(1) Google Drive API, credentials
In order to follow along, you're going to need a spreadsheet. Head over to Google Sheets create one. Put a few dummy columns in there so you can programatically access it later.
Next, you'll need to create a service account and OAuth2 credentials from the Google API Console. Follow the steps below to enable the API and grab your credentials.
(2) Connecting Python to Google Sheets, writing a dataframe
First, you'll need to install pygsheets, which allows us to actually read/write to the sheet through Python. Once that's installed, you're all set. Here's an example of importing the credentials and writing some dummy data to the sheet using a Pandas dataframe:
import pygsheets import pandas as pd #authorization gc = pygsheets.authorize(service_file='/Users/erikrood/desktop/QS_Model/creds.json') # Create empty dataframe df = pd.DataFrame() # Create a column df['name'] = ['John', 'Steve', 'Sarah'] #open the google spreadsheet (where 'PY to Gsheet Test' is the name of my sheet) sh = gc.open('PY to Gsheet Test') #select the first sheet wks = sh #update the first sheet with df, starting at cell B2. wks.set_dataframe(df,(1,1))
(3) Done - Check your sheet for the data we pushed in the above step
Voila! The spreadsheet you created should now be populated with your dataframe: