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Pythonic wrapper for the Google Sheets API

gsheets

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gsheets is a small wrapper around the Google Sheets API_ (v4) to provide more convenient access to Google Sheets_ from Python scripts.

Turn on the API_, download an OAuth client ID as JSON file, and create a Sheets object from it. Use its index access (__getitem__) to retrieve SpreadSheet objects by their id, or use .get() with a sheet URL. Iterate over the Sheets object for all spreadsheets, or fetch spreadsheets by title with the .find() and .findall() methods.

SpreadSheet objects are collections of WorkSheets, which provide access to the cell values via spreadsheet coordinates/slices (e.g. ws['A1']) and zero-based cell position (e.g. ws.at(0, 1)).

Save WorkSheets (or all from a SpreadSheet) as CSV files with the .to_csv()-method. Create pandas.DataFrames from worksheet with the .to_frame()-method.

Links

  • GitHub: https://github.com/xflr6/gsheets
  • PyPI: https://pypi.org/project/gsheets/
  • Documentation: https://gsheets.readthedocs.io
  • Changelog: https://gsheets.readthedocs.io/en/latest/changelog.html
  • Issue Tracker: https://github.com/xflr6/gsheets/issues
  • Download: https://pypi.org/project/gsheets/#files

Installation

This package runs under Python 3.8+, use pip_ to install:

.. code:: bash

$ pip install gsheets

This will also install google-api-python-client_ and its dependencies, notably httplib2_ and oauth2client_, as required dependencies.

Quickstart

Log into the Google Developers Console_ with the Google account whose spreadsheets you want to access. Create (or select) a project and enable the Drive API and Sheets API (under Google Apps APIs).

Go to the Credentials for your project and create New credentials > OAuth client ID > of type Other. In the list of your OAuth 2.0 client IDs click Download JSON for the Client ID you just created. Save the file as client_secrets.json in your home directory (user directory). Another file, named storage.json in this example, will be created after successful authorization to cache OAuth data.

On you first usage of gsheets with this file (holding the client secrets), your webbrowser will be opened, asking you to log in with your Google account to authorize this client read access to all its Google Drive files and Google Sheets.

Create a sheets object:

.. code:: python

>>> from gsheets import Sheets

>>> sheets = Sheets.from_files('~/client_secrets.json', '~/storage.json')
>>> sheets  #doctest: +ELLIPSIS
<gsheets.api.Sheets object at 0x...>

Fetch a spreadsheet by id or url:

.. code:: python

# id only
>>> sheets['1dR13B3Wi_KJGUJQ0BZa2frLAVxhZnbz0hpwCcWSvb20']
<SpreadSheet 1dR13...20 'Spam'>

# id or url
>>> url = 'https://docs.google.com/spreadsheets/d/1dR13B3Wi_KJGUJQ0BZa2frLAVxhZnbz0hpwCcWSvb20'
>>> s = sheets.get(url)  
>>> s
<SpreadSheet 1dR13...20 'Spam'>

Access worksheets and their values:

.. code:: python

# first worksheet with title
>>> s.find('Tabellenblatt2')
<WorkSheet 1747240182 'Tabellenblatt2' (10x2)>

# worksheet by position, cell value by index
>>> s.sheets[0]['A1']
'spam'

# worksheet by id, cell value by position
>>> s[1747240182].at(row=1, col=1)
1

Dump a worksheet to a CSV file:

.. code:: python

>>> s.sheets[1].to_csv('Spam.csv', encoding='utf-8', dialect='excel')

Dump all worksheet to a CSV file (deriving filenames from spreadsheet and worksheet title):

.. code:: python

>>> csv_name = lambda infos: '%(title)s - %(sheet)s.csv' % infos
>>> s.to_csv(make_filename=csv_name)

Load the worksheet data into a pandas DataFrame (requires pandas):

.. code:: python

>>> s.find('Tabellenblatt2').to_frame(index_col='spam')
      eggs
spam      
spam  eggs
...

WorkSheet.to_frame() passes its kwargs on to pandas.read_csv()

See also

  • gsheets.py_ |--| self-containd script to dump all worksheets of a Google Spreadsheet to CSV or convert any subsheet to a pandas DataFrame (Python 2 prototype for this library)
  • gspread_ |--| Google Spreadsheets Python API (more mature and featureful Python wrapper, updated to API v4)
  • example Jupyter notebook_ using gspread_ to fetch a sheet into a pandas DataFrame
  • df2gspread_ |--| Transfer data between Google Spreadsheets and Pandas (build upon gspread_, currently Python 2 only, GPL)
  • pygsheets_ |--| Google Spreadsheets Python API v4 (v4 port of gspread_ providing further extensions)
  • gspread-pandas_ |--| Interact with Google Spreadsheet through Pandas DataFrames
  • pgsheets_ |--| Manipulate Google Sheets Using Pandas DataFrames (independent bidirectional transfer library, using the legacy v3 API_, Python 3 only)
  • PyDrive_ |--| Google Drive API made easy (google-api-python-client_ wrapper for the Google Drive_ API, currently v2)

License

This package is distributed under the MIT license_.

.. _Google Sheets API: https://developers.google.com/sheets/ .. _Google Sheets: https://sheets.google.com .. _Google Drive: https://drive.google.com .. _Turn on the API: https://developers.google.com/sheets/quickstart/python#step_1_turn_on_the_api_name

.. _pip: https://pip.readthedocs.io .. _google-api-python-client: https://pypi.org/project/google-api-python-client/ .. _httplib2: https://pypi.org/project/httplib2/ .. _oauth2client: https://pypi.org/project/oauth2client/ .. _rsa: https://pypi.org/project/rsa/

.. _Google Developers Console: https://console.developers.google.com

.. _gsheets.py: https://gist.github.com/xflr6/57508d28adec1cd3cd047032e8d81266 .. _gspread: https://pypi.org/project/gspread/ .. _legacy v3 API: https://developers.google.com/google-apps/spreadsheets/ .. _example Jupyter notebook: https://gist.github.com/egradman/3b8140930aef97f9b0e4 .. _df2gspread: https://pypi.org/project/df2gspread/ .. _pygsheets : https://pypi.org/project/pygsheets/ .. _gspread-pandas: https://pypi.org/project/gspread-pandas/ .. _pgsheets: https://pypi.org/project/pgsheets/ .. _PyDrive: https://pypi.org/project/PyDrive/

.. _MIT license: https://opensource.org/licenses/MIT

.. |--| unicode:: U+2013

.. |PyPI version| image:: https://img.shields.io/pypi/v/gsheets.svg :target: https://pypi.org/project/gsheets/ :alt: Latest PyPI Version .. |License| image:: https://img.shields.io/pypi/l/gsheets.svg :target: https://github.com/xflr6/gsheets/blob/master/LICENSE.txt :alt: License .. |Supported Python| image:: https://img.shields.io/pypi/pyversions/gsheets.svg :target: https://pypi.org/project/gsheets/ :alt: Supported Python Versions .. |Wheel| image:: https://img.shields.io/pypi/wheel/gsheets.svg :target: https://pypi.org/project/gsheets/#files :alt: Wheel format

.. |Build| image:: https://github.com/xflr6/gsheets/actions/workflows/build.yaml/badge.svg?branch=master :target: https://github.com/xflr6/gsheets/actions/workflows/build.yaml?query=branch%3Amaster :alt: Build .. |Codecov| image:: https://codecov.io/gh/xflr6/gsheets/branch/master/graph/badge.svg :target: https://codecov.io/gh/xflr6/gsheets :alt: Codecov .. |Readthedocs-stable| image:: https://readthedocs.org/projects/gsheets/badge/?version=stable :target: https://gsheets.readthedocs.io/en/stable/?badge=stable :alt: Readthedocs stable .. |Readthedocs-latest| image:: https://readthedocs.org/projects/gsheets/badge/?version=latest :target: https://gsheets.readthedocs.io/en/latest/?badge=latest :alt: Readthedocs latest

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Pythonic wrapper for the Google Sheets API

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