Managing google sheets from Python pygsheets using Google API authorization.

Authorization through Google drive API to connect to google sheets from Python pygsheets library

Authorizing pygsheets

Read more about Authorizing pygsheets here .

https://pygsheets.readthedocs.io/en/stable/authorization.html

Google Sheets API

After logging in to your google account, visit this URL
https://console.cloud.google.com/apis/
GO to APIs overview
(Create a new project if not created.)
Click Credentials ( at left side menu )
Google API credentials

Create credentials > Service Account

Service Account Details ( enter details )
Select the service account just created.
Visit Keys tab at top
Add Key > Create a New Key ( download the JSON file Save it in your computer and note the path. )
download Json file

Service account email address (select service account details for edit ) to be given share access to the directory or to the file or directory to work with. Don't forget to enable Google Drive API for your project.

Connecting to google drive

import pygsheets
path='G:\\My drive\\testing\\google-sheet\\creds1.json'
gc = pygsheets.authorize(service_account_file=path)

Opening the file and adding data

sh = gc.open('pythontest') # Open the google sheet phthontest
wks = sh[0] # select the first sheet 
wks.update_col(2,['ab','cd','ef']) # add list to 2nd column

Information about the google sheet

sh = gc.open('pythontest') # Open the google sheet phthontest
print(sh.id) #  id of the sheet 
print(sh.title) # pythontext  output as title
print(sh.url) # address of the file to open in browser
print(sh.updated) # last updated date and time of the file

Let us work on first sheet.

wk1 = sh[0] # select the first worksheet 
print('Rows: ',wk1.rows) # Rows : 1000
print('Columns: ',wk1.cols) # Columns: 26

Collect data from cell and update the same

print(wk1.get_value('B2')) # data at cell B2 
print(wk1.cell((2,2)).value) # data at row_number=2 col_number=2 ( B2)

Print all values of the worksheet

print(wk1.get_all_values(),include_tailing_empty=False)

Updating values at cell

wk1.update_value('A1',5)      #  Store  5 at A1
wk1.update_value('A2',10)     #  Store 10 at A2
wk1.update_value('A3','=A1+A2',True) # Add data at A1 and A2 and store at A3

The third parameter parse if False then the data is typed and not evaluated and placed.

updating with parse=False in google sheet

Update the parse to True again and change the value at A1. The SUM will be reflected at A3.

wk1.update_value('A1',20)  #  Update 20 at A1

Delete value using clear

wk1.clear('B3','C5') # clear data from grid B3 to C5

Deleting data over a range in google sheet

wk1.clear('*','*') # clear all cells

Getting all row values and all column values as List. If we make the include_trailing_empty=True then all blanks after the last value will be included.

print(wk1.get_row(2,include_tailing_empty=False))
#['12', '34', 'ab', 'cd', '55', 'cv']
print(wk1.get_col(3,include_tailing_empty=False))
#['', 'ab', 'Al', '45']

Getting rows and columns as list from google sheet

Inserting rows and columns

#insert after row 2 , one row with these values 
wk1.insert_rows(row =2, number = 1, values =['BB', 40,'CC',60,'DD'])
#insert after col 3 ,one column with the values
wk1.insert_cols(col =3, number = 1, values =['','kk','tt',34, 40])

Inserting row and column in google sheet

Using Google sheets data as option of Combobox

Combobox Options from Python Google sheets

We can collect data from google sheet and add as options for a Combobox by using pygsheets library and google drive API.
Options of Combobox from Google sheet data

Data Transfer from Google sheets to MySQL and vice versa

Data Transfer from googel sheet to MySQL and vice versa

By using Pandas DataFrame we can transfer data from MySQL database table to Google sheets and from Google sheets to MySQL.
Data Transfer between Google sheet and MySQL
Data Transfer between Google sheet and SQLite

Pandas DataFrame to Google sheet by set_dataframe get_as_df() append_table() Treeview from Google sheet data
Collecting kyeword suggestions from Google and storing in Google sheets

Pandas DataFrame Python- Tutorials

Subhendu Mohapatra

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Managing Google sheet from Python