Appending pandas Data Frame to Google spreadsheet

Question

Case: My script returns a data frame that needs has to be appended to an existing google spreadsheet as new rows of data.As of now, I\'m appending a data frame as multiple s

Answer 1

Here is the code to write, append(without loading the existing sheet into memory), and read to google sheets.

import gspread_dataframe as gd
import gspread as gs
gc = gs.service_account(filename="your/cred/file.json")

def export_to_sheets(worksheet_name,df,mode='r'):
    ws = gc.open("SHEET_NAME").worksheet("worksheet_name")
    if(mode=='w'):
        ws.clear()
        gd.set_with_dataframe(worksheet=ws,dataframe=df,include_index=False,include_column_header=True,resize=True)
        return True
    elif(mode=='a'):
        ws.add_rows(df.shape[0])
        gd.set_with_dataframe(worksheet=ws,dataframe=df,include_index=False,include_column_header=False,row=ws.row_count+1,resize=False)
        return True
    else:
        return gd.get_as_dataframe(worksheet=ws)
    
df = pd.DataFrame.from_records([{'a': i, 'b': i * 2} for i in range(100)])
export_to_sheets("SHEET_NAME",df,'a')

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1. Write Mode: First clear existing worksheet => ws.clear() .Second using set_with_dataframe() uploading the dataframe, here note that resize=True, which strictily set the row and col in worksheet to df.shape. This will help later in append method.
2. Append Mode: First, add rows according to the dataframe. Second setting the parameter resize=False as we are adding rows and row=ws.row_count+1 anchoring its row value for append.
3. Read Mode(Default): returns a dataframe