keywords): """ A single sheet excel file reader Default is the sheet at index 0. Or you specify one using sheet index or sheet name. The short coming of this reader is: column filter is applied first then row filter is applied next use as class would fail though changed since 0.0.7 """ if isinstance(file_name, tuple): return get_sheet( file_type=file_name[0], file_content=file_name[1], sheet_name=sheetname, **keywords ) else: return get_sheet(file_name=file_name, sheet_name=sheetname, **keywords) @partial( deprecated, message=( "Deprecated since v0.0.7! Please use class " + "Sheet(..., name_columns_by_row=0,..) instead" ), ) def SeriesReader(file_name=None, sheetname=None, series=0, **keywords): """A single sheet excel file reader and it has column headers in a selected row use as class would fail changed since 0.0.7 """ if isinstance(file_name, tuple): return get_sheet( file_type=file_name[0], file_content=file_name[1], name_columns_by_row=series, **keywords ) else: return load( file_name, sheetname=sheetname, name_columns_by_row=series, **keywords ) @partial( deprecated, message="Please use class Sheet(..., name_rows_by_column=0..) instead", ) def ColumnSeriesReader(file_name=None, sheetname=None, series=0, **keywords): """A single sheet excel file reader and it has row headers in a selected column use as class would fail changed since 0.0.7 """ if isinstance(file_name, tuple): return get_sheet( file_type=file_name[0], file_content=file_name[1], name_rows_by_column=series, **keywords ) else: return load( file_name, sheetname=sheetname, name_rows_by_column=series, **keywords ) @partial( deprecated, message="Deprecated since v0.0.7! Please use class Book instead", ) def BookReader(file_name, **keywords): """For backward compatibility""" return load_book(file_name, **keywords) pyexcel-0.7.0/pyexcel/docstrings/000077500000000000000000000000001420202037400170115ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/docstrings/__init__.py000066400000000000000000000007461420202037400211310ustar00rootroot00000000000000""" pyexcel.docstrings ~~~~~~~~~~~~~~~~~~~ Reusible docstrings :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ # flake8: noqa from .core import ( SAVE_AS, GET_BOOK, GET_DICT, ISAVE_AS, GET_ARRAY, GET_SHEET, IGET_BOOK, IGET_ARRAY, GET_RECORDS, IGET_RECORDS, SAVE_BOOK_AS, GET_BOOK_DICT, ISAVE_BOOK_AS, ) from .meta import SAVE_AS_OPTIONS from .garbagecollector import FREE_RESOURCES pyexcel-0.7.0/pyexcel/docstrings/core.py000066400000000000000000000055241420202037400203210ustar00rootroot00000000000000""" pyexcel.docstrings.core ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Reusible docstrings for pyexcel.core :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from . import keywords __GET_ARRAY__ = ( keywords.SOURCE_PARAMS_TABLE + """ **Parameters** """ + keywords.SOURCE_PARAMS ) __GET_SHEET__ = ( keywords.EXAMPLE_NOTE_PAGINATION + __GET_ARRAY__ ) __GET_BOOK__ = ( keywords.SOURCE_BOOK_PARAMS_TABLE + """ **Parameters** """ + keywords.SOURCE_BOOK_PARAMS ) I_NOTE = ( """ When you use this function to work on physical files, this function will leave its file handle open. When you finish the operation on its data, you need to call :func:`pyexcel.free_resources` to close file hande(s). """ + keywords.I_NOTE ) __SAVE_AS__ = ( """ It accepts two sets of keywords. Why two sets? one set is source, the other set is destination. In order to distinguish the two sets, source set will be exactly the same as the ones for :meth:`pyexcel.get_sheet`; destination set are exactly the same as the ones for :class:`pyexcel.Sheet.save_as` but require a 'dest' prefix. """ + keywords.DEST_PARAMS_TABLE + __GET_SHEET__ + keywords.DEST_PARAMS + """ if csv file is destination format, python csv `fmtparams `_ are accepted for example: dest_lineterminator will replace default '\r\n' to the one you specified In addition, this function use :class:`pyexcel.Sheet` to render the data which could have performance penalty. In exchange, parameters for :class:`pyexcel.Sheet` can be passed on, e.g. `name_columns_by_row`. """ ) __SAVE_BOOK_AS__ = ( __GET_BOOK__ + keywords.DEST_BOOK_PARAMS + """ Where the dictionary should have text as keys and two dimensional array as values. ================ ============================================ Saving to source parameters ================ ============================================ file dest_file_name, dest_sheet_name, keywords with prefix 'dest' memory dest_file_type, dest_content, dest_sheet_name, keywords with prefix 'dest' sql dest_session, dest_tables, dest_table_init_func, dest_mapdict django model dest_models, dest_initializers, dest_mapdict, dest_batch_size ================ ============================================ """ ) GET_SHEET = __GET_SHEET__ GET_ARRAY = __GET_ARRAY__ IGET_ARRAY = __GET_ARRAY__ + I_NOTE GET_DICT = __GET_SHEET__ GET_RECORDS = __GET_SHEET__ IGET_RECORDS = __GET_SHEET__ + I_NOTE SAVE_AS = __SAVE_AS__ ISAVE_AS = __SAVE_AS__ + I_NOTE GET_BOOK = __GET_BOOK__ IGET_BOOK = __GET_BOOK__ + I_NOTE GET_BOOK_DICT = __GET_BOOK__ SAVE_BOOK_AS = __SAVE_BOOK_AS__ ISAVE_BOOK_AS = __SAVE_BOOK_AS__ + I_NOTE pyexcel-0.7.0/pyexcel/docstrings/garbagecollector.py000066400000000000000000000000661420202037400226640ustar00rootroot00000000000000from .keywords import I_NOTE FREE_RESOURCES = I_NOTE pyexcel-0.7.0/pyexcel/docstrings/keywords.py000066400000000000000000000307471420202037400212450ustar00rootroot00000000000000""" pyexcel.docstrings.keywords ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Reusible docstrings for keywords in signature functions :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ CSV_PARAMS = """ **Parameters related to csv file format** for csv, `fmtparams `_ are accepted delimiter : field separator lineterminator : line terminator encoding: csv specific. Specify the file encoding the csv file. For example: encoding='latin1'. Especially, encoding='utf-8-sig' would add utf 8 bom header if used in renderer, or would parse a csv with utf brom header used in parser. escapechar : A one-character string used by the writer to escape the delimiter if quoting is set to QUOTE_NONE and the quotechar if doublequote is False. quotechar : A one-character string used to quote fields containing special characters, such as the delimiter or quotechar, or which contain new-line characters. It defaults to '"' quoting : Controls when quotes should be generated by the writer and recognised by the reader. It can take on any of the QUOTE_* constants (see section Module Contents) and defaults to QUOTE_MINIMAL. skipinitialspace : When True, whitespace immediately following the delimiter is ignored. The default is False. pep_0515_off : When True in python version 3.6, PEP-0515 is turned on. The default is False """ XLRD_PARAMS = """ **Parameters related to xls file format:** Please note the following parameters apply to pyexcel-xls. more details can be found in :func:`xlrd.open_workbook` logfile: An open file to which messages and diagnostics are written. verbosity: Increases the volume of trace material written to the logfile. use_mmap: Whether to use the mmap module is determined heuristically. Use this arg to override the result. Current heuristic: mmap is used if it exists. encoding_override: Used to overcome missing or bad codepage information in older-version files. formatting_info: The default is False, which saves memory. When True, formatting information will be read from the spreadsheet file. This provides all cells, including empty and blank cells. Formatting information is available for each cell. ragged_rows: The default of False means all rows are padded out with empty cells so that all rows have the same size as found in ncols. True means that there are no empty cells at the ends of rows. This can result in substantial memory savings if rows are of widely varying sizes. See also the row_len() method. """ OPTIONAL_BOOK_PARAMS = """ sheets: a list of mixed sheet names and sheet indices to be read. This is done to keep Pandas compactibility. With this parameter, more than one sheet can be read and you have the control to read the sheets of your interest instead of all available sheets. """ OPTIONAL_PARAMS = """ auto_detect_float : defaults to True auto_detect_int : defaults to True auto_detect_datetime : defaults to True ignore_infinity : defaults to True library : choose a specific pyexcel-io plugin for reading source_library : choose a specific data source plugin for reading parser_library : choose a pyexcel parser plugin for reading skip_hidden_sheets: default is True. Please toggle it to read hidden sheets """ FILE_PARAMS = """ file_name : a file with supported file extension file_content : the file content file_stream : the file stream file_type : the file type in *file_content* or *file_stream* """ SKIPPING_FUNC_PROTOCOL = """ The protocol is to return pyexcel_io.constants.SKIP_DATA if skipping data, pyexcel_io.constants.TAKE_DATA to read data, pyexcel_io.constants.STOP_ITERATION to exit the reading procedure """ PAGINATION_PARAMS = ( """ start_row : int defaults to 0. It allows you to skip rows at the begginning row_limit: int defaults to -1, meaning till the end of the whole sheet. It allows you to skip the tailing rows. start_column : int defaults to 0. It allows you to skip columns on your left hand side column_limit: int defaults to -1, meaning till the end of the columns. It allows you to skip the tailing columns. skip_row_func: It allows you to write your own row skipping functions. """ + SKIPPING_FUNC_PROTOCOL + """ skip_column_func: It allows you to write your own column skipping functions. """ + SKIPPING_FUNC_PROTOCOL + """ skip_empty_rows: bool Defaults to False. Toggle it to True if the rest of empty rows are useless, but it does affect the number of rows. row_renderer: You could choose to write a custom row renderer when the data is being read. """ ) SOURCE_PARAMS = ( FILE_PARAMS + """ session : database session table : database table model: a django model adict: a dictionary of one dimensional arrays url : a download http url for your excel file with_keys : load with previous dictionary's keys, default is True records : a list of dictionaries that have the same keys array : a two dimensional array, a list of lists sheet_name : sheet name. if sheet_name is not given, the default sheet at index 0 is loaded """ + PAGINATION_PARAMS + OPTIONAL_PARAMS + CSV_PARAMS + XLRD_PARAMS ) SOURCE_PARAMS_TABLE = """ Not all parameters are needed. Here is a table ========================== ========================================= source parameters ========================== ========================================= loading from file file_name, sheet_name, keywords loading from string file_content, file_type, sheet_name, keywords loading from stream file_stream, file_type, sheet_name, keywords loading from sql session, table loading from sql in django model loading from query sets any query sets(sqlalchemy or django) loading from dictionary adict, with_keys loading from records records loading from array array loading from an url url ========================== ========================================= """ DEST_FILE_PARAMS = """ dest_file_name: another file name. dest_file_type: this is needed if you want to save to memory """ DEST_PARAMS = ( DEST_FILE_PARAMS + """ dest_session: the target database session dest_table: the target destination table dest_model: the target django model dest_mapdict: a mapping dictionary see :meth:`pyexcel.Sheet.save_to_memory` dest_initializer: a custom initializer function for table or model dest_mapdict: nominate headers dest_batch_size: object creation batch size. it is Django specific dest_library: choose a specific pyexcel-io plugin for writing dest_source_library: choose a specific data source plugin for writing dest_renderer_library: choose a pyexcel parser plugin for writing """ ) DEST_PARAMS_TABLE = """ ================= ============================================= Saving to source parameters ================= ============================================= file dest_file_name, dest_sheet_name,dest_force_file_type keywords with prefix 'dest' memory dest_file_type, dest_content, dest_sheet_name, keywords with prefix 'dest' sql dest_session, dest_table, dest_initializer, dest_mapdict django model dest_model, dest_initializer, dest_mapdict, dest_batch_size ================= ============================================= """ DEST_BOOK_PARAMS = ( DEST_FILE_PARAMS + """ dest_session : the target database session dest_tables : the list of target destination tables dest_models : the list of target destination django models dest_mapdicts : a list of mapping dictionaries dest_initializers : table initialization functions dest_mapdicts : to nominate a model or table fields. Optional dest_batch_size : batch creation size. Optional """ ) SOURCE_BOOK_PARAMS = ( FILE_PARAMS + """ session : database session tables : a list of database table models : a list of django models bookdict : a dictionary of two dimensional arrays url : a download http url for your excel file """ + OPTIONAL_BOOK_PARAMS + OPTIONAL_PARAMS + CSV_PARAMS ) SOURCE_BOOK_PARAMS_TABLE = """ Here is a table of parameters: ========================== =============================== source parameters ========================== =============================== loading from file file_name, keywords loading from string file_content, file_type, keywords loading from stream file_stream, file_type, keywords loading from sql session, tables loading from django models models loading from dictionary bookdict loading from an url url ========================== =============================== Where the dictionary should have text as keys and two dimensional array as values. """ I_NOTE = """ for csv, csvz file formats, file handles will be left open. for xls, ods file formats, the file is read all into memory and is close afterwards. for xlsx, file handles will be left open in python 2.7 - 3.5 by pyexcel-xlsx(openpyxl). In other words, pyexcel-xls, pyexcel-ods, pyexcel-ods3 won't leak file handles. """ EXAMPLE_NOTE_PAGINATION = """ **Examples on start_row, start_column** .. testcode:: :hide: >>> import sys >>> if sys.version_info[0] < 3: ... from StringIO import StringIO ... else: ... from io import StringIO >>> from pyexcel_io._compact import OrderedDict Let's assume the following file is a huge csv file: .. code-block:: python >>> import datetime >>> import pyexcel as pe >>> data = [ ... [1, 21, 31], ... [2, 22, 32], ... [3, 23, 33], ... [4, 24, 34], ... [5, 25, 35], ... [6, 26, 36] ... ] >>> pe.save_as(array=data, dest_file_name="your_file.csv") And let's pretend to read partial data: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_row=2, row_limit=3) your_file.csv: +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ And you could as well do the same for columns: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", start_column=1, column_limit=2) your_file.csv: +----+----+ | 21 | 31 | +----+----+ | 22 | 32 | +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ | 26 | 36 | +----+----+ Obvious, you could do both at the same time: .. code-block:: python >>> pe.get_sheet(file_name="your_file.csv", ... start_row=2, row_limit=3, ... start_column=1, column_limit=2) your_file.csv: +----+----+ | 23 | 33 | +----+----+ | 24 | 34 | +----+----+ | 25 | 35 | +----+----+ The pagination support is available across all pyexcel plugins. .. note:: No column pagination support for query sets as data source. *Formatting while transcoding a big data file* If you are transcoding a big data set, conventional formatting method would not help unless a on-demand free RAM is available. However, there is a way to minimize the memory footprint of pyexcel while the formatting is performed. Let's continue from previous example. Suppose we want to transcode "your_file.csv" to "your_file.xls" but increase each element by 1. What we can do is to define a row renderer function as the following: >>> def increment_by_one(row): ... for element in row: ... yield element + 1 Then pass it onto save_as function using row_renderer: >>> pe.isave_as(file_name="your_file.csv", ... row_renderer=increment_by_one, ... dest_file_name="your_file.xlsx") .. note:: If the data content is from a generator, isave_as has to be used. We can verify if it was done correctly: >>> pe.get_sheet(file_name="your_file.xlsx") your_file.csv: +---+----+----+ | 2 | 22 | 32 | +---+----+----+ | 3 | 23 | 33 | +---+----+----+ | 4 | 24 | 34 | +---+----+----+ | 5 | 25 | 35 | +---+----+----+ | 6 | 26 | 36 | +---+----+----+ | 7 | 27 | 37 | +---+----+----+ .. testcode:: :hide: >>> import os >>> pe.free_resources() >>> os.unlink("your_file.csv") >>> os.unlink("your_file.xlsx") """ # noqa: W291 pyexcel-0.7.0/pyexcel/docstrings/meta.py000066400000000000000000000010601420202037400203060ustar00rootroot00000000000000""" pyexcel.docstrings.meta ~~~~~~~~~~~~~~~~~~~~~~~~~ Reusible docstrings for pyexcel.internal.meta :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from .keywords import CSV_PARAMS SAVE_AS_OPTIONS = ( """ Keywords may vary depending on your file type, because the associated file type employs different library. **PARAMETERS** filename: a file path library: choose a specific pyexcel-io plugin for writing renderer_library: choose a pyexcel parser plugin for writing """ + CSV_PARAMS ) pyexcel-0.7.0/pyexcel/exceptions.py000066400000000000000000000007161420202037400173710ustar00rootroot00000000000000""" pyexcel.exceptions ~~~~~~~~~~~~~~~~~~~ Exceptions appeared in pyexcel :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ class UnknownParameters(Exception): """Unknown parameter(s) were given to the signature functions""" pass class FileTypeNotSupported(Exception): """A file type is not supported""" pass class UpgradePlugin(Exception): """Please upgrade your plugin""" pass pyexcel-0.7.0/pyexcel/internal/000077500000000000000000000000001420202037400164465ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/internal/__init__.py000066400000000000000000000015571420202037400205670ustar00rootroot00000000000000""" pyexcel.internal ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Pyexcel internals that subjected to change :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from lml.loader import scan_plugins_regex from pyexcel.internal.plugins import PARSER, RENDERER # noqa from pyexcel.internal.generators import BookStream, SheetStream # noqa from pyexcel.internal.source_plugin import SOURCE # noqa BLACK_LIST = [ "pyexcel_io", "pyexcel_webio", "pyexcel_xlsx", "pyexcel_xls", "pyexcel_ods3", "pyexcel_ods", "pyexcel_odsr", "pyexcel_xlsxw", ] WHITE_LIST = [ "pyexcel.plugins.parsers", "pyexcel.plugins.renderers", "pyexcel.plugins.sources", ] scan_plugins_regex( plugin_name_patterns="^pyexcel_.+$", pyinstaller_path="pyexcel", black_list=BLACK_LIST, white_list=WHITE_LIST, ) pyexcel-0.7.0/pyexcel/internal/attributes.py000066400000000000000000000032201420202037400212030ustar00rootroot00000000000000""" pyexcel.internal.attributes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Book and sheet attributes :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import constants as constants ATTRIBUTE_REGISTRY = { constants.SHEET: { constants.READ_ACTION: set(), constants.WRITE_ACTION: set(), constants.RW_ACTION: set(), }, constants.BOOK: { constants.READ_ACTION: set(), constants.WRITE_ACTION: set(), constants.RW_ACTION: set(), }, } def register_book_attribute(target, action, attr): from .meta import BookMeta register_an_attribute(BookMeta, target, action, attr) def register_sheet_attribute(target, action, attr): from .meta import SheetMeta register_an_attribute(SheetMeta, target, action, attr) def register_an_attribute(meta_cls, target, action, attr): """Register a file type as an attribute""" if attr in ATTRIBUTE_REGISTRY[target][constants.RW_ACTION]: # No registration required return ATTRIBUTE_REGISTRY[target][action].add(attr) if action == constants.READ_ACTION: meta_cls.register_input(attr) else: meta_cls.register_presentation(attr) intersection = ( attr in ATTRIBUTE_REGISTRY[target][constants.READ_ACTION] and attr in ATTRIBUTE_REGISTRY[target][constants.WRITE_ACTION] ) if intersection: ATTRIBUTE_REGISTRY[target][constants.RW_ACTION].add(attr) ATTRIBUTE_REGISTRY[target][constants.READ_ACTION].remove(attr) ATTRIBUTE_REGISTRY[target][constants.WRITE_ACTION].remove(attr) meta_cls.register_io(attr) pyexcel-0.7.0/pyexcel/internal/common.py000066400000000000000000000026771420202037400203240ustar00rootroot00000000000000""" pyexcel.internal.common ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Defintion for the shared objects :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ NO_COLUMN_NAMES = "Only sheet with column names is accepted" class SheetIterator(object): """ Sheet Iterator """ def __init__(self, bookreader): self.book_reader_ref = bookreader self.current = 0 def __iter__(self): return self def __next__(self): return self.next() def next(self): """get next sheet""" if self.current < self.book_reader_ref.number_of_sheets(): self.current += 1 return self.book_reader_ref[self.current - 1] else: raise StopIteration def get_sheet_headers(sheet): from pyexcel.internal.generators import SheetStream if isinstance(sheet, SheetStream): headers = next(sheet.payload) else: headers = sheet.colnames if len(headers) == 0: raise Exception(NO_COLUMN_NAMES) return headers def get_book_headers_in_array(book): from pyexcel.internal.generators import BookStream if isinstance(book, BookStream): colnames_array = [next(sheet.payload) for sheet in book] else: for sheet in book: if len(sheet.colnames) == 0: sheet.name_columns_by_row(0) colnames_array = [sheet.colnames for sheet in book] return colnames_array pyexcel-0.7.0/pyexcel/internal/core.py000066400000000000000000000037111420202037400177520ustar00rootroot00000000000000""" pyexcel.internal.core ~~~~~~~~~~~~~~~~~~~~~~ elementary functions to read and write generic excel content :copyright: (c) 2015-2021 by Onni Software Ltd. :license: New BSD License """ from pyexcel.internal import SOURCE from pyexcel.constants import DEFAULT_NO_DATA from pyexcel.internal.generators import BookStream, SheetStream def get_sheet_stream(**keywords): """ Get an instance of SheetStream from an excel source """ a_source = SOURCE.get_source(**keywords) filename, path = a_source.get_source_info() sheets = a_source.get_data() if sheets: sheet_name, data = _one_sheet_tuple(sheets.items()) return SheetStream(sheet_name, data) else: return SheetStream(DEFAULT_NO_DATA, [[]]) def get_book_stream(**keywords): """ Get an instance of BookStream from an excel source Where the dictionary should have text as keys and two dimensional array as values. """ a_source = SOURCE.get_book_source(**keywords) filename, path = a_source.get_source_info() sheets = a_source.get_data() return BookStream(sheets, filename=filename, path=path) def save_sheet(sheet, **keywords): """ Save a sheet instance to any source """ a_source = SOURCE.get_writable_source(**keywords) return _save_any(a_source, sheet) def save_book(book, **keywords): """ Save a book instance to any source """ a_source = SOURCE.get_writable_book_source(**keywords) return _save_any(a_source, book) def _save_any(a_source, instance): a_source.write_data(instance) try: content_stream = a_source.get_content() _seek_at_zero(content_stream) return content_stream except AttributeError: return None def _seek_at_zero(a_stream): import io try: a_stream.seek(0) except io.UnsupportedOperation: pass def _one_sheet_tuple(items): items = list(items) return items[0][0], items[0][1] pyexcel-0.7.0/pyexcel/internal/garbagecollector.py000066400000000000000000000014031420202037400223150ustar00rootroot00000000000000""" pyexcel.internal.garbagecollector ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Simple garbage collector :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import docstrings as docs from pyexcel._compact import append_doc GARBAGE = [] def append(item): """ add garbage to the global list of garbages """ global GARBAGE GARBAGE.append(item) @append_doc(docs.FREE_RESOURCES) def free_resources(): """ Close file handles opened by signature functions that starts with 'i' """ for item in GARBAGE: item.close() item = None reset() def reset(): """ After everything has been closed, reset the array """ global GARBAGE GARBAGE = [] pyexcel-0.7.0/pyexcel/internal/generators.py000066400000000000000000000072331420202037400211760ustar00rootroot00000000000000""" pyexcel.internal.generators ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Defintion for the sheet and book generators. :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel._compact import OrderedDict from pyexcel.internal.common import SheetIterator class SheetStream(object): """ Memory efficient sheet representation This class wraps around the data read from pyexcel-io. Comparing with :class:`pyexcel.Sheet`, the instance of this class does not load all data into memory. Hence it performs better when dealing with big data. If you would like to do custom rendering for each row of the two dimensional data, you would need to pass a row formatting/rendering function to the parameter "renderer" of pyexcel's signature functions. """ def __init__(self, name, payload): self.name = name self.payload = payload self.colnames = [] def to_array(self): """ Simply return the generator """ return self.payload @property def array(self): """array attribute""" return list(self.payload) def get_internal_array(self): return self.payload class BookStream(object): """ Memory efficient book representation Comparing with :class:`pyexcel.Book`, the instace of this class uses :class:`pyexcel.generators.SheetStream` as its internal repesentation of sheet objects. Because `SheetStream` does not read data into memory, it is memory efficient. """ def __init__(self, sheets=None, filename="memory", path=None): """Book constructor Selecting a specific book according to filename extension :param OrderedDict/dict sheets: a dictionary of data :param str filename: the physical file :param str path: the relative path or absolute path :param set keywords: additional parameters to be passed on """ self.path = path self.filename = filename self.name_array = [] if sheets: self.load_from_sheets(sheets) else: self.sheets = {} def load_from_sheets(self, sheets): """Load content from existing sheets :param dict sheets: a dictionary of sheets. Each sheet is a list of lists """ if sheets is None: return self.sheets = OrderedDict() keys = sheets.keys() if not isinstance(sheets, OrderedDict): # if the end user does not care about the order # we put alphatical order keys = sorted(keys) for name in keys: sheet = SheetStream(name, sheets[name]) # this sheets keep sheet order self.sheets.update({name: sheet}) # this provide the convenience of access the sheet self.__dict__[name] = sheet self.name_array = list(self.sheets.keys()) def sheet_names(self): return self.name_array def to_dict(self): """ Get book data structure as a dictionary """ the_dict = OrderedDict() for sheet in self: the_dict.update({sheet.name: sheet.payload}) return the_dict def __iter__(self): return SheetIterator(self) def number_of_sheets(self): """Return the number of sheets""" return len(self.name_array) def __getitem__(self, index): if isinstance(index, int): if index < len(self.name_array): sheet_name = self.name_array[index] return self.sheets[sheet_name] else: sheet_name = index return self.sheets[sheet_name] pyexcel-0.7.0/pyexcel/internal/meta.py000066400000000000000000000316031420202037400177510ustar00rootroot00000000000000""" pyexcel.internal.meta ~~~~~~~~~~~~~~~~~~~~~~ Annotate sheet and book class' attributes :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ import sys from functools import partial from pyexcel import constants as constants from pyexcel import docstrings as docs from pyexcel._compact import PY2, append_doc from pyexcel.internal import SOURCE from pyexcel.internal.core import save_book, save_sheet, get_sheet_stream from pyexcel.internal.utils import make_a_property def make_presenter(source_getter, attribute=None): """make a custom presentation method for each file types""" def custom_presenter(self, **keywords): """docstring is assigned a few lines down the line""" keyword = SOURCE.get_keyword_for_parameter(attribute) keywords[keyword] = attribute memory_source = source_getter(**keywords) memory_source.write_data(self) try: content_stream = memory_source.get_content() content = content_stream.getvalue() except AttributeError: # python 3 _io.TextWrapper content = None return content custom_presenter.__doc__ = "Get data in %s format" % attribute return custom_presenter def sheet_presenter(attribute=None): """make a custom presentation method for sheet""" source_getter = SOURCE.get_writable_source return make_presenter(source_getter, attribute) def book_presenter(attribute=None): """make a custom presentation method for book""" source_getter = SOURCE.get_writable_book_source return make_presenter(source_getter, attribute) def importer(attribute=None): """make a custom input method for sheet""" def custom_importer1(self, content, **keywords): """docstring is assigned a few lines down the line""" sheet_params = {} for field in constants.VALID_SHEET_PARAMETERS: if field in keywords: sheet_params[field] = keywords.pop(field) keyword = SOURCE.get_keyword_for_parameter(attribute) if keyword == "file_type": keywords[keyword] = attribute keywords["file_content"] = content else: keywords[keyword] = content named_content = get_sheet_stream(**keywords) self.init(named_content.payload, named_content.name, **sheet_params) custom_importer1.__doc__ = "Set data in %s format" % attribute return custom_importer1 def book_importer(attribute=None): """make a custom input method for book""" def custom_book_importer(self, content, **keywords): """docstring is assigned a few lines down the line""" keyword = SOURCE.get_keyword_for_parameter(attribute) if keyword == "file_type": keywords[keyword] = attribute keywords["file_content"] = content else: keywords[keyword] = content sheets, filename, path = _get_book(**keywords) self.init(sheets=sheets, filename=filename, path=path) custom_book_importer.__doc__ = "Set data in %s format" % attribute return custom_book_importer def attribute( cls, file_type, instance_name="Sheet", description=constants.OUT_FILE_TYPE_DOC_STRING, **keywords ): """ create custom attributes for each class """ doc_string = description.format(file_type, instance_name) make_a_property(cls, file_type, doc_string, **keywords) REGISTER_PRESENTATION = partial( attribute, getter_func=sheet_presenter, description=constants.OUT_FILE_TYPE_DOC_STRING, ) REGISTER_BOOK_PRESENTATION = partial( attribute, getter_func=book_presenter, instance_name="Book", description=constants.OUT_FILE_TYPE_DOC_STRING, ) REGISTER_INPUT = partial( attribute, setter_func=importer, description=constants.IN_FILE_TYPE_DOC_STRING, ) REGISTER_BOOK_INPUT = partial( attribute, instance_name="Book", setter_func=book_importer, description=constants.IN_FILE_TYPE_DOC_STRING, ) REGISTER_IO = partial( attribute, getter_func=sheet_presenter, setter_func=importer, description=constants.IO_FILE_TYPE_DOC_STRING, ) REGISTER_BOOK_IO = partial( attribute, getter_func=book_presenter, setter_func=book_importer, instance_name="Book", description=constants.IO_FILE_TYPE_DOC_STRING, ) class StreamAttribute(object): """Provide access to get_*_stream methods""" def __init__(self, cls): self.cls = cls def __getattr__(self, name): getter = getattr(self.cls, "save_to_memory") return getter(file_type=name) class PyexcelObject(object): """parent class for pyexcel.Sheet and pyexcel.Book""" @property def stream(self): """Return a stream in which the content is properly encoded Example:: >>> import pyexcel as p >>> b = p.get_book(bookdict={"A": [[1]]}) >>> csv_stream = b.stream.texttable >>> print(csv_stream.getvalue()) A: +---+ | 1 | +---+ Where b.stream.xls.getvalue() is equivalent to b.xls. In some situation b.stream.xls is prefered than b.xls. Sheet examples:: >>> import pyexcel as p >>> s = p.Sheet([[1]], 'A') >>> csv_stream = s.stream.texttable >>> print(csv_stream.getvalue()) A: +---+ | 1 | +---+ Where s.stream.xls.getvalue() is equivalent to s.xls. In some situation s.stream.xls is prefered than s.xls. It is similar to :meth:`~pyexcel.Book.save_to_memory`. """ return StreamAttribute(self) def save_to_memory(self, file_type, **keywords): """Save the content to memory :param file_type: any value of 'csv', 'tsv', 'csvz', 'tsvz', 'xls', 'xlsm', 'xlsm', 'ods' :param stream: the memory stream to be written to. Note in Python 3, for csv and tsv format, please pass an instance of StringIO. For xls, xlsx, and ods, an instance of BytesIO. """ raise NotImplementedError("save to memory is not implemented") def plot(self, file_type="svg", **keywords): """ Visualize the data Parameters: ----------------- file_type:string 'svg' by default. 'png', 'jpeg' possible depending on plugins chart_type:string 'bar' by default. other chart types are subjected to plugins. """ memory_content = self.save_to_memory(file_type, **keywords) if file_type in ["png", "svg", "jpeg"]: # make the signature for jypter notebook def get_content(self): return self.getvalue().decode("utf-8") setattr( memory_content, "_repr_%s_" % file_type, partial(get_content, memory_content), ) return memory_content def _repr_html_(self): return self.html def __repr__(self): if PY2: default_encoding = sys.getdefaultencoding() if default_encoding == "ascii": result = self.texttable return result.encode("utf-8") return self.texttable def __str__(self): return self.__repr__() class SheetMeta(PyexcelObject): """Annotate sheet attributes""" register_io = classmethod(REGISTER_IO) register_presentation = classmethod(REGISTER_PRESENTATION) register_input = classmethod(REGISTER_INPUT) @append_doc(docs.SAVE_AS_OPTIONS) def save_as(self, filename, **keywords): """Save the content to a named file""" return save_sheet(self, file_name=filename, **keywords) def save_to_memory(self, file_type, stream=None, **keywords): stream = save_sheet( self, file_type=file_type, file_stream=stream, **keywords ) return stream def save_to_django_model( self, model, initializer=None, mapdict=None, batch_size=None ): """Save to database table through django model :param model: a database model :param initializer: a initialization functions for your model :param mapdict: custom map dictionary for your data columns :param batch_size: a parameter to Django concerning the size for bulk insertion """ save_sheet( self, model=model, initializer=initializer, mapdict=mapdict, batch_size=batch_size, ) def save_to_database( self, session, table, initializer=None, mapdict=None, auto_commit=True ): """Save data in sheet to database table :param session: database session :param table: a database table :param initializer: a initialization functions for your table :param mapdict: custom map dictionary for your data columns :param auto_commit: by default, data is auto committed. """ save_sheet( self, session=session, table=table, initializer=initializer, mapdict=mapdict, auto_commit=auto_commit, ) class BookMeta(PyexcelObject): """Annotate book attributes""" register_io = classmethod(REGISTER_BOOK_IO) register_presentation = classmethod(REGISTER_BOOK_PRESENTATION) register_input = classmethod(REGISTER_BOOK_INPUT) @append_doc(docs.SAVE_AS_OPTIONS) def save_as(self, filename, **keywords): """ Save the content to a new file """ return save_book(self, file_name=filename, **keywords) def save_to_memory(self, file_type, stream=None, **keywords): """ Save the content to a memory stream :param file_type: what format the stream is in :param stream: a memory stream. Note in Python 3, for csv and tsv format, please pass an instance of StringIO. For xls, xlsx, and ods, an instance of BytesIO. """ stream = save_book( self, file_type=file_type, file_stream=stream, **keywords ) return stream def save_to_django_models( self, models, initializers=None, mapdicts=None, **keywords ): """ Save to database table through django model :param models: a list of database models, that is accepted by :meth:`Sheet.save_to_django_model`. The sequence of tables matters when there is dependencies in between the tables. For example, **Car** is made by **Car Maker**. **Car Maker** table should be specified before **Car** table. :param initializers: a list of intialization functions for your tables and the sequence should match tables, :param mapdicts: custom map dictionary for your data columns and the sequence should match tables optional parameters: :param batch_size: django bulk_create batch size :param bulk_save: whether to use bulk_create or to use single save per record """ save_book( self, models=models, initializers=initializers, mapdicts=mapdicts, **keywords ) def save_to_database( self, session, tables, initializers=None, mapdicts=None, auto_commit=True, ): """ Save data in sheets to database tables :param session: database session :param tables: a list of database tables, that is accepted by :meth:`Sheet.save_to_database`. The sequence of tables matters when there is dependencies in between the tables. For example, **Car** is made by **Car Maker**. **Car Maker** table should be specified before **Car** table. :param initializers: a list of intialization functions for your tables and the sequence should match tables, :param mapdicts: custom map dictionary for your data columns and the sequence should match tables :param auto_commit: by default, data is committed. """ save_book( self, session=session, tables=tables, initializers=initializers, mapdicts=mapdicts, auto_commit=auto_commit, ) def _get_book(**keywords): """Get an instance of :class:`Book` from an excel source Where the dictionary should have text as keys and two dimensional array as values. """ a_source = SOURCE.get_book_source(**keywords) sheets = a_source.get_data() filename, path = a_source.get_source_info() return sheets, filename, path pyexcel-0.7.0/pyexcel/internal/plugins.py000066400000000000000000000016231420202037400205030ustar00rootroot00000000000000""" pyexcel.internal.plugins ~~~~~~~~~~~~~~~~~~~~~~~~~~ Renderer and parser plugin manager :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from lml.plugin import PluginManager class IOPluginManager(PluginManager): """Generic plugin manager for renderer and parser""" def __init__(self, name): PluginManager.__init__(self, name) def get_a_plugin(self, key, library=None): """get a plugin to handle the file type""" __file_type = None if key: __file_type = key.lower() plugin_cls = self.load_me_now(__file_type, library=library) return plugin_cls(__file_type) def get_all_file_types(self): """get all supported file types""" file_types = list(self.registry.keys()) return file_types RENDERER = IOPluginManager("renderer") PARSER = IOPluginManager("parser") pyexcel-0.7.0/pyexcel/internal/sheets/000077500000000000000000000000001420202037400177415ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/internal/sheets/__init__.py000066400000000000000000000004431420202037400220530ustar00rootroot00000000000000""" pyexcel.internal.sheets ~~~~~~~~~~~~~~~~~~~~~~~~ Core functionality of pyexcel, data model :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ # flake8: noqa from .matrix import Row, Column, Matrix, transpose pyexcel-0.7.0/pyexcel/internal/sheets/_shared.py000066400000000000000000000064321420202037400217250ustar00rootroot00000000000000""" pyexcel.internal.sheets._shared ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Locally shared utility functions :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ import re import types from functools import partial from pyexcel._compact import PY2 from .formatters import to_format class CommonPropertyAmongRowNColumn(object): """ Group reusable functions from row and column """ def __init__(self, matrix): self._ref = matrix def __iadd__(self, other): raise NotImplementedError("Not implemented") def __add__(self, other): """Overload + sign :return: self """ self.__iadd__(other) return self._ref @staticmethod def get_converter(theformatter): """return the actual converter or a built-in converter""" converter = None if isinstance(theformatter, types.FunctionType): converter = theformatter else: converter = partial(to_format, theformatter) return converter def analyse_slice(aslice, upper_bound): """An internal function to analyze a given slice""" if aslice.start is None: start = 0 else: start = max(aslice.start, 0) if aslice.stop is None: stop = upper_bound else: stop = min(aslice.stop, upper_bound) if start > stop: raise ValueError elif start < stop: if aslice.step: my_range = range(start, stop, aslice.step) else: my_range = range(start, stop) if not PY2: # for py3, my_range is a range object my_range = list(my_range) else: my_range = [start] return my_range def excel_column_index(index_chars): """translate MS excel column position to index""" if len(index_chars) < 1: return -1 else: return _get_index(index_chars.upper()) def excel_cell_position(pos_chars): """translate MS excel position to index""" if len(pos_chars) < 2: return -1, -1 group = re.match("([A-Za-z]+)([0-9]+)", pos_chars) if group: return int(group.group(2)) - 1, excel_column_index(group.group(1)) else: raise IndexError """ In order to easily compute the actual index of 'X' or 'AX', these utility functions were written """ _INDICES = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" def _get_index(index_chars): length = len(index_chars) index_chars_length = len(_INDICES) if length > 1: index = 0 for i in range(0, length): if i < (length - 1): index += (_INDICES.index(index_chars[i]) + 1) * ( index_chars_length ** (length - 1 - i) ) else: index += _INDICES.index(index_chars[i]) return index else: return _INDICES.index(index_chars[0]) def names_to_indices(names, series): """translate names to indices""" if isinstance(names, str): indices = series.index(names) elif isinstance(names, list) and isinstance(names[0], str): # translate each row name to index indices = [series.index(astr) for astr in names] else: return names return indices def abs(value): if value < 0: return value * -1 else: return value pyexcel-0.7.0/pyexcel/internal/sheets/column.py000066400000000000000000000251561420202037400216210ustar00rootroot00000000000000""" pyexcel.internal.sheets.column ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generic table column :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ import copy import types from pyexcel import _compact as compact from . import _shared as utils class Column(utils.CommonPropertyAmongRowNColumn): """Represent columns of a matrix .. table:: "example.csv" = = = 1 2 3 4 5 6 7 8 9 = = = Let us manipulate the data columns on the above data matrix:: >>> import pyexcel as pe >>> data = [[1,2,3], [4,5,6], [7,8,9]] >>> m = pe.internal.sheets.Matrix(data) >>> m.column[0] [1, 4, 7] >>> m.column[2] = [0, 0, 0] >>> m.column[2] [0, 0, 0] >>> del m.column[1] >>> m.column[1] [0, 0, 0] >>> m.column[2] Traceback (most recent call last): ... IndexError """ def select(self, indices): """ Examples: >>> import pyexcel as pe >>> data = [[1,2,3,4,5,6,7,9]] >>> sheet = pe.Sheet(data) >>> sheet pyexcel sheet: +---+---+---+---+---+---+---+---+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 9 | +---+---+---+---+---+---+---+---+ >>> sheet.column.select([1,2,3,5]) >>> sheet pyexcel sheet: +---+---+---+---+ | 2 | 3 | 4 | 6 | +---+---+---+---+ >>> data = [[1,2,3,4,5,6,7,9]] >>> sheet = pe.Sheet(data) >>> sheet pyexcel sheet: +---+---+---+---+---+---+---+---+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 9 | +---+---+---+---+---+---+---+---+ >>> sheet.column.select([1,2,3,5]) >>> sheet pyexcel sheet: +---+---+---+---+ | 2 | 3 | 4 | 6 | +---+---+---+---+ >>> data = [ ... ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'], ... [1,2,3,4,5,6,7,9], ... ] >>> sheet = pe.Sheet(data, name_columns_by_row=0) >>> sheet pyexcel sheet: +---+---+---+---+---+---+---+---+ | a | b | c | d | e | f | g | h | +===+===+===+===+===+===+===+===+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 9 | +---+---+---+---+---+---+---+---+ >>> del sheet.column['a', 'b', 'i', 'f'] # doctest:+ELLIPSIS Traceback (most recent call last): ... ValueError: ... >>> sheet.column.select(['a', 'c', 'e', 'h']) >>> sheet pyexcel sheet: +---+---+---+---+ | a | c | e | h | +===+===+===+===+ | 1 | 3 | 5 | 9 | +---+---+---+---+ """ new_indices = [] if compact.is_array_type(indices, str): new_indices = utils.names_to_indices(indices, self._ref.colnames) else: new_indices = indices to_remove = [] for index in self._ref.column_range(): if index not in new_indices: to_remove.append(index) self._ref.filter(column_indices=to_remove) def __delitem__(self, aslice): """Override the operator to delete items Examples: >>> import pyexcel as pe >>> data = [[1,2,3,4,5,6,7,9]] >>> sheet = pe.Sheet(data) >>> sheet pyexcel sheet: +---+---+---+---+---+---+---+---+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 9 | +---+---+---+---+---+---+---+---+ >>> del sheet.column[1,2,3,5] >>> sheet pyexcel sheet: +---+---+---+---+ | 1 | 5 | 7 | 9 | +---+---+---+---+ >>> data = [ ... ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'], ... [1,2,3,4,5,6,7,9], ... ] >>> sheet = pe.Sheet(data, name_columns_by_row=0) >>> sheet pyexcel sheet: +---+---+---+---+---+---+---+---+ | a | b | c | d | e | f | g | h | +===+===+===+===+===+===+===+===+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 9 | +---+---+---+---+---+---+---+---+ >>> del sheet.column['a', 'b', 'i', 'f'] # doctest:+ELLIPSIS Traceback (most recent call last): ... ValueError: ... >>> del sheet.column['a', 'c', 'e', 'h'] >>> sheet pyexcel sheet: +---+---+---+---+ | b | d | f | g | +===+===+===+===+ | 2 | 4 | 6 | 7 | +---+---+---+---+ """ is_sheet = compact.is_string(type(aslice)) and hasattr( self._ref, "delete_named_column_at" ) if is_sheet: self._ref.delete_named_column_at(aslice) elif compact.is_tuple_consists_of_strings(aslice): indices = utils.names_to_indices(list(aslice), self._ref.colnames) self._ref.delete_columns(indices) elif isinstance(aslice, slice): my_range = utils.analyse_slice( aslice, self._ref.number_of_columns() ) self._ref.delete_columns(my_range) elif isinstance(aslice, str): index = utils.excel_column_index(aslice) self._ref.delete_columns([index]) elif isinstance(aslice, tuple): indices = list(aslice) self._ref.filter(column_indices=indices) elif isinstance(aslice, list): indices = aslice self._ref.filter(column_indices=indices) elif isinstance(aslice, int): self._ref.delete_columns([aslice]) elif isinstance(aslice, types.LambdaType): self._delete_columns_by_content(aslice) elif isinstance(aslice, types.FunctionType): self._delete_columns_by_content(aslice) else: raise IndexError def _delete_columns_by_content(self, locator): to_remove = [] for index, column in enumerate(self._ref.columns()): if locator(index, column): to_remove.append(index) if len(to_remove) > 0: self._ref.delete_columns(to_remove) def __setitem__(self, aslice, a_column): """Override the operator to set items""" is_sheet = compact.is_string(type(aslice)) and hasattr( self._ref, "set_named_column_at" ) if is_sheet: self._ref.set_named_column_at(aslice, a_column) elif isinstance(aslice, slice): my_range = utils.analyse_slice( aslice, self._ref.number_of_columns() ) for i in my_range: self._ref.set_column_at(i, a_column) elif isinstance(aslice, str): index = utils.excel_column_index(aslice) self._ref.set_column_at(index, a_column) elif isinstance(aslice, int): self._ref.set_column_at(aslice, a_column) else: raise IndexError def __getitem__(self, aslice): """By default, this class recognize from top to bottom from left to right""" index = aslice is_sheet = compact.is_string(type(aslice)) and hasattr( self._ref, "named_column_at" ) if is_sheet: return self._ref.named_column_at(aslice) elif isinstance(aslice, slice): my_range = utils.analyse_slice( aslice, self._ref.number_of_columns() ) results = [] for i in my_range: results.append(self._ref.column_at(i)) return results if isinstance(aslice, str): index = utils.excel_column_index(aslice) if utils.abs(index) in self._ref.column_range(): return self._ref.column_at(index) else: raise IndexError def __iadd__(self, other): """Overload += sign :return: self """ if isinstance(other, compact.OrderedDict): self._ref.extend_columns(copy.deepcopy(other)) elif isinstance(other, list): self._ref.extend_columns(copy.deepcopy(other)) elif hasattr(other, "get_internal_array"): self._ref.extend_columns_with_rows( copy.deepcopy(other.get_internal_array()) ) else: raise TypeError return self def __add__(self, other): """Overload + sign :return: new instance """ new_instance = self._ref.clone() if isinstance(other, compact.OrderedDict): new_instance.extend_columns(copy.deepcopy(other)) elif isinstance(other, list): new_instance.extend_columns(copy.deepcopy(other)) elif hasattr(other, "get_internal_array"): new_instance.extend_columns_with_rows( copy.deepcopy(other.get_internal_array()) ) else: raise TypeError return new_instance def __getattr__(self, attr): """ Refer to sheet.column.name """ the_attr = attr if attr not in self._ref.colnames: the_attr = the_attr.replace("_", " ") if the_attr not in self._ref.colnames: raise AttributeError("%s is not found" % attr) return self._ref.named_column_at(the_attr) def format(self, column_index=None, formatter=None, format_specs=None): """Format a column""" if column_index is not None: self._handle_one_formatter(column_index, formatter) elif format_specs: for spec in format_specs: self._handle_one_formatter(spec[0], spec[1]) def _handle_one_formatter(self, columns, theformatter): new_indices = columns if len(self._ref.colnames) > 0: new_indices = utils.names_to_indices(columns, self._ref.colnames) converter = utils.CommonPropertyAmongRowNColumn.get_converter( theformatter ) if isinstance(new_indices, list): for rcolumn in self._ref.column_range(): if rcolumn in new_indices: for row in self._ref.row_range(): value = self._ref.cell_value(row, rcolumn) value = converter(value) self._ref.cell_value(row, rcolumn, value) else: for row in self._ref.row_range(): value = self._ref.cell_value(row, new_indices) value = converter(value) self._ref.cell_value(row, new_indices, value) pyexcel-0.7.0/pyexcel/internal/sheets/extended_list.py000066400000000000000000000005001420202037400231410ustar00rootroot00000000000000from collections import Counter class PyexcelList(list): def __init__(self, *args): list.__init__(self, *args) def value_counts(self): from pyexcel import get_sheet c = Counter(self) sheet = get_sheet(adict=c) sheet.rownames = ["names", "counts"] return sheet pyexcel-0.7.0/pyexcel/internal/sheets/formatters.py000066400000000000000000000060011420202037400224760ustar00rootroot00000000000000""" pyexcel.formatters ~~~~~~~~~~~~~~~~~~~ These utilities help format the content :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ import json import datetime from decimal import Decimal from pyexcel import constants as constants def string_to_format(value, target_format): """Convert string to specified format""" if target_format == float: try: ret = float(value) except ValueError: ret = value elif target_format == int: try: ret = float(value) ret = int(ret) except ValueError: ret = value else: ret = value return ret def float_to_format(value, target_format): """Convert float to specified format""" if target_format == int: ret = int(value) elif target_format == str: ret = str(value) else: ret = value return ret def int_to_format(value, target_format): """Convert int to specified format""" if target_format == float: ret = float(value) elif target_format == str: ret = str(value) else: ret = value return ret def date_to_format(value, target_format): """Convert date to specified format""" if target_format == str: if isinstance(value, datetime.date): ret = value.strftime("%d/%m/%y") elif isinstance(value, datetime.datetime): ret = value.strftime("%d/%m/%y") elif isinstance(value, datetime.time): ret = value.strftime("%H:%M:%S") else: ret = value return ret def boolean_to_format(value, target_format): """Convert bool to specified format""" if target_format == float: ret = float(value) elif target_format == str: if value == 1: ret = "true" else: ret = "false" else: ret = value return ret def empty_to_format(_, target_format): """Convert empty value to specified format""" if target_format == float: ret = 0.0 elif target_format == int: ret = 0 else: ret = constants.DEFAULT_NA return ret CONVERSION_FUNCTIONS = { str: string_to_format, float: float_to_format, int: int_to_format, datetime.datetime: date_to_format, datetime.time: date_to_format, datetime.date: date_to_format, bool: boolean_to_format, None: empty_to_format, Decimal: float_to_format, } def default_formatter(value, to_type): return json.dumps(value) def to_format(to_type, value): """Wrapper utility function for format different formats :param type from_type: a python type :param type to_type: a python type :param value value: a python value """ if value is not None: if value == "": from_type = None else: from_type = type(value) else: from_type = None func = CONVERSION_FUNCTIONS.get(from_type, default_formatter) return func(value, to_type) pyexcel-0.7.0/pyexcel/internal/sheets/matrix.py000066400000000000000000000721501420202037400216240ustar00rootroot00000000000000""" pyexcel.internal.sheets.matrix ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Matrix, a data model that accepts any types, spread sheet style of lookup. :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ import copy import types from functools import partial from itertools import chain from pyexcel import _compact as compact from pyexcel import constants as constants from pyexcel.internal.meta import SheetMeta from pyexcel.internal.sheets.row import Row from pyexcel.internal.sheets.column import Column from pyexcel.internal.sheets.formatters import to_format from pyexcel.internal.sheets.extended_list import PyexcelList from . import _shared as utils class Matrix(SheetMeta): """The internal representation of a sheet data. Each element can be of any python types """ def __init__(self, array): """Constructor The reason a deep copy was not made here is because the data sheet could be huge. It could be costly to copy every cell to a new memory area :param list array: a list of arrays """ if isinstance(array, types.GeneratorType): self.__width, self.__array = uniform(list(array)) else: try: self.__width, self.__array = uniform(array) except TypeError: raise TypeError("Invalid two dimensional array") self.row = Row(self) self.column = Column(self) self.name = "matrix" def get_internal_array(self): """present internal array""" return self.__array def number_of_rows(self): """The number of rows""" return len(self.__array) def number_of_columns(self): """The number of columns""" if self.number_of_rows() > 0: return self.__width else: return 0 def row_range(self): """ Utility function to get row range """ return compact.irange(self.number_of_rows()) def column_range(self): """ Utility function to get column range """ return compact.irange(self.number_of_columns()) def cell_value(self, row, column, new_value=None): """Random access to table cells :param int row: row index which starts from 0 :param int column: column index which starts from 0 :param any new_value: new value if this is to set the value """ fit = row < self.number_of_rows() and column < self.number_of_columns() if new_value is None: if fit: return self.__array[row][column] else: raise IndexError("Index out of range") else: if not fit: width, array = uniform(self.__array, row + 1, column + 1) self.__width, self.__array = width, array self.__array[row][column] = new_value def row_at(self, index): """ Gets the data at the specified row """ if index in self.row_range(): return PyexcelList(copy.deepcopy(self.__array[index])) elif index < 0 and utils.abs(index) in self.row_range(): return PyexcelList( copy.deepcopy(self.__array[index + self.number_of_rows()]) ) else: raise IndexError(constants.MESSAGE_INDEX_OUT_OF_RANGE) def set_row_at(self, row_index, data_array): """Update a row data range""" nrows = self.number_of_rows() if row_index < nrows: self.__array[row_index] = data_array if len(data_array) != self.number_of_columns(): self.__width, self.__array = uniform(self.__array) else: raise IndexError(constants.MESSAGE_INDEX_OUT_OF_RANGE) def _set_row_at(self, row_index, data_array, starting=0): """Update a row data range It works like this if the call is: set_row_at(2, ['N', 'N', 'N'], 1):: A B C 1 3 5 2 N N <- row_index = 2 ^starting = 1 This function will not set element outside the current table range :param int row_index: which row to be modified :param list data_array: one dimensional array :param int starting: from which index, the update happens :raises IndexError: if row_index exceeds row range or starting exceeds column range """ nrows = self.number_of_rows() ncolumns = self.number_of_columns() if row_index < nrows and starting < ncolumns: real_len = len(data_array) + starting end = min(real_len, ncolumns) for i in range(starting, end): self.cell_value(row_index, i, data_array[i - starting]) if real_len > ncolumns: left = ncolumns - starting self.__array[row_index] = ( self.__array[row_index] + data_array[left:] ) self.__width, self.__array = uniform(self.__array) else: raise IndexError(constants.MESSAGE_INDEX_OUT_OF_RANGE) def _extend_row(self, row): array = copy.deepcopy(row) if compact.is_array_type(array, list): self.__array += array else: self.__array.append(array) def extend_rows(self, rows): """Inserts two dimensional data after the bottom row""" if isinstance(rows, list): self._extend_row(rows) self.__width, self.__array = uniform(self.__array) else: raise TypeError("Cannot use %s" % type(rows)) def delete_rows(self, row_indices): """Deletes specified row indices""" if isinstance(row_indices, list) is False: raise IndexError if len(row_indices) > 0: unique_list = _unique(row_indices) sorted_list = sorted(unique_list, reverse=True) for i in sorted_list: if i < self.number_of_rows() and i >= 0: del self.__array[i] def column_at(self, index): """ Gets the data at the specified column """ cell_array = PyexcelList() if index in self.column_range(): for i in self.row_range(): cell_array.append(self.cell_value(i, index)) return cell_array elif index < 0 and utils.abs(index) in self.column_range(): reverse_index = self.number_of_columns() + index for i in self.row_range(): cell_array.append(self.cell_value(i, reverse_index)) return cell_array else: raise IndexError(constants.MESSAGE_INDEX_OUT_OF_RANGE) def set_column_at(self, column_index, data_array, starting=0): """Updates a column data range It works like this if the call is: set_column_at(2, ['N','N', 'N'], 1):: +--> column_index = 2 | A B C 1 3 N <- starting = 1 2 4 N This function will not set element outside the current table range :param int column_index: which column to be modified :param list data_array: one dimensional array :param int staring: from which index, the update happens :raises IndexError: if column_index exceeds column range or starting exceeds row range """ nrows = self.number_of_rows() ncolumns = self.number_of_columns() if column_index < ncolumns and starting < nrows: real_len = len(data_array) + starting end = min(real_len, nrows) for i in range(starting, end): self.cell_value(i, column_index, data_array[i - starting]) if real_len > nrows: for i in range(nrows, real_len): new_row = [""] * column_index + [data_array[i - starting]] self.__array.append(new_row) self.__width, self.__array = uniform(self.__array) else: raise IndexError(constants.MESSAGE_INDEX_OUT_OF_RANGE) def extend_columns(self, columns): """Inserts two dimensional data after the rightmost column This is how it works: Given:: s s s t t Get:: s s s + t t """ if not isinstance(columns, list): raise TypeError(constants.MESSAGE_DATA_ERROR_DATA_TYPE_MISMATCH) incoming_data = columns if not compact.is_array_type(columns, list): incoming_data = [columns] incoming_data = transpose(incoming_data) self._extend_columns_with_rows(incoming_data) def _extend_columns_with_rows(self, rows): current_nrows = self.number_of_rows() current_ncols = self.number_of_columns() insert_column_nrows = len(rows) array_length = min(current_nrows, insert_column_nrows) for i in range(0, array_length): array = copy.deepcopy(rows[i]) self.__array[i] += array if current_nrows < insert_column_nrows: delta = insert_column_nrows - current_nrows base = current_nrows for i in range(0, delta): new_array = [constants.DEFAULT_NA] * current_ncols new_array += rows[base + i] self.__array.append(new_array) self.__width, self.__array = uniform(self.__array) def extend_columns_with_rows(self, rows): """Rows were appended to the rightmost side example:: >>> import pyexcel as pe >>> data = [ ... [1], ... [2], ... [3] ... ] >>> matrix = pe.Sheet(data) >>> matrix pyexcel sheet: +---+ | 1 | +---+ | 2 | +---+ | 3 | +---+ >>> rows = [ ... [11, 11], ... [22, 22] ... ] >>> matrix.extend_columns_with_rows(rows) >>> matrix pyexcel sheet: +---+----+----+ | 1 | 11 | 11 | +---+----+----+ | 2 | 22 | 22 | +---+----+----+ | 3 | | | +---+----+----+ """ self._extend_columns_with_rows(rows) def region(self, topleft_corner, bottomright_corner): """Get a rectangle shaped data out :param slice topleft_corner: the top left corner of the rectangle :param slice bottomright_corner: the bottom right corner of the rectangle """ region = [] max_row = min(bottomright_corner[0], self.number_of_rows()) max_col = min(bottomright_corner[1], self.number_of_columns()) for row in range(topleft_corner[0], max_row): tmp_row = [] for column in range(topleft_corner[1], max_col): tmp_row.append(self.cell_value(row, column)) region.append(tmp_row) return region def cut(self, topleft_corner, bottomright_corner): """Get a rectangle shaped data out and clear them in position :param slice topleft_corner: the top left corner of the rectangle :param slice bottomright_corner: the bottom right corner of the rectangle """ region = self.region(topleft_corner, bottomright_corner) for row in range(topleft_corner[0], bottomright_corner[0]): for column in range(topleft_corner[1], bottomright_corner[1]): self.cell_value(row, column, constants.DEFAULT_NA) return region def paste(self, topleft_corner, rows=None, columns=None): """Paste a rectangle shaped data after a position :param slice topleft_corner: the top left corner of the rectangle example:: >>> import pyexcel as pe >>> data = [ ... # 0 1 2 3 4 5 6 ... [1, 2, 3, 4, 5, 6, 7], # 0 ... [21, 22, 23, 24, 25, 26, 27], ... [31, 32, 33, 34, 35, 36, 37], ... [41, 42, 43, 44, 45, 46, 47], ... [51, 52, 53, 54, 55, 56, 57] # 4 ... ] >>> s = pe.Sheet(data) >>> # cut 1<= row < 4, 1<= column < 5 >>> data = s.cut([1, 1], [4, 5]) >>> s.paste([4,6], rows=data) >>> s pyexcel sheet: +----+----+----+----+----+----+----+----+----+----+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | | | | +----+----+----+----+----+----+----+----+----+----+ | 21 | | | | | 26 | 27 | | | | +----+----+----+----+----+----+----+----+----+----+ | 31 | | | | | 36 | 37 | | | | +----+----+----+----+----+----+----+----+----+----+ | 41 | | | | | 46 | 47 | | | | +----+----+----+----+----+----+----+----+----+----+ | 51 | 52 | 53 | 54 | 55 | 56 | 22 | 23 | 24 | 25 | +----+----+----+----+----+----+----+----+----+----+ | | | | | | | 32 | 33 | 34 | 35 | +----+----+----+----+----+----+----+----+----+----+ | | | | | | | 42 | 43 | 44 | 45 | +----+----+----+----+----+----+----+----+----+----+ >>> s.paste([6,9], columns=data) >>> s pyexcel sheet: +----+----+----+----+----+----+----+----+----+----+----+----+ | 1 | 2 | 3 | 4 | 5 | 6 | 7 | | | | | | +----+----+----+----+----+----+----+----+----+----+----+----+ | 21 | | | | | 26 | 27 | | | | | | +----+----+----+----+----+----+----+----+----+----+----+----+ | 31 | | | | | 36 | 37 | | | | | | +----+----+----+----+----+----+----+----+----+----+----+----+ | 41 | | | | | 46 | 47 | | | | | | +----+----+----+----+----+----+----+----+----+----+----+----+ | 51 | 52 | 53 | 54 | 55 | 56 | 22 | 23 | 24 | 25 | | | +----+----+----+----+----+----+----+----+----+----+----+----+ | | | | | | | 32 | 33 | 34 | 35 | | | +----+----+----+----+----+----+----+----+----+----+----+----+ | | | | | | | 42 | 43 | 44 | 22 | 32 | 42 | +----+----+----+----+----+----+----+----+----+----+----+----+ | | | | | | | | | | 23 | 33 | 43 | +----+----+----+----+----+----+----+----+----+----+----+----+ | | | | | | | | | | 24 | 34 | 44 | +----+----+----+----+----+----+----+----+----+----+----+----+ | | | | | | | | | | 25 | 35 | 45 | +----+----+----+----+----+----+----+----+----+----+----+----+ """ if rows: self._paste_rows(topleft_corner, rows) elif columns: self._paste_columns(topleft_corner, columns) else: raise ValueError(constants.MESSAGE_DATA_ERROR_EMPTY_CONTENT) def _paste_rows(self, topleft_corner, rows): starting_row, starting_column = topleft_corner number_of_rows = self.number_of_rows() number_of_columns = self.number_of_columns() delta = starting_row - number_of_rows if delta > 0: max_columns = max(starting_column, number_of_columns) empty_row = [ [constants.DEFAULT_NA for _ in compact.irange(max_columns)] for __ in compact.irange(delta) ] self._extend_row(empty_row) number_of_rows = self.number_of_rows() for index, row in enumerate(rows): set_index = starting_row + index if set_index < number_of_rows: self._set_row_at(set_index, row, starting=topleft_corner[1]) else: real_row = [constants.DEFAULT_NA] * topleft_corner[1] + row self._extend_row(real_row) self.__width, self.__array = uniform(self.__array) def _paste_columns(self, topleft_corner, columns): starting_column = topleft_corner[1] number_of_columns = self.number_of_columns() for index, column in enumerate(columns): set_index = starting_column + index if set_index < number_of_columns: self.set_column_at( set_index, column, starting=topleft_corner[0] ) else: real_column = [constants.DEFAULT_NA] * topleft_corner[0] real_column += column self.extend_columns([real_column]) self.__width, self.__array = uniform(self.__array) def delete_columns(self, column_indices): """Delete columns by specified list of indices""" if isinstance(column_indices, list) is False: raise TypeError(constants.MESSAGE_DATA_ERROR_DATA_TYPE_MISMATCH) if len(column_indices) > 0: unique_list = _unique(column_indices) sorted_list = sorted(unique_list, reverse=True) for i in self.row_range(): for j in sorted_list: if j < self.number_of_columns() and j >= 0: del self.__array[i][j] self.__width = longest_row_number(self.__array) def __setitem__(self, aset, cell_value): """Override the operator to set items""" if isinstance(aset, tuple): return self.cell_value(aset[0], aset[1], cell_value) elif isinstance(aset, str): row, column = utils.excel_cell_position(aset) return self.cell_value(row, column, cell_value) else: raise IndexError def __getitem__(self, aset): """By default, this class recognize from top to bottom from left to right""" if isinstance(aset, tuple): return self.cell_value(aset[0], aset[1]) elif isinstance(aset, str): row, column = utils.excel_cell_position(aset) return self.cell_value(row, column) elif isinstance(aset, int): print(constants.MESSAGE_DEPRECATED_ROW_COLUMN) return self.row_at(aset) else: raise IndexError def contains(self, predicate): """Has something in the table""" for row in self.rows(): if predicate(row): return True return False def transpose(self): """Rotate the data table by 90 degrees Reference :func:`transpose` """ self.__array = transpose(self.__array) self.__width, self.__array = uniform(self.__array) def to_array(self): """Get an array out""" return self.__array def __iter__(self): """ Default iterator to go through each cell one by one from top row to bottom row and from left to right """ return self.rows() def enumerate(self): """ Iterate cell by cell from top to bottom and from left to right .. testcode:: >>> import pyexcel as pe >>> data = [ ... [1, 2, 3, 4], ... [5, 6, 7, 8], ... [9, 10, 11, 12] ... ] >>> m = pe.internal.sheets.Matrix(data) >>> print(list(m.enumerate())) [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] More details see :class:`HTLBRIterator` """ return chain(*self.__array) def reverse(self): """Opposite to enumerate each cell one by one from bottom row to top row and from right to left example:: >>> import pyexcel as pe >>> data = [ ... [1, 2, 3, 4], ... [5, 6, 7, 8], ... [9, 10, 11, 12] ... ] >>> m = pe.internal.sheets.Matrix(data) >>> print(list(m.reverse())) [12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1] More details see :class:`HBRTLIterator` """ for row in reversed(self.__array): for cell in reversed(row): yield cell def vertical(self): """ Default iterator to go through each cell one by one from leftmost column to rightmost row and from top to bottom example:: import pyexcel as pe data = [ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12] ] m = pe.internal.sheets.Matrix(data) print(list(m.vertical())) output:: [1, 5, 9, 2, 6, 10, 3, 7, 11, 4, 8, 12] More details see :class:`VTLBRIterator` """ return chain(*compact.czip(*self.__array)) def rvertical(self): """ Default iterator to go through each cell one by one from rightmost column to leftmost row and from bottom to top example:: import pyexcel as pe data = [ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12] ] m = pe.internal.sheets.Matrix(data) print(pe.utils.to_array(m.rvertical()) output:: [12, 8, 4, 11, 7, 3, 10, 6, 2, 9, 5, 1] More details see :class:`VBRTLIterator` """ for column in compact.czip(*(reversed(row) for row in self.__array)): for cell in reversed(column): yield cell def rows(self): """ Returns a top to bottom row iterator example:: import pyexcel as pe data = [ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12] ] m = pe.internal.sheets.Matrix(data) print(pe.utils.to_array(m.rows())) output:: [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]] More details see :class:`RowIterator` """ for row in self.__array: yield row def rrows(self): """ Returns a bottom to top row iterator .. testcode:: import pyexcel as pe data = [ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12] ] m = pe.internal.sheets.Matrix(data) print(pe.utils.to_array(m.rrows())) .. testoutput:: [[9, 10, 11, 12], [5, 6, 7, 8], [1, 2, 3, 4]] More details see :class:`RowReverseIterator` """ for row in reversed(self.__array): yield row def columns(self): """ Returns a left to right column iterator .. testcode:: import pyexcel as pe data = [ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12] ] m = pe.internal.sheets.Matrix(data) print(list(m.columns())) .. testoutput:: [[1, 5, 9], [2, 6, 10], [3, 7, 11], [4, 8, 12]] More details see :class:`ColumnIterator` """ for row in compact.czip(*self.__array): yield list(row) def rcolumns(self): """ Returns a right to left column iterator example:: import pyexcel as pe data = [ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12] ] m = pe.internal.sheets.Matrix(data) print(pe.utils.to_array(m.rcolumns())) output:: [[4, 8, 12], [3, 7, 11], [2, 6, 10], [1, 5, 9]] More details see :class:`ColumnReverseIterator` """ for column in compact.czip(*(reversed(row) for row in self.__array)): yield list(column) def filter(self, column_indices=None, row_indices=None): """Apply the filter with immediate effect""" if row_indices is not None: self.delete_rows(row_indices) if column_indices is not None: self.delete_columns(column_indices) def format(self, formatter): """Apply a formatting action for the whole sheet Example:: >>> import pyexcel as pe >>> # Given a dictinoary as the following >>> data = { ... "1": [1, 2, 3, 4, 5, 6, 7, 8], ... "3": [1.25, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], ... "5": [2, 3, 4, 5, 6, 7, 8, 9], ... "7": [1, '',] ... } >>> sheet = pe.get_sheet(adict=data) >>> sheet.row[1] [1, 1.25, 2, 1] >>> sheet.format(str) >>> sheet.row[1] ['1', '1.25', '2', '1'] >>> sheet.format(int) >>> sheet.row[1] [1, 1, 2, 1] """ custom_function = partial(to_format, formatter) self.map(custom_function) def map(self, custom_function): """Execute a function across all cells of the sheet Example:: >>> import pyexcel as pe >>> # Given a dictinoary as the following >>> data = { ... "1": [1, 2, 3, 4, 5, 6, 7, 8], ... "3": [1.25, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], ... "5": [2, 3, 4, 5, 6, 7, 8, 9], ... "7": [1, '',] ... } >>> sheet = pe.get_sheet(adict=data) >>> sheet.row[1] [1, 1.25, 2, 1] >>> inc = lambda value: (float(value) if value != '' else 0)+1 >>> sheet.map(inc) >>> sheet.row[1] [2.0, 2.25, 3.0, 2.0] """ for row in self.row_range(): for column in self.column_range(): value = self.cell_value(row, column) value = custom_function(value) self.cell_value(row, column, value) def __iadd__(self, other): return _add(self.name, self.__array, other) def __add__(self, other): """Overload the + sign :returns: a new book """ return _add(self.name, copy.deepcopy(self.__array), other) def clone(self): return Matrix(copy.deepcopy(self.__array)) def _unique(seq): """Return a unique list of the incoming list Reference: http://stackoverflow.com/questions/480214/ how-do-you-remove-duplicates-from-a-list-in-python-whilst-preserving-order """ seen = set() seen_add = seen.add return [x for x in seq if not (x in seen or seen_add(x))] def longest_row_number(array): """Find the length of the longest row in the array :param list in_array: a list of arrays """ if len(array) > 0: # map runs len() against each member of the array return max(map(len, array)) else: return 0 def uniform(array, min_rows=0, min_columns=0): """Fill-in empty strings to empty cells to make it MxN :param list in_array: a list of arrays :param int row_no: desired minimum row count :param int column_no: desired minimum column length """ width = max(min_columns, longest_row_number(array)) array_length = len(array) height = max(array_length, min_rows) if width == 0: return 0, array else: for row in array: row_length = len(row) for index in range(0, row_length): if row[index] is None: row[index] = constants.DEFAULT_NA if row_length < width: row += [constants.DEFAULT_NA] * (width - row_length) for _ in range(array_length, height): row = [constants.DEFAULT_NA] * width array.append(row) return width, array def transpose(in_array): """Rotate clockwise by 90 degrees and flip horizontally First column become first row. :param list in_array: a list of arrays The transformation is:: 1 2 3 1 4 4 5 6 7 -> 2 5 3 6 '' 7 """ max_length = longest_row_number(in_array) new_array = [] for i in range(0, max_length): row_data = [] for row in in_array: if i < len(row): row_data.append(row[i]) else: row_data.append(constants.DEFAULT_NA) new_array.append(row_data) return new_array def _add(name, left, right): from pyexcel.book import Book, local_uuid content = {} content[name] = left if isinstance(right, Book): right_in_dict = copy.deepcopy(right.to_dict()) for key in right_in_dict.keys(): new_key = key if len(right_in_dict.keys()) == 1: new_key = right.filename if new_key in content: uid = local_uuid() new_key = "%s_%s" % (key, uid) content[new_key] = right_in_dict[key] elif isinstance(right, Matrix): new_key = right.name if new_key in content: uid = local_uuid() new_key = "%s_%s" % (right.name, uid) content[new_key] = copy.deepcopy(right.get_internal_array()) else: raise TypeError new_book = Book() new_book.load_from_sheets(content) return new_book pyexcel-0.7.0/pyexcel/internal/sheets/row.py000066400000000000000000000174521420202037400211330ustar00rootroot00000000000000""" pyexcel.internal.sheets.row ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generic table row :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ import copy import types from pyexcel import _compact as compact from . import _shared as utils class Row(utils.CommonPropertyAmongRowNColumn): """Represent row of a matrix .. table:: "example.csv" = = = 1 2 3 4 5 6 7 8 9 = = = Above column manipulation can be performed on rows similarly. This section will not repeat the same example but show some advance usages. >>> import pyexcel as pe >>> data = [[1,2,3], [4,5,6], [7,8,9]] >>> m = pe.internal.sheets.Matrix(data) >>> m.row[0:2] [[1, 2, 3], [4, 5, 6]] >>> m.row[0:3] = [0, 0, 0] >>> m.row[2] [0, 0, 0] >>> del m.row[0:2] >>> m.row[0] [0, 0, 0] """ def select(self, indices): """Delete row indices other than specified Examples: >>> import pyexcel as pe >>> data = [[1],[2],[3],[4],[5],[6],[7],[9]] >>> sheet = pe.Sheet(data) >>> sheet pyexcel sheet: +---+ | 1 | +---+ | 2 | +---+ | 3 | +---+ | 4 | +---+ | 5 | +---+ | 6 | +---+ | 7 | +---+ | 9 | +---+ >>> sheet.row.select([1,2,3,5]) >>> sheet pyexcel sheet: +---+ | 2 | +---+ | 3 | +---+ | 4 | +---+ | 6 | +---+ """ new_indices = [] if compact.is_array_type(indices, str): new_indices = utils.names_to_indices(indices, self._ref.rownames) else: new_indices = indices to_remove = [] for index in self._ref.row_range(): if index not in new_indices: to_remove.append(index) self._ref.filter(row_indices=to_remove) def __delitem__(self, locator): """Override the operator to delete items Examples: >>> import pyexcel as pe >>> data = [[1],[2],[3],[4],[5],[6],[7],[9]] >>> sheet = pe.Sheet(data) >>> sheet pyexcel sheet: +---+ | 1 | +---+ | 2 | +---+ | 3 | +---+ | 4 | +---+ | 5 | +---+ | 6 | +---+ | 7 | +---+ | 9 | +---+ >>> del sheet.row[1,2,3,5] >>> sheet pyexcel sheet: +---+ | 1 | +---+ | 5 | +---+ | 7 | +---+ | 9 | +---+ """ if compact.is_string(type(locator)): self._ref.delete_named_row_at(locator) elif compact.is_tuple_consists_of_strings(locator): indices = utils.names_to_indices(list(locator), self._ref.rownames) self._ref.delete_rows(indices) elif isinstance(locator, slice): my_range = utils.analyse_slice(locator, self._ref.number_of_rows()) self._ref.delete_rows(my_range) elif isinstance(locator, tuple): self._ref.filter(row_indices=(list(locator))) elif isinstance(locator, list): self._ref.filter(row_indices=locator) elif isinstance(locator, types.LambdaType): self._delete_rows_by_content(locator) elif isinstance(locator, types.FunctionType): self._delete_rows_by_content(locator) else: self._ref.delete_rows([locator]) def __getattr__(self, attr): """ Refer to sheet.row.name """ the_attr = attr if attr not in self._ref.rownames: the_attr = the_attr.replace("_", " ") if the_attr not in self._ref.rownames: raise AttributeError("%s is not found" % attr) return self._ref.named_row_at(the_attr) def _delete_rows_by_content(self, locator): to_remove = [] for index, row in enumerate(self._ref.rows()): if locator(index, row): to_remove.append(index) if len(to_remove) > 0: self._ref.delete_rows(to_remove) def __setitem__(self, aslice, a_row): """Override the operator to set items""" if compact.is_string(type(aslice)): self._ref.set_named_row_at(aslice, a_row) elif isinstance(aslice, slice): my_range = utils.analyse_slice(aslice, self._ref.number_of_rows()) for i in my_range: self._ref.set_row_at(i, a_row) else: self._ref.set_row_at(aslice, a_row) def __getitem__(self, aslice): """By default, this class recognize from top to bottom from left to right""" index = aslice if compact.is_string(type(aslice)): return self._ref.named_row_at(aslice) elif isinstance(aslice, slice): my_range = utils.analyse_slice(aslice, self._ref.number_of_rows()) results = [] for i in my_range: results.append(self._ref.row_at(i)) return results if abs(index) in self._ref.row_range(): return self._ref.row_at(index) else: raise IndexError def __iadd__(self, other): """Overload += sign :return: self """ if isinstance(other, compact.OrderedDict): self._ref.extend_rows(copy.deepcopy(other)) elif isinstance(other, list): self._ref.extend_rows(copy.deepcopy(other)) elif hasattr(other, "get_internal_array"): self._ref.extend_rows(copy.deepcopy(other.get_internal_array())) else: raise TypeError return self def __add__(self, other): """Overload + sign :return: new instance """ new_instance = self._ref.clone() if isinstance(other, compact.OrderedDict): new_instance.extend_rows(copy.deepcopy(other)) elif isinstance(other, list): new_instance.extend_rows(copy.deepcopy(other)) elif hasattr(other, "get_internal_array"): new_instance.extend_rows(copy.deepcopy(other.get_internal_array())) else: raise TypeError return new_instance def format(self, row_index=None, formatter=None, format_specs=None): """Format a row""" if row_index is not None: self._handle_one_formatter(row_index, formatter) elif format_specs: for spec in format_specs: self._handle_one_formatter(spec[0], spec[1]) def _handle_one_formatter(self, rows, theformatter): new_indices = rows if len(self._ref.rownames) > 0: new_indices = utils.names_to_indices(rows, self._ref.rownames) converter = utils.CommonPropertyAmongRowNColumn.get_converter( theformatter ) if isinstance(new_indices, list): for rindex in self._ref.row_range(): if rindex in new_indices: for column in self._ref.column_range(): value = self._ref.cell_value(rindex, column) value = converter(value) self._ref.cell_value(rindex, column, value) else: for column in self._ref.column_range(): value = self._ref.cell_value(new_indices, column) value = converter(value) self._ref.cell_value(new_indices, column, value) pyexcel-0.7.0/pyexcel/internal/source_plugin.py000066400000000000000000000126361420202037400217060ustar00rootroot00000000000000""" pyexcel.internal.source_plugin ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Second level abstraction :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import constants as constants from pyexcel import exceptions as exceptions from lml.plugin import PluginManager from pyexcel.internal.attributes import ( register_book_attribute, register_sheet_attribute, ) from pyexcel_io import constants as io_constants REGISTRY_KEY_FORMAT = "%s-%s" # ignore the following attributes NO_DOT_NOTATION = (io_constants.DB_DJANGO, io_constants.DB_SQL) class SourcePluginManager(PluginManager): """Data source plugin loader""" def __init__(self): PluginManager.__init__(self, "source") self.keywords = {} def load_me_later(self, plugin_info): PluginManager.load_me_later(self, plugin_info) self._register_a_plugin_info(plugin_info) def load_me_now(self, key, action=None, library=None, **keywords): """get source module into memory for use""" self._logger.debug("load me now:" + key) plugin = None for source in self.registry[key]: if source.is_my_business(action, **keywords): plugin = self.dynamic_load_library(source) module_name = _get_me_pypi_package_name(plugin.__module__) if library and module_name != library: continue else: break else: # nothing is found, no break _error_handler(action, **keywords) return plugin def register_a_plugin(self, plugin_cls, plugin_info): """ for dynamically loaded plugin """ PluginManager.register_a_plugin(self, plugin_cls, plugin_info) self._register_a_plugin_info(plugin_info) def get_a_plugin( self, target=None, action=None, source_library=None, **keywords ): """obtain a source plugin for signature functions""" key = REGISTRY_KEY_FORMAT % (target, action) io_library = None # backward support pyexcel-io library parameter if "library" in keywords: io_library = keywords.pop("library") source_cls = self.load_me_now( key, action=action, library=source_library, **keywords ) if io_library is not None: keywords["library"] = io_library source_instance = source_cls(**keywords) return source_instance def get_source(self, **keywords): """obtain a sheet read source plugin for signature functions""" return self.get_a_plugin( target=constants.SHEET, action=constants.READ_ACTION, **keywords ) def get_book_source(self, **keywords): """obtain a book read source plugin for signature functions""" return self.get_a_plugin( target=constants.BOOK, action=constants.READ_ACTION, **keywords ) def get_writable_source(self, **keywords): """obtain a sheet write source plugin for signature functions""" return self.get_a_plugin( target=constants.SHEET, action=constants.WRITE_ACTION, **keywords ) def get_writable_book_source(self, **keywords): """obtain a book write source plugin for signature functions""" return self.get_a_plugin( target=constants.BOOK, action=constants.WRITE_ACTION, **keywords ) def get_keyword_for_parameter(self, key): """custom keyword for an attribute""" return self.keywords.get(key, None) def _register_a_plugin_info(self, plugin_info): debug_registry = "Source registry: " debug_attribute = "Instance attribute: " anything = False for key in plugin_info.tags(): target, action = key.split("-") attributes = plugin_info.attributes if not isinstance(attributes, list): attributes = attributes() for attr in attributes: if attr in NO_DOT_NOTATION: continue if target == "book": register_book_attribute(target, action, attr) elif target == "sheet": register_sheet_attribute(target, action, attr) else: raise Exception("Known target: %s" % target) debug_attribute += "%s " % attr self.keywords[attr] = plugin_info.key anything = True debug_attribute += ", " if anything: self._logger.debug(debug_attribute) self._logger.debug(debug_registry) def _error_handler(action, **keywords): if keywords: file_type = keywords.get("file_type", None) if file_type: raise exceptions.FileTypeNotSupported( constants.FILE_TYPE_NOT_SUPPORTED_FMT % (file_type, action) ) else: if "on_demand" in keywords: keywords.pop("on_demand") msg = "Please check if there were typos in " msg += "function parameters: %s. Otherwise " msg += "unrecognized parameters were given." raise exceptions.UnknownParameters(msg % keywords) else: raise exceptions.UnknownParameters("No parameters found!") def _get_me_pypi_package_name(module_name): root_module_name = module_name.split(".")[0] return root_module_name.replace("_", "-") SOURCE = SourcePluginManager() pyexcel-0.7.0/pyexcel/internal/utils.py000066400000000000000000000032011420202037400201540ustar00rootroot00000000000000def default_getter(attribute=None): """a default method for missing renderer method for example, the support to write data in a specific file type is missing but the support to read data exists """ def none_presenter(_, **__): """docstring is assigned a few lines down the line""" raise NotImplementedError("%s getter is not defined." % attribute) none_presenter.__doc__ = "%s getter is not defined." % attribute return none_presenter def default_setter(attribute=None): """a default method for missing parser method for example, the support to read data in a specific file type is missing but the support to write data exists """ def none_importer(_x, _y, **_z): """docstring is assigned a few lines down the line""" raise NotImplementedError("%s setter is not defined." % attribute) none_importer.__doc__ = "%s setter is not defined." % attribute return none_importer def make_a_property( cls, attribute, doc_string, getter_func=default_getter, setter_func=default_setter, ): """ create custom attributes for each class """ getter = getter_func(attribute) setter = setter_func(attribute) attribute_property = property( # note: # without fget, fset, pypy 5.4.0 crashes randomly. fget=getter, fset=setter, doc=doc_string, ) if "." in attribute: attribute = attribute.replace(".", "_") else: attribute = attribute setattr(cls, attribute, attribute_property) setattr(cls, "get_%s" % attribute, getter) setattr(cls, "set_%s" % attribute, setter) pyexcel-0.7.0/pyexcel/parser.py000066400000000000000000000032051420202037400165000ustar00rootroot00000000000000""" pyexcel.parser ~~~~~~~~~~~~~~~~~~~ Extract tabular data from external file, stream or content :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.internal import garbagecollector as gc class AbstractParser(object): """ Parsing data from tabular data such as excel file """ def __init__(self, file_type): self._file_type = file_type def parse_file(self, file_name, **keywords): """ Parse data from a physical file """ raise NotImplementedError("parse_file is not implemented") def parse_file_stream(self, file_stream, **keywords): """ Parse data from a file stream """ raise NotImplementedError("parse_file_stream is not implemented") def parse_file_content(self, file_content, **keywords): """ Parse data from a given file content """ raise NotImplementedError("parse_file_content is not implemented") def _free_me_up_later(self, reader): gc.append(reader) class DbParser(AbstractParser): """ Change interface for db parser """ def parse_file(self, file_name, **keywords): raise Exception("parse_file is not supported") def parse_file_stream(self, file_stream, **keywords): return self.parse_db(file_stream, **keywords) def parse_file_content(self, file_content, **keywords): raise Exception("parse_file_content is not supported") def parse_db(self, argument, **keywords): """ Parse data from database """ raise NotImplementedError("parse_db is not implemented") pyexcel-0.7.0/pyexcel/plugins/000077500000000000000000000000001420202037400163135ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/plugins/__init__.py000066400000000000000000000142021420202037400204230ustar00rootroot00000000000000""" pyexcel.plugins ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Public interface for plugins :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ import types from itertools import product from pyexcel import constants as constants from lml.plugin import PluginInfo, PluginInfoChain from pyexcel._compact import is_string from pyexcel.exceptions import FileTypeNotSupported from pyexcel.internal.plugins import PARSER, RENDERER class SourceInfo(PluginInfo): """Plugin description for a source""" def __init__(self, absolute_import_path, **keywords): PluginInfo.__init__(self, "source", absolute_import_path, **keywords) def tags(self): target_action_list = product(self.targets, self.actions) for target, action in target_action_list: yield "%s-%s" % (target, action) def is_my_business(self, action, **keywords): """ Check if incoming keywords match the parameters in source plugins """ statuses = [_has_field(field, keywords) for field in self.fields] results = [status for status in statuses if status is False] return len(results) == 0 class FileSourceInfo(SourceInfo): """Plugin description for a file source""" def is_my_business(self, action, **keywords): status = SourceInfo.is_my_business(self, action, **keywords) if status: file_name = keywords.get("file_name", None) if file_name: file_type = keywords.get("force_file_type") if file_type is None: if is_string(type(file_name)): file_type = find_file_type_from_file_name( file_name, action ) else: raise IOError("Unsupported file type") else: file_type = keywords.get("file_type") status = self.can_i_handle(action, file_type) return status def can_i_handle(self, action, file_type): raise NotImplementedError("") class InputSourceInfo(FileSourceInfo): """Plugin description for an input source""" def can_i_handle(self, action, file_type): __file_type = None if file_type: __file_type = file_type.lower() if action == constants.READ_ACTION: status = __file_type in PARSER.get_all_file_types() else: status = False return status class OutputSourceInfo(FileSourceInfo): """Plugin description for a output file source""" def can_i_handle(self, action, file_type): if action == constants.WRITE_ACTION: status = file_type.lower() in tuple(RENDERER.get_all_file_types()) else: status = False return status def _has_field(field, keywords): return field in keywords and keywords[field] is not None def find_file_type_from_file_name(file_name, action): """ Extract file type from file name """ if action == "read": list_of_file_types = PARSER.get_all_file_types() else: list_of_file_types = RENDERER.get_all_file_types() file_types = [] lowercase_file_name = file_name.lower() for a_supported_type in list_of_file_types: if lowercase_file_name.endswith(a_supported_type): file_types.append(a_supported_type) if len(file_types) > 1: file_types = sorted(file_types, key=len) file_type = file_types[-1] elif len(file_types) == 1: file_type = file_types[0] else: file_type = lowercase_file_name.split(".")[-1] raise FileTypeNotSupported( constants.FILE_TYPE_NOT_SUPPORTED_FMT % (file_type, action) ) return file_type class IOPluginInfo(PluginInfo): """Plugin description for a parser or a renderer""" def tags(self): file_types = self.file_types if isinstance(file_types, types.FunctionType): file_types = file_types() for file_type in file_types: yield file_type class PyexcelPluginChain(PluginInfoChain): """It is used by pyexcel plugins""" def add_a_source(self, relative_plugin_class_path=None, **keywords): """ Add a data source plugin for signature functions """ default = {"key": None, "attributes": []} default.update(keywords) self.add_a_plugin_instance( SourceInfo( self._get_abs_path(relative_plugin_class_path), **default ) ) return self def add_an_input_source(self, relative_plugin_class_path=None, **keywords): """ append file input source """ default = {"key": None, "attributes": []} default.update(keywords) self.add_a_plugin_instance( InputSourceInfo( self._get_abs_path(relative_plugin_class_path), **default ) ) return self def add_a_output_source(self, relative_plugin_class_path=None, **keywords): """ append file output source """ default = {"key": None, "attributes": []} default.update(keywords) self.add_a_plugin_instance( OutputSourceInfo( self._get_abs_path(relative_plugin_class_path), **default ) ) return self def add_a_parser(self, relative_plugin_class_path=None, file_types=None): """ append an excel file reader """ self.add_a_plugin_instance( IOPluginInfo( "parser", self._get_abs_path(relative_plugin_class_path), file_types=file_types, ) ) return self def add_a_renderer( self, relative_plugin_class_path=None, file_types=None, stream_type=None, ): """ append an excel file writer """ default = dict(file_types=file_types, stream_type=stream_type) self.add_a_plugin_instance( IOPluginInfo( "renderer", self._get_abs_path(relative_plugin_class_path), **default ) ) return self pyexcel-0.7.0/pyexcel/plugins/parsers/000077500000000000000000000000001420202037400177725ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/plugins/parsers/__init__.py000066400000000000000000000012271420202037400221050ustar00rootroot00000000000000""" pyexcel.plugins.parsers ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A list of built-in parsers :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.plugins import PyexcelPluginChain from pyexcel_io.plugins import READERS from pyexcel_io.constants import DB_SQL, DB_DJANGO PyexcelPluginChain(__name__).add_a_parser( relative_plugin_class_path="excel.ExcelParser", file_types=READERS.get_all_formats(), ).add_a_parser( relative_plugin_class_path="sqlalchemy.SQLAlchemyExporter", file_types=[DB_SQL], ).add_a_parser( relative_plugin_class_path="django.DjangoExporter", file_types=[DB_DJANGO] ) pyexcel-0.7.0/pyexcel/plugins/parsers/django.py000066400000000000000000000021351420202037400216070ustar00rootroot00000000000000""" pyexcel.plugin.parsers.django ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Export data into database datables :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.parser import DbParser from pyexcel_io import get_data, iget_data from pyexcel_io.database import common as django class DjangoExporter(DbParser): """Export data from django model""" def parse_db( self, argument, export_columns_list=None, on_demand=True, **keywords ): models = argument exporter = django.DjangoModelExporter() if export_columns_list is None: export_columns_list = [None] * len(models) for model, export_columns in zip(models, export_columns_list): adapter = django.DjangoModelExportAdapter(model, export_columns) exporter.append(adapter) if on_demand: sheets, _ = iget_data( exporter, file_type=self._file_type, **keywords ) else: sheets = get_data(exporter, file_type=self._file_type, **keywords) return sheets pyexcel-0.7.0/pyexcel/plugins/parsers/excel.py000066400000000000000000000022261420202037400214460ustar00rootroot00000000000000""" pyexcel.plugins.parsers.excel ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Parsing excel sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.parser import AbstractParser from pyexcel_io import get_data, iget_data class ExcelParser(AbstractParser): """get data from excel files""" def parse_file(self, file_name, **keywords): return self._parse_any(file_name, **keywords) def parse_file_stream(self, file_stream, **keywords): return self._parse_any( file_stream, file_type=self._file_type, **keywords ) def parse_file_content(self, file_content, **keywords): return self._parse_any( file_content, file_type=self._file_type, **keywords ) def _parse_any( self, anything, on_demand=False, file_type=None, **keywords ): if on_demand: sheets, reader = iget_data( anything, file_type=file_type, **keywords ) self._free_me_up_later(reader) else: sheets = get_data(anything, file_type=file_type, **keywords) return sheets pyexcel-0.7.0/pyexcel/plugins/parsers/sqlalchemy.py000066400000000000000000000021441420202037400225070ustar00rootroot00000000000000""" pyexcel.plugin.parsers.sqlalchemy ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Export data into database datables :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.parser import DbParser from pyexcel_io import get_data, iget_data from pyexcel_io.database import common as sql class SQLAlchemyExporter(DbParser): """export data via sqlalchmey""" def parse_db( self, argument, export_columns_list=None, on_demand=False, **keywords ): session, tables = argument exporter = sql.SQLTableExporter(session) if export_columns_list is None: export_columns_list = [None] * len(tables) for table, export_columns in zip(tables, export_columns_list): adapter = sql.SQLTableExportAdapter(table, export_columns) exporter.append(adapter) if on_demand: sheets, _ = iget_data( exporter, file_type=self._file_type, **keywords ) else: sheets = get_data(exporter, file_type=self._file_type, **keywords) return sheets pyexcel-0.7.0/pyexcel/plugins/renderers/000077500000000000000000000000001420202037400203045ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/plugins/renderers/__init__.py000066400000000000000000000014221420202037400224140ustar00rootroot00000000000000""" pyexcel.plugins.renderers ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A list of built-in renderers :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.plugins import PyexcelPluginChain from pyexcel_io.plugins import WRITERS from pyexcel_io.constants import DB_SQL, DB_DJANGO PyexcelPluginChain(__name__).add_a_renderer( relative_plugin_class_path="sqlalchemy.SQLAlchemyRenderer", file_types=[DB_SQL], ).add_a_renderer( relative_plugin_class_path="django.DjangoRenderer", file_types=[DB_DJANGO] ).add_a_renderer( relative_plugin_class_path="excel.ExcelRenderer", file_types=WRITERS.get_all_formats(), ).add_a_renderer( relative_plugin_class_path="_texttable.TextTableRenderer", file_types=["texttable"], ) pyexcel-0.7.0/pyexcel/plugins/renderers/_texttable.py000066400000000000000000000031131420202037400230070ustar00rootroot00000000000000""" pyexcel.plugin.renderers._texttable ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Export data into texttable format. It also serves the default presentation of pyexcel sheet and book. :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from types import GeneratorType from pyexcel import constants as constants from texttable import Texttable from pyexcel.renderer import Renderer from pyexcel.internal.sheets.formatters import to_format class TextTableRenderer(Renderer): """Default texttable presetation""" def render_sheet(self, sheet): content = render_text_table(sheet, self._write_title) self._stream.write(content) def render_text_table(sheet, write_title): """return data in text table presentation""" content = "" if write_title: content += "%s:\n" % sheet.name table = Texttable(max_width=0) data = sheet.to_array() if isinstance(data, GeneratorType): data = list(data) if len(data) == 0: return content table.set_cols_dtype(["t"] * len(data[0])) if len(sheet.colnames) > 0: table.set_chars(["-", "|", "+", "="]) table.header(list(_cleanse_a_row(data[0]))) else: table.add_row(list(_cleanse_a_row(data[0]))) for sub_array in data[1:]: new_array = _cleanse_a_row(sub_array) table.add_row(list(new_array)) content += table.draw() return content def _cleanse_a_row(row): for item in row: if item == constants.DEFAULT_NA: yield " " else: yield to_format(str, item) pyexcel-0.7.0/pyexcel/plugins/renderers/django.py000066400000000000000000000046301420202037400221230ustar00rootroot00000000000000""" pyexcel.plugin.renderers.django ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Export data into django models :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel._compact import OrderedDict from pyexcel.internal import common as common from pyexcel.renderer import DbRenderer from pyexcel_io import save_data from pyexcel_io.database import common as django NO_COLUMN_NAMES = "Only sheet with column names is accepted" class DjangoRenderer(DbRenderer): """Import data into database""" def render_sheet_to_stream( self, model, sheet, init=None, mapdict=None, **keywords ): headers = common.get_sheet_headers(sheet) importer = django.DjangoModelImporter() adapter = django.DjangoModelImportAdapter(model) adapter.column_names = headers adapter.column_name_mapping_dict = mapdict adapter.row_initializer = init importer.append(adapter) save_data( importer, {adapter.get_name(): sheet.get_internal_array()}, file_type=self._file_type, **keywords ) def render_book_to_stream( self, models, book, inits=None, mapdicts=None, batch_size=None, **keywords ): colnames_array = common.get_book_headers_in_array(book) new_models = [model for model in models if model is not None] initializers = inits if initializers is None: initializers = [None] * len(new_models) if mapdicts is None: mapdicts = [None] * len(new_models) scattered = zip(new_models, colnames_array, mapdicts, initializers) importer = django.DjangoModelImporter() for each_model in scattered: adapter = django.DjangoModelImportAdapter(each_model[0]) adapter.column_names = each_model[1] adapter.column_name_mapping_dict = each_model[2] adapter.row_initializer = each_model[3] importer.append(adapter) to_store = OrderedDict() for sheet in book: # due book.to_dict() brings in column_names # which corrupts the data to_store[sheet.name] = sheet.get_internal_array() save_data( importer, to_store, file_type=self._file_type, batch_size=batch_size, **keywords ) pyexcel-0.7.0/pyexcel/plugins/renderers/excel.py000066400000000000000000000023711420202037400217610ustar00rootroot00000000000000""" pyexcel.plugin.renderers.excel ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Export data into excel files :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.renderer import AbstractRenderer from pyexcel.constants import DEFAULT_SHEET_NAME from pyexcel_io import manager as manager from pyexcel_io import save_data class ExcelRenderer(AbstractRenderer): """Output data into excel format""" def get_io(self): return manager.get_io(self._file_type) def render_sheet_to_file(self, file_name, sheet, **keywords): sheet_name = DEFAULT_SHEET_NAME if sheet.name: sheet_name = sheet.name data = {sheet_name: sheet.to_array()} save_data(file_name, data, **keywords) def render_book_to_file(self, file_name, book, **keywords): save_data(file_name, book.to_dict(), **keywords) def render_sheet_to_stream(self, file_stream, sheet, **keywords): self.render_sheet_to_file( file_stream, sheet, file_type=self._file_type, **keywords ) def render_book_to_stream(self, file_stream, book, **keywords): self.render_book_to_file( file_stream, book, file_type=self._file_type, **keywords ) pyexcel-0.7.0/pyexcel/plugins/renderers/sqlalchemy.py000066400000000000000000000043041420202037400230210ustar00rootroot00000000000000""" pyexcel.plugin.renderers.sqlalchemy ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Export data into database datables :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel._compact import OrderedDict from pyexcel.internal import common as common from pyexcel.renderer import DbRenderer from pyexcel_io import save_data from pyexcel_io.database import common as sql class SQLAlchemyRenderer(DbRenderer): """Import data into database""" def render_sheet_to_stream( self, file_stream, sheet, init=None, mapdict=None, **keywords ): headers = common.get_sheet_headers(sheet) importer = sql.SQLTableImporter(file_stream[0]) adapter = sql.SQLTableImportAdapter(file_stream[1]) adapter.column_names = headers adapter.row_initializer = init adapter.column_name_mapping_dict = mapdict importer.append(adapter) save_data( importer, {adapter.get_name(): sheet.get_internal_array()}, file_type=self._file_type, **keywords ) def render_book_to_stream( self, file_stream, book, inits=None, mapdicts=None, **keywords ): session, tables = file_stream thebook = book initializers = inits colnames_array = common.get_book_headers_in_array(book) if initializers is None: initializers = [None] * len(tables) if mapdicts is None: mapdicts = [None] * len(tables) scattered = zip(tables, colnames_array, mapdicts, initializers) importer = sql.SQLTableImporter(session) for each_table in scattered: adapter = sql.SQLTableImportAdapter(each_table[0]) adapter.column_names = each_table[1] adapter.column_name_mapping_dict = each_table[2] adapter.row_initializer = each_table[3] importer.append(adapter) to_store = OrderedDict() for sheet in thebook: # due book.to_dict() brings in column_names # which corrupts the data to_store[sheet.name] = sheet.get_internal_array() save_data(importer, to_store, file_type=self._file_type, **keywords) pyexcel-0.7.0/pyexcel/plugins/sources/000077500000000000000000000000001420202037400177765ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/plugins/sources/__init__.py000066400000000000000000000067201420202037400221140ustar00rootroot00000000000000""" pyexcel.plugins.sources ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A list of built-in sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.plugins import PyexcelPluginChain from pyexcel.internal import PARSER, RENDERER PyexcelPluginChain(__name__).add_a_source( relative_plugin_class_path="http.HttpSource", fields=["url"], targets=["sheet", "book"], actions=["read"], attributes=["url"], key="url", ).add_a_source( relative_plugin_class_path="sheet_stream_source.SheetStreamSource", fields=["sheet_stream"], targets=["sheet"], attributes=[], actions=["read"], ).add_an_input_source( relative_plugin_class_path="file_input.ReadExcelFromFile", fields=["file_name"], targets=["sheet", "book"], attributes=[], actions=["read"], ).add_an_input_source( relative_plugin_class_path="memory_input.ReadExcelFileMemory", fields=["file_type"], targets=["sheet", "book"], actions=["read"], key="file_type", attributes=PARSER.get_all_file_types, ).add_a_output_source( relative_plugin_class_path="file_output.WriteSheetToFile", fields=["file_name"], targets=["sheet"], attributes=[], actions=["write"], ).add_a_output_source( relative_plugin_class_path="file_output.WriteBookToFile", fields=["file_name"], targets=["book"], attributes=[], actions=["write"], ).add_a_output_source( relative_plugin_class_path="output_to_memory.WriteSheetToMemory", fields=["file_type"], targets=["sheet"], actions=["write"], key="file_type", attributes=RENDERER.get_all_file_types, ).add_a_output_source( relative_plugin_class_path="output_to_memory.WriteBookToMemory", fields=["file_type"], targets=["book"], actions=["write"], key="file_type", attributes=RENDERER.get_all_file_types, ).add_a_source( relative_plugin_class_path="pydata.bookdict.BookDictSource", fields=["bookdict"], targets=["sheet", "book"], actions=["write", "read"], key="bookdict", attributes=["bookdict"], ).add_a_source( relative_plugin_class_path="pydata.dictsource.DictSource", fields=["adict"], targets=["sheet", "book"], actions=["write", "read"], key="adict", attributes=["dict"], ).add_a_source( relative_plugin_class_path="pydata.arraysource.ArraySource", fields=["array"], targets=["sheet", "book"], actions=["write", "read"], key="array", attributes=["array"], ).add_a_source( relative_plugin_class_path="pydata.records.RecordsSource", fields=["records"], targets=["sheet", "book"], actions=["write", "read"], key="records", attributes=["records"], ).add_a_source( relative_plugin_class_path="django.SheetDjangoSource", fields=["model"], targets=["sheet"], actions=["write", "read"], ).add_a_source( relative_plugin_class_path="django.BookDjangoSource", fields=["models"], targets=["book"], actions=["write", "read"], ).add_a_source( relative_plugin_class_path="sqlalchemy.SheetSQLAlchemySource", fields=["session", "table"], targets=["sheet"], actions=["write", "read"], ).add_a_source( relative_plugin_class_path="sqlalchemy.BookSQLSource", fields=["session", "tables"], targets=["book"], actions=["write", "read"], ).add_a_source( relative_plugin_class_path="querysets.SheetQuerySetSource", fields=["column_names", "query_sets"], targets=["sheet"], actions=["read"], ) pyexcel-0.7.0/pyexcel/plugins/sources/db_sources.py000066400000000000000000000100661420202037400225030ustar00rootroot00000000000000""" pyexcel.plugins.sources.db_sources ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generic database sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource from pyexcel._compact import PY2 from pyexcel.internal import PARSER, RENDERER from . import params NO_COLUMN_NAMES = "Only sheet with column names is accepted" class SheetDbSource(AbstractSource): """ SQLAlchemy channeled sql database as data source """ def __init__( self, db_type, export_columns=None, sheet_name=None, parser_library=None, renderer_library=None, **keywords ): self._db_type = db_type self.__export_columns = export_columns self.__sheet_name = sheet_name self.__parser_library = parser_library self.__renderer_library = renderer_library AbstractSource.__init__(self, **keywords) def get_data(self): aparser = PARSER.get_a_plugin(self._db_type, self.__parser_library) export_params = self.get_export_params() data = aparser.parse_file_stream( export_params, export_columns_list=[self.__export_columns], **self._keywords ) if self.__sheet_name is not None: _set_dictionary_key(data, self.__sheet_name) return data def get_export_params(self): """form the parameters for the db renderer""" pass def write_data(self, sheet): arender = RENDERER.get_a_plugin(self._db_type, self.__renderer_library) init_func, map_dict = _transcode_sheet_db_keywords(self._keywords) import_params = self.get_import_params() arender.render_sheet_to_stream( import_params, sheet, init=init_func, mapdict=map_dict, **self._keywords ) def get_import_params(self): """form the parameters for the db parser""" pass class BookDbSource(AbstractSource): """ multiple Django table as data source """ def __init__( self, db_type, parser_library=None, renderer_library=None, **keywords ): self.__db_type = db_type self.__parser_library = parser_library self.__renderer_library = renderer_library AbstractSource.__init__(self, **keywords) def get_data(self): aparser = PARSER.get_a_plugin(self.__db_type, self.__parser_library) export_params = self.get_params() data = aparser.parse_file_stream(export_params, **self._keywords) return data def get_params(self): """form the paraneters for the db parser and renderer""" pass def get_source_info(self): return self.__db_type, None def write_data(self, book): arender = RENDERER.get_a_plugin( self.__db_type, self.__renderer_library ) init_funcs, map_dicts = _transcode_book_db_keywords(self._keywords) import_params = self.get_params() arender.render_book_to_stream( import_params, book, inits=init_funcs, mapdicts=map_dicts, **self._keywords ) def _set_dictionary_key(adict, sheet_name): if PY2: (old_sheet_name, array) = adict.items()[0] else: (old_sheet_name, array) = list(adict.items())[0] adict[sheet_name] = array adict.pop(old_sheet_name) def _transcode_sheet_db_keywords(keywords): if params.INITIALIZER in keywords: init_func = keywords.pop(params.INITIALIZER) else: init_func = None if params.MAPDICT in keywords: map_dict = keywords.pop(params.MAPDICT) else: map_dict = None return init_func, map_dict def _transcode_book_db_keywords(keywords): if params.INITIALIZERS in keywords: init_funcs = keywords.pop(params.INITIALIZERS) else: init_funcs = None if params.MAPDICTS in keywords: map_dicts = keywords.pop(params.MAPDICTS) else: map_dicts = None return init_funcs, map_dicts pyexcel-0.7.0/pyexcel/plugins/sources/django.py000066400000000000000000000021331420202037400216110ustar00rootroot00000000000000""" pyexcel.plugins.sources.django ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of django sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel_io.constants import DB_DJANGO from .db_sources import BookDbSource, SheetDbSource class SheetDjangoSource(SheetDbSource): """ Django model as data source """ def __init__( self, model=None, export_columns=None, sheet_name=None, **keywords ): self.__model = model SheetDbSource.__init__( self, DB_DJANGO, export_columns=export_columns, sheet_name=sheet_name, **keywords ) def get_export_params(self): return [self.__model] def get_import_params(self): return self.__model class BookDjangoSource(BookDbSource): """ multiple Django table as data source """ def __init__(self, models, **keywords): self.__models = models BookDbSource.__init__(self, DB_DJANGO, **keywords) def get_params(self): return self.__models pyexcel-0.7.0/pyexcel/plugins/sources/file_input.py000066400000000000000000000022301420202037400225030ustar00rootroot00000000000000""" pyexcel.plugins.sources.file_input ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of input file sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ import os from pyexcel.source import AbstractSource from pyexcel.internal import PARSER # pylint: disable=W0223 class ReadExcelFromFile(AbstractSource): """Pick up 'file_name' field and do single sheet based read and write""" def __init__(self, file_name=None, parser_library=None, **keywords): self.__file_name = file_name if "force_file_type" in keywords: file_type = keywords.get("force_file_type") else: file_type = self.__file_name.split(".")[-1] self.__parser = PARSER.get_a_plugin(file_type, parser_library) AbstractSource.__init__(self, **keywords) def get_source_info(self): path, file_name = os.path.split(self.__file_name) return file_name, path def get_data(self): """ Return a dictionary with only one key and one value """ sheets = self.__parser.parse_file(self.__file_name, **self._keywords) return sheets pyexcel-0.7.0/pyexcel/plugins/sources/file_output.py000066400000000000000000000025031420202037400227070ustar00rootroot00000000000000""" pyexcel.plugins.sources.file_output ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of output file sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource from pyexcel.plugins import find_file_type_from_file_name from pyexcel.internal import RENDERER # pylint: disable=W0223 class WriteSheetToFile(AbstractSource): """Pick up 'file_name' field and do single sheet based read and write""" def __init__(self, file_name=None, renderer_library=None, **keywords): AbstractSource.__init__(self, **keywords) self._file_name = file_name if "force_file_type" in keywords: file_type = keywords.get("force_file_type") else: file_type = find_file_type_from_file_name(file_name, "write") self._renderer = RENDERER.get_a_plugin(file_type, renderer_library) def write_data(self, sheet): self._renderer.render_sheet_to_file( self._file_name, sheet, **self._keywords ) # pylint: disable=W0223 class WriteBookToFile(WriteSheetToFile): """Pick up 'file_name' field and do multiple sheet based read and write""" def write_data(self, book): self._renderer.render_book_to_file( self._file_name, book, **self._keywords ) pyexcel-0.7.0/pyexcel/plugins/sources/http.py000066400000000000000000000036411420202037400213330ustar00rootroot00000000000000""" pyexcel.plugins.sources.http ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of http sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import constants as constants from pyexcel.source import AbstractSource from pyexcel._compact import PY2, request from pyexcel.internal import PARSER from . import params XLSX = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" FILE_TYPE_MIME_TABLE = { "text/csv": "csv", "text/tab-separated-values": "tsv", "application/vnd.oasis.opendocument.spreadsheet": "ods", "application/vnd.ms-excel": "xls", XLSX: "xlsx", "application/vnd.ms-excel.sheet.macroenabled.12": "xlsm", "text/html": "html", } # pylint: disable=W0223 class HttpSource(AbstractSource): """ Multiple sheet data source via http protocol """ fields = [params.URL] targets = (constants.SHEET, constants.BOOK) actions = (constants.READ_ACTION,) attributes = [params.URL] key = params.URL def __init__(self, url=None, **keywords): self.__url = url AbstractSource.__init__(self, **keywords) def get_data(self): connection = request.urlopen(self.__url) info = connection.info() if PY2: mime_type = info.type else: mime_type = info.get_content_type() file_type = FILE_TYPE_MIME_TABLE.get(mime_type, None) if file_type is None: file_type = _get_file_type_from_url(self.__url) parser_library = self._keywords.get("parser_library", None) aparser = PARSER.get_a_plugin(file_type, parser_library) content = connection.read() sheets = aparser.parse_file_content(content, **self._keywords) return sheets def get_source_info(self): return self.__url, None def _get_file_type_from_url(url): extension = url.split(".") return extension[-1] pyexcel-0.7.0/pyexcel/plugins/sources/memory_input.py000066400000000000000000000023621420202037400231020ustar00rootroot00000000000000""" pyexcel.plugins.sources.memory_input ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of input file sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource from pyexcel.internal import PARSER from . import params # pylint: disable=W0223 class ReadExcelFileMemory(AbstractSource): """Pick up 'file_type' and read a sheet from memory""" def __init__( self, file_content=None, file_type=None, file_stream=None, parser_library=None, **keywords ): self.__file_type = file_type self.__file_stream = file_stream self.__file_content = file_content self.__parser = PARSER.get_a_plugin(file_type, parser_library) AbstractSource.__init__(self, **keywords) def get_data(self): if self.__file_stream is not None: sheets = self.__parser.parse_file_stream( self.__file_stream, **self._keywords ) else: sheets = self.__parser.parse_file_content( self.__file_content, **self._keywords ) return sheets def get_source_info(self): return params.MEMORY, None pyexcel-0.7.0/pyexcel/plugins/sources/output_to_memory.py000066400000000000000000000024661420202037400240120ustar00rootroot00000000000000""" pyexcel.plugins.sources.output_to_memory ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of output file sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource, MemorySourceMixin from pyexcel.internal import RENDERER # pylint: disable=W0223 class WriteSheetToMemory(AbstractSource, MemorySourceMixin): """ Single sheet to memory """ def __init__( self, file_type=None, file_stream=None, renderer_library=None, **keywords ): AbstractSource.__init__(self, **keywords) self._renderer = RENDERER.get_a_plugin(file_type, renderer_library) if file_stream: self._content = file_stream else: self._content = self._renderer.get_io() self.attributes = RENDERER.get_all_file_types() def write_data(self, sheet): self._renderer.render_sheet_to_stream( self._content, sheet, **self._keywords ) # pylint: disable=W0223 class WriteBookToMemory(WriteSheetToMemory): """ Multiple sheet data source for writting back to memory """ def write_data(self, book): self._renderer.render_book_to_stream( self._content, book, **self._keywords ) pyexcel-0.7.0/pyexcel/plugins/sources/params.py000066400000000000000000000013761420202037400216420ustar00rootroot00000000000000""" pyexcel.plugins.sources.params ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Local magic workds :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ # keywords MEMORY = "memory" FILE_TYPE = "file_type" FILE_NAME = "file_name" FILE_STREAM = "file_stream" SESSION = "session" TABLE = "table" MODEL = "model" TABLES = "tables" MODELS = "models" FILE_CONTENT = "file_content" ADICT = "adict" RECORDS = "records" ARRAY = "array" COLUMN_NAMES = "column_names" QUERY_SETS = "query_sets" DEPRECATED_OUT_FILE = "out_file" BOOKDICT = "bookdict" MAPDICT = "mapdict" MAPDICTS = "mapdicts" INITIALIZER = "initializer" INITIALIZERS = "initializers" BATCH_SIZE = "batch_size" URL = "url" SHEET_STREAM = "sheet_stream" INPUT = "input" pyexcel-0.7.0/pyexcel/plugins/sources/pydata/000077500000000000000000000000001420202037400212605ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/plugins/sources/pydata/__init__.py000066400000000000000000000000001420202037400233570ustar00rootroot00000000000000pyexcel-0.7.0/pyexcel/plugins/sources/pydata/arraysource.py000066400000000000000000000020471420202037400241740ustar00rootroot00000000000000""" pyexcel.plugins.sources.pydata.arraysource ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of array source :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource, MemorySourceMixin from pyexcel.constants import DEFAULT_SHEET_NAME from pyexcel.plugins.sources import params from .common import ArrayReader, _FakeIO class ArraySource(AbstractSource, MemorySourceMixin): """ A two dimensional array as sheet source """ def __init__(self, array, sheet_name=DEFAULT_SHEET_NAME, **keywords): self.__array = array self._content = _FakeIO() self.__sheet_name = sheet_name AbstractSource.__init__(self, **keywords) def get_data(self): array_reader = ArrayReader(self.__array, **self._keywords) return {self.__sheet_name: array_reader.to_array()} def get_source_info(self): return params.ARRAY, None def write_data(self, sheet): self._content.setvalue(sheet.to_array()) pyexcel-0.7.0/pyexcel/plugins/sources/pydata/bookdict.py000066400000000000000000000024471420202037400234370ustar00rootroot00000000000000""" pyexcel.plugins.sources.pydata.bookdictsource ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of book dict source :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource, MemorySourceMixin from pyexcel._compact import PY2, OrderedDict from pyexcel.plugins.sources import params from .common import _FakeIO class BookDictSource(AbstractSource, MemorySourceMixin): """ Multiple sheet data source via a dictionary of two dimensional arrays """ def __init__(self, bookdict, **keywords): self.__bookdict = bookdict self._content = _FakeIO() AbstractSource.__init__(self, **keywords) def get_data(self): the_dict = self.__bookdict if not isinstance(self.__bookdict, OrderedDict): the_dict = _convert_dict_to_ordered_dict(self.__bookdict) return the_dict def get_source_info(self): return params.BOOKDICT, None def write_data(self, book): self._content.setvalue(book.to_dict()) def _convert_dict_to_ordered_dict(the_dict): keys = the_dict.keys() if not PY2: keys = list(keys) keys = sorted(keys) ret = OrderedDict() for key in keys: ret[key] = the_dict[key] return ret pyexcel-0.7.0/pyexcel/plugins/sources/pydata/common.py000066400000000000000000000054051420202037400231260ustar00rootroot00000000000000""" pyexcel.plugins.sources.pydata ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of array, dict, records and book dict sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import constants as constants from pyexcel._compact import PY2, OrderedDict, zip_longest from pyexcel_io.sheet import SheetReader class _FakeIO(object): """emulates a stream object""" def __init__(self): self.__value = None def setvalue(self, value): """duck method setvalue""" self.__value = value def getvalue(self): """duck method getvalue""" return self.__value # pylint: disable=W0223 class ArrayReader(SheetReader): """read data from an array via pyexcel-io interface""" def row_iterator(self): for row in self._native_sheet: yield row def column_iterator(self, row): for cell in row: yield cell # pylint: disable=W0223 class RecordsReader(ArrayReader): """read data from a records via pyexcel-io interface By default, all records are assumed to have the keys and the keys of the first dictionary of the records will be taken as a reference. When the keys of the first dictionary is the full list, The records reader will fill-in the missing key with default n/a, which is ''. Otherwise, please supply a complete list of keys as a parameter to get_records method, or save_as """ def row_iterator(self): headers = self._keywords.get("custom_headers") for index, row in enumerate(self._native_sheet): if index == 0: if headers is None: if isinstance(row, OrderedDict): headers = list(row.keys()) else: headers = sorted(row.keys()) yield headers values = [] for k in headers: values.append(row.get(k, constants.DEFAULT_NA)) yield values # pylint: disable=W0223 class DictReader(ArrayReader): """read data from a dictionary via pyexcel-io interface""" def row_iterator(self): keys = self._native_sheet.keys() if not PY2: keys = list(keys) if not isinstance(self._native_sheet, OrderedDict): keys = sorted(keys) if self._keywords.get("with_keys", True): yield keys if isinstance(self._native_sheet[keys[0]], list): sorted_values = (self._native_sheet[key] for key in keys) for row in zip_longest( *sorted_values, fillvalue=constants.DEFAULT_NA ): yield row else: row = [self._native_sheet[key] for key in keys] yield row pyexcel-0.7.0/pyexcel/plugins/sources/pydata/dictsource.py000066400000000000000000000022411420202037400237750ustar00rootroot00000000000000""" pyexcel.plugins.sources.pydata.dictsource ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of dict sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource, MemorySourceMixin from pyexcel.constants import DEFAULT_SHEET_NAME from pyexcel.plugins.sources import params from .common import DictReader, _FakeIO class DictSource(AbstractSource, MemorySourceMixin): """ A dictionary of one dimensional array as sheet source """ def __init__( self, adict, with_keys=True, sheet_name=DEFAULT_SHEET_NAME, **keywords ): self.__adict = adict self.__with_keys = with_keys self._content = _FakeIO() self.__sheet_name = sheet_name AbstractSource.__init__(self, **keywords) def get_data(self): dict_reader = DictReader( self.__adict, with_keys=self.__with_keys, **self._keywords ) return {self.__sheet_name: dict_reader.to_array()} def get_source_info(self): return params.ADICT, None def write_data(self, sheet): self._content.setvalue(sheet.to_dict()) pyexcel-0.7.0/pyexcel/plugins/sources/pydata/records.py000066400000000000000000000022551420202037400232770ustar00rootroot00000000000000""" pyexcel.plugins.sources.pydata.recordssource ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of records source :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource, MemorySourceMixin from pyexcel.constants import DEFAULT_SHEET_NAME from pyexcel.plugins.sources import params from .common import RecordsReader, _FakeIO class RecordsSource(AbstractSource, MemorySourceMixin): """ A list of dictionaries as data source The dictionaries should have identical fields. """ def __init__(self, records, sheet_name=DEFAULT_SHEET_NAME, **keywords): self.__records = records self._content = _FakeIO() self.__sheet_name = sheet_name AbstractSource.__init__(self, **keywords) def get_data(self): records_reader = RecordsReader(self.__records, **self._keywords) return {self.__sheet_name: records_reader.to_array()} def get_source_info(self): return params.RECORDS, None def write_data(self, sheet): self._content.setvalue(sheet.to_records()) def get_content(self): return self._content pyexcel-0.7.0/pyexcel/plugins/sources/querysets.py000066400000000000000000000042121420202037400224130ustar00rootroot00000000000000""" pyexcel.plugins.sources.querysets ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of querysets :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import constants as constants from pyexcel.source import AbstractSource from pyexcel_io import get_data from pyexcel_io.constants import DB_QUERYSET from . import params # pylint: disable=W0223 class SheetQuerySetSource(AbstractSource): """ Database query set as data source SQLAlchemy and Django query sets are supported """ fields = [params.COLUMN_NAMES, params.QUERY_SETS] targets = (constants.SHEET,) actions = (constants.READ_ACTION,) attributes = [] def __init__( self, column_names, query_sets, sheet_name=None, row_renderer=None, start_row=0, row_limit=-1, start_column=None, column_limit=None, skip_row_func=None, skip_column_func=None, **keywords ): self.__sheet_name = sheet_name if self.__sheet_name is None: self.__sheet_name = constants.DEFAULT_SHEET_NAME self.__column_names = column_names self.__query_sets = query_sets self.__row_renderer = row_renderer self.__start_row = start_row self.__row_limit = row_limit self.__skip_row_func = skip_row_func if start_column is None: print("start_column is ignored") if column_limit is None: print("column_limit is ignored") if skip_column_func is None: print("skip_column_func is ignored") AbstractSource.__init__(self, **keywords) def get_data(self): local_params = dict( row_renderer=self.__row_renderer, start_row=self.__start_row, row_limit=self.__row_limit, ) if self.__skip_row_func is not None: local_params["skip_row_func"] = self.__skip_row_func data = get_data( self.__query_sets, file_type=DB_QUERYSET, column_names=self.__column_names, **local_params ) return data pyexcel-0.7.0/pyexcel/plugins/sources/sheet_stream_source.py000066400000000000000000000013711420202037400244150ustar00rootroot00000000000000""" pyexcel.plugins.sources.sheet_stream_source ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of array source :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel.source import AbstractSource, MemorySourceMixin from pyexcel.plugins.sources import params class SheetStreamSource(AbstractSource, MemorySourceMixin): """ Internal Sheet Stream as data source """ def __init__(self, sheet_stream, **keywords): self.__sheet_stream = sheet_stream AbstractSource.__init__(self, **keywords) def get_data(self): return {self.__sheet_stream.name: self.__sheet_stream.payload} def get_source_info(self): return params.SHEET_STREAM, None pyexcel-0.7.0/pyexcel/plugins/sources/sqlalchemy.py000066400000000000000000000023771420202037400225230ustar00rootroot00000000000000""" pyexcel.plugins.sources.sqlalchemy ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Representation of sqlalchemy sources :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel_io.constants import DB_SQL from .db_sources import BookDbSource, SheetDbSource class SheetSQLAlchemySource(SheetDbSource): """ SQLAlchemy channeled sql database as data source """ def __init__( self, session, table, export_columns=None, sheet_name=None, **keywords ): self.__session = session self.__table = table SheetDbSource.__init__( self, DB_SQL, export_columns=export_columns, sheet_name=sheet_name, **keywords ) def get_export_params(self): return (self.__session, [self.__table]) def get_import_params(self): return (self.__session, self.__table) class BookSQLSource(BookDbSource): """ SQLAlchemy bridged multiple table data source """ def __init__(self, session, tables, **keywords): self.__session = session self.__tables = tables BookDbSource.__init__(self, DB_SQL, **keywords) def get_params(self): return (self.__session, self.__tables) pyexcel-0.7.0/pyexcel/renderer.py000066400000000000000000000120721420202037400170140ustar00rootroot00000000000000""" pyexcel.renderer ~~~~~~~~~~~~~~~~~~~ Renders pyexcel.Book and pyexcel.Sheet to any format :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import _compact as compact class AbstractRenderer(object): """ Close some functions that will not be used """ WRITE_FLAG = "w" def __init__(self, file_type): self._file_type = file_type self._stream = None self._write_title = True def get_io(self): """ If your renderer's output is binary, please override it and return BytesIO instead """ raise NotImplementedError("No io for this renderer") def render_sheet_to_file(self, file_name, sheet, **keywords): """Render a sheet to a physical file :param file_name: the output file name :param sheet: pyexcel sheet instance to be rendered :param write_title: to write sheet name :param keywords: any other keywords to the renderer """ raise NotImplementedError("We are not writing to file") def render_sheet_to_stream(self, file_stream, sheet, **keywords): """Render a sheet to a file stream :param file_stream: the output file stream :param sheet: pyexcel sheet instance to be rendered :param write_title: to write sheet name :param keywords: any other keywords to the renderer """ raise NotImplementedError("We are not writing to file") def render_book_to_file(self, file_name, book, **keywords): """Render a book to a physical file :param file_name: the output file name :param book: pyexcel book instance to be rendered :param write_title: to write sheet names :param keywords: any other keywords to the renderer """ raise NotImplementedError("We are not writing to file") def render_book_to_stream(self, file_stream, book, **keywords): """Render a book to a file stream :param file_stream: the output file stream :param book: pyexcel book instance to be rendered :param write_title: to write sheet names :param keywords: any other keywords to the renderer """ raise NotImplementedError("We are not writing to file") class Renderer(AbstractRenderer): """ Render pyexcel sheet or book into excel format as any formats """ def get_io(self): return compact.StringIO() def render_sheet_to_file( self, file_name, sheet, write_title=True, **keywords ): self.set_write_title(write_title) with open(file_name, self.WRITE_FLAG) as outfile: self.set_output_stream(outfile) self.render_sheet(sheet, **keywords) def render_sheet_to_stream( self, file_stream, sheet, write_title=True, **keywords ): self.set_write_title(write_title) self.set_output_stream(file_stream) self.render_sheet(sheet, **keywords) def render_book_to_file( self, file_name, book, write_title=True, **keywords ): self.set_write_title(write_title) with open(file_name, self.WRITE_FLAG) as outfile: self.set_output_stream(outfile) self.render_book(book, **keywords) def render_book_to_stream( self, file_stream, book, write_title=True, **keywords ): self.set_write_title(write_title) self.set_output_stream(file_stream) self.render_book(book, **keywords) def render_sheet(self, sheet, **keywords): """ If your renderer is kind of text format, you just need to implement this function. :param sheet: pyexcel sheet instance to be rendered :param keywords: any other keywords to the renderer """ raise NotImplementedError("Please render sheet") def render_book(self, book, **keywords): """ Implementation of book rendering :param book: pyexcel book instance to be rendered :param keywords: any other keywords to the renderer """ number_of_sheets = book.number_of_sheets() - 1 for index, sheet in enumerate(book): self.render_sheet(sheet) if index < number_of_sheets: self._stream.write("\n") def set_output_stream(self, stream): """update internal stream""" self._stream = stream def set_write_title(self, flag): """update write title flag""" self._write_title = flag class BinaryRenderer(Renderer): """ Renderer pyexcel data into a binary object """ WRITE_FLAG = "wb" def get_io(self): io = compact.BytesIO() return io # pylint: disable=W0223 class DbRenderer(AbstractRenderer): """ Close some functions that will not be used """ def get_io(self): raise Exception("No io for this renderer") def render_sheet_to_file(self, file_name, sheet, **keywords): raise Exception("We are not writing to file") def render_book_to_file(self, file_name, book, **keywords): raise Exception("We are not writing to file") pyexcel-0.7.0/pyexcel/sheet.py000066400000000000000000000501141420202037400163150ustar00rootroot00000000000000""" pyexcel.sheet ~~~~~~~~~~~~~~~~~~~~~ Building on top of matrix, adding named columns and rows support :copyright: (c) 2014-2022 by Onni Software Ltd. :license: New BSD License, see LICENSE for more details """ import copy from collections import defaultdict from pyexcel import _compact as compact from pyexcel import constants as constants from pyexcel._compact import OrderedDict from pyexcel.internal.sheets.row import Row as NamedRow from pyexcel.internal.sheets.column import Column as NamedColumn from pyexcel.internal.sheets.matrix import Matrix class Sheet(Matrix): """Two dimensional data container for filtering, formatting and iteration :class:`~pyexcel.Sheet` is a container for a two dimensional array, where individual cell can be any Python types. Other than numbers, value of these types: string, date, time and boolean can be mixed in the array. This differs from Numpy's matrix where each cell are of the same number type. In order to prepare two dimensional data for your computation, formatting functions help convert array cells to required types. Formatting can be applied not only to the whole sheet but also to selected rows or columns. Custom conversion function can be passed to these formatting functions. For example, to remove extra spaces surrounding the content of a cell, a custom function is required. Filtering functions are used to reduce the information contained in the array. :ivar name: sheet name. use to change sheet name :ivar row: access data row by row :ivar column: access data column by column Example:: >>> import pyexcel as p >>> content = {'A': [[1]]} >>> b = p.get_book(bookdict=content) >>> b A: +---+ | 1 | +---+ >>> b[0].name 'A' >>> b[0].name = 'B' >>> b B: +---+ | 1 | +---+ """ def __init__( self, sheet=None, name=constants.DEFAULT_NAME, name_columns_by_row=-1, name_rows_by_column=-1, colnames=None, rownames=None, transpose_before=False, transpose_after=False, ): """Constructor :param sheet: two dimensional array :param name: this becomes the sheet name. :param name_columns_by_row: use a row to name all columns :param name_rows_by_column: use a column to name all rows :param colnames: use an external list of strings to name the columns :param rownames: use an external list of strings to name the rows """ self.__column_names = [] self.__row_names = [] self.__row_index = -1 self.__column_index = -1 self.init( sheet=sheet, name=name, name_columns_by_row=name_columns_by_row, name_rows_by_column=name_rows_by_column, colnames=colnames, rownames=rownames, transpose_before=transpose_before, transpose_after=transpose_after, ) def init( self, sheet=None, name=constants.DEFAULT_NAME, name_columns_by_row=-1, name_rows_by_column=-1, colnames=None, rownames=None, transpose_before=False, transpose_after=False, ): """custom initialization functions examples:: >>> import pyexcel as pe >>> data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] >>> sheet = pe.Sheet(data) >>> sheet.row[1] [4, 5, 6] >>> sheet.row[0:3] [[1, 2, 3], [4, 5, 6], [7, 8, 9]] >>> sheet.row += [11, 12, 13] >>> sheet.row[3] [11, 12, 13] >>> sheet.row[0:4] = [0, 0, 0] # set all to zero >>> sheet.row[3] [0, 0, 0] >>> sheet.row[0] = ['a', 'b', 'c'] # set one row >>> sheet.row[0] ['a', 'b', 'c'] >>> del sheet.row[0] # delete first row >>> sheet.row[0] # now, second row becomes the first [0, 0, 0] >>> del sheet.row[0:] >>> sheet.row[0] # nothing left Traceback (most recent call last): ... IndexError """ # this get rid of phatom data by not specifying sheet if sheet is None: sheet = [] Matrix.__init__(self, sheet) self.name = name self.__column_names = [] self.__row_names = [] if transpose_before: self.transpose() self.row = NamedRow(self) self.column = NamedColumn(self) if name_columns_by_row != -1: if colnames: raise NotImplementedError(constants.MESSAGE_NOT_IMPLEMENTED_02) self.name_columns_by_row(name_columns_by_row) else: if colnames: self.__column_names = colnames if name_rows_by_column != -1: if rownames: raise NotImplementedError(constants.MESSAGE_NOT_IMPLEMENTED_02) self.name_rows_by_column(name_rows_by_column) else: if rownames: self.__row_names = rownames if transpose_after: self.transpose() def clone(self): new_sheet = Sheet( copy.deepcopy(self.get_internal_array()), name_columns_by_row=self.__row_index, name_rows_by_column=self.__column_index, ) return new_sheet def __deepcopy__(self, memo): return self.clone() def transpose(self): self.__column_names, self.__row_names = ( self.__row_names, self.__column_names, ) Matrix.transpose(self) def name_columns_by_row(self, row_index): """Use the elements of a specified row to represent individual columns The specified row will be deleted from the data :param row_index: the index of the row that has the column names """ self.__row_index = row_index self.__column_names = make_names_unique(self.row_at(row_index)) del self.row[row_index] def name_rows_by_column(self, column_index): """Use the elements of a specified column to represent individual rows The specified column will be deleted from the data :param column_index: the index of the column that has the row names """ self.__column_index = column_index self.__row_names = make_names_unique(self.column_at(column_index)) del self.column[column_index] def group_rows_by_column(self, column_index_or_name): """Group rows with similiar column into a two dimensional array. Example:: >>> import pyexcel as p >>> sample_data = [ ... ["22/09/2017", "morning"], ... ["22/09/2017", "afternoon"], ... ["23/09/2017", "morning"], ... ["23/09/2017", "afternoon"] ... ] >>> sheet = p.Sheet(sample_data) >>> sheet.group_rows_by_column(0) 22/09/2017: +------------+-----------+ | 22/09/2017 | morning | +------------+-----------+ | 22/09/2017 | afternoon | +------------+-----------+ 23/09/2017: +------------+-----------+ | 23/09/2017 | morning | +------------+-----------+ | 23/09/2017 | afternoon | +------------+-----------+ :returns: an instance of a Book """ from pyexcel import Book groups = defaultdict(list) if isinstance(column_index_or_name, int): for row in self.to_array(): groups[row[column_index_or_name]].append(row) else: if len(self.colnames) == 0: self.name_columns_by_row(0) column_index = self.colnames.index(column_index_or_name) for row in self.rows(): if len(groups[row[column_index]]) == 0: groups[row[column_index]].append(self.colnames) groups[row[column_index]].append(row) return Book(groups) def top(self, lines=5): """ Preview top most 5 rows """ sheet = Sheet(self.row[:lines]) if len(self.colnames) > 0: sheet.colnames = self.__column_names return sheet def top_left(self, rows=5, columns=5): """ Preview top corner: 5x5 """ region = Sheet(self.region((0, 0), (rows, columns))) if len(self.__row_names) > 0: rownames = self.__row_names[:rows] region.rownames = rownames if len(self.__column_names) > 0: columnnames = self.__column_names[:columns] region.colnames = columnnames return region @property def colnames(self): """Return column names if any""" return self.__column_names @colnames.setter def colnames(self, value): """Set column names""" self.__column_names = make_names_unique(value) @property def rownames(self): """Return row names if any""" return self.__row_names @rownames.setter def rownames(self, value): """Set row names""" self.__row_names = make_names_unique(value) def named_column_at(self, name): """Get a column by its name""" index = name if compact.is_string(type(index)): index = self.colnames.index(name) column_array = self.column_at(index) return column_array def set_named_column_at(self, name, column_array): """ Take the first row as column names Given name to identify the column index, set the column to the given array except the column name. """ index = name if compact.is_string(type(index)): index = self.colnames.index(name) self.set_column_at(index, column_array) def delete_columns(self, column_indices): """Delete one or more columns :param list column_indices: a list of column indices """ Matrix.delete_columns(self, column_indices) if len(self.__column_names) > 0: new_series = [ self.__column_names[i] for i in range(0, len(self.__column_names)) if i not in column_indices ] self.__column_names = new_series def delete_rows(self, row_indices): """Delete one or more rows :param list row_indices: a list of row indices """ Matrix.delete_rows(self, row_indices) if len(self.__row_names) > 0: new_series = [ self.__row_names[i] for i in range(0, len(self.__row_names)) if i not in row_indices ] self.__row_names = new_series def delete_named_column_at(self, name): """Works only after you named columns by a row Given name to identify the column index, set the column to the given array except the column name. :param str name: a column name """ if isinstance(name, int): if len(self.rownames) > 0: self.rownames.pop(name) self.delete_columns([name]) else: index = self.colnames.index(name) self.colnames.pop(index) Matrix.delete_columns(self, [index]) def named_row_at(self, name): """Get a row by its name """ index = name index = self.rownames.index(name) row_array = self.row_at(index) return row_array def set_named_row_at(self, name, row_array): """ Take the first column as row names Given name to identify the row index, set the row to the given array except the row name. """ index = name if compact.is_string(type(index)): index = self.rownames.index(name) self.set_row_at(index, row_array) def delete_named_row_at(self, name): """Take the first column as row names Given name to identify the row index, set the row to the given array except the row name. """ if isinstance(name, int): if len(self.rownames) > 0: self.rownames.pop(name) self.delete_rows([name]) else: index = self.rownames.index(name) self.rownames.pop(index) Matrix.delete_rows(self, [index]) def extend_rows(self, rows): """Take ordereddict to extend named rows :param ordereddist/list rows: a list of rows. """ incoming_data = [] if isinstance(rows, compact.OrderedDict): keys = rows.keys() for k in keys: self.rownames.append(k) incoming_data.append(rows[k]) Matrix.extend_rows(self, incoming_data) elif len(self.rownames) > 0: raise TypeError( constants.MESSAGE_DATA_ERROR_ORDEREDDICT_IS_EXPECTED ) else: Matrix.extend_rows(self, rows) def extend_columns_with_rows(self, rows): """Put rows on the right most side of the data""" if len(self.colnames) > 0: headers = rows.pop(self.__row_index) self.__column_names += headers Matrix.extend_columns_with_rows(self, rows) def extend_columns(self, columns): """Take ordereddict to extend named columns :param ordereddist/list columns: a list of columns """ incoming_data = [] if isinstance(columns, compact.OrderedDict): keys = columns.keys() for k in keys: self.colnames.append(k) incoming_data.append(columns[k]) Matrix.extend_columns(self, incoming_data) elif len(self.colnames) > 0: raise TypeError( constants.MESSAGE_DATA_ERROR_ORDEREDDICT_IS_EXPECTED ) else: Matrix.extend_columns(self, columns) def to_array(self): """Returns an array after filtering""" ret = [] ret += list(self.rows()) if len(self.rownames) > 0: ret = [[value[0]] + value[1] for value in zip(self.rownames, ret)] if not compact.PY2: ret = list(ret) if len(self.colnames) > 0: if len(self.rownames) > 0: ret.insert(0, [constants.DEFAULT_NA] + self.colnames) else: ret.insert(0, self.colnames) return ret def to_records(self, custom_headers=None): """ Make an array of dictionaries It takes the first row as keys and the rest of the rows as values. Then zips keys and row values per each row. This is particularly helpful for database operations. """ if len(self.colnames) > 0: if custom_headers: headers = custom_headers else: headers = self.colnames for row in self.rows(): the_dict = compact.OrderedDict(zip(headers, row)) yield the_dict elif len(self.rownames) > 0: if custom_headers: headers = custom_headers else: headers = self.rownames for column in self.columns(): the_dict = compact.OrderedDict(zip(headers, column)) yield the_dict else: raise ValueError(constants.MESSAGE_DATA_ERROR_NO_SERIES) def project(self, new_ordered_columns, exclusion=False): """ Rearrange the sheet. :ivar new_ordered_columns: new columns :ivar exclusion: to exlucde named column or not. defaults to False Example:: >>> sheet = Sheet( ... [["A", "B", "C"], [1, 2, 3], [11, 22, 33], [111, 222, 333]], ... name_columns_by_row=0) >>> sheet.project(["B", "A", "C"]) pyexcel sheet: +-----+-----+-----+ | B | A | C | +=====+=====+=====+ | 2 | 1 | 3 | +-----+-----+-----+ | 22 | 11 | 33 | +-----+-----+-----+ | 222 | 111 | 333 | +-----+-----+-----+ >>> sheet.project(["B", "C"]) pyexcel sheet: +-----+-----+ | B | C | +=====+=====+ | 2 | 3 | +-----+-----+ | 22 | 33 | +-----+-----+ | 222 | 333 | +-----+-----+ >>> sheet.project(["B", "C"], exclusion=True) pyexcel sheet: +-----+ | A | +=====+ | 1 | +-----+ | 11 | +-----+ | 111 | +-----+ """ from pyexcel import get_array the_dict = self.to_dict() new_dict = OrderedDict() if exclusion: for column in the_dict.keys(): if column not in new_ordered_columns: new_dict[column] = the_dict[column] else: for column in new_ordered_columns: new_dict[column] = the_dict[column] array = get_array(adict=new_dict) return Sheet(array, name=self.name, name_columns_by_row=0) def to_dict(self, row=False): """Returns a dictionary""" the_dict = compact.OrderedDict() if len(self.colnames) > 0 and row is False: for column in self.named_columns(): the_dict.update(column) elif len(self.rownames) > 0: for row in self.named_rows(): the_dict.update(row) else: raise NotImplementedError("Not implemented") return the_dict def named_rows(self): """iterate rows using row names""" for row_name in self.__row_names: try: yield {row_name: self.row[row_name]} except IndexError: yield {row_name: []} def named_columns(self): """iterate rows using column names""" for column_name in self.__column_names: try: yield {column_name: self.column[column_name]} except IndexError: yield {column_name: []} @property def content(self): """ Plain representation without headers """ content = self.get_texttable(write_title=False) return _RepresentedString(content) # python magic methods def __getitem__(self, aset): if isinstance(aset, tuple): if isinstance(aset[0], str): row = self.rownames.index(aset[0]) else: row = aset[0] if isinstance(aset[1], str): column = self.colnames.index(aset[1]) else: column = aset[1] return self.cell_value(row, column) else: return Matrix.__getitem__(self, aset) def __setitem__(self, aset, c): if isinstance(aset, tuple): if isinstance(aset[0], str): row = self.rownames.index(aset[0]) else: row = aset[0] if isinstance(aset[1], str): column = self.colnames.index(aset[1]) else: column = aset[1] self.cell_value(row, column, c) else: Matrix.__setitem__(self, aset, c) def __len__(self): return self.number_of_rows() class _RepresentedString(object): """present in text""" def __init__(self, text): self.text = text def __repr__(self): return self.text def __str__(self): return self.text def make_names_unique(alist): """Append the number of occurences to duplicated names""" duplicates = {} new_names = [] for item in alist: if not compact.is_string(type(item)): item = str(item) item = item.strip() if item in duplicates: duplicates[item] = duplicates[item] + 1 new_names.append("%s-%d" % (item, duplicates[item])) else: duplicates[item] = 0 new_names.append(item) return new_names pyexcel-0.7.0/pyexcel/source.py000066400000000000000000000034721420202037400165120ustar00rootroot00000000000000""" pyexcel.source ~~~~~~~~~~~~~~~~~~~~~~~~ Generic data source definition :copyright: (c) 2015-2022 by Onni Software Ltd. :license: New BSD License """ from pyexcel import constants as constants class AbstractSource(object): """ Define a data source for use with the signature functions This can be used to extend the function parameters once the custom class inherit this and register it with corresponding source registry """ fields = [constants.SOURCE] attributes = [] targets = [] actions = [] key = constants.SOURCE def __init__(self, **keywords): self._keywords = keywords def get_source_info(self): """return filename and path, otherwise not useful see also `:meth:pyexcel.internal.core.get_book_stream` """ return (None, None) @classmethod def is_my_business(cls, action, **keywords): """ If all required keys are present, this source is activated """ statuses = [_has_field(field, keywords) for field in cls.fields] results = [status for status in statuses if status is False] return len(results) == 0 def write_data(self, content): """Write data to a data source""" raise NotImplementedError("") def get_data(self): """Get data from a data source""" raise NotImplementedError("") class MemorySourceMixin(object): """A memory source should an internal memory stream And it is desirable to get its internal stream """ def get_content(self): """Get memory repsentation of the formatted data e.g. StringIO instance which contains the csv formatted data """ return self._content def _has_field(field, keywords): return field in keywords and keywords[field] is not None pyexcel-0.7.0/requirements.txt000066400000000000000000000000661420202037400164470ustar00rootroot00000000000000chardet lml>=0.0.4 pyexcel-io>=0.6.2 texttable>=0.8.2 pyexcel-0.7.0/rnd_requirements.txt000066400000000000000000000000001420202037400172760ustar00rootroot00000000000000pyexcel-0.7.0/setup.cfg000066400000000000000000000001051420202037400147760ustar00rootroot00000000000000[metadata] description-file = README.rst [bdist_wheel] universal = 1 pyexcel-0.7.0/setup.py000066400000000000000000000127751420202037400147070ustar00rootroot00000000000000#!/usr/bin/env python3 """ Template by pypi-mobans """ import os import sys import codecs import locale import platform from shutil import rmtree from setuptools import Command, setup, find_packages PY2 = sys.version_info[0] == 2 PY26 = PY2 and sys.version_info[1] < 7 PY33 = sys.version_info < (3, 4) # Work around mbcs bug in distutils. # http://bugs.python.org/issue10945 # This work around is only if a project supports Python < 3.4 # Work around for locale not being set try: lc = locale.getlocale() pf = platform.system() if pf != "Windows" and lc == (None, None): locale.setlocale(locale.LC_ALL, "C.UTF-8") except (ValueError, UnicodeError, locale.Error): locale.setlocale(locale.LC_ALL, "en_US.UTF-8") NAME = "pyexcel" AUTHOR = "C.W." VERSION = "0.7.0" EMAIL = "info@pyexcel.org" LICENSE = "New BSD" DESCRIPTION = ( "A wrapper library that provides one API to read, manipulate and write" + "data in different excel formats" ) URL = "https://github.com/pyexcel/pyexcel" DOWNLOAD_URL = "%s/archive/0.7.0.tar.gz" % URL FILES = ["README.rst", "CONTRIBUTORS.rst", "CHANGELOG.rst"] KEYWORDS = [ "python", 'tsv', 'tsvz' 'csv', 'csvz', 'xls', 'xlsx', 'ods' ] CLASSIFIERS = [ "Topic :: Software Development :: Libraries", "Programming Language :: Python", "Intended Audience :: Developers", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", 'Development Status :: 3 - Alpha', ] PYTHON_REQUIRES = ">=3.6" INSTALL_REQUIRES = [ "chardet", "lml>=0.0.4", "pyexcel-io>=0.6.2", "texttable>=0.8.2", ] SETUP_COMMANDS = {} PACKAGES = find_packages(exclude=["ez_setup", "examples", "tests", "tests.*"]) EXTRAS_REQUIRE = { "xls": ['pyexcel-xls>=0.6.0'], "xlsx": ['pyexcel-xlsx>=0.6.0'], "ods": ['pyexcel-ods3>=0.6.0'], } # You do not need to read beyond this line PUBLISH_COMMAND = "{0} setup.py sdist bdist_wheel upload -r pypi".format(sys.executable) HERE = os.path.abspath(os.path.dirname(__file__)) GS_COMMAND = ("gease pyexcel v0.7.0 " + "Find 0.7.0 in changelog for more details") NO_GS_MESSAGE = ("Automatic github release is disabled. " + "Please install gease to enable it.") UPLOAD_FAILED_MSG = ( 'Upload failed. please run "%s" yourself.' % PUBLISH_COMMAND) class PublishCommand(Command): """Support setup.py upload.""" description = "Build and publish the package on github and pypi" user_options = [] @staticmethod def status(s): """Prints things in bold.""" print("\033[1m{0}\033[0m".format(s)) def initialize_options(self): pass def finalize_options(self): pass def run(self): try: self.status("Removing previous builds...") rmtree(os.path.join(HERE, "dist")) rmtree(os.path.join(HERE, "build")) rmtree(os.path.join(HERE, "pyexcel.egg-info")) except OSError: pass self.status("Building Source and Wheel (universal) distribution...") run_status = True if has_gease(): run_status = os.system(GS_COMMAND) == 0 else: self.status(NO_GS_MESSAGE) if run_status: if os.system(PUBLISH_COMMAND) != 0: self.status(UPLOAD_FAILED_MSG) sys.exit() SETUP_COMMANDS.update({ "publish": PublishCommand }) def has_gease(): """ test if github release command is installed visit http://github.com/moremoban/gease for more info """ try: import gease # noqa return True except ImportError: return False def read_files(*files): """Read files into setup""" text = "" for single_file in files: content = read(single_file) text = text + content + "\n" return text def read(afile): """Read a file into setup""" the_relative_file = os.path.join(HERE, afile) with codecs.open(the_relative_file, "r", "utf-8") as opened_file: content = filter_out_test_code(opened_file) content = "".join(list(content)) return content def filter_out_test_code(file_handle): found_test_code = False for line in file_handle.readlines(): if line.startswith(".. testcode:"): found_test_code = True continue if found_test_code is True: if line.startswith(" "): continue else: empty_line = line.strip() if len(empty_line) == 0: continue else: found_test_code = False yield line else: for keyword in ["|version|", "|today|"]: if keyword in line: break else: yield line if __name__ == "__main__": setup( test_suite="tests", name=NAME, author=AUTHOR, version=VERSION, author_email=EMAIL, description=DESCRIPTION, url=URL, download_url=DOWNLOAD_URL, long_description=read_files(*FILES), license=LICENSE, keywords=KEYWORDS, python_requires=PYTHON_REQUIRES, extras_require=EXTRAS_REQUIRE, tests_require=["nose"], install_requires=INSTALL_REQUIRES, packages=PACKAGES, include_package_data=True, zip_safe=False, classifiers=CLASSIFIERS, cmdclass=SETUP_COMMANDS ) pyexcel-0.7.0/test.bat000066400000000000000000000002261420202037400146300ustar00rootroot00000000000000pip freeze nosetests --with-coverage --cover-package pyexcel --cover-package tests tests --with-doctest --doctest-extension=.rst docs/source pyexcel pyexcel-0.7.0/test.sh000066400000000000000000000002411420202037400144710ustar00rootroot00000000000000#/bin/bash pip freeze nosetests --with-coverage --cover-package pyexcel --cover-package tests tests --with-doctest --doctest-extension=.rst docs/source pyexcel pyexcel-0.7.0/tests/000077500000000000000000000000001420202037400143235ustar00rootroot00000000000000pyexcel-0.7.0/tests/_compact.py000066400000000000000000000005141420202037400164620ustar00rootroot00000000000000# flake8: noqa import sys PY2 = sys.version_info[0] == 2 if sys.version_info[0] == 2 and sys.version_info[1] < 7: from ordereddict import OrderedDict else: from collections import OrderedDict if PY2: from StringIO import StringIO from StringIO import StringIO as BytesIO else: from io import BytesIO, StringIO pyexcel-0.7.0/tests/base.py000066400000000000000000000206551420202037400156170ustar00rootroot00000000000000import os import json import unittest import pyexcel as pe from nose.tools import eq_, raises def clean_up_files(file_list): for f in file_list: if os.path.exists(f): os.unlink(f) def to_json(iterator): array = list(iterator) return json.dumps(array) def create_generic_file(filename, array_content): pe.save_as(dest_file_name=filename, array=array_content) def create_sample_file1(filename): data = [["a", "b", "c", "d"], ["e", "f", "g", "h"], ["i", "j", 1.1, 1]] create_generic_file(filename, data) def create_sample_file1_series(filename): data = [ ["c1", "c2", "c3", "c4"], ["a", "b", "c", "d"], ["e", "f", "g", "h"], ["i", "j", 1.1, 1], ] create_generic_file(filename, data) def create_sample_file2(filename): """ 1,2,3,4 5,6,7,8 9,10,11,12 """ table = [] for i in [0, 4, 8]: array = [i + 1, i + 2, i + 3, i + 4] table.append(array) create_generic_file(filename, table) def create_sample_file2_in_memory(file_type): """ 1,2,3,4 5,6,7,8 9,10,11,12 """ table = [] for i in [0, 4, 8]: array = [i + 1, i + 2, i + 3, i + 4] table.append(array) io = pe.save_as(dest_file_type=file_type, array=table) return io class PyexcelSheetBase(unittest.TestCase): filename = "fixtures/non-uniform-rows.csv" def setUp(self): self.sheet = pe.Sheet( [ [f"{row_no}_{col_no}" for col_no in range(10)] for row_no in range(10) ] ) class PyexcelBase: def _write_test_file(self, filename): """ Make a test csv file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ self.rows = 3 table = [] for i in range(0, self.rows): row = i + 1 array = [row] * 4 table.append(array) create_generic_file(filename, table) def test_number_of_rows(self): r = pe.Reader(self.testfile) assert self.rows == r.number_of_rows() def test_cell_value(self): r = pe.Reader(self.testfile) for i in range(0, self.rows): row = i + 1 assert row == r.cell_value(i, 1) for i in r.row_range(): assert i + 1 == r.cell_value(i, 1) assert 3 == r.cell_value(2, 3) def test_row_range(self): r = pe.Reader(self.testfile) assert self.rows == len(r.row_range()) def test_number_of_columns(self): r = pe.Reader(self.testfile) assert 4 == r.number_of_columns() @raises(ValueError) def test_slice(self): r = pe.Reader(self.testfile) content1 = [[1, 1, 1, 1]] assert content1 == r.row[0:1] content2 = [[1, 1, 1, 1], [2, 2, 2, 2]] assert content2 == r.row[0:2] assert content2 == r.row[:2] content3 = [[2, 2, 2, 2], [3, 3, 3, 3]] assert content3 == r.row[1:] content4 = [[1, 1, 1, 1], [2, 2, 2, 2]] assert content4 == r.row[0:2:1] content5 = [1, 1, 1, 1] assert [content5] == r.row[0:0] r.row[2:1] # bang class PyexcelMultipleSheetBase: def _write_test_file(self, filename): pe.save_book_as(dest_file_name=filename, bookdict=self.content) def _clean_up(self): if os.path.exists(self.testfile2): os.unlink(self.testfile2) if os.path.exists(self.testfile): os.unlink(self.testfile) def test_sheet_names(self): r = pe.BookReader(self.testfile) expected = ["Sheet1", "Sheet2", "Sheet3"] sheet_names = r.sheet_names() assert sheet_names == expected def test_reading_through_sheets(self): b = pe.BookReader(self.testfile) data = list(b["Sheet1"].rows()) expected = [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]] assert data == expected data = list(b["Sheet2"].rows()) expected = [[4, 4, 4, 4], [5, 5, 5, 5], [6, 6, 6, 6]] assert data == expected data = list(b["Sheet3"].rows()) expected = [["X", "Y", "Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]] assert data == expected sheet3 = b["Sheet3"] sheet3.name_columns_by_row(0) data = list(sheet3.rows()) expected = [[1, 4, 7], [2, 5, 8], [3, 6, 9]] assert data == expected def test_iterate_through_sheets(self): b = pe.get_book(file_name=self.testfile) for s in b: data = s.array assert self.content[s.name] == data si = pe.internal.common.SheetIterator(b) for s in si: data = s.array assert self.content[s.name] == data def test_write_a_book_reader(self): b = pe.get_book(file_name=self.testfile) b.save_as(self.testfile2) x = pe.get_book(file_name=self.testfile2) for s in x: data = s.array assert self.content[s.name] == data def test_random_access_operator(self): r = pe.get_book(file_name=self.testfile) value = r["Sheet1"].row[0][1] assert value == 1 value = r["Sheet3"].row[0][1] assert value == "Y" r["Sheet3"].name_columns_by_row(0) value = r["Sheet3"].row[0][1] assert value == 4 class PyexcelIteratorBase: @raises(IndexError) def test_random_access(self): self.iteratable.cell_value(100, 100) def test_set_value(self): self.iteratable.cell_value(0, 0, 1) assert self.iteratable.cell_value(0, 0) == 1 def test_horizontal_iterator(self): result = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] actual = list(self.iteratable.enumerate()) eq_(result, actual) def test_row_iterator(self): result = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] actual = to_one_dimensional_array(self.iteratable.rows()) eq_(result, actual) def test_row_iterator_2_dimensions(self): result = [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]] actual = list(self.iteratable.rows()) eq_(result, actual) def test_horizontal_reverse_iterator(self): result = [12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1] actual = list(self.iteratable.reverse()) eq_(result, actual) def test_row_reverse_iterator(self): result = [9, 10, 11, 12, 5, 6, 7, 8, 1, 2, 3, 4] actual = to_one_dimensional_array(self.iteratable.rrows()) eq_(result, actual) def test_row_reverse_iterator_2_dimensions(self): result = [[9, 10, 11, 12], [5, 6, 7, 8], [1, 2, 3, 4]] actual = list(self.iteratable.rrows()) eq_(result, actual) def test_vertical_iterator(self): result = [1, 5, 9, 2, 6, 10, 3, 7, 11, 4, 8, 12] actual = list(self.iteratable.vertical()) eq_(result, actual) def test_column_iterator(self): result = [1, 5, 9, 2, 6, 10, 3, 7, 11, 4, 8, 12] actual = to_one_dimensional_array(self.iteratable.columns()) eq_(result, actual) def test_column_iterator_2_dimensions(self): result = [[1, 5, 9], [2, 6, 10], [3, 7, 11], [4, 8, 12]] actual = list(self.iteratable.columns()) eq_(result, actual) def test_vertical_reverse_iterator(self): result = [12, 8, 4, 11, 7, 3, 10, 6, 2, 9, 5, 1] actual = list(self.iteratable.rvertical()) eq_(result, actual) def test_column_reverse_iterator(self): result = [4, 8, 12, 3, 7, 11, 2, 6, 10, 1, 5, 9] actual = to_one_dimensional_array(self.iteratable.rcolumns()) eq_(result, actual) def test_column_reverse_iterator_2_dimensions(self): result = [[4, 8, 12], [3, 7, 11], [2, 6, 10], [1, 5, 9]] actual = list(self.iteratable.rcolumns()) eq_(result, actual) class PyexcelSheetRWBase: @raises(TypeError) def test_extend_rows(self): r2 = self.testclass(self.testfile) content = [ ["r", "s", "t", "o"], [1, 2, 3, 4], [True], [1.1, 2.2, 3.3, 4.4, 5.5], ] r2.row += content assert r2.row[3] == ["r", "s", "t", "o", ""] assert r2.row[4] == [1, 2, 3, 4, ""] assert r2.row[5] == [True, "", "", "", ""] assert r2.row[6] == [1.1, 2.2, 3.3, 4.4, 5.5] r2.row += 12 # bang def to_one_dimensional_array(iterator): """convert a reader to one dimensional array""" array = [] for i in iterator: if type(i) == list: array += i else: array.append(i) return array pyexcel-0.7.0/tests/db.py000066400000000000000000000015561420202037400152710ustar00rootroot00000000000000import platform from sqlalchemy import Date, Float, Column, String, Integer, create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.ext.declarative import declarative_base engine = None if platform.python_implementation() == "PyPy": engine = create_engine("sqlite:///tmp.db") else: engine = create_engine("sqlite://") Base = declarative_base() class Pyexcel(Base): __tablename__ = "pyexcel" id = Column(Integer, primary_key=True) name = Column(String) weight = Column(Float) birth = Column(Date) class Signature(Base): __tablename__ = "signature" X = Column(Integer, primary_key=True) Y = Column(Integer) Z = Column(Integer) class Signature2(Base): __tablename__ = "signature2" A = Column(Integer, primary_key=True) B = Column(Integer) C = Column(Integer) Session = sessionmaker(bind=engine) pyexcel-0.7.0/tests/fixtures/000077500000000000000000000000001420202037400161745ustar00rootroot00000000000000pyexcel-0.7.0/tests/fixtures/bug_01.csv000066400000000000000000000000411420202037400177610ustar00rootroot00000000000000"a,d,e,f" '1',2,3,4 '2',3,4,5 'b'pyexcel-0.7.0/tests/fixtures/bug_176.xlsx000066400000000000000000015010171420202037400202730ustar00rootroot00000000000000PK!†Úôw†”[Content_Types].xml 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sheet1.csv1,4,9 2,5,8 3,6,7 PK ˸‰E6ÙÌA sheet2.csv1,4,9 2,5,8 3,6,7 PK ˸‰E6ÙÌA sheet3.csv1,4,9 2,5,8 3,6,7 PK? ˸‰E6ÙÌA $ sheet1.csv ¿p‘¾Ð9_¾ÐÔÁF»ÐPK? ˸‰E6ÙÌA $ =sheet2.csv ¿p‘¾ÐZÏÿi]ÐZÏÿi]ÐPK? ˸‰E6ÙÌA $ zsheet3.csv ¿p‘¾Ðª¥/q]Ъ¥/q]ÐPK·pyexcel-0.7.0/tests/fixtures/test-single.csvz000066400000000000000000000003031420202037400213350ustar00rootroot00000000000000PK ˸‰E6ÙÌAtest-single-csvz.csv1,4,9 2,5,8 3,6,7 PK? ˸‰E6ÙÌA$ test-single-csvz.csv ¿p‘¾Ð9_¾ÐÔÁF»ÐPKfGpyexcel-0.7.0/tests/fixtures/test_cook_book_merge_alphabets.csv000066400000000000000000000000221420202037400251110ustar00rootroot00000000000000a,b,c d,e,f g,h,I pyexcel-0.7.0/tests/fixtures/test_cook_book_merge_alphabets_2.csv000066400000000000000000000000341420202037400253350ustar00rootroot00000000000000a,b,c,, d,e,f,m,q g,h,I,n,p pyexcel-0.7.0/tests/fixtures/test_cook_book_merge_numbers.csv000066400000000000000000000000221420202037400246210ustar00rootroot000000000000001,2,3 4,5,6 7,8,9 pyexcel-0.7.0/tests/fixtures/test_cook_book_merge_numbers_2.csv000066400000000000000000000000451420202037400250470ustar00rootroot000000000000001,2,3,,,, 4,5,6,10,11,12, 7,8,9,,,,9 pyexcel-0.7.0/tests/requirements.txt000066400000000000000000000003321420202037400176050ustar00rootroot00000000000000nose mock;python_version<"3" codecov coverage flake8 black isort collective.checkdocs pygments moban moban_jinja2_github flask SQLAlchemy pyexcel-xlsx>=0.4.1 pyexcel-xls<=0.6.2 pyexcel-text>=0.2.0 psutil pyexcel-pygal pyexcel-0.7.0/tests/test_book.py000066400000000000000000000011411420202037400166630ustar00rootroot00000000000000import pyexcel as p from nose.tools import eq_ def test_a_dictionary_of_sheet(): test_data = [["a", "b"]] book_dict = {"test": p.Sheet(test_data)} book = p.Book(book_dict) eq_(book.test.array, test_data) def test_book_len(): test_data = [["a", "b"]] book_dict = {"test": p.Sheet(test_data)} book = p.Book(book_dict) eq_(len(book.test.array), 1) def test_sheet_ordering(): test_data = [["a", "b"]] book_dict = {"first": test_data, "middle": test_data, "last": test_data} book = p.Book(book_dict) eq_(book.sheet_names(), ["first", "middle", "last"]) pyexcel-0.7.0/tests/test_book_stream.py000066400000000000000000000014051420202037400202410ustar00rootroot00000000000000from pyexcel.internal.common import get_book_headers_in_array from pyexcel.internal.generators import BookStream from nose.tools import eq_ def test_book_stream(): bs = BookStream() assert bs.number_of_sheets() == 0 def test_load_from_empty_sheets(): bs = BookStream() bs.load_from_sheets(None) assert bs.number_of_sheets() == 0 def test_key_sorting(): adict = {"cd": [[1, 3]], "ab": [[2, 3]]} bs = BookStream(adict) # bs[0] should be 'ab' : SheetStream([[2,3]]) assert bs[0].payload == [[2, 3]] def test_get_book_headers_in_array(): data = iter([["a", "b", "c"], [1, 2, 3]]) book_stream = BookStream({"test": data}) colnames_array = get_book_headers_in_array(book_stream) eq_(colnames_array, [["a", "b", "c"]]) pyexcel-0.7.0/tests/test_bug_fixes.py000066400000000000000000000371501420202037400177150ustar00rootroot00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- import os from datetime import datetime from textwrap import dedent import psutil import pyexcel as p from _compact import StringIO, OrderedDict from nose.tools import eq_ def test_bug_01(): """ if first row of csv is shorter than the rest of the rows, the csv will be truncated by first row. This is a bug "a,d,e,f" <- this will be 1 '1',2,3,4 <- 4 '2',3,4,5 'b' <- give '' for missing cells """ r = p.Reader(os.path.join("tests", "fixtures", "bug_01.csv")) assert len(r.row[0]) == 4 # test "" is append for empty cells assert r[0, 1] == "" assert r[3, 1] == "" def test_issue_03(): file_prefix = "issue_03_test" csv_file = "%s.csv" % file_prefix xls_file = "%s.xls" % file_prefix my_sheet_name = "mysheetname" data = [[1, 1]] sheet = p.Sheet(data, name=my_sheet_name) sheet.save_as(csv_file) assert os.path.exists(csv_file) sheet.save_as(xls_file) book = p.load_book(xls_file) assert book.sheet_names()[0] == my_sheet_name os.unlink(csv_file) os.unlink(xls_file) def test_issue_06(): import logging logger = logging.getLogger("test") logger.setLevel(logging.DEBUG) ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) logger.addHandler(ch) output = StringIO() book = p.Book({"hoja1": [["datos", "de", "prueba"], [1, 2, 3]]}) book.save_to_memory("csv", output) logger.debug(output.getvalue()) def test_issue_09(): p.book.LOCAL_UUID = 0 merged = p.Book() sheet1 = p.Sheet(sheet=[[1, 2]]) sheet2 = p.Sheet(sheet=[[1, 2]]) merged += sheet1 merged += sheet2 eq_(merged[1].name, "pyexcel sheet_1") def test_issue_10(): thedict = OrderedDict() thedict.update({"Column 1": [1, 2, 3]}) thedict.update({"Column 2": [1, 2, 3]}) thedict.update({"Column 3": [1, 2, 3]}) p.save_as(adict=thedict, dest_file_name="issue10.xls") newdict = p.get_dict(file_name="issue10.xls") assert isinstance(newdict, OrderedDict) is True eq_(thedict, newdict) os.unlink("issue10.xls") def test_issue_29(): a = [ # error case ["2016-03-31 10:59", "0123", "XS360_EU", "04566651561653122"], # python types [datetime(2016, 4, 15, 17, 52, 11), 123, False, 456193284757], ] s = p.get_sheet(array=a) content = dedent( """ pyexcel_sheet1: +------------------+------+----------+-------------------+ | 2016-03-31 10:59 | 0123 | XS360_EU | 04566651561653122 | +------------------+------+----------+-------------------+ | 15/04/16 | 123 | false | 456193284757 | +------------------+------+----------+-------------------+""" ) eq_(str(s), content.strip("\n")) def test_issue_29_nominablesheet(): a = [ ["date", "number", "misc", "long number"], # error case ["2016-03-31 10:59", "0123", "XS360_EU", "04566651561653122"], # python types [datetime(2016, 4, 15, 17, 52, 11), 123, False, 456193284757], ] s = p.get_sheet(array=a) s.name_columns_by_row(0) content = dedent( """ pyexcel_sheet1: +------------------+--------+----------+-------------------+ | date | number | misc | long number | +==================+========+==========+===================+ | 2016-03-31 10:59 | 0123 | XS360_EU | 04566651561653122 | +------------------+--------+----------+-------------------+ | 15/04/16 | 123 | false | 456193284757 | +------------------+--------+----------+-------------------+""" ) eq_(str(s), content.strip("\n")) def test_issue_51_orderred_dict_in_records(): from pyexcel.plugins.sources.pydata.records import RecordsReader records = [] orderred_dict = OrderedDict() orderred_dict.update({"Zebra": 10}) orderred_dict.update({"Hippo": 9}) orderred_dict.update({"Monkey": 8}) records.append(orderred_dict) orderred_dict2 = OrderedDict() orderred_dict2.update({"Zebra": 1}) orderred_dict2.update({"Hippo": 2}) orderred_dict2.update({"Monkey": 3}) records.append(orderred_dict2) records_reader = RecordsReader(records) array = list(records_reader.to_array()) expected = [["Zebra", "Hippo", "Monkey"], [10, 9, 8], [1, 2, 3]] eq_(array, expected) def test_issue_51_normal_dict_in_records(): from pyexcel.plugins.sources.pydata.records import RecordsReader records = [] orderred_dict = {} orderred_dict.update({"Zebra": 10}) orderred_dict.update({"Hippo": 9}) orderred_dict.update({"Monkey": 8}) records.append(orderred_dict) orderred_dict2 = {} orderred_dict2.update({"Zebra": 1}) orderred_dict2.update({"Hippo": 2}) orderred_dict2.update({"Monkey": 3}) records.append(orderred_dict2) records_reader = RecordsReader(records) array = list(records_reader.to_array()) expected = [["Hippo", "Monkey", "Zebra"], [9, 8, 10], [2, 3, 1]] eq_(array, expected) def test_issue_55_unicode_in_headers(): headers = [u"Äkkilähdöt", u"Matkakirjoituksia", u"Matkatoimistot"] content = [headers, [1, 2, 3]] sheet = p.Sheet(content) sheet.name_columns_by_row(0) eq_(sheet.colnames, headers) def test_issue_60_chinese_text_in_python_2_stdout(): import sys data = [["è¿™", "是", "中", "æ–‡"], ["è¿™", "是", "中", "æ–‡"]] sheet = p.Sheet(data) sys.stdout.write(repr(sheet)) def test_issue_60_chinese_text_in_python_2_stdout_on_book(): import sys adict = {"Sheet 1": [["è¿™", "是", "中", "æ–‡"], ["è¿™", "是", "中", "æ–‡"]]} book = p.Book() book.bookdict = adict sys.stdout.write(repr(book)) def test_issue_63_empty_array_crash_texttable_renderer(): sheet = p.Sheet([]) print(sheet) def test_xls_issue_11(): data = [[1, 2]] sheet = p.Sheet(data) sheet2 = p.get_sheet(file_content=sheet.xls, file_type="XLS") eq_(sheet.array, sheet2.array) test_file = "xls_issue_11.JSON" sheet2.save_as(test_file) os.unlink(test_file) def test_issue_68(): data = [[1]] sheet = p.Sheet(data) stream = sheet.save_to_memory("csv") eq_(stream.read(), "1\r\n") data = {"sheet": [[1]]} book = p.Book(data) stream = book.save_to_memory("csv") eq_(stream.read(), "1\r\n") def test_issue_74(): from decimal import Decimal data = [[Decimal("1.1")]] sheet = p.Sheet(data) table = sheet.texttable expected = "pyexcel sheet:\n+-----+\n| 1.1 |\n+-----+" eq_(table, expected) def test_issue_76(): from pyexcel._compact import StringIO tsv_stream = StringIO() tsv_stream.write("1\t2\t3\t4\n") tsv_stream.write("1\t2\t3\t4\n") tsv_stream.seek(0) sheet = p.get_sheet( file_stream=tsv_stream, file_type="csv", delimiter="\t" ) data = [[1, 2, 3, 4], [1, 2, 3, 4]] eq_(sheet.array, data) def test_issue_83_csv_file_handle(): proc = psutil.Process() test_file = os.path.join("tests", "fixtures", "bug_01.csv") open_files_l1 = proc.open_files() # start with a csv file data = p.iget_array(file_name=test_file) open_files_l2 = proc.open_files() delta = len(open_files_l2) - len(open_files_l1) # interestingly, no open file handle yet assert delta == 0 # now the file handle get opened when we run through # the generator list(data) open_files_l3 = proc.open_files() delta = len(open_files_l3) - len(open_files_l1) # caught an open file handle, the "fish" finally assert delta == 1 # free the fish p.free_resources() open_files_l4 = proc.open_files() # this confirms that no more open file handle eq_(open_files_l1, open_files_l4) def test_issue_83_file_handle_no_generator(): proc = psutil.Process() test_files = [ os.path.join("tests", "fixtures", "bug_01.csv"), os.path.join("tests", "fixtures", "test-single.csvz"), os.path.join("tests", "fixtures", "date_field.xls"), ] for test_file in test_files: open_files_l1 = proc.open_files() # start with a csv file p.get_array(file_name=test_file) open_files_l2 = proc.open_files() delta = len(open_files_l2) - len(open_files_l1) # no open file handle should be left assert delta == 0 def test_issue_83_csvz_file_handle(): proc = psutil.Process() test_file = os.path.join("tests", "fixtures", "test-single.csvz") open_files_l1 = proc.open_files() # start with a csv file data = p.iget_array(file_name=test_file) open_files_l2 = proc.open_files() delta = len(open_files_l2) - len(open_files_l1) # interestingly, file is already open :) assert delta == 1 # now the file handle get opened when we run through # the generator list(data) open_files_l3 = proc.open_files() delta = len(open_files_l3) - len(open_files_l1) # caught an open file handle, the "fish" finally assert delta == 1 # free the fish p.free_resources() open_files_l4 = proc.open_files() # this confirms that no more open file handle eq_(open_files_l1, open_files_l4) def test_issue_83_xls_file_handle(): proc = psutil.Process() test_file = os.path.join("tests", "fixtures", "date_field.xls") open_files_l1 = proc.open_files() # start with a csv file data = p.iget_array(file_name=test_file) open_files_l2 = proc.open_files() delta = len(open_files_l2) - len(open_files_l1) # interestingly, no open file using xlrd assert delta == 0 # now the file handle get opened when we run through # the generator list(data) open_files_l3 = proc.open_files() delta = len(open_files_l3) - len(open_files_l1) # still no open file assert delta == 0 p.free_resources() open_files_l4 = proc.open_files() eq_(open_files_l1, open_files_l4) def test_issue_92_non_uniform_records(): records = [{"a": 1}, {"b": 2}, {"c": 3}] sheet = p.get_sheet(records=records, custom_headers=["a", "b", "c"]) content = dedent( """ +---+---+---+ | a | b | c | +---+---+---+ | 1 | | | +---+---+---+ | | 2 | | +---+---+---+ | | | 3 | +---+---+---+""" ).strip("\n") eq_(str(sheet.content), content) def test_issue_92_incomplete_records(): records = [{"a": 1, "b": 2, "c": 3}, {"b": 2}, {"c": 3}] sheet = p.get_sheet(records=records) content = dedent( """ +---+---+---+ | a | b | c | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | | 2 | | +---+---+---+ | | | 3 | +---+---+---+""" ).strip("\n") eq_(str(sheet.content), content) def test_issue_92_verify_save_as(): records = [{"a": 1, "b": 2, "c": 3}, {"b": 2}, {"c": 3}] csv_io = p.save_as(records=records, dest_file_type="csv") content = "a,b,c\r\n1,2,3\r\n,2,\r\n,,3\r\n" eq_(csv_io.getvalue(), content) def test_issue_95_preserve_order_in_iget_orders(): test_data = [["a", "b", "c"], ["1", "2", "3"], ["4", "5", "6"]] records = p.iget_records(array=test_data) result = [] for record in records: for key, value in record.items(): result.append([key, value]) expected = [ ["a", "1"], ["b", "2"], ["c", "3"], ["a", "4"], ["b", "5"], ["c", "6"], ] eq_(result, expected) def test_issue_95_preserve_custom_order_in_iget_orders(): test_data = [["a", "b", "c"], ["1", "2", "3"], ["4", "5", "6"]] records = p.iget_records(array=test_data, custom_headers=["c", "a", "b"]) result = [] for record in records: for key, value in record.items(): result.append([key, value]) expected = [ ["c", "3"], ["a", "1"], ["b", "2"], ["c", "6"], ["a", "4"], ["b", "5"], ] eq_(result, expected) def test_issue_95_preserve_order_in_get_orders(): test_data = [["a", "b", "c"], ["1", "2", "3"], ["4", "5", "6"]] records = p.get_records(array=test_data) result = [] for record in records: for key, value in record.items(): result.append([key, value]) expected = [ ["a", "1"], ["b", "2"], ["c", "3"], ["a", "4"], ["b", "5"], ["c", "6"], ] eq_(result, expected) def test_issue_100(): data = [["a", "b"]] sheet = p.Sheet(data) sheet.name_columns_by_row(0) eq_(sheet.to_dict(), {"a": [], "b": []}) def test_issue_125(): book = p.Book() book += p.Sheet([[1]], "A") book += p.Sheet([[2]], "B") eq_(book.sheet_names(), ["A", "B"]) book.sort_sheets(reverse=True) eq_(book.sheet_names(), ["B", "A"]) def test_issue_125_saving_the_order(): test_file = "issue_125.xls" book = p.Book() book += p.Sheet([[1]], "A") book += p.Sheet([[2]], "B") eq_(book.sheet_names(), ["A", "B"]) book.sort_sheets(reverse=True) book.save_as(test_file) book2 = p.get_book(file_name=test_file) eq_(book2.sheet_names(), ["B", "A"]) os.unlink(test_file) def test_issue_125_using_key(): test_file = "issue_125.xls" book = p.Book() book += p.Sheet([[1]], "A") book += p.Sheet([[2]], "B") book += p.Sheet([[3]], "C") custom_order = {"A": 1, "B": 3, "C": 2} book.sort_sheets(key=lambda x: custom_order[x]) book.save_as(test_file) book2 = p.get_book(file_name=test_file) eq_(book2.sheet_names(), ["A", "C", "B"]) os.unlink(test_file) def test_issue_126(): data = [[1]] test_file = "issue_126.xls" test_name = "doyoufindme" p.save_as(array=data, dest_file_name=test_file, dest_sheet_name=test_name) sheet = p.get_sheet(file_name=test_file) eq_(sheet.name, test_name) os.unlink(test_file) def test_issue_126_isave_as(): data = [[1]] test_file = "issue_126.xls" test_name = "doyoufindme" p.isave_as(array=data, dest_file_name=test_file, dest_sheet_name=test_name) sheet = p.get_sheet(file_name=test_file) eq_(sheet.name, test_name) os.unlink(test_file) def test_pyexcel_issue_138(): sheet = p.Sheet() sheet.csv = "123_122," eq_(sheet[0, 0], "123_122") def test_pyexcel_issue_140(): TestSheet1 = p.Sheet() TestSheet1[4, 4] = "4x4" TestSheet1[0, 0] = "0,0" expected = [ ["0,0", "", "", "", ""], ["", "", "", "", ""], ["", "", "", "", ""], ["", "", "", "", ""], ["", "", "", "", "4x4"], ] eq_(expected, TestSheet1.to_array()) def test_pyexcel_issue_176(): sheet = p.get_sheet( file_name=os.path.join("tests", "fixtures", "bug_176.xlsx") ) eq_("", sheet.name) eq_([[]], sheet.array) def test_pyexcel_issue_176_get_book(): book = p.get_book( file_name=os.path.join("tests", "fixtures", "bug_176.xlsx") ) eq_({}, book.bookdict) def test_issue_241(): import glob from pyexcel import get_book, merge_all_to_a_book merge_all_to_a_book( glob.glob("tests/fixtures/issue_241/*.csv"), "issue_241.xlsx" ) book = get_book(file_name="issue_241.xlsx") book.sort_sheets() expected = dedent( """ 1.csv: +---------+---+---------+---------+ | header1 | | header3 | header4 | +---------+---+---------+---------+ | 1 | 2 | 3 | 4 | +---------+---+---------+---------+ 2.csv: +---------+---------+---+---------+ | headerA | headerB | | headerD | +---------+---------+---+---------+ | A | | C | D | +---------+---------+---+---------+ | F | G | M | T | +---------+---------+---+---------+""" ).lstrip() eq_(str(book), expected) os.unlink('issue_241.xlsx') def test_issue_250(): from copy import deepcopy s = p.Sheet() deepcopy(s) pyexcel-0.7.0/tests/test_cookbook.py000066400000000000000000000220531420202037400175440ustar00rootroot00000000000000import os import pyexcel as pe from base import clean_up_files from nose.tools import eq_, raises class TestSpliting: def setUp(self): self.testfile4 = "multiple_sheets.xls" self.content4 = { "Sheet1": [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]], "Sheet2": [[4, 4, 4, 4], [5, 5, 5, 5], [6, 6, 6, 6]], "Sheet3": [[u"X", u"Y", u"Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]], } pe.save_book_as(dest_file_name=self.testfile4, bookdict=self.content4) def test_split_a_book(self): pe.cookbook.split_a_book(self.testfile4, "extracted.csv") assert os.path.exists("Sheet1_extracted.csv") assert os.path.exists("Sheet2_extracted.csv") assert os.path.exists("Sheet3_extracted.csv") def test_split_a_book_2(self): """use default output file name""" pe.cookbook.split_a_book(self.testfile4) assert os.path.exists("Sheet1_%s" % self.testfile4) assert os.path.exists("Sheet2_%s" % self.testfile4) assert os.path.exists("Sheet3_%s" % self.testfile4) def test_extract_a_book(self): pe.cookbook.extract_a_sheet_from_a_book( self.testfile4, "Sheet1", "extracted.csv" ) assert os.path.exists("Sheet1_extracted.csv") def test_extract_a_book_2(self): """Use default output file name""" pe.cookbook.extract_a_sheet_from_a_book(self.testfile4, "Sheet1") assert os.path.exists("Sheet1_%s" % self.testfile4) def tearDown(self): file_list = [ self.testfile4, "Sheet1_extracted.csv", "Sheet2_extracted.csv", "Sheet3_extracted.csv", "Sheet1_multiple_sheets.xls", "Sheet2_multiple_sheets.xls", "Sheet3_multiple_sheets.xls", ] clean_up_files(file_list) class TestCookbook: def setUp(self): """ Make a test csv file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ self.testfile = "test1.xls" self.content = { "X": [1, 2, 3, 4, 5], "Y": [6, 7, 8, 9, 10], "Z": [11, 12, 13, 14, 15], } pe.save_as(dest_file_name=self.testfile, adict=self.content) self.testfile2 = "test.csv" self.content2 = { "O": [1, 2, 3, 4, 5], "P": [6, 7, 8, 9, 10], "Q": [11, 12, 13, 14, 15], } pe.save_as(dest_file_name=self.testfile2, adict=self.content2) self.testfile3 = "test.xls" self.content3 = { "R": [1, 2, 3, 4, 5], "S": [6, 7, 8, 9, 10], "T": [11, 12, 13, 14, 15], } pe.save_as(dest_file_name=self.testfile3, adict=self.content3) self.testfile4 = "multiple_sheets.xls" self.content4 = { "Sheet1": [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]], "Sheet2": [[4, 4, 4, 4], [5, 5, 5, 5], [6, 6, 6, 6]], "Sheet3": [[u"X", u"Y", u"Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]], } pe.save_book_as(dest_file_name=self.testfile4, bookdict=self.content4) @raises(ValueError) def test_update_columns(self): bad_column = {"A": [31, 1, 1, 1, 1]} # try non-existent column first pe.cookbook.update_columns(self.testfile, bad_column) @raises(NotImplementedError) def test_update_columns2(self): custom_column = {"Z": [33, 44, 55, 66, 77]} pe.cookbook.update_columns(self.testfile, custom_column) r = pe.SeriesReader("pyexcel_%s" % self.testfile) data = r.dict assert data["Z"] == custom_column["Z"] pe.cookbook.update_columns(self.testfile, custom_column, "test4.xls") r = pe.SeriesReader("test4.xls") data = r.dict assert data["Z"] == custom_column["Z"] # test if it try not overwrite a file pe.cookbook.update_columns(self.testfile, custom_column) # bang def test_update_rows(self): bad_column = {100: [31, 1, 1, 1, 1]} custom_column = {"1": [3, 4]} try: # try non-existent column first pe.cookbook.update_rows(self.testfile, bad_column) assert 1 == 2 except ValueError: assert 1 == 1 pe.cookbook.update_rows(self.testfile, custom_column) r = pe.Reader("pyexcel_%s" % self.testfile) assert custom_column["1"] == r.row_at(1)[1:] try: # try not to overwrite a file pe.cookbook.update_rows(self.testfile, custom_column) r = pe.SeriesReader("pyexcel_%s" % self.testfile) assert 1 == 2 except NotImplementedError: assert 1 == 1 pe.cookbook.update_rows(self.testfile, custom_column, "test4.xls") r = pe.Reader("test4.xls") assert custom_column["1"] == r.row_at(1)[1:] @raises(NotImplementedError) def test_merge_two_files(self): pe.cookbook.merge_two_files(self.testfile, self.testfile2) r = pe.SeriesReader("pyexcel_merged.csv") r.format(int) content = {} content.update(self.content) content.update(self.content2) eq_(r.dict, content) pe.cookbook.merge_two_files(self.testfile, self.testfile2) # bang @raises(NotImplementedError) def test_merge_files(self): file_array = [self.testfile, self.testfile2, self.testfile3] pe.cookbook.merge_files(file_array) r = pe.SeriesReader("pyexcel_merged.csv") r.format(int) content = {} content.update(self.content) content.update(self.content2) content.update(self.content3) eq_(r.dict, content) pe.cookbook.merge_files(file_array) # bang, do not overwrite @raises(NotImplementedError) def test_merge_two_readers(self): r1 = pe.SeriesReader(self.testfile) r2 = pe.SeriesReader(self.testfile2) pe.cookbook.merge_two_readers(r1, r2) r = pe.SeriesReader("pyexcel_merged.csv") r.format(int) content = {} content.update(self.content) content.update(self.content2) eq_(r.dict, content) pe.cookbook.merge_two_readers(r1, r2) # bang, do not overwrite @raises(NotImplementedError) def test_merge_readers(self): r1 = pe.SeriesReader(self.testfile) r2 = pe.SeriesReader(self.testfile2) r3 = pe.SeriesReader(self.testfile3) file_array = [r1, r2, r3] pe.cookbook.merge_readers(file_array) r = pe.SeriesReader("pyexcel_merged.csv") r.format(int) content = {} content.update(self.content) content.update(self.content2) content.update(self.content3) eq_(r.dict, content) pe.cookbook.merge_readers(file_array) # bang, do not overwrite def test_merge_two_row_filter_hat_readers(self): r1 = pe.SeriesReader(self.testfile) r2 = pe.SeriesReader(self.testfile2) pe.cookbook.merge_two_readers(r1, r2) r = pe.SeriesReader("pyexcel_merged.csv") r.format(int) content = {} content.update(self.content) content.update(self.content2) eq_(r.dict, content) def test_merge_any_files_to_a_book(self): file_array = [ self.testfile, self.testfile2, self.testfile3, self.testfile4, ] pe.cookbook.merge_all_to_a_book(file_array, "merged.xlsx") r = pe.BookReader("merged.xlsx") r[self.testfile].name_columns_by_row(0) content = r[self.testfile].to_dict() assert content == self.content r[self.testfile2].format(int) r[self.testfile2].name_columns_by_row(0) content2 = r[self.testfile2].to_dict() assert content2 == self.content2 r[self.testfile3].name_columns_by_row(0) content3 = r[self.testfile3].to_dict() assert content3 == self.content3 content4 = r["Sheet1"].to_array() assert content4 == self.content4["Sheet1"] content5 = r["Sheet2"].to_array() assert content5 == self.content4["Sheet2"] content6 = r["Sheet3"].to_array() assert content6 == self.content4["Sheet3"] def test_merge_csv_files_to_a_book(self): file_array = [self.testfile, self.testfile2, self.testfile3] pe.cookbook.merge_csv_to_a_book(file_array, "merged.xlsx") r = pe.BookReader("merged.xlsx") r[self.testfile].name_columns_by_row(0) content = r[self.testfile].to_dict() assert content == self.content r[self.testfile2].format(int) r[self.testfile2].name_columns_by_row(0) content2 = r[self.testfile2].to_dict() assert content2 == self.content2 r[self.testfile3].name_columns_by_row(0) content3 = r[self.testfile3].to_dict() assert content3 == self.content3 def tearDown(self): file_list = [ self.testfile, self.testfile2, self.testfile3, self.testfile4, "pyexcel_%s" % self.testfile, "pyexcel_merged.csv", "merged.xlsx", "merged.xls", "test4.xls", ] clean_up_files(file_list) pyexcel-0.7.0/tests/test_django_related_functions.py000066400000000000000000000170521420202037400227730ustar00rootroot00000000000000import pyexcel as pe from _compact import OrderedDict from nose.tools import eq_, raises class Attributable: def __init__(self, adict): self.mydict = adict def __getattr__(self, field): return self.mydict[field] class Objects: def __init__(self): self.objs = None def bulk_create(self, objs, batch_size): self.objs = objs self.batch_size = batch_size def all(self): return [Attributable(o) for o in self.objs] class Field: def __init__(self, name): self.attname = name class Meta: instance = 1 def __init__(self): self.model_name = "Sheet%d" % Meta.instance self.concrete_fields = [] Meta.instance = Meta.instance + 1 def update(self, data): for f in data: self.concrete_fields.append(Field(f)) class FakeDjangoModel: def __init__(self, model_name=None): self.objects = Objects() self._meta = Meta() if model_name: self._meta.model_name = model_name def __call__(self, **keywords): return keywords def save(self): pass class TestVerticalSheet: def setUp(self): self.data = [["X", 1, 4], ["Y", 2, 5], ["Z", 3, 6]] self.result = [{"Y": 2, "X": 1, "Z": 3}, {"Y": 5, "X": 4, "Z": 6}] def test_model_save_to_django_model(self): model = FakeDjangoModel() pe.save_as( array=self.data, name_columns_by_row=0, dest_model=model, transpose_before=True, ) assert model.objects.objs == self.result def test_mapping_array(self): data2 = [["A", 1, 4], ["B", 2, 5], ["C", 3, 6]] mapdict = ["X", "Y", "Z"] model = FakeDjangoModel() pe.save_as( array=data2, name_columns_by_row=0, dest_model=model, dest_mapdict=mapdict, transpose_before=True, ) assert model.objects.objs == self.result def test_mapping_dict(self): """ for vertical sheet, first transpose it and then name columns by row 0 """ data2 = [["A", 1, 4], ["B", 2, 5], ["C", 3, 6]] mapdict = {"C": "Z", "A": "X", "B": "Y"} model = FakeDjangoModel() pe.save_as( array=data2, dest_model=model, dest_mapdict=mapdict, name_columns_by_row=0, transpose_before=True, ) eq_(model.objects.objs, self.result) class TestSheet: def setUp(self): self.data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] self.result = [{"Y": 2, "X": 1, "Z": 3}, {"Y": 5, "X": 4, "Z": 6}] def test_sheet_save_to_django_model(self): model = FakeDjangoModel() sheet = pe.Sheet(self.data, name_columns_by_row=0) sheet.save_to_django_model(model) assert model.objects.objs == self.result def test_sheet_save_to_django_model_3(self): model = FakeDjangoModel() sheet = pe.Sheet(self.data) sheet.name_columns_by_row(0) def wrapper(row): row[0] = row[0] + 1 return row sheet.save_to_django_model(model, initializer=wrapper) assert model.objects.objs == [ {"Y": 2, "X": 2, "Z": 3}, {"Y": 5, "X": 5, "Z": 6}, ] def test_model_save_to_django_model(self): model = FakeDjangoModel() pe.save_as(array=self.data, name_columns_by_row=0, dest_model=model) assert model.objects.objs == self.result def test_model_save_to_django_model_2(self): model = FakeDjangoModel() pe.save_as(array=self.data, dest_model=model, name_columns_by_row=0) assert model.objects.objs == self.result def test_load_sheet_from_django_model(self): model = FakeDjangoModel() sheet = pe.Sheet(self.data, name_columns_by_row=0) sheet.save_to_django_model(model) assert model.objects.objs == self.result model._meta.update(["X", "Y", "Z"]) sheet2 = pe.get_sheet(model=model, sheet_name="test") sheet2.name_columns_by_row(0) assert sheet2.name == "test" eq_(list(sheet2.to_records()), list(sheet.to_records())) def test_mapping_array(self): data2 = [["A", "B", "C"], [1, 2, 3], [4, 5, 6]] mapdict = ["X", "Y", "Z"] model = FakeDjangoModel() pe.save_as( array=data2, name_columns_by_row=0, dest_model=model, dest_mapdict=mapdict, ) assert model.objects.objs == self.result @raises(Exception) def test_mapping_array_exceptional_case(self): data2 = [["A", "B", "C"], [1, 2, 3], [4, 5, 6]] mapdict = ["X", "Y", "Z"] model = FakeDjangoModel() pe.save_as(array=data2, dest_model=model, dest_mapdict=mapdict) assert model.objects.objs == self.result def test_mapping_dict(self): data2 = [["A", "B", "C"], [1, 2, 3], [4, 5, 6]] mapdict = {"C": "Z", "A": "X", "B": "Y"} model = FakeDjangoModel() pe.save_as( array=data2, name_columns_by_row=0, dest_model=model, dest_mapdict=mapdict, ) eq_(model.objects.objs, self.result) class TestBook: def setUp(self): self.content = OrderedDict() self.content.update( {"Sheet1": [[u"X", u"Y", u"Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]]} ) self.content.update( {"Sheet2": [[u"A", u"B", u"C"], [1, 4, 7], [2, 5, 8], [3, 6, 9]]} ) self.result1 = [ {"Y": 4, "X": 1, "Z": 7}, {"Y": 5, "X": 2, "Z": 8}, {"Y": 6, "X": 3, "Z": 9}, ] self.result2 = [ {"B": 4, "A": 1, "C": 7}, {"B": 5, "A": 2, "C": 8}, {"B": 6, "A": 3, "C": 9}, ] def test_book_save_to_models(self): model1 = FakeDjangoModel("Sheet1") model2 = FakeDjangoModel("Sheet2") book = pe.Book(self.content) book.save_to_django_models([model1, model2]) assert model1.objects.objs == self.result1 assert model2.objects.objs == self.result2 @raises(AttributeError) def test_book_save_to_models_with_bulk_save_false(self): """ same to previous test but with different parameters """ model1 = FakeDjangoModel("Sheet1") model2 = FakeDjangoModel("Sheet2") book = pe.Book(self.content) book.save_to_django_models([model1, model2], bulk_save=False) def test_model_save_to_models(self): model = FakeDjangoModel("Sheet1") data = { "Sheet1": [[u"X", u"Y", u"Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]] } pe.save_book_as(dest_models=[model, None, None], bookdict=data) assert model.objects.objs == self.result1 def test_load_book_from_django_model(self): # if a book has more than one sheet # and it saves to only one model, now it will fail # with an exception. model = FakeDjangoModel("Sheet1") book = pe.Book( {"Sheet1": [[u"X", u"Y", u"Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]]} ) book.save_to_django_models([model]) assert model.objects.objs == self.result1 model._meta.update(["X", "Y", "Z"]) book2 = pe.get_book(models=[model]) assert book2[0].to_array() == book[0].to_array() @raises(Exception) def test_more_sheets_than_models(self): self.content.update({"IgnoreMe": [[1, 2, 3]]}) model = FakeDjangoModel("Sheet1") pe.save_book_as(dest_models=[model], bookdict=self.content) pyexcel-0.7.0/tests/test_examples.py000066400000000000000000000067621420202037400175650ustar00rootroot00000000000000import os import imp import sys import glob import json from unittest import TestCase import pyexcel as pe PY2 = sys.version_info[0] == 2 def load_from_file(mod_name, file_ext, expected_main="main"): func_inst = None py_mod = None py_mod = imp.load_source(mod_name, os.path.join(mod_name, file_ext)) if py_mod is not None and hasattr(py_mod, expected_main): func_inst = getattr(py_mod, expected_main) return func_inst class TestAllExamples: def test_them(self): example_files = glob.glob(os.path.join("examples", "**", "*.py")) file_registry = {} for abs_file_path in example_files: if "pyexcel_server.py" in abs_file_path: continue if "__init__.py" in abs_file_path: continue path, file_name = os.path.split(abs_file_path) if path not in file_registry: file_registry[path] = [file_name] else: file_registry[path].append(file_name) for path in file_registry: for file_name in file_registry[path]: print("testing " + os.path.join(path, file_name)) fn = load_from_file(path, file_name) if fn is not None: fn(path) class TestPyexcelServer(TestCase): """ This test tells how difficult to test unicode vs bytes when dealing with csv files in relation to pyexcel. and this demonstrates how to deal with bytes vs unicode problem """ def setUp(self): app = load_from_file( os.path.join("examples", "memoryfile"), "pyexcel_server.py", "app" ) self.app = app.test_client() def test_upload(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] expected = {"result": {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]}} io = pe.save_as(dest_file_type="csv", array=data) io.seek(0) if not PY2: # have to convert it to bytesio # because python 3 socket sends only bytes from io import BytesIO nio = BytesIO() # to convert str to bytes is to do a encode nio.write(io.getvalue().encode("utf-8")) io = nio io.seek(0) response = self.app.post( "/upload", buffered=True, data={"excel": (io, "test.csv")}, content_type="multipart/form-data", ) if PY2: self.assertEqual(json.loads(response.data), expected) else: # for the same reason, python 3 socket receve bytes # to convert bytes to str is to do a decode self.assertEqual( json.loads(response.data.decode("utf-8")), expected ) def test_download(self): response = self.app.get("/download") ret = pe.get_array(file_type="csv", file_content=response.data) print(ret) self.assertEqual( ret, [ ["REVIEW_DATE", "AUTHOR", "ISBN", "DISCOUNTED_PRICE"], ["1985/01/21", "Douglas Adams", "0345391802", 5.95], ["1990/01/12", "Douglas Hofstadter", "0465026567", 9.95], [ "1998/07/15", 'Timothy "The Parser" Campbell', "0968411304", 18.99, ], ["1999/12/03", "Richard Friedman", "0060630353", 5.95], ["2004/10/04", "Randel Helms", "0879755725", 4.5], ], ) pyexcel-0.7.0/tests/test_exploitation.py000066400000000000000000000151701420202037400204570ustar00rootroot00000000000000import os import pyexcel as pe from nose.tools import eq_ class TestIrregularities: def setUp(self): self.testfile = "test.xlsm" self.content = [ [1, "", "", "", "", ""], [1, 2, "", "", "", ""], [1, 2, 3, "", "", ""], [1, 2, 3, 4, "", ""], [1, 2, 3, 4, 5, ""], [1, 2, 3, 4, 5, 6], [1, "", "", "", "", ""], [1, 2, "", "", "", ""], [1, 2, 3, "", "", ""], [1, 2, 3, 4, "", ""], [1, 2, 3, 4, 5, ""], ] pe.save_as(dest_file_name=self.testfile, array=self.content) def test_irregular_data_file(self): r = pe.get_sheet(file_name=self.testfile) result = list(r.rows()) assert result == self.content def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestIrregularities2: def setUp(self): self.testfile = "test.xlsm" self.content = { "Series_6": ["", "", "", "", "", 6.0], "Series_5": ["", "", "", "", "", 5.0, 5.0, "", "", ""], "Series_4": ["", "", "", 4.0, 4.0, 4.0, "", "", "", 4.0, 4.0], "Series_3": ["", "", 3.0, 3.0, 3.0, 3.0, "", "", 3.0, 3.0, 3.0], "Series_2": ["", 2.0, 2.0, 2.0, 2.0, 2.0], "Series_1": [1.0], } pe.save_as( dest_file_name=self.testfile, adict=self.content, skip_empty_rows=False, ) def test_write_irregular_dict_to_file(self): r = pe.get_sheet(file_name=self.testfile, skip_empty_rows=False) r.name_columns_by_row(0) actual = [ [ "Series_1", "Series_2", "Series_3", "Series_4", "Series_5", "Series_6", ], [1, "", "", "", "", ""], ["", 2, "", "", "", ""], ["", 2, 3, "", "", ""], ["", 2, 3, 4, "", ""], ["", 2, 3, 4, "", ""], ["", 2, 3, 4, 5, 6], ["", "", "", "", 5, ""], ["", "", "", "", "", ""], ["", "", 3, "", "", ""], ["", "", 3, 4, "", ""], ["", "", 3, 4, "", ""], ] print(r.array) print(actual) for r1, r2 in zip(actual, r.array): eq_(r1, r2) def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestIrregularities10: def setUp(self): self.testfile = "test.xlsm" self.content = [ [1.0], ["", 2.0, 2.0, 2.0, 2.0, 2.0], ["", "", 3.0, 3.0, 3.0, 3.0, "", "", 3.0, 3.0, 3.0], ["", "", "", 4.0, 4.0, 4.0, "", "", "", 4.0, 4.0], ["", "", "", "", "", 5.0, 5.0, "", "", ""], ["", "", "", "", "", 6.0], ] sheet = pe.get_sheet(array=self.content) sheet.transpose() sheet.save_as(self.testfile) def test_write_irregular_arrays_to_file(self): r = pe.get_sheet(file_name=self.testfile, skip_empty_rows=False) actual = [ [1, "", "", "", "", ""], ["", 2, "", "", "", ""], ["", 2, 3, "", "", ""], ["", 2, 3, 4, "", ""], ["", 2, 3, 4, "", ""], ["", 2, 3, 4, 5, 6], ["", "", "", "", 5, ""], ["", "", "", "", "", ""], ["", "", 3, "", "", ""], ["", "", 3, 4, "", ""], ["", "", 3, 4, "", ""], ] eq_(actual, r.array) def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestIrregularities3: def setUp(self): self.testfile = "test.csv" self.content = [] pe.save_as(dest_file_name=self.testfile, array=self.content) def test_file_there(self): if os.path.exists(self.testfile): assert 1 == 1 def test_file_content(self): r = pe.get_sheet(file_name=self.testfile) result = list(r) assert result == [] def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestMultiSheetReader: def setUp(self): self.testfile = "file_with_an_empty_sheet.xlsx" def test_reader_with_correct_sheets(self): r = pe.get_book( file_name=os.path.join("tests", "fixtures", self.testfile) ) assert r.number_of_sheets() == 3 class TestEmptyCSVFile: def setUp(self): self.testfile = os.path.join("tests", "fixtures", "empty.csv") def test_number_of_columns(self): r = pe.get_sheet(file_name=self.testfile) assert r.number_of_columns() == 0 class TestNonUniformCSVFile: def setUp(self): self.testfile = os.path.join( "tests", "fixtures", "non-uniform-rows.csv" ) def test_number_of_columns(self): r = pe.get_sheet(file_name=self.testfile) assert r.number_of_columns() == 8 result = [ [1, "", "", "", "", "", "", ""], [1, 2, "", "", "", "", "", ""], [1, 2, 3, "", "", "", "", ""], [1, 2, 3, 4, "", "", "", ""], [1, 2, 3, 4, 5, "", "", ""], [1, 2, 3, 4, 5, 6, "", ""], [1, 2, 3, 4, 5, 6, 7, 8], ] eq_(result, r.array) class TestMergeFiles: def test_merge_two_csv_files(self): file1 = os.path.join( "tests", "fixtures", "test_cook_book_merge_numbers.csv" ) file2 = os.path.join( "tests", "fixtures", "test_cook_book_merge_alphabets.csv" ) file_list = [file1, file2] pe.cookbook.merge_files(file_list) r = pe.get_sheet(file_name="pyexcel_merged.csv") actual = [ [1, 2, 3, "a", "b", "c"], [4, 5, 6, "d", "e", "f"], [7, 8, 9, "g", "h", "I"], ] eq_(actual, r.array) def test_merge_two_csv_files_2(self): file1 = os.path.join( "tests", "fixtures", "test_cook_book_merge_numbers_2.csv" ) file2 = os.path.join( "tests", "fixtures", "test_cook_book_merge_alphabets_2.csv" ) file_list = [file1, file2] pe.cookbook.merge_files(file_list) r = pe.get_sheet(file_name="pyexcel_merged.csv") actual = [ [1, 2, 3, "", "", "", "", "a", "b", "c", "", ""], [4, 5, 6, 10, 11, 12, "", "d", "e", "f", "m", "q"], [7, 8, 9, "", "", "", 9, "g", "h", "I", "n", "p"], ] eq_(actual, r.array) def tearDown(self): if os.path.exists("pyexcel_merged.csv"): os.unlink("pyexcel_merged.csv") pyexcel-0.7.0/tests/test_file_type_as_attribute.py000066400000000000000000000122071420202037400224640ustar00rootroot00000000000000import os from textwrap import dedent from pyexcel import Book, Sheet, get_book from pyexcel import constants as constants from _compact import StringIO, OrderedDict from pyexcel.source import AbstractSource, MemorySourceMixin from pyexcel.plugins import SourceInfo from nose.tools import eq_, raises FIXTURE = "dummy" @SourceInfo( "source", fields=[FIXTURE], targets=(constants.BOOK, constants.SHEET), actions=(constants.WRITE_ACTION,), attributes=[FIXTURE], key=FIXTURE, ) class DummySource(AbstractSource, MemorySourceMixin): """ For a dynamically loaded plugin, you will need to create the following fields. and implement to class level functions: keywords and is_my_business. """ def __init__(self, file_type=None, file_stream=None, **keywords): if file_stream: self._content = file_stream else: self._content = StringIO() self.file_type = file_type self.keywords = keywords def write_data(self, sheet): self._content.write(FIXTURE) def _has_field(field, keywords): return field in keywords and keywords[field] is not None def test_sheet_register_presentation(): Sheet.register_presentation(FIXTURE) s = Sheet([[1, 2]]) assert s.dummy == FIXTURE def test_book_register_presentation(): Book.register_presentation(FIXTURE) b = Book({"sheet": [[1, 2]]}) assert b.dummy == FIXTURE @raises(NotImplementedError) def test_invalid_url_getter(): sheet = Sheet() sheet.csv = "a,b,c" sheet.url @raises(NotImplementedError) def test_invalid_json_setter(): sheet = Sheet() sheet.simple = "a,b,c" def test_set_csv_attribute(): sheet = Sheet() sheet.csv = "a,b,c" expected = dedent( """ csv: +---+---+---+ | a | b | c | +---+---+---+""" ).strip("\n") eq_(str(sheet), expected) def test_set_csv_attribute2(): sheet = Sheet() content = "a,b,c" sheet.set_csv(content, name_columns_by_row=0) expected = dedent( """ csv: +---+---+---+ | a | b | c | +===+===+===+ +---+---+---+""" ).strip("\n") eq_(str(sheet), expected) def test_get_csv_stream(): sheet = Sheet() sheet.csv = "a,b,c" stream = sheet.stream.csv expected = "a,b,c\r\n" eq_(stream.getvalue(), expected) def test_book_attribute(): book = get_book( file_name=os.path.join("tests", "fixtures", "test-multiple.csvz") ) expected = ( "---pyexcel:sheet1---\r\n" + "1,4,9\r\n" + "2,5,8\r\n" + "3,6,7\r\n" + "---pyexcel---\r\n" + "---pyexcel:sheet2---\r\n" + "1,4,9\r\n" + "2,5,8\r\n" + "3,6,7\r\n" + "---pyexcel---\r\n" + "---pyexcel:sheet3---\r\n" + "1,4,9\r\n" + "2,5,8\r\n" + "3,6,7\r\n" + "---pyexcel---\r\n" ) eq_(book.csv, expected) # hei, please note the following test # get csv stream stream = book.stream.csv eq_(stream.getvalue(), expected) def test_set_book_attribute(): file_name = os.path.join("tests", "fixtures", "test-multiple.csvz") with open(file_name, "rb") as f: csvz_content = f.read() book = Book() book.csvz = csvz_content expected = ( "---pyexcel:sheet1---\r\n" + "1,4,9\r\n" + "2,5,8\r\n" + "3,6,7\r\n" + "---pyexcel---\r\n" + "---pyexcel:sheet2---\r\n" + "1,4,9\r\n" + "2,5,8\r\n" + "3,6,7\r\n" + "---pyexcel---\r\n" + "---pyexcel:sheet3---\r\n" + "1,4,9\r\n" + "2,5,8\r\n" + "3,6,7\r\n" + "---pyexcel---\r\n" ) eq_(book.csv, expected) def test_set_array(): c = Sheet() test_array = [[1, 2]] c.array = test_array expected = dedent( """ pyexcel_sheet1: +---+---+ | 1 | 2 | +---+---+""" ).strip() eq_(str(c), expected) eq_(c.array, test_array) def test_set_records(): s = Sheet() test_records = [{"name": "a", "age": 11}, {"name": "b", "age": 12}] s.records = test_records expected = dedent( """ pyexcel_sheet1: +-----+------+ | age | name | +-----+------+ | 11 | a | +-----+------+ | 12 | b | +-----+------+""" ).strip() eq_(str(s), expected) s.name_columns_by_row(0) eq_(list(s.records), test_records) def test_set_dict(): s = Sheet() test_dict = {"a": [1, 2, 3], "b": [2, 3, 4]} s.dict = test_dict expected = dedent( """ pyexcel_sheet1: +---+---+ | a | b | +---+---+ | 1 | 2 | +---+---+ | 2 | 3 | +---+---+ | 3 | 4 | +---+---+""" ).strip() eq_(expected, str(s)) s.name_columns_by_row(0) eq_(s.dict, test_dict) def test_set_bookdict(): b = Book() b.bookdict = {"sheet1": [[1]], "sheet2": [[2]]} expected = dedent( """ sheet1: +---+ | 1 | +---+ sheet2: +---+ | 2 | +---+""" ).strip() eq_(str(b), expected) expected = OrderedDict([("sheet1", [[1]]), ("sheet2", [[2]])]) eq_(b.bookdict, expected) pyexcel-0.7.0/tests/test_fileio.py000066400000000000000000000015351420202037400172070ustar00rootroot00000000000000import os from textwrap import dedent import pyexcel as pe from nose.tools import eq_ def test_write_texttable(): content = [[1, 2]] test_file = "test.texttable" expected = dedent( """ pyexcel_sheet1: +---+---+ | 1 | 2 | +---+---+""" ).strip("\n") pe.save_as(array=content, dest_file_name=test_file) with open(test_file, "r") as f: written = f.read() eq_(written, expected) os.unlink(test_file) def test_write_texttable_book(): content = {"Sheet": [[1, 2]]} test_file = "test.texttable" expected = dedent( """ Sheet: +---+---+ | 1 | 2 | +---+---+""" ).strip("\n") pe.save_book_as(bookdict=content, dest_file_name=test_file) with open(test_file, "r") as f: written = f.read() eq_(written, expected) os.unlink(test_file) pyexcel-0.7.0/tests/test_formatters.py000066400000000000000000000274001420202037400201250ustar00rootroot00000000000000import datetime from unittest import TestCase from base import clean_up_files from pyexcel import SeriesReader, save_as, get_sheet from pyexcel.internal.sheets import formatters def increase_func(x): return int(x) + 1 def increase_float_func(x): return float(x) + 1 class TestToFormatFunction: def test_none_2_str(self): value = None n_value = formatters.to_format(str, value) assert n_value == "" def test_string_2_float(self): value = "11.11" n_value = formatters.to_format(float, value) assert n_value == 11.11 value = "abc" n_value = formatters.to_format(float, value) assert n_value == value def test_string_to_string(self): value = "string" n_value = formatters.to_format(str, value) assert n_value == value def test_string_2_int_format(self): value = "11" n_value = formatters.to_format(int, value) assert n_value == 11 value = "11.11111" n_value = formatters.to_format(int, value) assert n_value == 11 value = "abc" n_value = formatters.to_format(int, value) assert n_value == value def test_float_2_string_format(self): value = 1.0 n_value = formatters.to_format(str, value) assert n_value == "1.0" def test_float_2_int_format(self): value = 1.1111 n_value = formatters.to_format(int, value) assert type(n_value) == int assert n_value == 1 def test_float_2_date_format(self): value = 1.1111 n_value = formatters.to_format(datetime.datetime, value) assert type(n_value) == float assert n_value == value def test_int_2_string_format(self): value = 11 n_value = formatters.to_format(str, value) assert n_value == "11" def test_int_2_float_format(self): value = 11 n_value = formatters.to_format(float, value) assert type(n_value) == float assert n_value == value def test_int_2_date(self): value = 11 n_value = formatters.to_format(datetime.datetime, value) assert type(n_value) == int assert n_value == value def test_date_conversion(self): d = datetime.datetime.now() new_d = formatters.to_format(datetime.datetime, d) assert d == new_d new_d = formatters.to_format(str, d) assert d.strftime("%d/%m/%y") == new_d new_d = formatters.to_format(bool, d) assert d == new_d t = datetime.time(11, 11, 11) new_t = formatters.to_format(datetime.datetime, t) assert t == new_t new_t = formatters.to_format(str, t) assert t.strftime("%H:%M:%S") == new_t new_t = formatters.to_format(bool, t) assert t == new_t bad = "bad" new_d = formatters.to_format(str, bad) assert bad == new_d def test_boolean_2_date(self): value = True n_value = formatters.to_format(datetime.datetime, value) assert type(n_value) == bool assert n_value == value def test_boolean_2_float(self): value = True n_value = formatters.to_format(float, value) assert n_value == 1 def test_boolean_2_string(self): value = True n_value = formatters.to_format(str, value) assert n_value == "true" value = False n_value = formatters.to_format(str, value) assert n_value == "false" def test_empty_to_supported_types(self): value = "" n_value = formatters.to_format(float, value) assert type(n_value) == float assert n_value == 0 value = "" n_value = formatters.to_format(int, value) assert type(n_value) == int assert n_value == 0 value = "" n_value = formatters.to_format(datetime.datetime, value) assert n_value == "" def test_date_format(self): d = "11-Jan-14" n_d = formatters.to_format(datetime.datetime, d) assert d == n_d class TestColumnFormatter(TestCase): def setUp(self): self.data = { "1": [1, 2, 3, 4, 5, 6, 7, 8], "2": ["1", "2", "3", "4", "5", "6", "7", "8"], "3": [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], "4": ["1.1", "2.2", "3.3", "4.4", "5.5", "6.6", "7.7", "8.8"], "5": [2, 3, 4, 5, 6, 7, 8, 9], "6": ["2", "3", "4", "5", "6", "7", "8", "9"], } self.io = save_as(dest_file_type="xls", adict=self.data) def test_general_usage(self): r = get_sheet(file_stream=self.io, file_type="xls") r.column.format(0, str) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["2"]) def test_column_format_general_usage(self): """Test column format function""" r = get_sheet(file_stream=self.io, file_type="xls") r.column.format(0, str) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["2"]) def test_column_format_general_usage2(self): """Test column format function on demand""" r = get_sheet(file_stream=self.io, file_type="xls") r.column.format(0, str) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["2"]) def test_column_format_specs(self): r = get_sheet(file_stream=self.io, file_type="xls") r.column.format(format_specs=[[0, str], [[2, 3, 4], float]]) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["2"]) c1 = r.column_at(3)[1:] self.assertEqual(c1, self.data["3"]) def test_one_formatter_for_two_columns(self): r = get_sheet(file_stream=self.io, file_type="xls") r.column.format([0, 5], str) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["2"]) c1 = r.column_at(5)[1:] self.assertEqual(c1, self.data["6"]) def test_two_formatters(self): r = get_sheet(file_stream=self.io, file_type="xls") r.column.format(0, str) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["2"]) r.column.format(0, int) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["1"]) def test_custom_func(self): r = get_sheet(file_stream=self.io, file_type="xls") r.column.format(0, increase_func) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["5"]) def test_custom_func_with_a_general_converter(self): r = get_sheet(file_stream=self.io, file_type="xls") r.column.format(0, increase_func) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["5"]) r.column.format(0, str) c1 = r.column_at(0)[1:] self.assertEqual(c1, self.data["6"]) class TestRowFormatter(TestCase): def setUp(self): self.data = { "1": [1, 2, 3, 4, 5, 6, 7, 8], "2": ["1", "2", "3", "4", "5", "6", "7", "8"], "3": [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], "4": ["1.1", "2.2", "3.3", "4.4", "5.5", "6.6", "7,7", "8.8"], "5": [2, 3, 4, 5, 6, 7, 8, 9], "6": ["2", "3", "4", "5", "6", "7", "8", "9"], } self.testfile = "test.xls" save_as(dest_file_name=self.testfile, adict=self.data) def test_general_usage(self): """format a row""" r = get_sheet(file_name=self.testfile) r.row.format(1, str) c1 = r.row_at(1) c2 = ["1", "1", "1.1", "1.1", "2", "2"] self.assertEqual(c1, c2) def test_general_usage2(self): """format a row""" r = get_sheet(file_name=self.testfile) r.row.format(1, str) c1 = r.row_at(1) c2 = ["1", "1", "1.1", "1.1", "2", "2"] self.assertEqual(c1, c2) def test_one_formatter_for_two_rows(self): """format more than one row""" r = get_sheet(file_name=self.testfile) r.row.format([1, 2], str) c1 = r.row_at(2) c2 = ["2", "2", "2.2", "2.2", "3", "3"] self.assertEqual(c1, c2) c1 = r.row_at(1) c2 = ["1", "1", "1.1", "1.1", "2", "2"] self.assertEqual(c1, c2) def test_two_formatters(self): r = get_sheet(file_name=self.testfile) c1 = r.row_at(1) c2 = [1, "1", 1.1, "1.1", 2, "2"] self.assertEqual(c1, c2) r.row.format(1, int) r.row.format(1, str) c1 = r.row_at(1) c2 = ["1", "1", "1", "1", "2", "2"] self.assertEqual(c1, c2) def test_two_formatters_with_row_fomat(self): r = get_sheet(file_name=self.testfile) c1 = r.row_at(1) c2 = [1, "1", 1.1, "1.1", 2, "2"] self.assertEqual(c1, c2) r.row.format(format_specs=[[1, int], [1, str]]) c1 = r.row_at(1) c2 = ["1", "1", "1", "1", "2", "2"] self.assertEqual(c1, c2) def test_two_formatters_with_row_fomat_custom_func(self): r = get_sheet(file_name=self.testfile) c1 = r.row_at(1) c2 = [1, "1", 1.1, "1.1", 2, "2"] self.assertEqual(c1, c2) r.row.format(format_specs=[[1, increase_float_func], [1, str]]) c1 = r.row_at(1) c2 = ["2.0", "2.0", "2.1", "2.1", "3.0", "3.0"] self.assertEqual(c1, c2) def test_custom_func(self): r = get_sheet(file_name=self.testfile) r.row.format(1, increase_float_func) c1 = r.row_at(1) c2 = [2.0, 2.0, 2.1, 2.1, 3.0, 3.0] self.assertEqual(c1, c2) def test_custom_func_with_a_general_converter(self): r = get_sheet(file_name=self.testfile) r.row.format(1, increase_float_func) c1 = r.row_at(1) c2 = [2.0, 2.0, 2.1, 2.1, 3.0, 3.0] self.assertEqual(c1, c2) r.row.format(1, str) c1 = r.row_at(1) c2 = ["2.0", "2.0", "2.1", "2.1", "3.0", "3.0"] self.assertEqual(c1, c2) def tearDown(self): clean_up_files([self.testfile]) class TestSheetFormatter(TestCase): def setUp(self): self.data = { "1": [1, 2, 3, 4, 5, 6, 7, 8], "3": [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], "5": [2, 3, 4, 5, 6, 7, 8, 9], "7": [1, ""], } self.testfile = "test.xls" save_as(dest_file_name=self.testfile, adict=self.data) def test_general_usage(self): r = SeriesReader(file_name=self.testfile) r.format(str) data = [ ["1", "2", "3", "4", "5", "6", "7", "8"], ["1.1", "2.2", "3.3", "4.4", "5.5", "6.6", "7.7", "8.8"], ] c1 = r.column_at(0) self.assertEqual(c1, data[0]) c1 = r.column_at(1) self.assertEqual(c1, data[1]) def test_two_formatters(self): r = get_sheet(file_name=self.testfile) r.format(str) r.format(int) c1 = r.row_at(0) c2 = [1, 3, 5, 7] self.assertEqual(c1, c2) def test_custom_func(self): r = get_sheet(file_name=self.testfile) r.format(float) r.map(increase_float_func) c1 = r.row_at(1) c2 = [2.0, 2.1, 3.0, 2.0] self.assertEqual(c1, c2) c1 = r.row_at(2) c2 = [3, 3.2, 4, 1.0] self.assertEqual(c1, c2) def test_custom_func2(self): r = get_sheet(file_name=self.testfile) r.format(float) r.map(increase_float_func) c1 = r.row_at(1) c2 = [2.0, 2.1, 3.0, 2.0] self.assertEqual(c1, c2) c1 = r.row_at(2) c2 = [3, 3.2, 4, 1.0] self.assertEqual(c1, c2) def test_custom_func_with_a_general_converter(self): r = get_sheet(file_name=self.testfile) r.format(float) r.map(increase_float_func) r.format(str) c1 = r.row_at(1) c2 = ["2.0", "2.1", "3.0", "2.0"] self.assertEqual(c1, c2) c1 = r.row_at(2) c2 = ["3.0", "3.2", "4.0", "1.0"] self.assertEqual(c1, c2) def tearDown(self): clean_up_files([self.testfile]) pyexcel-0.7.0/tests/test_gabagecollector.py000066400000000000000000000011041420202037400210450ustar00rootroot00000000000000import os from pyexcel import iget_array from pyexcel.internal import garbagecollector as gc from nose.tools import eq_ def test_gc(): gc.free_resources() data = iget_array( file_name=os.path.join("tests", "fixtures", "bug_01.csv") ) data = list(data) eq_(len(gc.GARBAGE), 1) gc.free_resources() assert len(gc.GARBAGE) == 0 def test_gc_custom(): gc.free_resources() f = open(os.path.join("tests", "fixtures", "bug_01.csv"), "r") gc.append(f) eq_(len(gc.GARBAGE), 1) gc.free_resources() assert len(gc.GARBAGE) == 0 pyexcel-0.7.0/tests/test_http_source.py000066400000000000000000000031421420202037400202730ustar00rootroot00000000000000from textwrap import dedent from unittest import TestCase from unittest.mock import MagicMock, patch import pyexcel as pe from pyexcel._compact import PY2, BytesIO, StringIO class TestHttpBookSource(TestCase): def setUp(self): self.patcher = patch("pyexcel._compact.request.urlopen") mock_open = self.patcher.start() self.mocked_info = MagicMock() if PY2: io = StringIO("1,2,3") else: io = BytesIO("1,2,3".encode("utf-8")) io.info = self.mocked_info mock_open.return_value = io def tearDown(self): self.patcher.stop() def test_url_source_via_content_type(self): book = pe.get_book(url="xx.csv") if PY2: self.mocked_info.type.return_value = "text/csv" else: self.mocked_info.get_content_type.return_value = "text/csv" content = dedent( """ csv: +---+---+---+ | 1 | 2 | 3 | +---+---+---+""" ).strip("\n") self.assertEqual(str(book), content) def test_url_source_via_file_suffix(self): book = pe.get_book(url="xx.csv") content = dedent( """ csv: +---+---+---+ | 1 | 2 | 3 | +---+---+---+""" ).strip("\n") self.assertEqual(str(book), content) def test_url_source_via_file_suffix_get_sheet(self): sheet = pe.get_sheet(url="xx.csv") content = dedent( """ csv: +---+---+---+ | 1 | 2 | 3 | +---+---+---+""" ).strip("\n") self.assertEqual(str(sheet), content) pyexcel-0.7.0/tests/test_internals.py000066400000000000000000000005251420202037400177350ustar00rootroot00000000000000from unittest.mock import MagicMock from pyexcel._compact import PY2 from pyexcel.internal.core import _seek_at_zero def test_seek_at_zero(): stream = MagicMock() if PY2: stream.seek.side_effect = IOError() else: import io stream.seek.side_effect = io.UnsupportedOperation() _seek_at_zero(stream) pyexcel-0.7.0/tests/test_iterator.py000066400000000000000000000327571420202037400176030ustar00rootroot00000000000000import os import copy import datetime from base import PyexcelIteratorBase, create_sample_file2 from pyexcel import Reader, SeriesReader, save_as, get_sheet from pyexcel.internal.sheets import Matrix, _shared from nose.tools import eq_, raises class TestMatrixColumn: def setUp(self): self.data = [[1, 2, 3, 4, 5, 6], [1, 2, 3, 4], [1]] self.data3 = [[1, 1], [2, 2]] self.result = [ [1, 2, 3, 4, 5, 6, 1, 2], [1, 2, 3, 4, "", "", 1, 2], [1, "", "", "", "", "", "", ""], ] def test_to_array(self): m = Matrix(self.data) result = [ [1, 2, 3, 4, 5, 6], [1, 2, 3, 4, "", ""], [1, "", "", "", "", ""], ] eq_(result, m.get_internal_array()) def test_get_slice_of_columns(self): m = Matrix(self.data) data = m.column[:2] assert data == [[1, 1, 1], [2, 2, ""]] @raises(IndexError) def test_get_with_a_wrong_column_index(self): """Get with a wrong index""" m = Matrix(self.data) m.column[1.11] # bang, string type index @raises(IndexError) def test_delete_with_a_wrong_column_index(self): """Get with a wrong index""" m = Matrix(self.data) del m.column[1.11] # bang, string type index @raises(IndexError) def test_set_column_with_a_wrong_column_index(self): """Get with a wrong index""" m = Matrix(self.data) m.column[1.11] = 1 # bang, string type index @raises(IndexError) def test_get_with_a_wrong_index(self): """Get with a wrong index""" m = Matrix(self.data) m[1.1] # bang, @raises(IndexError) def test_set_with_a_wrong_index(self): """Get with a wrong index""" m = Matrix(self.data) m[1.1] = 1 # bang, def test_extend_columns(self): """Test extend columns""" m = Matrix(self.data) m.extend_columns(self.data3) eq_(self.result, m.get_internal_array()) def test_extend_column(self): """test extend just one column""" m = Matrix(self.data) m.extend_columns([1, 1]) assert m.row[0] == self.result[0][:7] @raises(TypeError) def test_extend_columns2(self): """Test extend columns""" m = Matrix(self.data) m.extend_columns(1.1) def test_iadd_list(self): """Test in place add a list""" m2 = Matrix(self.data) m2.column += self.data3 eq_(self.result, m2.get_internal_array()) def test_add(self): """Test operator add overload""" # + m3 = Matrix(self.data) m4 = m3.column + self.data3 eq_(self.result, m4.get_internal_array()) def test_iadd_matrix(self): """Test in place add a matrix""" m5 = Matrix(copy.deepcopy(self.data)) m6 = Matrix(copy.deepcopy(self.data)) m7 = m5.column + m6 result2 = [ [1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [1, 2, 3, 4, "", "", 1, 2, 3, 4, "", ""], [1, "", "", "", "", "", 1, "", "", "", "", ""], ] eq_(result2, m7.get_internal_array()) @raises(TypeError) def test_type_error(self): m = Matrix(self.data) m.column += 12 # bang, cannot add integers def test_delete_columns(self): r = Matrix(self.data) # delete a list of indices r.delete_columns([0, 2]) assert r.row[0] == [2, 4, 5, 6] @raises(TypeError) def test_delete_wrong_type(self): r = Matrix(self.data) r.delete_columns("hi") # bang, cannot delete columns named as string def test_delete_one_index(self): m = Matrix(self.data) del m.column[0] assert m.row[0] == [2, 3, 4, 5, 6] del m.column["A"] assert m.row[0] == [3, 4, 5, 6] def test_delete_a_slice(self): m = Matrix(self.data) del m.column[0:2] assert m.row[0] == [3, 4, 5, 6] def test_set_columns(self): matrix = Matrix(self.data) content = ["r", "s", "t", "o"] matrix.column[1] = content assert matrix.column[1] == content assert matrix.column[0] == [1, 1, 1, ""] matrix.column["B"] = ["p", "q", "r"] eq_(matrix.column["B"], ["p", "q", "r", "o"]) def test_set_a_slice_of_column(self): r = Matrix(self.data) content2 = [1, 2, 3, 4] r.column[1:] = content2 assert r.column[2] == content2 def test_set_a_special_slice(self): r = Matrix(self.data) content3 = [True, False, True, False] r.column[0:0] = content3 assert r.column[0] == content3 def test_a_stepper_in_a_slice(self): r = Matrix(self.data) r.column[0:2:1] = [1, 1, 1, 1] assert r.column[0] == [1, 1, 1, 1] assert r.column[1] == [1, 1, 1, 1] assert r.column[2] == [3, 3, "", ""] def test_set_an_invalid_slice(self): m = Matrix(self.data) try: m.column[2:1] = ["e", "r", "r", "o"] assert 1 == 2 except ValueError: assert 1 == 1 class TestMatrixRow: def setUp(self): self.data = [ ["a", "b", "c", "d"], ["e", "f", "g", "h"], ["i", "j", 1.1, 1], ] self.content = [ ["r", "s", "t", "o"], [1, 2, 3, 4], [True], [1.1, 2.2, 3.3, 4.4, 5.5], ] def test_extend_rows(self): r = Matrix(self.data) r.extend_rows(self.content) assert r.row[3] == ["r", "s", "t", "o", ""] assert r.row[4] == [1, 2, 3, 4, ""] assert r.row[5] == [True, "", "", "", ""] assert r.row[6] == [1.1, 2.2, 3.3, 4.4, 5.5] @raises(TypeError) def test_extend_rows_error_input(self): r = Matrix(self.data) r.extend_rows(102) def test_iadd(self): """Test in place add""" r2 = Matrix(self.data) r2.row += self.content assert r2.row[3] == ["r", "s", "t", "o", ""] assert r2.row[4] == [1, 2, 3, 4, ""] assert r2.row[5] == [True, "", "", "", ""] assert r2.row[6] == [1.1, 2.2, 3.3, 4.4, 5.5] def test_iadd_matrix(self): """Test in place add""" r2 = Matrix(self.data) r3 = Matrix(self.content) r2.row += r3 assert r2.row[3] == ["r", "s", "t", "o", ""] assert r2.row[4] == [1, 2, 3, 4, ""] assert r2.row[5] == [True, "", "", "", ""] assert r2.row[6] == [1.1, 2.2, 3.3, 4.4, 5.5] def test_add(self): r3 = Matrix(self.data) r3 = r3.row + self.content assert r3.row[3] == ["r", "s", "t", "o", ""] assert r3.row[4] == [1, 2, 3, 4, ""] assert r3.row[5] == [True, "", "", "", ""] assert r3.row[6] == [1.1, 2.2, 3.3, 4.4, 5.5] @raises(TypeError) def test_type_error(self): m = Matrix(self.data) m.row += 12 # bang, cannot add integer def test_delete_a_index(self): """Delete a index""" r = Matrix(self.data) content = ["i", "j", 1.1, 1] assert r.row[2] == content del r.row[0] assert r.row[1] == content def test_delete_a_slice(self): """Delete a slice""" r2 = Matrix(self.data) del r2.row[1:] assert r2.number_of_rows() == 1 def test_delete_special_slice(self): r3 = Matrix(self.data) content = ["i", "j", 1.1, 1] del r3.row[0:0] assert r3.row[1] == content assert r3.number_of_rows() == 2 def test_delete_an_invalid_slice(self): m = Matrix(self.data) try: del m.row[2:1] assert 1 == 2 except ValueError: assert 1 == 1 def test_set_a_row(self): r = Matrix(self.data) content = ["r", "s", "t", "o"] r.row[1] = content assert r.row[1] == content def test_set_using_a_slice(self): """Set a list of rows""" r = Matrix(self.data) content2 = [1, 2, 3, 4] r.row[1:] = content2 assert r.row[2] == [1, 2, 3, 4] def test_a_special_slice(self): r = Matrix(self.data) content3 = [True, False, True, False] r.row[0:0] = content3 assert r.row[0] == [True, False, True, False] def test_a_stepper_in_a_slice(self): r = Matrix(self.data) r.row[0:2:1] = [1, 1, 1, 1] assert r.row[0] == [1, 1, 1, 1] assert r.row[1] == [1, 1, 1, 1] assert r.row[2] == ["i", "j", 1.1, 1] def test_a_wrong_slice(self): r = Matrix(self.data) try: r.row[2:1] = ["e", "r", "r", "o"] assert 1 == 2 except ValueError: assert 1 == 1 class TestMatrix: def setUp(self): self.data = [ ["a", "b", "c", "d"], ["e", "f", "g", "h"], ["i", "j", 1.1, 1], ] def test_empty_array_input(self): """Test empty array as input to Matrix""" m = Matrix([]) assert m.number_of_columns() == 0 assert m.number_of_rows() == 0 def test_update_a_cell(self): r = Matrix(self.data) r[0, 0] = "k" assert r[0, 0] == "k" d = datetime.date(2014, 10, 1) r.cell_value(0, 1, d) assert isinstance(r[0, 1], datetime.date) is True assert r[0, 1].strftime("%d/%m/%y") == "01/10/14" r["A1"] = "p" assert r[0, 0] == "p" r[0, 1] = 16 assert r["B1"] == 16 def test_old_style_access(self): r = Matrix(self.data) r[0, 0] = "k" assert r[0][0] == "k" @raises(IndexError) def test_wrong_index_type(self): r = Matrix(self.data) r["string"][0] # bang, cannot get @raises(IndexError) def test_wrong_index_type2(self): r = Matrix(self.data) r["string"] = "k" # bang, cannot set def test_transpose(self): data = [[1, 2, 3], [4, 5, 6]] result = [[1, 4], [2, 5], [3, 6]] m = Matrix(data) m.transpose() eq_(result, m.get_internal_array()) def test_set_column_at(self): r = Matrix(self.data) try: r.set_column_at(1, [11, 1], 1000) assert 1 == 2 except IndexError: assert 1 == 1 @raises(IndexError) def test_delete_rows_with_invalid_list(self): m = Matrix([]) m.delete_rows("ab") # bang, cannot delete class TestIteratableArray(PyexcelIteratorBase): def setUp(self): """ Make a test csv file as: 1,2,3,4 5,6,7,8 9,10,11,12 """ self.array = [] for i in [0, 4, 8]: array = [i + 1, i + 2, i + 3, i + 4] self.array.append(array) self.iteratable = Matrix(self.array) class TestIterator(PyexcelIteratorBase): def setUp(self): """ Make a test csv file as: 1,2,3,4 5,6,7,8 9,10,11,12 """ self.testfile = "testcsv.xlsx" create_sample_file2(self.testfile) self.iteratable = Reader(self.testfile) def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestHatIterators: def setUp(self): self.testfile = "test.xlsm" self.content = [ ["X", "Y", "Z"], [1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3], ] save_as(dest_file_name=self.testfile, array=self.content) def test_hat_column_iterator(self): r = SeriesReader(self.testfile) actual = { "X": [1, 1, 1, 1, 1], "Y": [2, 2, 2, 2, 2], "Z": [3, 3, 3, 3, 3], } eq_(r.dict, actual) def test_named_row_iterator(self): sheet = get_sheet(file_name=self.testfile, name_columns_by_row=0) for row in sheet.named_rows(): assert row == {"Y": 2, "Z": 3, "X": 1} def test_named_column_iterator(self): sheet = get_sheet(file_name=self.testfile, transpose_after=True) sheet.name_rows_by_column(0) for row in sheet.named_columns(): assert row == {"Y": 2, "Z": 3, "X": 1} def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestUtilityFunctions: def test_excel_column_index(self): chars = "" index = _shared.excel_column_index(chars) assert index == -1 chars = "Z" index = _shared.excel_column_index(chars) assert index == 25 chars = "AB" index = _shared.excel_column_index(chars) assert index == 27 chars = "AAB" index = _shared.excel_column_index(chars) eq_(index, 703) def test_excel_cell_position(self): pos_chars = "A" row, column = _shared.excel_cell_position(pos_chars) assert row == -1 assert column == -1 pos_chars = "A1" row, column = _shared.excel_cell_position(pos_chars) assert row == 0 assert column == 0 pos_chars = "AAB111" row, column = _shared.excel_cell_position(pos_chars) assert row == 110 eq_(column, 703) @raises(ValueError) def test_analyse_slice(self): a = slice(None, 3) bound = 4 expected = [0, 1, 2] result = _shared.analyse_slice(a, bound) assert expected == result a = slice(1, None) bound = 4 expected = [1, 2, 3] result = _shared.analyse_slice(a, bound) assert expected == result a = slice(2, 1) # invalid series bound = 4 result = _shared.analyse_slice(a, bound) # bang pyexcel-0.7.0/tests/test_multiple_sheets.py000066400000000000000000000425771420202037400211610ustar00rootroot00000000000000import os import pyexcel as pe from base import PyexcelMultipleSheetBase, clean_up_files, create_sample_file1 from _compact import OrderedDict from nose.tools import eq_, raises class TestXlsNXlsmMultipleSheets(PyexcelMultipleSheetBase): def setUp(self): self.testfile = "multiple1.xls" self.testfile2 = "multiple1.xlsm" self.content = _produce_ordered_dict() self._write_test_file(self.testfile) def tearDown(self): self._clean_up() class TestCSVNXlsMultipleSheets: def setUp(self): self.testfile = "multiple1.csv" self.content = _produce_ordered_dict() pe.save_book_as(dest_file_name=self.testfile, bookdict=self.content) def test_read_multiple_csv_into_book(self): book = pe.load_book(self.testfile) assert book.sheet_names() == ["Sheet1", "Sheet2", "Sheet3"] book["Sheet1"].format(int) assert self.content["Sheet1"] == book["Sheet1"].to_array() book["Sheet2"].format(int) assert self.content["Sheet2"] == book["Sheet2"].to_array() book["Sheet3"].format(int) assert self.content["Sheet3"] == book["Sheet3"].to_array() def tearDown(self): if os.path.exists("multiple1__Sheet1__0.csv"): os.unlink("multiple1__Sheet1__0.csv") if os.path.exists("multiple1__Sheet2__1.csv"): os.unlink("multiple1__Sheet2__1.csv") if os.path.exists("multiple1__Sheet3__2.csv"): os.unlink("multiple1__Sheet3__2.csv") class TestCSVzMultipleSheets: def setUp(self): self.testfile = "multiple1.csvz" self.content = _produce_ordered_dict() pe.save_book_as(dest_file_name=self.testfile, bookdict=self.content) def test_read_multiple_csv_into_book(self): book = pe.load_book(self.testfile) assert book.sheet_names() == ["Sheet1", "Sheet2", "Sheet3"] book["Sheet1"].format(int) assert self.content["Sheet1"] == book["Sheet1"].to_array() book["Sheet2"].format(int) assert self.content["Sheet2"] == book["Sheet2"].to_array() book["Sheet3"].format(int) assert self.content["Sheet3"] == book["Sheet3"].to_array() def tearDown(self): if os.path.exists("multiple1.csvz"): os.unlink("multiple1.csvz") class TestSingleSheetReaderForMulitpleSheetBook: def setUp(self): self.testfile = "multiple1.xls" self.content = _produce_ordered_dict() pe.save_book_as(dest_file_name=self.testfile, bookdict=self.content) def test_non_default_sheet_as_single_sheet_reader(self): r = pe.get_sheet(file_name=self.testfile, sheet_name="Sheet1") data = r.array assert data == self.content["Sheet1"] r2 = pe.get_sheet(file_name=self.testfile, sheet_name="Sheet2") data = r2.array assert data == self.content["Sheet2"] r3 = pe.get_sheet(file_name=self.testfile, sheet_name="Sheet3") data = r3.array assert data == self.content["Sheet3"] def test_non_default_sheet_as_single_sheet_reader_series(self): r = pe.SeriesReader(self.testfile, "Sheet3") data = list(r.rows()) assert data == self.content["Sheet3"][1:] def test_non_default_sheet_as_single_sheet_plain_reader(self): r = pe.load(self.testfile, "Sheet2") data = list(r.rows()) assert data == self.content["Sheet2"] def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestReader: def setUp(self): """ Make a test csv file as: a,b,c,d e,f,g,h i,j,1.1,1 """ self.testfile = "testcsv.csv" create_sample_file1(self.testfile) def test_csv_book_reader(self): r = pe.BookReader(self.testfile) assert r.number_of_sheets() == 1 assert r.sheet_names() == [self.testfile] def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) class TestCSVSingleSheet: def _write_test_file(self, filename, content): """ Make a test file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ pe.save_book_as(dest_file_name=filename, bookdict=content) def setUp(self): self.testfile = "multiple1.csv" self.content = _produce_ordered_dict() self._write_test_file(self.testfile, self.content) def test_load_a_single_sheet(self): b1 = pe.load_book(self.testfile, sheet_name="Sheet1") b1["Sheet1"].format(int) assert len(b1.sheet_names()) == 1 assert b1["Sheet1"].to_array() == self.content["Sheet1"] def test_load_a_single_sheet2(self): b1 = pe.load_book(self.testfile, sheet_index=1) b1["Sheet2"].format(int) assert len(b1.sheet_names()) == 1 assert b1["Sheet2"].to_array() == self.content["Sheet2"] @raises(IndexError) def test_load_a_single_sheet3(self): pe.load_book(self.testfile, sheet_index=10000) @raises(ValueError) def test_load_a_single_sheet4(self): pe.load_book(self.testfile, sheet_name="Not exist") def tearDown(self): clean_up_files( [ "multiple1__Sheet1__0.csv", "multiple1__Sheet2__1.csv", "multiple1__Sheet3__2.csv", ] ) class TestCSVZSingleSheet: def _write_test_file(self, filename, content): """ Make a test file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ pe.save_book_as(dest_file_name=filename, bookdict=content) def setUp(self): self.testfile = "multiple1.csvz" self.content = _produce_ordered_dict() self._write_test_file(self.testfile, self.content) def test_load_a_single_sheet(self): b1 = pe.load_book(self.testfile, sheet_name="Sheet1") b1["Sheet1"].format(int) assert len(b1.sheet_names()) == 1 assert b1["Sheet1"].to_array() == self.content["Sheet1"] def test_load_a_single_sheet2(self): b1 = pe.load_book(self.testfile, sheet_index=1) b1["Sheet2"].format(int) assert len(b1.sheet_names()) == 1 assert b1["Sheet2"].to_array() == self.content["Sheet2"] @raises(IndexError) def test_load_a_single_sheet3(self): pe.load_book(self.testfile, sheet_index=10000) @raises(ValueError) def test_load_a_single_sheet4(self): pe.load_book(self.testfile, sheet_name="Not exist") def tearDown(self): clean_up_files([self.testfile]) class TestAddBooks: def _write_test_file(self, filename, content): """ Make a test file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ pe.save_book_as(dest_file_name=filename, bookdict=content) def setUp(self): self.testfile = "multiple1.xlsm" self.testfile2 = "multiple1.xls" self.testfile3 = "multiple2.xlsx" self.content = _produce_ordered_dict() self._write_test_file(self.testfile, self.content) self._write_test_file(self.testfile2, self.content) self.test_single_sheet_file = "single.xls" self.content1 = {"Sheet1": [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]]} self._write_test_file(self.test_single_sheet_file, self.content1) @raises(KeyError) def test_delete_sheets(self): """Can delete by sheet name""" b1 = pe.load_book(self.testfile) assert len(b1.sheet_names()) == 3 del b1["Sheet1"] assert len(b1.sheet_names()) == 2 del b1["Sheet1"] # bang, already deleted @raises(IndexError) def test_delete_sheets2(self): """Can delete by index""" b1 = pe.load_book(self.testfile) assert len(b1.sheet_names()) == 3 del b1[2] del b1[1] assert len(b1.sheet_names()) == 1 del b1[1] # bang, already deleted @raises(TypeError) def test_delete_sheets3(self): """Test float in []""" b1 = pe.load_book(self.testfile) del b1[1.1] def test_delete_sheets4(self): """repetitively delete first sheet""" b1 = pe.load_book(self.testfile) del b1[0] assert len(b1.sheet_names()) == 2 del b1[0] assert len(b1.sheet_names()) == 1 del b1[0] assert len(b1.sheet_names()) == 0 def test_add_book1(self): """ test this scenario: book3 = book1 + book2 """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.testfile2) b3 = b1 + b2 content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 6 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] def test_add_book1_in_place(self): """ test this scenario: book1 += book2 """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.testfile2) b1 += b2 content = b1.dict sheet_names = content.keys() assert len(sheet_names) == 6 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] def test_add_book2(self): """ test this scenario: book3 = book1 + sheet3 """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.testfile2) b3 = b1 + b2["Sheet3"] content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 4 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] def test_add_book2_in_place(self): """ test this scenario: book3 = book1 + sheet3 """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.testfile2) b1 += b2["Sheet3"] content = b1.dict sheet_names = content.keys() assert len(sheet_names) == 4 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] def test_add_book3(self): """ test this scenario: book3 = sheet1 + sheet2 """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.testfile2) b3 = b1["Sheet1"] + b2["Sheet3"] content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 2 assert content["Sheet3"] == self.content["Sheet3"] assert content["Sheet1"] == self.content["Sheet1"] def test_add_book4(self): """ test this scenario: book3 = sheet1 + book """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.testfile2) b3 = b1["Sheet1"] + b2 content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 4 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] def test_add_book4_2(self): """ test this scenario: book3 = sheet1 + book use . notation """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.testfile2) b3 = b1.Sheet1 + b2 content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 4 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] def test_add_book5(self): """ test this scenario: book3 = single_sheet_book + book """ b1 = pe.BookReader(self.test_single_sheet_file) b2 = pe.BookReader(self.testfile2) b3 = b1 + b2 content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 4 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] elif "single.xls" in name: assert content[name] == self.content1["Sheet1"] def test_add_book6(self): """ test this scenario: book3 = book + single_sheet_book """ b1 = pe.BookReader(self.test_single_sheet_file) b2 = pe.BookReader(self.testfile2) b3 = b2 + b1 content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 4 for name in sheet_names: if "Sheet3" in name: assert content[name] == self.content["Sheet3"] elif "Sheet2" in name: assert content[name] == self.content["Sheet2"] elif "Sheet1" in name: assert content[name] == self.content["Sheet1"] elif "single.xls" in name: assert content[name] == self.content1["Sheet1"] def test_add_sheet(self): """ test this scenario: book3 = sheet1 + single_sheet_book """ b1 = pe.BookReader(self.testfile) b2 = pe.BookReader(self.test_single_sheet_file) b3 = b1["Sheet1"] + b2 content = b3.dict sheet_names = content.keys() assert len(sheet_names) == 2 for name in sheet_names: if "Sheet1" in name: assert content[name] == self.content["Sheet1"] elif "single.xls" in name: assert content[name] == self.content1["Sheet1"] def test_add_sheet2(self): """ test this scenario: book3 = sheet1 + single_sheet_book """ b1 = pe.BookReader(self.testfile) b3 = b1["Sheet1"] + b1["Sheet1"] b3["Sheet1"].row[0] = [3, 3, 3, 3] eq_(b1["Sheet1"].row[0], [1, 1, 1, 1]) @raises(TypeError) def test_add_book_error(self): """ test this scenario: book3 = book + integer """ b1 = pe.BookReader(self.testfile) b1 + 12 # bang, cannot add integer @raises(TypeError) def test_add_book_error2(self): b1 = pe.BookReader(self.testfile) b1 += 12 # bang cannot iadd integer @raises(TypeError) def test_add_sheet_error(self): """ test this scenario: book3 = sheet1 + integer """ b1 = pe.BookReader(self.testfile) b1["Sheet1"] + 12 # bang, cannot add integer @raises(TypeError) def test_add_sheet_error2(self): b1 = pe.BookReader(self.testfile) b1["Sheet1"] += 12 # bang, cannot iadd integer def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile) if os.path.exists(self.testfile2): os.unlink(self.testfile2) if os.path.exists(self.testfile3): os.unlink(self.testfile3) if os.path.exists(self.test_single_sheet_file): os.unlink(self.test_single_sheet_file) class TestMergeCSVsIntoOne: def test_merging(self): # set up import pyexcel as pe data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] data2 = [["a", "b", "c"], ["d", "e", "f"], ["g", "h", "i"]] data3 = [[1.1, 2.2, 3.3], [4.4, 5.5, 6.6], [7.7, 8.8, 9.9]] pe.save_as(dest_file_name="1.csv", array=data) pe.save_as(dest_file_name="2.csv", array=data2) pe.save_as(dest_file_name="3.csv", array=data3) # execute merged = pe.Sheet() for file in ["1.csv", "2.csv", "3.csv"]: r = pe.get_sheet(file_name=file) merged.row += r merged.save_as("merged.csv") r = pe.get_sheet(file_name="merged.csv") actual = r.array result = [ [1, 2, 3], [4, 5, 6], [7, 8, 9], [u"a", u"b", u"c"], [u"d", u"e", u"f"], [u"g", u"h", u"i"], [1.1, 2.2, 3.3], [4.4, 5.5, 6.6], [7.7, 8.8, 9.9], ] assert result == actual # verify os.unlink("1.csv") os.unlink("2.csv") os.unlink("3.csv") os.unlink("merged.csv") def _produce_ordered_dict(): data_dict = OrderedDict() data_dict.update({"Sheet1": [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]]}) data_dict.update({"Sheet2": [[4, 4, 4, 4], [5, 5, 5, 5], [6, 6, 6, 6]]}) data_dict.update( {"Sheet3": [[u"X", u"Y", u"Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]]} ) return data_dict pyexcel-0.7.0/tests/test_parser.py000066400000000000000000000015061420202037400172320ustar00rootroot00000000000000from pyexcel.parser import DbParser, AbstractParser from nose.tools import raises @raises(NotImplementedError) def test_default_parser(): parser = AbstractParser("xls") parser.parse_file("afile.xls") @raises(NotImplementedError) def test_default_parser_2(): parser = AbstractParser("xls") parser.parse_file_stream("afile xls stream") @raises(NotImplementedError) def test_default_parser_3(): parser = AbstractParser("xls") parser.parse_file_content("afile content") @raises(Exception) def test_dbparser(): parser = DbParser("sql") parser.parse_file("some name") @raises(Exception) def test_dbparser_1(): parser = DbParser("sql") parser.parse_file_content("some content") @raises(NotImplementedError) def test_dbparser_2(): parser = DbParser("sql") parser.parse_db("some name") pyexcel-0.7.0/tests/test_presentation.py000066400000000000000000000104431420202037400204510ustar00rootroot00000000000000from textwrap import dedent from unittest import TestCase import pyexcel as pe class TestPresentation(TestCase): def test_normal_usage(self): content = [[1, 2, 3], [4, 588, 6], [7, 8, 999]] s = pe.Sheet(content) content = dedent( """ pyexcel sheet: +---+-----+-----+ | 1 | 2 | 3 | +---+-----+-----+ | 4 | 588 | 6 | +---+-----+-----+ | 7 | 8 | 999 | +---+-----+-----+""" ).strip("\n") self.assertEqual(str(s), content) def test_irregular_usage(self): """textable doesn't like empty string """ content = [[1, 2, 3], [4, 588, 6], [7, 8]] # one empty string s = pe.Sheet(content) content = dedent( """ pyexcel sheet: +---+-----+---+ | 1 | 2 | 3 | +---+-----+---+ | 4 | 588 | 6 | +---+-----+---+ | 7 | 8 | | +---+-----+---+""" ).strip("\n") self.assertEqual(str(s), content) def test_column_series(self): content = [ ["Column 1", "Column 2", "Column 3"], [1, 2, 3], [4, 5, 6], [7, 8, 9], ] s = pe.Sheet(content, name_columns_by_row=0) print(s) content = dedent( """ pyexcel sheet: +----------+----------+----------+ | Column 1 | Column 2 | Column 3 | +==========+==========+==========+ | 1 | 2 | 3 | +----------+----------+----------+ | 4 | 5 | 6 | +----------+----------+----------+ | 7 | 8 | 9 | +----------+----------+----------+""" ).strip("\n") self.assertEqual(str(s), content) def test_data_frame(self): content = [ ["", "Column 1", "Column 2", "Column 3"], ["Row 1", 1, 2, 3], ["Row 2", 4, 5, 6], ["Row 3", 7, 8, 9], ] s = pe.Sheet(content, name_rows_by_column=0, name_columns_by_row=0) print(str(s)) content = dedent( """ pyexcel sheet: +-------+----------+----------+----------+ | | Column 1 | Column 2 | Column 3 | +=======+==========+==========+==========+ | Row 1 | 1 | 2 | 3 | +-------+----------+----------+----------+ | Row 2 | 4 | 5 | 6 | +-------+----------+----------+----------+ | Row 3 | 7 | 8 | 9 | +-------+----------+----------+----------+""" ).strip("\n") self.assertEqual(str(s), content) def test_row_series(self): content = [["Row 1", 1, 2, 3], ["Row 2", 4, 5, 6], ["Row 3", 7, 8, 9]] s = pe.Sheet(content, name_rows_by_column=0) content = dedent( """ pyexcel sheet: +-------+---+---+---+ | Row 1 | 1 | 2 | 3 | +-------+---+---+---+ | Row 2 | 4 | 5 | 6 | +-------+---+---+---+ | Row 3 | 7 | 8 | 9 | +-------+---+---+---+""" ).strip("\n") self.assertEqual(str(s), content) def test_book_presentation(self): data = { "Sheet 1": [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]], "Sheet 2": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]], "Sheet 3": [["O", "P", "Q"], [3.0, 2.0, 1.0], [4.0, 3.0, 2.0]], } book = pe.Book(data) content = dedent( """ Sheet 1: +-----+-----+-----+ | 1.0 | 2.0 | 3.0 | +-----+-----+-----+ | 4.0 | 5.0 | 6.0 | +-----+-----+-----+ | 7.0 | 8.0 | 9.0 | +-----+-----+-----+ Sheet 2: +---+---+---+ | X | Y | Z | +---+---+---+ | 1 | 2 | 3 | +---+---+---+ | 4 | 5 | 6 | +---+---+---+ Sheet 3: +-----+-----+-----+ | O | P | Q | +-----+-----+-----+ | 3.0 | 2.0 | 1.0 | +-----+-----+-----+ | 4.0 | 3.0 | 2.0 | +-----+-----+-----+""" ).strip("\n") self.assertEqual(str(book), content) pyexcel-0.7.0/tests/test_pyexcel_list.py000066400000000000000000000006011420202037400204350ustar00rootroot00000000000000from pyexcel.internal.sheets.extended_list import PyexcelList from nose.tools import eq_ def test_pyexcel_list(): words = "pyexcel is so cool".split() result_sheet = PyexcelList(words).value_counts() result = list(result_sheet.to_array()) expected = [ ["names", "cool", "is", "pyexcel", "so"], ["counts", 1, 1, 1, 1], ] eq_(expected, result) pyexcel-0.7.0/tests/test_reader.py000066400000000000000000000201071420202037400171760ustar00rootroot00000000000000import pyexcel as p from base import ( PyexcelBase, clean_up_files, create_generic_file, create_sample_file1, ) from nose.tools import eq_, raises class TestReader: def setUp(self): """ Make a test csv file as: a,b,c,d e,f,g,h i,j,1.1,1 """ self.testfile = "testcsv.csv" create_sample_file1(self.testfile) @raises(IndexError) def test_cell_value(self): r = p.Reader(self.testfile) value = r.cell_value(0, 1) assert value == "b" value = r.cell_value(100, 100) def test_row_range(self): r = p.Reader(self.testfile) row_range = r.row_range() assert len(row_range) == 3 def test_column_range(self): r = p.Reader(self.testfile) column_range = r.column_range() assert len(column_range) == 4 @raises(ValueError) def test_named_column_at(self): r = p.SeriesReader(self.testfile) data = r.named_column_at("a") assert ["e", "i"] == data r.named_column_at("A") def test_get_item_operator(self): r = p.Reader(self.testfile) value = r[0, 1] assert value == "b" @raises(IndexError) def test_row_at(self): r = p.Reader(self.testfile) value = r.row_at(2) assert value == ["i", "j", 1.1, 1] value = r.row_at(100) # bang @raises(IndexError) def test_column_at(self): r = p.Reader(self.testfile) value = r.column_at(1) assert value == ["b", "f", "j"] value = r.column_at(100) # bang @raises(p.exceptions.FileTypeNotSupported) def test_not_supported_file(self): p.Reader("test.sylk") @raises(IndexError) def test_out_of_index(self): r = p.Reader(self.testfile) r.row[10000] def test_contains(self): r = p.Reader(self.testfile) def f(row): return row[0] == "a" and row[1] == "b" assert r.contains(f) is True def tearDown(self): clean_up_files([self.testfile]) class TestCSVReader(PyexcelBase): """ Test CSV reader """ def setUp(self): """ Make a test csv file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ self.testfile = "testcsv.csv" self._write_test_file(self.testfile) def tearDown(self): clean_up_files([self.testfile]) class TestCSVReader2: def setUp(self): """ Make a test csv file as: a,b,c,d e,f,g,h i,j,k,l """ self.testfile = "testcsv.csv" create_sample_file1(self.testfile) def test_data_types(self): r = p.Reader(self.testfile) result = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", 1.1, 1] actual = list(r.enumerate()) eq_(result, actual) def tearDown(self): clean_up_files([self.testfile]) class TestCSVReaderDialect: def setUp(self): """ Make a test csv file as: a,b,c,d e,f,g,h i,j,k,l """ self.testfile = "testcsv.csv" table = [] for i in [0, 4, 8]: array = [i + 1, i + 2, i + 3, i + 4] table.append(array) p.save_as( dest_file_name=self.testfile, dest_delimiter=":", array=table ) def test_delimiter(self): with open(self.testfile) as test_file: content = "1:2:3:45:6:7:89:10:11:12" expected = "" for line in test_file: line = line.rstrip() expected += line eq_(expected, content) def test_read_delimiter(self): r = p.Reader(self.testfile, delimiter=":") content = list(r) assert content == [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]] def tearDown(self): clean_up_files([self.testfile]) class TestXLSReader(PyexcelBase): def setUp(self): """ Make a test csv file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ self.testfile = "test.xls" self._write_test_file(self.testfile) @raises(ValueError) def test_wrong_sheet(self): p.load(self.testfile, "Noexistent Sheet") def tearDown(self): clean_up_files([self.testfile]) class TestXLSXReader(PyexcelBase): def setUp(self): """ Make a test csv file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ self.testfile = "test.xlsx" self._write_test_file(self.testfile) def tearDown(self): clean_up_files([self.testfile]) class TestXLSMReader(PyexcelBase): def setUp(self): """ Make a test csv file as: 1,1,1,1 2,2,2,2 3,3,3,3 """ self.testfile = "test.xlsm" self._write_test_file(self.testfile) def tearDown(self): clean_up_files([self.testfile]) class TestSeriesReader3: def setUp(self): self.testfile = "test.xlsx" self.content = [ ["X", "Y", "Z"], [1, 11, 12], [2, 21, 22], [3, 31, 32], [4, 41, 42], [5, 51, 52], ] create_generic_file(self.testfile, self.content) def test_empty_series_reader(self): # debug this further s = p.Sheet() # seriesreader is gone since v0.0.7 assert s.name == "pyexcel sheet" test_data = [ [1, 2, 3], [4, 5, 6], ["Column 1", "Column 2", "Column 3"], ] s.column += p.internal.sheets.transpose(test_data) actual = s.array assert test_data == actual s.name_columns_by_row(2) assert s.colnames == test_data[2] def tearDown(self): clean_up_files([self.testfile]) class TestSeriesReader4: def setUp(self): self.testfile = "test.xls" self.content = [ ["X", "Y", "Z"], [1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3], ] create_generic_file(self.testfile, self.content) def test_content_is_read(self): r = p.SeriesReader(self.testfile) actual = list(r.rows()) assert self.content[1:] == actual def test_headers(self): r = p.SeriesReader(self.testfile) actual = r.colnames assert self.content[0] == actual def test_named_column_at(self): r = p.SeriesReader(self.testfile) result = r.named_column_at("X") actual = {"X": [1, 1, 1, 1, 1]} eq_(result, actual["X"]) def test_get_item_operator(self): """ Series Reader will skip first row because it has column header """ r = p.SeriesReader(self.testfile) value = r[0, 1] assert value == 2 def tearDown(self): clean_up_files([self.testfile]) class TestSeriesReader5: def setUp(self): self.testfile = "test.xls" self.content = [ [1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3], ["X", "Y", "Z"], [1, 2, 3], ] create_generic_file(self.testfile, self.content) def test_content_is_read(self): r = p.SeriesReader(self.testfile, series=4) actual = list(r.rows()) self.content.pop(4) eq_(self.content, actual) def test_headers(self): r = p.SeriesReader(self.testfile, series=4) actual = r.colnames eq_(self.content[4], actual) def test_named_column_at(self): r = p.SeriesReader(self.testfile, series=4) result = r.named_column_at("X") actual = {"X": [1, 1, 1, 1, 1]} eq_(result, actual["X"]) def test_get_item_operator(self): r = p.SeriesReader(self.testfile, series=4) value = r[0, 1] assert value == 2 def tearDown(self): clean_up_files([self.testfile]) def test_cell_value_boundary(): data = [[0, 1], [10, 11]] sheet = p.Sheet(data) value = sheet.cell_value(1, 1) eq_(value, 11) @raises(IndexError) def test_cell_value_outside_boundary(): data = [[0, 1], [10, 11]] sheet = p.Sheet(data) sheet.cell_value(1, 2) pyexcel-0.7.0/tests/test_renderer.py000066400000000000000000000025341420202037400175460ustar00rootroot00000000000000from _compact import BytesIO from pyexcel.renderer import ( Renderer, DbRenderer, BinaryRenderer, AbstractRenderer, ) from nose.tools import raises @raises(NotImplementedError) def test_render_sheet(): r = Renderer("xls") r.render_sheet("something") @raises(NotImplementedError) def test_abstract_renderer_1(): r = AbstractRenderer("xls") r.render_sheet_to_file("file_name", "a sheet instance") @raises(NotImplementedError) def test_abstract_renderer_2(): r = AbstractRenderer("xls") r.render_sheet_to_stream("file_stream", "a sheet instance") @raises(NotImplementedError) def test_abstract_renderer_3(): r = AbstractRenderer("xls") r.render_book_to_file("file_name", "a book instance") @raises(NotImplementedError) def test_abstract_renderer_4(): r = AbstractRenderer("xls") r.render_book_to_stream("file_stream", "a book instance") @raises(NotImplementedError) def test_abstract_renderer_5(): r = AbstractRenderer("xls") r.get_io() @raises(Exception) def test_db_renderer_1(): r = DbRenderer("xls") r.render_sheet_to_file("file_name", "a sheet") @raises(Exception) def test_db_renderer_2(): r = DbRenderer("xls") r.render_book_to_file("file_name", "a book") def test_binary_renderer(): r = BinaryRenderer("abc") io = r.get_io() assert isinstance(io, BytesIO) pyexcel-0.7.0/tests/test_sheet.py000066400000000000000000000026771420202037400170600ustar00rootroot00000000000000from textwrap import dedent from pyexcel import Sheet from nose.tools import eq_ def test_project(): sheet = Sheet( [["A", "B", "C"], [1, 2, 3], [11, 22, 33], [111, 222, 333]], name_columns_by_row=0, ) expected = dedent( """ pyexcel sheet: +-----+-----+-----+ | B | A | C | +=====+=====+=====+ | 2 | 1 | 3 | +-----+-----+-----+ | 22 | 11 | 33 | +-----+-----+-----+ | 222 | 111 | 333 | +-----+-----+-----+""" ).strip() sheet = sheet.project(["B", "A", "C"]) eq_(expected, str(sheet)) def test_project_for_less(): sheet = Sheet( [["A", "B", "C"], [1, 2, 3], [11, 22, 33], [111, 222, 333]], name_columns_by_row=0, ) expected = dedent( """ pyexcel sheet: +-----+-----+ | B | C | +=====+=====+ | 2 | 3 | +-----+-----+ | 22 | 33 | +-----+-----+ | 222 | 333 | +-----+-----+""" ).strip() sheet = sheet.project(["B", "C"]) eq_(expected, str(sheet)) def test_project_for_exclusion(): sheet = Sheet( [["A", "B", "C"], [1, 2, 3], [11, 22, 33], [111, 222, 333]], name_columns_by_row=0, ) expected = dedent( """ pyexcel sheet: +-----+ | A | +=====+ | 1 | +-----+ | 11 | +-----+ | 111 | +-----+""" ).strip() sheet = sheet.project(["B", "C"], exclusion=True) eq_(expected, str(sheet)) pyexcel-0.7.0/tests/test_sheet_access.py000066400000000000000000000026021420202037400203650ustar00rootroot00000000000000import random from base import PyexcelSheetBase class TestSheetAccess(PyexcelSheetBase): @staticmethod def get_random_char(): i = random.randint(97, 122) return chr(i) def test_out_of_bounds_write(self): value = self.get_random_char() column = self.get_random_char() + self.get_random_char() cell = column + str(random.randint(9, 30)) self.sheet[cell] = value self.assertEqual(value, self.sheet[cell]) def test_out_of_column_bound_write(self): value = self.get_random_char() column = self.get_random_char() + self.get_random_char() cell = "A" + column + str(random.randint(9, 30)) self.sheet[cell] = value self.assertEqual(value, self.sheet[cell]) def test_out_of_bounds_read(self): with self.assertRaises(IndexError): self.sheet[0, 20] with self.assertRaises(IndexError): self.sheet[20, 0] def test_column_edge_case(self): column = self.sheet.number_of_columns() - 1 self.assertEqual(self.sheet[0, column], f"0_{column}") with self.assertRaises(IndexError): self.sheet[0, column + 1] def test_row_edge_case(self): row = self.sheet.number_of_rows() - 1 self.assertEqual(self.sheet[row, 0], f"{row}_0") with self.assertRaises(IndexError): self.sheet[row + 1, 0] pyexcel-0.7.0/tests/test_sheet_attributes.py000066400000000000000000000071451420202037400213210ustar00rootroot00000000000000# since v0.2.2 import copy from textwrap import dedent from pyexcel.sheet import Sheet, make_names_unique from pyexcel.internal.meta import PyexcelObject from nose.tools import eq_, raises def test_sheet_content(): array = [[1, 2]] sheet = Sheet(array) expected = dedent( """ +---+---+ | 1 | 2 | +---+---+""" ).strip("\n") eq_(str(sheet.content), expected) def test_random_access(): test_content = [[1, 2]] sheet = Sheet(test_content) eq_(sheet.to_array(), test_content) expected = dedent( """ pyexcel sheet: +---+-----+ | 1 | 100 | +---+-----+""" ).strip("\n") sheet[0, 1] = 100 eq_(str(sheet), expected) def test_random_access_to_unknown_area(): test_content = [[1, 2]] sheet = Sheet(copy.deepcopy(test_content)) eq_(sheet.to_array(), test_content) expected = [[1, 2, ""], ["", "", ""], ["", "", 100]] sheet[2, 2] = 100 eq_(sheet.array, expected) def test_named_sheet_access(): test_content = [["A", "B"], [1, 2]] sheet = Sheet(copy.deepcopy(test_content), name_columns_by_row=0) eq_(sheet.to_array(), test_content) expected = dedent( """ pyexcel sheet: +-----+---+ | A | B | +=====+===+ | 100 | 2 | +-----+---+""" ).strip("\n") sheet[0, "A"] = 100 print(str(sheet)) eq_(str(sheet), expected) def test_named_sheet_access_to_unknown_area(): test_content = [["A", "B"], [1, 2]] sheet = Sheet(copy.deepcopy(test_content), name_columns_by_row=0) eq_(sheet.to_array(), test_content) expected = dedent( """ pyexcel sheet: +-----+---+ | A | B | +=====+===+ | 1 | 2 | +-----+---+ | 100 | | +-----+---+""" ).strip("\n") sheet[1, "A"] = 100 print(str(sheet)) eq_(str(sheet), expected) def test_data_frame_access(): test_content = [["", "A", "B"], ["R", 1, 2]] sheet = Sheet( copy.deepcopy(test_content), name_columns_by_row=0, name_rows_by_column=0, ) eq_(sheet.to_array(), test_content) expected = dedent( """ pyexcel sheet: +---+-----+---+ | | A | B | +===+=====+===+ | R | 100 | 2 | +---+-----+---+""" ).strip("\n") sheet["R", "A"] = 100 print(str(sheet)) eq_(str(sheet), expected) def test_html_representation(): array = [[1, 2]] sheet = Sheet(array) expected = dedent( """ pyexcel sheet:
12
""" # noqa: E501 ).strip("\n") eq_(str(sheet._repr_html_()), expected) def test_svg_representation(): array = [["a", "b"], [1, 2]] sheet = Sheet(array) io = sheet.plot() assert io._repr_svg_() is not None @raises(NotImplementedError) def test_pyexcel_object(): obj = PyexcelObject() obj.save_to_memory("csv") def test_make_names_unique(): alist = ["a", "a"] new_names = make_names_unique(alist) expected = ["a", "a-1"] eq_(new_names, expected) def test_make_names_unique_includes_leading_whitespace(): alist = ["a", " a"] new_names = make_names_unique(alist) expected = ["a", "a-1"] eq_(new_names, expected) def test_make_names_unique_includes_trailing_whitespace(): alist = ["a", "a "] new_names = make_names_unique(alist) expected = ["a", "a-1"] eq_(new_names, expected) def test_make_names_unique_includes_whitespace(): alist = ["a", " a ", " ", " "] new_names = make_names_unique(alist) expected = ["a", "a-1", "", "-1"] eq_(new_names, expected) pyexcel-0.7.0/tests/test_sheet_column.py000066400000000000000000000124341420202037400204250ustar00rootroot00000000000000from pyexcel import Sheet from _compact import OrderedDict from nose.tools import eq_, raises, assert_not_in class TestSheetColumn: def setUp(self): self.data = [ ["Column 1", "Column 2", "Column 3"], [1, 2, 3], [4, 5, 6], [7, 8, 9], ] def test_negative_row_index(self): s = Sheet(self.data, "test") data = s.column[-1] eq_(data, ["Column 3", 3, 6, 9]) def test_formatter_by_named_column(self): """Test one named column""" s = Sheet(self.data, "test") s.name_columns_by_row(0) s.column.format("Column 1", str) eq_(s.column["Column 1"], ["1", "4", "7"]) def test_formatter_by_named_columns(self): """Test multiple named columns""" s = Sheet(self.data, "test") s.name_columns_by_row(0) s.column.format(["Column 1", "Column 3"], str) eq_(s.column["Column 1"], ["1", "4", "7"]) eq_(s.column["Column 3"], ["3", "6", "9"]) @raises(AttributeError) def test_add(self): s = Sheet(self.data, "test") s.name_columns_by_row(0) data = OrderedDict({"Column 4": [10, 11, 12]}) s1 = s.column + data eq_(s1.column.Column_4, [10, 11, 12]) eq_(s.column.Column_4, [10, 11, 12]) def test_iadd(self): s = Sheet(self.data, "test") s.name_columns_by_row(0) data = OrderedDict({"Column 4": [10, 11, 12]}) s.column += data eq_(s.column.Column_4, [10, 11, 12]) @raises(TypeError) def test_add_wrong_type(self): """Add string type""" s = Sheet(self.data, "test") s.name_columns_by_row(0) s = s.column + "string type" # bang @raises(ValueError) def test_delete_named_column(self): s = Sheet(self.data, "test") s.name_columns_by_row(0) del s.column["Column 2"] assert s.number_of_columns() == 2 s.column["Column 2"] # bang @raises(ValueError) def test_delete_indexed_column1(self): s = Sheet(self.data, "test") s.name_columns_by_row(0) del s.column[1] assert s.number_of_columns() == 2 s.column["Column 2"] # access it after deletion, bang @raises(ValueError) def test_delete_indexed_column2(self): s = Sheet(self.data, "test") s.name_columns_by_row(0) del s.column["Column 2"] assert s.number_of_columns() == 2 s.column["Column 2"] # access it after deletion, bang @raises(ValueError) def test_delete_indexed_column(self): s = Sheet(self.data, "test") s.name_columns_by_row(0) s.delete_named_column_at(1) assert s.number_of_columns() == 2 s.column["Column 2"] # access it after deletion, bang @raises(ValueError) def test_delete_column(self): s = Sheet(self.data, "test") del s.column[1, 2] assert s.number_of_columns() == 1 s.column["Column 2"] # access it after deletion, bang class TestSheetColumn2: def setUp(self): self.data = [ [1, 2, 3], [4, 5, 6], ["Column 1", "Column 2", "Column 3"], [7, 8, 9], ] def test_series(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) eq_(s.colnames, ["Column 1", "Column 2", "Column 3"]) custom_columns = ["C1", "C2", "C3"] s.colnames = custom_columns eq_(s.colnames, custom_columns) def test_series2(self): custom_columns = ["C1", "C2", "C3"] s = Sheet(self.data, "test", colnames=custom_columns) assert s.colnames == custom_columns @raises(NotImplementedError) def test_series3(self): custom_columns = ["C1", "C2", "C3"] Sheet( self.data, "test", colnames=custom_columns, name_columns_by_row=0 ) def test_formatter_by_named_column(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) s.column.format("Column 1", str) assert s.column["Column 1"] == ["1", "4", "7"] def test_formatter_by_named_column_2(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) s.column.format("Column 1", str) assert s.column["Column 1"] == ["1", "4", "7"] def test_add(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) data = OrderedDict({"Column 4": [10, 11, 12]}) s1 = s.column + data eq_(s1.column["Column 4"], [10, 11, 12]) assert_not_in("Column 4", s.column) def test_iadd(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) data = OrderedDict({"Column 4": [10, 11, 12]}) s.column += data assert s.column["Column 4"] == [10, 11, 12] def test_dot_notation(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) eq_(s.column.Column_3, [3, 6, 9]) @raises(ValueError) def test_delete_named_column(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) del s.column["Column 2"] assert s.number_of_columns() == 2 s.column["Column 2"] # bang def test_set_indexed_row(self): s = Sheet(self.data, "test") s.name_columns_by_row(2) s.row[0] = [10000, 1, 11] assert s.row[0] == [10000, 1, 11] pyexcel-0.7.0/tests/test_sheet_row.py000066400000000000000000000112631420202037400177360ustar00rootroot00000000000000from pyexcel import Sheet from _compact import OrderedDict from nose.tools import eq_, raises, assert_not_in class TestSheetRow: def setUp(self): self.data = [ ["Row 0", -1, -2, -3], ["Row 1", 1, 2, 3], ["Row 2", 4, 5, 6], ["Row 3", 7, 8, 9], ] def test_negative_row_index(self): s = Sheet(self.data, "test") data = s.row[-1] eq_(data, self.data[-1]) def test_formatter_by_named_row(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) s.row.format("Row 1", str) eq_(s.row["Row 1"], ["1", "2", "3"]) def test_rownames(self): s = Sheet(self.data, "test", name_rows_by_column=0) eq_(s.rownames, ["Row 0", "Row 1", "Row 2", "Row 3"]) custom_rows = ["R0", "R1", "R2", "R3"] s.rownames = custom_rows eq_(s.rownames, custom_rows) def test_rownames2(self): custom_rows = ["R0", "R1", "R2", "R3"] s = Sheet(self.data, "test", rownames=custom_rows) eq_(s.rownames, custom_rows) @raises(NotImplementedError) def test_rownames3(self): custom_rows = ["R0", "R1", "R2", "R3"] Sheet(self.data, "test", name_rows_by_column=0, rownames=custom_rows) def test_formatter_by_named_row_2(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) s.row.format("Row 1", str) eq_(s.row["Row 1"], ["1", "2", "3"]) def test_row_series_to_dict(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) content = s.to_dict(True) keys = ["Row 0", "Row 1", "Row 2", "Row 3"] assert keys == list(content.keys()) @raises(TypeError) def test_extend_rows_using_wrong_data_type(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) s.extend_rows([1, 2]) def test_formatter_by_named_row2(self): """Test a list of string as index""" s = Sheet(self.data, "test") s.name_rows_by_column(0) s.row.format(["Row 1", "Row 2"], str) assert s.row["Row 1"] == ["1", "2", "3"] assert s.row["Row 2"] == ["4", "5", "6"] def test_add(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) data = OrderedDict({"Row 5": [10, 11, 12]}) s1 = s.row + data assert s1.row["Row 5"] == [10, 11, 12] assert_not_in("Row 5", s.row) def test_iadd(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) data = OrderedDict({"Row 5": [10, 11, 12]}) s.row += data assert s.row["Row 5"] == [10, 11, 12] def test_dot_notation(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) eq_(s.row.Row_3, [7, 8, 9]) @raises(TypeError) def test_add_wrong_type(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) s = s.row + "string type" # bang @raises(ValueError) def test_delete_named_row(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) del s.row["Row 2"] assert s.number_of_rows() == 3 s.row["Row 2"] # already deleted @raises(ValueError) def test_delete_indexed_row1(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) del s.row[2] assert s.number_of_rows() == 3 s.row["Row 2"] # already deleted @raises(ValueError) def test_delete_indexed_row2(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) s.delete_named_row_at(2) assert s.number_of_rows() == 3 s.row["Row 2"] # already deleted @raises(ValueError) def test_delete_indexed_row3(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) del s.row["Row 0", "Row 1"] assert s.number_of_rows() == 2 s.row["Row 1"] # already deleted @raises(ValueError) def test_delete_row(self): s = Sheet(self.data, "test") del s.row[1, 2] assert s.number_of_rows() == 2 s.row["Row 1"] # already deleted def test_column_locator2(self): """ Remove odd columns """ sheet = Sheet(self.data) def locator(index, _): return index % 2 == 0 del sheet.row[locator] assert sheet.number_of_rows() == 2 def test_set_named_row(self): s = Sheet(self.data, "test") s.name_rows_by_column(0) s.row["Row 2"] = [11, 11, 11] assert s.row["Row 2"] == [11, 11, 11] def test_set_indexed_column(self): s = Sheet(self.data, "test", name_rows_by_column=0) s.column[0] = [12, 3, 4, 5] assert s.column[0] == [12, 3, 4, 5] pyexcel-0.7.0/tests/test_sheet_stream.py000066400000000000000000000016161420202037400204230ustar00rootroot00000000000000from textwrap import dedent from pyexcel.internal.common import get_sheet_headers from pyexcel.internal.generators import SheetStream from pyexcel.plugins.sources.output_to_memory import WriteSheetToMemory from nose.tools import eq_ from pyexcel_io import manager as manager def test_save_to(): file_type = "csv" io = manager.get_io(file_type) g = (i for i in [[1, 2], [3, 4]]) ss = WriteSheetToMemory( file_type=file_type, file_stream=io, lineterminator="\n" ) sheet_stream = SheetStream("test", g) ss.write_data(sheet_stream) content = io.getvalue() expected = dedent( """\ 1,2 3,4 """ ) assert content == expected def test_get_sheet_headers(): data = iter([["a", "b", "c"], [1, 2, 3]]) sheet_stream = SheetStream("test", data) colnames_array = get_sheet_headers(sheet_stream) eq_(colnames_array, ["a", "b", "c"]) pyexcel-0.7.0/tests/test_sheet_update.py000066400000000000000000000050071420202037400204100ustar00rootroot00000000000000import pyexcel as pe from base import ( PyexcelSheetRWBase, clean_up_files, create_sample_file1, create_sample_file1_series, ) from _compact import OrderedDict from nose.tools import eq_, raises class TestReader: def setUp(self): """ Make a test csv file as: a,b,c,d e,f,g,h i,j,1.1,1 """ self.testfile = "testcsv.csv" create_sample_file1(self.testfile) def test_set_named_column_at(self): r = pe.SeriesReader(self.testfile) r.set_named_column_at("b", [11, 1]) eq_(r.column_at(1), [11, 1]) def tearDown(self): clean_up_files([self.testfile]) class TestReader2(PyexcelSheetRWBase): def setUp(self): """ Make a test csv file as: a,b,c,d e,f,g,h i,j,1.1,1 """ self.testclass = pe.Reader self.testfile = "testcsv.xls" create_sample_file1(self.testfile) def tearDown(self): clean_up_files([self.testfile]) class TestSeriesReader: def setUp(self): """ Make a test csv file as: a,b,c,d e,f,g,h i,j,1.1,1 """ self.testclass = pe.SeriesReader self.testfile = "testcsv.xls" create_sample_file1_series(self.testfile) @raises(TypeError) def test_extend_columns(self): r = self.testclass(self.testfile) columns = [["p", "a", "d"], ["c1", "c2", "c3"], ["x1", "x2", "x4"]] r.extend_columns(columns) def test_extend_columns2(self): r = self.testclass(self.testfile) columns = OrderedDict() columns.update({"p": ["c1", "x1"]}) columns.update({"a": ["c2", "x2"]}) columns.update({"d": ["c3", "x4"]}) r.extend_columns(columns) assert r.row[0] == ["a", "b", "c", "d", "c1", "c2", "c3"] assert r.row[1] == ["e", "f", "g", "h", "x1", "x2", "x4"] assert r.row[2] == ["i", "j", 1.1, 1, "", "", ""] r2 = self.testclass(self.testfile) columns = OrderedDict() columns.update({"p": ["c1", "x1", "y1", "z1"]}) columns.update({"a": ["c2", "x2", "y2"]}) columns.update({"d": ["c3", "x4"]}) r2.extend_columns(columns) assert r2.row[0] == ["a", "b", "c", "d", "c1", "c2", "c3"] assert r2.row[1] == ["e", "f", "g", "h", "x1", "x2", "x4"] assert r2.row[2] == ["i", "j", 1.1, 1, "y1", "y2", ""] assert r2.row[3] == ["", "", "", "", "z1", "", ""] def tearDown(self): clean_up_files([self.testfile]) pyexcel-0.7.0/tests/test_sheets.py000066400000000000000000000237351420202037400172410ustar00rootroot00000000000000import copy from pyexcel import Sheet, load_from_dict, load_from_records from nose.tools import eq_, raises @raises(TypeError) def test_non_filter(): data = [] s = Sheet(data) s.filter("abc") # bang def test_invalid_array_in_sheet(): test_array = [[1, 2]] sheet = Sheet(test_array) sheet2 = Sheet(sheet) eq_(sheet2.array, test_array) def test_sheet_len(): sheet = Sheet([[1, 2]]) eq_(len(sheet), 1) class TestNegativeIndices: def setUp(self): self.data = [ [1, 2, 3, 4, 5, 6, 7, 8], ["1", "2", "3", "4", "5", "6", "7", "8"], [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], ["1.1", "2.2", "3.3", "4.4", "5.5", "6.6", "7,7", "8.8"], [2, 3, 4, 5, 6, 7, 8, 9], ["2", "3", "4", "5", "6", "7", "8", "9"], ] def test_apply_row_form(self): s = Sheet(self.data) data = s.row_at(-2) eq_(data, self.data[-2]) class TestFormatter: def setUp(self): self.data = [ [1, 2, 3, 4, 5, 6, 7, 8], ["1", "2", "3", "4", "5", "6", "7", "8"], [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8], ["1.1", "2.2", "3.3", "4.4", "5.5", "6.6", "7,7", "8.8"], [2, 3, 4, 5, 6, 7, 8, 9], ["2", "3", "4", "5", "6", "7", "8", "9"], ] def test_apply_row_formatter(self): s = Sheet(self.data) s.row.format(0, str) assert s.row[0] == s.row[1] def test_apply_column_formatter(self): s = Sheet(self.data) s.column.format(0, float) assert s.column[0] == [1, 1, 1.1, 1.1, 2, 2] def test_apply_sheet_formatter(self): s = Sheet(self.data) s.format(float) assert s.row[0] == s.row[1] assert s.column[0] == [1, 1, 1.1, 1.1, 2, 2] def test_column_locator(self): """ Remove odd columns """ sheet = Sheet(self.data) del sheet.column[lambda column_index, _: column_index % 2 == 0] expected = [ [2, 4, 6, 8], ["2", "4", "6", "8"], [2.2, 4.4, 6.6, 8.8], ["2.2", "4.4", "6.6", "8.8"], [3, 5, 7, 9], ["3", "5", "7", "9"], ] eq_(sheet.array, expected) def test_column_locator2(self): """ Remove odd columns """ sheet = Sheet(self.data) def locator(index, _): return index % 2 == 0 del sheet.column[locator] expected = [ [2, 4, 6, 8], ["2", "4", "6", "8"], [2.2, 4.4, 6.6, 8.8], ["2.2", "4.4", "6.6", "8.8"], [3, 5, 7, 9], ["3", "5", "7", "9"], ] eq_(sheet.array, expected) @raises(IndexError) def test_set_row_at(self): s = Sheet(self.data) s.set_row_at(1000, [1]) def test_set_row_at2(self): s = Sheet(self.data) s.set_row_at(1, [1]) eq_(s[1], [1, "", "", "", "", "", "", ""]) @raises(IndexError) def test_set_row_at3(self): s = Sheet(self.data) s._set_row_at(10000, 100000, [1]) @raises(ValueError) def test_empty_paste(self): s = Sheet(self.data) s.paste((1, 2)) class TestUniquenessOfNames: def test_column_names(self): data = [ [1, 2, 3], [4, 5, 6], ["Column", "Column", "Column"], [7, 8, 9], ] sheet = Sheet(data, name_columns_by_row=2) assert sheet.colnames == ["Column", "Column-1", "Column-2"] def test_column_names2(self): data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] sheet = Sheet(data) sheet.colnames = ["Column", "Column", "Column"] assert sheet.colnames == ["Column", "Column-1", "Column-2"] def test_row_names(self): data = [ ["Row", -1, -2, -3], ["Row", 1, 2, 3], ["Row", 4, 5, 6], ["Row", 7, 8, 9], ] sheet = Sheet(data, name_rows_by_column=0) assert sheet.rownames == ["Row", "Row-1", "Row-2", "Row-3"] def test_row_names2(self): data = [[-1, -2, -3], [1, 2, 3], [4, 5, 6], [7, 8, 9]] sheet = Sheet(data) sheet.rownames = ["Row"] * 4 assert sheet.rownames == ["Row", "Row-1", "Row-2", "Row-3"] class TestSheetRegion: def test_region(self): data = [ # 0 1 2 3 4 5 6 [1, 2, 3, 4, 5, 6, 7], # 0 [21, 22, 23, 24, 25, 26, 27], [31, 32, 33, 34, 35, 36, 37], [41, 42, 43, 44, 45, 46, 47], [51, 52, 53, 54, 55, 56, 57], # 4 ] s = Sheet(data) data = s.region([1, 1], [4, 5]) expected = [[22, 23, 24, 25], [32, 33, 34, 35], [42, 43, 44, 45]] assert data == expected def test_cut_region(self): data = [ # 0 1 2 3 4 5 6 [1, 2, 3, 4, 5, 6, 7], # 0 [21, 22, 23, 24, 25, 26, 27], [31, 32, 33, 34, 35, 36, 37], [41, 42, 43, 44, 45, 46, 47], [51, 52, 53, 54, 55, 56, 57], # 4 ] s = Sheet(data) data = s.cut([1, 1], [4, 5]) expected = [[22, 23, 24, 25], [32, 33, 34, 35], [42, 43, 44, 45]] expected2 = [ # 0 1 2 3 4 5 6 [1, 2, 3, 4, 5, 6, 7], # 0 [21, "", "", "", "", 26, 27], [31, "", "", "", "", 36, 37], [41, "", "", "", "", 46, 47], [51, 52, 53, 54, 55, 56, 57], # 4 ] assert data == expected assert s.to_array() == expected2 def test_cut_and_paste_region(self): data = [ # 0 1 2 3 4 5 6 [1, 2, 3, 4, 5, 6, 7], # 0 [21, 22, 23, 24, 25, 26, 27], [31, 32, 33, 34, 35, 36, 37], [41, 42, 43, 44, 45, 46, 47], [51, 52, 53, 54, 55, 56, 57], # 4 ] s = Sheet(data) data = s.cut([1, 1], [4, 5]) s.paste([0, 0], rows=data) expected = [ [22, 23, 24, 25, 5, 6, 7], [32, 33, 34, 35, "", 26, 27], [42, 43, 44, 45, "", 36, 37], [41, "", "", "", "", 46, 47], [51, 52, 53, 54, 55, 56, 57], ] assert expected == s.to_array() def test_cut_and_paste_region_within_limits_at_edge(self): data = [ # 0 1 2 3 4 5 6 [1, 2, 3, 4, 5, 6, 7], # 0 [21, 22, 23, 24, 25, 26, 27], [31, 32, 33, 34, 35, 36, 37], [41, 42, 43, 44, 45, 46, 47], [51, 52, 53, 54, 55, 56, 57], # 4 ] s = Sheet(data) data = s.cut([1, 1], [4, 5]) s.paste([0, 0], rows=data) expected = [ [22, 23, 24, 25, 5, 6, 7], [32, 33, 34, 35, "", 26, 27], [42, 43, 44, 45, "", 36, 37], [41, "", "", "", "", 46, 47], [51, 52, 53, 54, 55, 56, 57], ] assert expected == s.to_array() class TestLoadingFunction: def test_load_from_dict(self): content = {"a": [1, 2, 3, 5], "b": [4, 5, 6, 7, 8]} sheet = load_from_dict(content, name_columns_by_row=0) assert sorted(sheet.colnames) == sorted(content.keys()) def test_load_from_records(self): content = [{"a": 1, "b": 2}, {"a": 3, "b": 4}] sheet = load_from_records(content, name_columns_by_row=0) expected = {"a": [1, 3], "b": [2, 4]} assert sheet.to_dict() == expected class TestSheetTops: def test_top(self): data = [ # 0 1 2 3 4 5 6 [1, 2, 3, 4, 5, 6, 7], # 0 [21, 22, 23, 24, 25, 26, 27], [31, 32, 33, 34, 35, 36, 37], [41, 42, 43, 44, 45, 46, 47], [51, 52, 53, 54, 55, 56, 57], # 4 ] s = Sheet(data) data = s.top(1) expected = [[1, 2, 3, 4, 5, 6, 7]] assert data.array == expected def test_top_with_colnames(self): data = [["column 1", "column 2"], [1, 2]] s = Sheet(copy.deepcopy(data)) s.name_columns_by_row(0) top_sheet = s.top() assert top_sheet.array == data def test_top_left(self): data = [ # 0 1 2 3 4 5 6 [1, 2, 3, 4, 5, 6, 7], # 0 [21, 22, 23, 24, 25, 26, 27], [31, 32, 33, 34, 35, 36, 37], [41, 42, 43, 44, 45, 46, 47], [51, 52, 53, 54, 55, 56, 57], # 4 ] s = Sheet(data) data = s.top_left(rows=1, columns=1) expected = [[1]] assert data.array == expected def test_top_left_with_colnames(self): data = [ ["col 1", "col 2", "col 3", "col 4", "col 5", "col 6"], [1, 2, 3, 4, 5, 6], [11, 2, 3, 4, 5, 6], [21, 2, 3, 4, 5, 6], [31, 2, 3, 4, 5, 6], [41, 2, 3, 4, 5, 6], [51, 2, 3, 4, 5, 6], ] s = Sheet(data) s.name_columns_by_row(0) top_sheet = s.top_left() expected = [ ["col 1", "col 2", "col 3", "col 4", "col 5"], [1, 2, 3, 4, 5], [11, 2, 3, 4, 5], [21, 2, 3, 4, 5], [31, 2, 3, 4, 5], [41, 2, 3, 4, 5], ] eq_(top_sheet.array, expected) def test_top_left_with_colnames_and_rownames(self): data = [ ["", "col 1", "col 2", "col 3", "col 4", "col 5", "col 6"], ["row 1", 1, 2, 3, 4, 5, 6], ["row 2", 11, 2, 3, 4, 5, 6], ["row 3", 21, 2, 3, 4, 5, 6], ["row 4", 31, 2, 3, 4, 5, 6], ["row 5", 41, 2, 3, 4, 5, 6], ["row 6", 51, 2, 3, 4, 5, 6], ] s = Sheet(data) s.name_columns_by_row(0) s.name_rows_by_column(0) top_sheet = s.top_left() expected = [ ["", "col 1", "col 2", "col 3", "col 4", "col 5"], ["row 1", 1, 2, 3, 4, 5], ["row 2", 11, 2, 3, 4, 5], ["row 3", 21, 2, 3, 4, 5], ["row 4", 31, 2, 3, 4, 5], ["row 5", 41, 2, 3, 4, 5], ] eq_(top_sheet.array, expected) pyexcel-0.7.0/tests/test_signature_fuction.py000066400000000000000000000732741420202037400215010ustar00rootroot00000000000000import os from types import GeneratorType import pyexcel as pe from db import Base, Session, Signature, Signature2, engine from _compact import OrderedDict from nose.tools import eq_, raises def test_unknown_file_type_exception(): content = [[1]] msg = "File type 'hd5' is not supported for write." try: pe.save_as(array=content, dest_file_name="test.hd5") except pe.exceptions.FileTypeNotSupported as e: eq_(str(e), msg) def test_unknown_parameter_exception(): msg = "Please check if there were typos in " msg += "function parameters: %s. Otherwise " msg += "unrecognized parameters were given." unknown_parameter = dict(something="else") try: pe.get_sheet(**unknown_parameter) except pe.exceptions.UnknownParameters as e: eq_(str(e), msg % unknown_parameter) try: pe.save_as(**unknown_parameter) except pe.exceptions.UnknownParameters as e: eq_(str(e), msg % unknown_parameter) try: pe.save_book_as(**unknown_parameter) except pe.exceptions.UnknownParameters as e: eq_(str(e), msg % unknown_parameter) try: pe.isave_as(**unknown_parameter) except pe.exceptions.UnknownParameters as e: eq_(str(e), msg % unknown_parameter) pe.free_resources() def test_out_file_parameter(): try: pe.save_as(array=[[1]], out_file="b", colnames=["X", "Y", "Z"]) except pe.exceptions.UnknownParameters as e: eq_(str(e), "No parameters found!") def test_nominal_parameters(): try: pe.get_records("something") except pe.exceptions.UnknownParameters as e: eq_(str(e), "No parameters found!") class TestGetSheet: def test_get_sheet_from_file(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" sheet.save_as(testfile) sheet = pe.get_sheet(file_name=testfile) assert sheet.to_array() == data os.unlink(testfile) def test_get_sheet_from_file_stream(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] content = pe.save_as(dest_file_type="xls", array=data) sheet = pe.get_sheet(file_stream=content, file_type="xls") assert sheet.to_array() == data def test_get_sheet_from_memory(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] content = pe.save_as(dest_file_type="xls", array=data) sheet = pe.get_sheet(file_content=content.getvalue(), file_type="xls") assert sheet.to_array() == data @raises(IOError) def test_get_sheet_from_memory_compatibility(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] content = pe.save_as(dest_file_type="xls", array=data) pe.get_sheet(content=content.getvalue(), file_type="xls") def test_get_sheet_from_array(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.get_sheet(array=data) result = sheet.to_array() assert data == result def test_get_sheet_from_dict(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} sheet = pe.get_sheet(adict=adict) expected = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] assert expected == sheet.to_array() def test_get_sheet_from_records(self): records = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] sheet = pe.get_sheet(records=records) expected = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] assert expected == sheet.to_array() def test_get_sheet_from_txt(self): test_file = os.path.join("tests", "fixtures", "force_type.txt") sheet = pe.get_sheet(file_name=test_file, force_file_type="csv") expected = [[1, 2, 3]] eq_(sheet.to_array(), expected) class TestGetArray: def setUp(self): self.test_data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] def test_get_array_from_file(self): sheet = pe.Sheet(self.test_data) testfile = "testfile.xls" sheet.save_as(testfile) result = pe.get_array(file_name=testfile) eq_(result, self.test_data) os.unlink(testfile) def test_get_array_from_memory(self): content = pe.save_as(dest_file_type="xls", array=self.test_data) array = pe.get_array(file_content=content.getvalue(), file_type="xls") eq_(array, self.test_data) def test_get_array_from_array(self): result = pe.get_array(array=self.test_data) eq_(result, self.test_data) def test_get_array_from_dict(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.get_array(adict=adict) eq_(result, self.test_data) def test_get_sheet_from_recrods(self): records = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] result = pe.get_array(records=records) eq_(result, self.test_data) class TestiGetArray: def setUp(self): self.test_data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] def tearDown(self): pe.free_resources() def test_get_array_from_file(self): sheet = pe.Sheet(self.test_data) testfile = "testfile.xls" sheet.save_as(testfile) result = pe.iget_array(file_name=testfile) eq_(list(result), self.test_data) os.unlink(testfile) def test_get_array_from_memory(self): content = pe.save_as(dest_file_type="xls", array=self.test_data) array = pe.get_array(file_content=content.getvalue(), file_type="xls") eq_(array, self.test_data) def test_get_array_from_array(self): result = pe.iget_array(array=self.test_data) eq_(list(result), self.test_data) def test_get_array_from_dict(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.iget_array(adict=adict) eq_(list(result), self.test_data) def test_get_sheet_from_recrods(self): records = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] result = pe.iget_array(records=records) eq_(list(result), self.test_data) class TestGetDict: def test_get_dict_from_file(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" sheet.save_as(testfile) result = pe.get_dict(file_name=testfile) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} os.unlink(testfile) def test_get_dict_from_memory(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] content = pe.save_as(dest_file_type="xls", array=data) adict = pe.get_dict(file_content=content.getvalue(), file_type="xls") assert adict == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_get_dict_from_array(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] result = pe.get_dict(array=data) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_get_dict_from_dict(self): data = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.get_dict(adict=data) assert result == data def test_get_dict_from_records(self): data = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] expected = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.get_dict(records=data) assert result == expected class TestGetRecords: def test_get_records_from_file(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" sheet.save_as(testfile) result = pe.get_records(file_name=testfile) eq_(result, [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) os.unlink(testfile) def test_get_records_from_memory(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] content = pe.save_as(dest_file_type="xls", array=data) records = pe.get_records( file_content=content.getvalue(), file_type="xls" ) eq_(records, [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) def test_get_records_from_array(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] result = pe.get_records(array=data) eq_(result, [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) def test_get_records_from_dict(self): data = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.get_records(adict=data) eq_(result, [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) def test_get_records_from_records(self): data = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] result = pe.get_records(records=data) eq_(result, [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) class TestiGetRecords: def tearDown(self): pe.free_resources() def test_get_records_from_file(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" sheet.save_as(testfile) result = pe.iget_records(file_name=testfile) eq_(list(result), [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) os.unlink(testfile) def test_get_records_from_memory(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] content = pe.save_as(dest_file_type="xls", array=data) records = pe.get_records( file_content=content.getvalue(), file_type="xls" ) eq_( list(records), [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] ) def test_get_records_from_array(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] result = pe.iget_records(array=data) eq_(list(result), [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) def test_get_records_from_irregular_array(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5]] result = pe.iget_records(array=data) eq_( list(result), [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": ""}] ) def test_get_records_from_dict(self): data = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.iget_records(adict=data) eq_(list(result), [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) def test_get_records_from_records(self): data = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] result = pe.iget_records(records=data) eq_(list(result), [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}]) class TestSavingToDatabase: def setUp(self): Base.metadata.drop_all(engine) Base.metadata.create_all(engine) self.session = Session() def tearDown(self): self.session.close() def test_save_a_dict(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} sheet = pe.get_sheet(adict=adict, name_columns_by_row=0) sheet.save_to_database(self.session, Signature) result = pe.get_dict(session=self.session, table=Signature) assert adict == result def test_save_a_dict2(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} sheet = pe.get_sheet(adict=adict, name_columns_by_row=0) sheet.save_to_database(self.session, Signature) result = pe.get_dict( session=self.session, table=Signature, name_columns_by_row=0 ) print(result) assert adict == result def test_save_a_dict3(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} sheet = pe.get_sheet(adict=adict, name_columns_by_row=0) sheet.save_to_database(self.session, Signature) result = pe.get_dict(session=self.session, table=(Signature)) assert adict == result def test_save_an_array(self): data = [[1, 4, "X"], [2, 5, "Y"], [3, 6, "Z"]] sheet = pe.Sheet(data) sheet.transpose() sheet.name_columns_by_row(2) sheet.save_to_database(self.session, Signature) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_save_an_array2(self): data = [[1, 4, "A"], [2, 5, "B"], [3, 6, "C"]] sheet = pe.Sheet(data) sheet.transpose() sheet.name_columns_by_row(2) mapdict = {"A": "X", "B": "Y", "C": "Z"} sheet.save_to_database(self.session, Signature, mapdict=mapdict) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_save_an_array3(self): data = [[1, 4, "A"], [2, 5, "B"], [3, 6, "C"]] sheet = pe.Sheet(data) sheet.transpose() sheet.name_columns_by_row(2) mapdict = ["X", "Y", "Z"] sheet.save_to_database(self.session, Signature, mapdict=mapdict) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_save_an_array4(self): data = [["A", "B", "C"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) sheet.name_columns_by_row(0) mapdict = {"A": "X", "B": "Y", "C": "Z"} sheet.save_to_database(self.session, Signature, mapdict=mapdict) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_save_an_array7(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) sheet.name_columns_by_row(0) def make_signature(row): return Signature(X=row["X"], Y=row["Y"], Z=row["Z"]) sheet.save_to_database( self.session, Signature, initializer=make_signature ) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_book_save_a_dict(self): data = [[1, 4, "X"], [2, 5, "Y"], [3, 6, "Z"]] sheet1 = Signature.__tablename__ sheet_dict = {sheet1: data} book = pe.Book(sheet_dict) book[sheet1].transpose() book[sheet1].name_columns_by_row(2) book.save_to_database(self.session, [Signature]) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_book_save_a_dict2(self): data = [[1, 4, "X"], [2, 5, "Y"], [3, 6, "Z"]] data1 = [[1, 4, "A"], [2, 5, "B"], [3, 6, "C"]] sheet1 = Signature.__tablename__ sheet2 = Signature2.__tablename__ sheet_dict = {sheet1: data, sheet2: data1} book = pe.Book(sheet_dict) book[sheet1].transpose() book[sheet1].name_columns_by_row(2) book[sheet2].transpose() book[sheet2].name_columns_by_row(2) book.save_to_database(self.session, [Signature, Signature2]) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.get_dict(session=self.session, table=Signature2) assert result == {"A": [1, 4], "B": [2, 5], "C": [3, 6]} def test_save_as_to_database(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} pe.save_as( adict=adict, dest_session=self.session, dest_table=Signature, name_columns_by_row=0, ) result = pe.get_dict(session=self.session, table=Signature) assert adict == result def test_save_book_as_to_database(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] data1 = [["A", "B", "C"], [1, 2, 3], [4, 5, 6]] sheet_dict = { Signature.__tablename__: data, Signature2.__tablename__: data1, } pe.save_book_as( bookdict=sheet_dict, dest_session=self.session, dest_tables=[Signature, Signature2], ) result = pe.get_dict(session=self.session, table=Signature) assert result == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} result = pe.get_dict(session=self.session, table=Signature2) assert result == {"A": [1, 4], "B": [2, 5], "C": [3, 6]} class TestSQL: def setUp(self): Base.metadata.drop_all(engine) Base.metadata.create_all(engine) row1 = Signature(X=1, Y=2, Z=3) row2 = Signature(X=4, Y=5, Z=6) row3 = Signature2(A=1, B=2, C=3) row4 = Signature2(A=4, B=5, C=6) session = Session() session.add(row1) session.add(row2) session.add(row3) session.add(row4) session.commit() def test_get_sheet_from_query_sets(self): session = Session() objects = session.query(Signature).all() column_names = ["X", "Y", "Z"] sheet = pe.get_sheet(column_names=column_names, query_sets=objects) assert sheet.to_array() == [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] def test_get_sheet_from_sql(self): sheet = pe.get_sheet(session=Session(), table=Signature) assert sheet.to_array() == [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] def test_get_array_from_sql(self): array = pe.get_array(session=Session(), table=Signature) assert array == [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] def test_get_dict_from_sql(self): adict = pe.get_dict(session=Session(), table=Signature) assert adict == {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} def test_get_records_from_sql(self): records = pe.get_records(session=Session(), table=Signature) assert records == [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] def test_get_book_from_sql(self): book_dict = pe.get_book_dict( session=Session(), tables=[Signature, Signature2] ) expected = OrderedDict() expected.update({"signature": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]}) expected.update( {"signature2": [["A", "B", "C"], [1, 2, 3], [4, 5, 6]]} ) assert book_dict == expected @raises(pe.exceptions.UnknownParameters) def test_save_book_as_file_from_sql_compactibility(self): test_file = "book_from_sql.xls" pe.save_book_as( out_file=test_file, session=Session(), tables=[Signature, Signature2], ) def test_save_book_as_file_from_sql(self): test_file = "book_from_sql.xls" pe.save_book_as( dest_file_name=test_file, session=Session(), tables=[Signature, Signature2], ) book_dict = pe.get_book_dict(file_name=test_file) expected = OrderedDict() expected.update({"signature": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]}) expected.update( {"signature2": [["A", "B", "C"], [1, 2, 3], [4, 5, 6]]} ) assert book_dict == expected os.unlink(test_file) def test_save_book_to_memory_from_sql(self): test_file = pe.save_book_as( dest_file_type="xls", session=Session(), tables=[Signature, Signature2], ) book_dict = pe.get_book_dict( file_content=test_file.getvalue(), file_type="xls" ) expected = OrderedDict() expected.update({"signature": [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]}) expected.update( {"signature2": [["A", "B", "C"], [1, 2, 3], [4, 5, 6]]} ) assert book_dict == expected class TestGetBook: def test_get_book_from_book_dict(self): content = _produce_ordered_dict() book = pe.get_book(bookdict=content) assert book.to_dict() == content def test_get_book_from_file(self): test_file = "test_get_book.xls" content = _produce_ordered_dict() book = pe.Book(content) book.save_as(test_file) book2 = pe.get_book(file_name=test_file) assert book2.to_dict() == content os.unlink(test_file) def test_get_book_from_memory(self): content = _produce_ordered_dict() io = pe.save_book_as(dest_file_type="xls", bookdict=content) book2 = pe.get_book(file_content=io.getvalue(), file_type="xls") assert book2.to_dict() == content def test_get_book_from_file_stream(self): content = _produce_ordered_dict() io = pe.save_book_as(dest_file_type="xls", bookdict=content) book2 = pe.get_book(file_stream=io, file_type="xls") assert book2.to_dict() == content @raises(IOError) def test_get_book_from_memory_compatibility(self): content = _produce_ordered_dict() io = pe.save_book_as(dest_file_type="xls", bookdict=content) pe.get_book(content=io.getvalue(), file_type="xls") def test_get_book_dict(self): content = _produce_ordered_dict() io = pe.save_book_as(dest_file_type="xls", bookdict=content) adict = pe.get_book_dict(file_content=io.getvalue(), file_type="xls") assert adict == content def test_get_sheet_from_array(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] test_sheet_name = "custom_sheet" book = pe.get_book(array=data, sheet_name=test_sheet_name) result = book.to_dict() eq_(data, result[test_sheet_name]) def test_get_sheet_from_dict(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} test_sheet_name = "custom_sheet" book = pe.get_book(adict=adict, sheet_name=test_sheet_name) expected = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] result = book.to_dict() eq_(expected, result[test_sheet_name]) def test_get_sheet_from_records(self): records = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] test_sheet_name = "custom_sheet" book = pe.get_book(records=records, sheet_name=test_sheet_name) expected = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] result = book.to_dict() eq_(expected, result[test_sheet_name]) class TestIGetBook: def test_get_book_from_book_dict(self): content = _produce_ordered_dict() book = pe.iget_book(bookdict=content) eq_(book.to_dict(), content) def test_get_book_from_file(self): test_file = "test_get_book.xls" content = _produce_ordered_dict() book = pe.Book(content) book.save_as(test_file) book_stream = pe.iget_book(file_name=test_file) assert book_stream.to_dict() != content book3 = pe.Book(book_stream.to_dict()) eq_(book3.to_dict(), content) os.unlink(test_file) def test_get_book_from_memory(self): content = _produce_ordered_dict() io = pe.save_book_as(dest_file_type="xls", bookdict=content) book_stream = pe.iget_book(file_content=io.getvalue(), file_type="xls") assert book_stream.to_dict() != content book = pe.Book(book_stream.to_dict()) eq_(book.to_dict(), content) def test_get_book_from_file_stream(self): content = _produce_ordered_dict() io = pe.save_book_as(dest_file_type="xls", bookdict=content) book_stream = pe.iget_book(file_stream=io, file_type="xls") assert book_stream.to_dict() != content book = pe.Book(book_stream.to_dict()) eq_(book.to_dict(), content) @raises(IOError) def test_get_book_from_memory_compatibility(self): content = _produce_ordered_dict() io = pe.save_book_as(dest_file_type="xls", bookdict=content) pe.iget_book(content=io.getvalue(), file_type="xls") def test_get_sheet_from_array(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] test_sheet_name = "custom_sheet" book = pe.iget_book(array=data, sheet_name=test_sheet_name) result = book.to_dict() eq_(data, list(result[test_sheet_name])) def test_get_sheet_from_dict(self): adict = {"X": [1, 4], "Y": [2, 5], "Z": [3, 6]} test_sheet_name = "custom_sheet" book = pe.iget_book(adict=adict, sheet_name=test_sheet_name) expected = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] result = book.to_dict() eq_(expected, list(result[test_sheet_name])) def test_get_sheet_from_records(self): records = [{"X": 1, "Y": 2, "Z": 3}, {"X": 4, "Y": 5, "Z": 6}] test_sheet_name = "custom_sheet" book = pe.iget_book(records=records, sheet_name=test_sheet_name) expected = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] result = book.to_dict() eq_(expected, list(result[test_sheet_name])) def test_look_at_sheet_names_without_incurring_further_memory_cost(self): test_file = "test_get_book.xls" content = _produce_ordered_dict() book = pe.Book(content) book.save_as(test_file) book_stream = pe.iget_book(file_name=test_file) eq_(book_stream.sheet_names(), ["Sheet1", "Sheet2", "Sheet3"]) assert isinstance(book_stream["Sheet1"].payload, GeneratorType) os.unlink(test_file) def test_look_at_sheet_names_decides_to_read_seond_one(self): test_file = "test_get_book.xls" content = _produce_ordered_dict() book = pe.Book(content) book.save_as(test_file) book_stream = pe.iget_book(file_name=test_file) data = pe.iget_array(sheet_stream=book_stream["Sheet1"]) assert isinstance(data, GeneratorType) eq_(list(data), [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]]) os.unlink(test_file) class TestSaveAs: def test_force_file_type(self): pe.save_as( array=[[1, 2]], dest_file_name="a.txt", dest_force_file_type="csv" ) actual = pe.get_array(file_name="a.txt", force_file_type="csv") eq_([[1, 2]], actual) os.unlink("a.txt") def test_force_file_type_for_save_book_as(self): pe.save_as( bookdict={"sheet1": [[1, 2]]}, dest_file_name="a.bin", dest_force_file_type="xls", ) actual = pe.get_book_dict(file_name="a.bin", force_file_type="xls") eq_({"sheet1": [[1, 2]]}, actual) os.unlink("a.bin") def test_save_file_as_another_one(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" testfile2 = "testfile2.csv" sheet.save_as(testfile) pe.save_as(file_name=testfile, dest_file_name=testfile2) sheet = pe.get_sheet(file_name=testfile2) sheet.format(int) eq_(sheet.to_array(), data) os.unlink(testfile) os.unlink(testfile2) def test_save_as_and_append_colnames(self): data = [[1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" testfile2 = "testfile.xls" sheet.save_as(testfile) pe.save_as( file_name=testfile, dest_file_name=testfile2, colnames=["X", "Y", "Z"], ) array = pe.get_array(file_name=testfile2) eq_(array, [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]]) class TestiSaveAs: def tearDown(self): pe.free_resources() def test_save_file_as_another_one(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" testfile2 = "testfile2.csv" sheet.save_as(testfile) pe.isave_as(file_name=testfile, dest_file_name=testfile2) sheet = pe.get_sheet(file_name=testfile2) eq_(sheet.to_array(), data) os.unlink(testfile) os.unlink(testfile2) @raises(Exception) def test_save_as_invalid_params(self): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" testfile2 = "testfile2.csv" sheet.save_as(testfile) pe.isave_as( file_name=testfile, dest_file_name=testfile2, name_columns_by_row=0 ) def test_save_file_as_texttable(self): """ test if _texttable can render generator or not """ data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" testfile2 = "testfile2.texttable" sheet.save_as(testfile) pe.isave_as(file_name=testfile, dest_file_name=testfile2) os.unlink(testfile) os.unlink(testfile2) def _produce_ordered_dict(): data_dict = OrderedDict() data_dict.update({"Sheet1": [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]]}) data_dict.update({"Sheet2": [[4, 4, 4, 4], [5, 5, 5, 5], [6, 6, 6, 6]]}) data_dict.update( {"Sheet3": [[u"X", u"Y", u"Z"], [1, 4, 7], [2, 5, 8], [3, 6, 9]]} ) return data_dict def test_get_io_type(): file_type = pe.core.get_io_type("csv") eq_(file_type, "string") file_type = pe.core.get_io_type("strange") eq_(file_type, "string") def test_isave_book_as(): content = _produce_ordered_dict() io = pe.isave_book_as(dest_file_type="xls", bookdict=content) book2 = pe.get_book(file_content=io.getvalue(), file_type="xls") assert book2.to_dict() == content pe.free_resources() @raises(Exception) def test_parser_library_parameter(): pe.get_sheet(file_name="test", parser_library="pyexcel-unknown") @raises(Exception) def test_renderer_library_parameter(): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] sheet = pe.Sheet(data) testfile = "testfile.xls" sheet.save_as(testfile, renderer_library="pyexcel-unknown") @raises(Exception) def test_renderer_library_parameter_2(): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] pe.save_as( array=data, dest_file_name="test_file.xls", dest_renderer_library="pyexcel-unknown", ) @raises(Exception) def test_source_library_parameter(): pe.get_sheet(file_name="test", source_library="pyexcel-unknown") @raises(Exception) def test_source_library_parameter_1(): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] pe.save_as( array=data, dest_file_name="test_file.xls", dest_source_library="pyexcel-unknown", ) @raises(Exception) def test_source_library_parameter_2(): data = [["X", "Y", "Z"], [1, 2, 3], [4, 5, 6]] pe.save_as( array=data, dest_file_name="test_file.xls", source_library="pyexcel-unknown", ) pyexcel-0.7.0/tests/test_sources.py000066400000000000000000000023121420202037400174150ustar00rootroot00000000000000from pyexcel.source import AbstractSource from pyexcel.plugins import FileSourceInfo from pyexcel.plugins.sources.output_to_memory import WriteSheetToMemory from nose.tools import raises def test_source(): source = AbstractSource(source="asource", params="params") info = source.get_source_info() assert info, (None, None) def test_source_class_method(): assert AbstractSource.is_my_business("read", source="asource") is True assert AbstractSource.is_my_business("read", file_name="asource") is False @raises(Exception) def test_read_only_source(): source = AbstractSource() source.write_data("something") @raises(Exception) def test_write_only_source(): source = AbstractSource() source.get_data() @raises(Exception) def test_write_only_sheet_source(): source = WriteSheetToMemory() source.get_data() def test_file_source_info_with_file_type(): class CustomInfo(FileSourceInfo): fields = ["test"] def can_i_handle(self, action, file_type): return file_type == "csv" info = CustomInfo("apth") expected = info.is_my_business( "READ", test="unit", file_name="unknow.file", force_file_type="csv" ) assert expected pyexcel-0.7.0/tests/test_sql.py000066400000000000000000000060511420202037400165350ustar00rootroot00000000000000import datetime from textwrap import dedent from unittest import TestCase import pyexcel as pe from db import Base, Pyexcel, Session, engine from nose.tools import eq_, raises class TestSQL(TestCase): def setUp(self): Base.metadata.drop_all(engine) Base.metadata.create_all(engine) p1 = Pyexcel( id=0, name="Adam", weight=11.25, birth=datetime.date(2014, 11, 11) ) session = Session() session.add(p1) p1 = Pyexcel( id=1, name="Smith", weight=12.25, birth=datetime.date(2014, 11, 12) ) session.add(p1) session.commit() def test_sql(self): sheet = pe.get_sheet(session=Session(), table=Pyexcel) content = dedent( """ pyexcel: +------------+----+-------+--------+ | birth | id | name | weight | +------------+----+-------+--------+ | 2014-11-11 | 0 | Adam | 11.25 | +------------+----+-------+--------+ | 2014-11-12 | 1 | Smith | 12.25 | +------------+----+-------+--------+""" ).strip("\n") self.assertEqual(str(sheet), content) def test_sql_sheet(self): sheet = pe.get_sheet( session=Session(), table=Pyexcel, sheet_name="custom sheet", export_columns=["weight", "birth"], ) content = dedent( """ custom sheet: +--------+------------+ | weight | birth | +--------+------------+ | 11.25 | 2014-11-11 | +--------+------------+ | 12.25 | 2014-11-12 | +--------+------------+""" ).strip("\n") self.assertEqual(str(sheet), content) class TestEmptyTable: def setUp(self): Base.metadata.drop_all(engine) Base.metadata.create_all(engine) def test_empty_table(self): sheet = pe.get_sheet(session=Session(), table=Pyexcel) assert sheet is not None @raises(Exception) def test_save_as(self): data = [ ["birth", "name", "weight"], [datetime.date(2017, 1, 11), "Adam", 3.0], ] session = Session() pe.save_as(array=data, dest_session=session, dest_table=Pyexcel) sheet = pe.get_sheet(session=session, table=Pyexcel) eq_(str(sheet), "") def test_save_as_1(self): data = [ ["birth", "name", "weight"], [datetime.date(2017, 1, 11), "Adam", 3.0], ] session = Session() pe.save_as( array=data, name_columns_by_row=0, dest_session=session, dest_table=Pyexcel, ) sheet = pe.get_sheet(session=session, table=Pyexcel) print(sheet) content = dedent( """ pyexcel: +------------+----+------+--------+ | birth | id | name | weight | +------------+----+------+--------+ | 2017-01-11 | 1 | Adam | 3.0 | +------------+----+------+--------+""" ).strip("\n") eq_(str(sheet), content) pyexcel-0.7.0/tests/test_stringio.py000066400000000000000000000074731420202037400176050ustar00rootroot00000000000000import os import sys import pyexcel as pe from base import create_sample_file1 from _compact import BytesIO from nose.tools import eq_, raises def do_read_stringio(file_name): create_sample_file1(file_name) file_type = file_name.split(".")[-1] open_flag = "rb" if file_type in ["csv", "tsv"]: open_flag = "r" with open(file_name, open_flag) as f: content = f.read() r = pe.get_sheet(file_type=file_type, file_content=content) result = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", 1.1, 1] actual = list(r.enumerate()) eq_(result, actual) if os.path.exists(file_name): os.unlink(file_name) def do_book_read_stringio(file_name): create_sample_file1(file_name) file_type = file_name.split(".")[-1] open_flag = "rb" if file_type in ["csv", "tsv"]: open_flag = "r" with open(file_name, open_flag) as f: content = f.read() b = pe.get_book(file_type=file_type, file_content=content) result = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", 1.1, 1] actual = list(b[0].enumerate()) eq_(result, actual) if os.path.exists(file_name): os.unlink(file_name) def do_write_stringio(file_type): data = [[1, 2, 3], [4, 5, 6]] io = pe.save_as(dest_file_type=file_type, array=data) r = pe.get_sheet(file_type=file_type, file_content=io.getvalue()) result = [1, 2, 3, 4, 5, 6] actual = list(r.enumerate()) eq_(result, actual) def do_write_stringio2(file_type): data = [[1, 2, 3], [4, 5, 6]] r = pe.Sheet(data) getter = getattr(r, "get_" + file_type) content = getter() r = pe.load_from_memory(file_type, content) result = [1, 2, 3, 4, 5, 6] actual = list(r.enumerate()) eq_(result, actual) class TestIO: @raises(IOError) def test_wrong_io_input(self): pe.Reader(1000) def test_csv_stringio(self): do_read_stringio("cute.csv") def test_xls_stringio(self): do_read_stringio("cute.xls") def test_book_stringio(self): do_book_read_stringio("cute-book.xls") def test_csv_output_stringio(self): do_write_stringio("csv") def test_csv_output_stringio2(self): do_write_stringio2("csv") def test_csvz_stringio(self): do_read_stringio("cute.csvz") def test_csvz_output_stringio(self): do_write_stringio("csvz") def test_csvz_output_stringio2(self): do_write_stringio2("csvz") def test_tsvz_stringio(self): do_read_stringio("tsvz") def test_tsvz_output_stringio(self): do_write_stringio("tsvz") def test_tsvz_output_stringio2(self): do_write_stringio2("tsvz") def test_xls_output_stringio(self): do_write_stringio2("xls") def test_xlsm_output_stringio(self): do_write_stringio2("xlsm") def test_book_output_stringio(self): data = {"Sheet 1": [[1, 2, 3], [4, 5, 6]]} io = pe.save_book_as(dest_file_type="xlsm", bookdict=data) b = pe.load_book_from_memory("xlsm", io.getvalue()) result = [1, 2, 3, 4, 5, 6] actual = list(b[0].enumerate()) eq_(result, actual) def test_book_save_to_stringio(self): data = {"Sheet 1": [[1, 2, 3], [4, 5, 6]]} book = pe.Book(data) io = BytesIO() book.save_to_memory("xlsm", io) b = pe.load_book_from_memory("xlsm", io.getvalue()) result = [1, 2, 3, 4, 5, 6] actual = list(b[0].enumerate()) eq_(result, actual) def test_save_sheet_to_sys_stdout(): data = [[1]] sheet = pe.Sheet(data) stream = sheet.save_to_memory("csv", sys.stdout) eq_(stream.getvalue(), "1\r\n") def test_save_book_to_sys_stdout(): data = {"sheet": [[1]]} book = pe.Book(data) stream = book.save_to_memory("csv", sys.stdout) eq_(stream.getvalue(), "1\r\n") pyexcel-0.7.0/tests/test_utils.py000066400000000000000000000040051420202037400170730ustar00rootroot00000000000000import os from unittest import TestCase import pyexcel as pe from nose.tools import eq_, raises class TestToRecord(TestCase): def setUp(self): """ Make a test csv file as: 1,2,3,4 5,6,7,8 9,10,11,12 """ self.testfile = "test.xls" self.content = {"X": [1, 2, 3], "Y": [4, 5, 6], "Z": [7, 8, 9]} pe.save_as(dest_file_name=self.testfile, adict=self.content) def test_book_reader_to_records(self): r = pe.SeriesReader(self.testfile) result = [ {u"Y": 4.0, u"X": 1.0, u"Z": 7.0}, {u"Y": 5.0, u"X": 2.0, u"Z": 8.0}, {u"Y": 6.0, u"X": 3.0, u"Z": 9.0}, ] eq_(result, list(r.records)) @raises(ValueError) def test_index_sheet1(self): """Invalid input""" s = pe.Sheet([[1, 2, 3]], "test") list(s.to_records()) def test_index_sheet2(self): s = pe.ColumnSeriesReader(self.testfile, series=0) result = [ {"1": 4, "X": "Y", "3": 6, "2": 5}, {"1": 7, "X": "Z", "3": 9, "2": 8}, ] eq_(result, list(s.records)) def test_index_sheet3(self): s = pe.ColumnSeriesReader(self.testfile, series=0) headers = ["Row 1", "Row 2", "Row 3", "Row 4"] actual = s.to_records(headers) result = [ {"Row 4": 6.0, "Row 2": 4.0, "Row 1": "Y", "Row 3": 5.0}, {"Row 4": 9.0, "Row 2": 7.0, "Row 1": "Z", "Row 3": 8.0}, ] eq_(result, list(actual)) def test_book_reader_to_records_custom(self): """use custom header""" r = pe.SeriesReader(self.testfile) custom_headers = ["O", "P", "Q"] result = [ {u"P": 4.0, u"O": 1.0, u"Q": 7.0}, {u"P": 5.0, u"O": 2.0, u"Q": 8.0}, {u"P": 6.0, u"O": 3.0, u"Q": 9.0}, ] actual = r.to_records(custom_headers) eq_(result, list(actual)) def tearDown(self): if os.path.exists(self.testfile): os.unlink(self.testfile)