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Simple-to-use wrapper for accessing Google Spreadsheets in Python.

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GoogleSheets

googlesheets provides a simple wrapper to read and write data in a Google Spreadsheet in a way that resembles using the dataset library. Each sheet within a spreadsheet can be read and written to using a row-based approach. Headers are stored in the top row and normalized according to Google's API convention.

Please note that gspread is a more mature library with a more procedural API. If you want to access cells within your spreadsheets directly (ie. by their address), then use that library instead.

Installation

The easiest way of using googlesheets is via PyPI:

$ pip install googlesheets

Alternatively, check out the repository from GitHub and install it locally:

$ git clone https://github.com/pudo/googlesheets.git
$ cd googlesheets
$ python setup.py develop

The library depends on Google's own Python service bindings, which will be installed as a dependency.

Usage

To use googlesheets, you need to provide valid Google account credentials which have permission to access the spreadsheet you intend to work on. These credentials can be given either through the GOOGLE_USER and GOOGLE_PASSWORD environment variables, or by passing google_user and google_password directly to the Spreadsheet classmethods, like open, create, by_id and by_title.

Here's an example of using the library to access, read and update rows in a Google Spreadsheet:

from googlesheets import Spreadsheet

# This will either create or open a spreadsheet:
spreadsheet = Spreadsheet.open('Things I know')

# You can also choose what to do explicitly:
spreadsheet = Spreadsheet.by_title('Things I know')
spreadsheet = Spreadsheet.create('Things I know')

# Or open a document by it's ID:
spreadsheet = Spreadsheet.by_id('07ej6bb...')

# List all the sheets (tabs) in the given spreadsheet:
for sheet in spreadsheet:
	print sheet, sheet.title
	
# You can access sheets by name (this will create one implicitly
# if the given name does not exist):
sheet = spreadsheet['Sheet 1']

# And you can re-name them:
sheet.title = 'Cheatsheet'

# Next iterate over the data in this sheet:
for row in sheet:
	print row
	
# Or retrieve a filtered version, based on column names and their
# values:
for row in sheet.find(foo='bar'):
	assert row['foo'] == 'bar', row['foo']

# Insert some data:
sheet.insert({'foo': "I'm a banana!", 'bar': "And how."})

# Update and upsert it, based on the fields named in the second
# argument:
sheet.update({'foo': "I'm a banana!", 'bar': "No you're not."}, ['foo'])
sheet.upsert({'foo': "I'm a bean!", 'bar': "Very tasty."}, ['foo'])

# Finally, you can remove rows:
sheet.remove(foo="I'm a bean!")

# Or the entire sheet:
sheet.delete()

License

googlesheets is open source, licensed under a standard MIT license (included in this repository as LICENSE).

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Simple-to-use wrapper for accessing Google Spreadsheets in Python.

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