Pandas DataFrame & Google sheets

Python Google sheets

Creating Google sheets

Create one folder inside your google drive, give the name as python-test.
Give Share authorization ( Share with people and group ) to Google API service account you are using.
Google API authorization and Share at Part 1 here
Creating one new File my_sheet1 ( google sheet ) inside python-test directory.
import pygsheets
path='G:\\My drive\\testing\\google-sheet\\creds1.json'


set_dataframe(df, start, copy_index=False, copy_head=True, 
	extend=False, fit=False, escape_formulae=False, **kwargs)
dfPandas DataFrame
startStaring Point tuple ( row, column). It is (1,1) in below example
copy_indexDefault False, Copy Index data from DataFrame
copy_headTrue ( default ), column headers of Pandas DataFrame is copied.
extendFalse( default) If required add columns and rows ( see example )
fitFalse(default), Resize to fit all data in DataFrame if required
escape_formulaeHow to handle formula ( value with = or +- sign )
nanReplace NaN values with
Create Pandas DataFrame and then store the same inside our google sheets my_sheet1.
wk1=sh[0] # first worksheet 
import pandas as pd  # importing Pandas library
df = pd.DataFrame(data=my_dict) # creating DataFrame

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