Package: df2gspread
Transfer data between Google Spreadsheets and Pandas DataFrame.DescriptionPython library that provides possibility to transport table-data
between Google Spreadsheets and Pandas DataFrame for further
management or processing.
Can be useful in all cases, when you need to handle the data
located in Google Drive.StatusLatest ReleaseBuildDocsLicenseInstallExample install, using VirtualEnv:# install/use python virtual environmentvirtualenv~/virtenv_scratch--no-site-packages# activate the virtual environmentsource~/virtenv_scratch/bin/activate# upgrade pip in the new virtenvpipinstall-Upipsetuptools# install this package in DEVELOPMENT mode
# python setup.py develop# simply install
# python setup.py install# or install via pippipinstalldf2gspreadAccess CredentialsTo allow a script to use Google Drive API we need to authenticate
our self towards Google.  To do so, we need to create a project,
describing the tool and generate credentials. Please use your web
browser and go toGoogle consoleand :Choose“Create Project”in popup menu on the top.A dialog box appears, so give your project a name and click on“Create”button.On the left-side menu click on“API Manager”.A table of available APIs is shown. Switch“Drive API”and click on“Enable API”button. Other APIs might be switched off, for our purpose.On the left-side menu click on“Credentials”.In section“OAuth consent screen”select your email address and give your product a name. Then click on“Save”button.In section“Credentials”click on“Add credentials”and switch“OAuth 2.0 client ID”.A dialog box“Create Cliend ID”appears. Select“Application type”item as“Other”.Click on“Create”button.Click on“Download JSON”icon on the right side of created“OAuth 2.0 client IDs”and store the downloaded file on your file system. Please be aware, the file contains your private credentials, so take care of the file in the same way you care of your private SSH key; i.e. move downloaded JSON file to~/.gdrive_private.Then, the first time you run it your browser window will open a google authorization request page. Approve authorization and then the credentials will work as expected.UsageRun df2gspread like:fromdf2gspreadimportdf2gspreadasd2gimportpandasaspdd=[pd.Series([1.,2.,3.],index=['a','b','c']),pd.Series([1.,2.,3.,4.],index=['a','b','c','d'])]df=pd.DataFrame(d)# use full path to spreadsheet filespreadsheet='/some/folder/New Spreadsheet'# or spreadsheet file id# spreadsheet = '1cIOgi90...'wks_name='New Sheet'd2g.upload(df,spreadsheet,wks_name)# if spreadsheet already exists, all data of provided worksheet(or first as default)# will be replaced with data of given DataFrame, make sure that this is what you need!Run gspread2df like:fromdf2gspreadimportgspread2dfasg2d# use full path to spreadsheet filespreadsheet='/some/folder/New Spreadsheet'# or spreadsheet file id# spreadsheet = '1cIOgi90...'wks_name='New Sheet'df=g2d.download(spreadsheet,wks_name,col_names=True,row_names=True)DocumentationDocumentation is availablehere.TestingTesting is py.test based. Run with:py.testtests/-vOr withcoverage:coveragerun--sourcedf2gspread-mpy.testcoveragereportDevelopmentInstall the supplied githooks; eg:ln -s ~/repos/df2gspread/_githooks/commit-msg ~/repos/df2gspread/.git/hooks/commit-msg
ln -s ~/repos/df2gspread/_githooks/pre-commit ~/repos/df2gspread/.git/hooks/pre-commit