在 gspread_pandas 中使用 df_to_sheet 时锁定列以防止删除

Question

I am using a gspread_pandas + internal library that helps me get data from sfdc and paste it into a G-Sheet that has columns AN for data and OQ has formulas working off on the data. This data needs to be updated daily and NOT appended in the sense that the code needs to clear info from Col AN and replace it with the latest data.

The issue is that when the code runs it is removing EVERYTHING on my G-Sheet including OQ which has formulas.

I am at a loss here because it is not feasible for me to keep the data and working sheets separately as this adds a lot of space pressure to the G-Sheet to have one sheet with data and another sheet with data+formulas.

Here is my code:

import pandas as pd
from gspread_pandas import Spread

import sys
sys.path.append("/files/apac")

import datascience_APAC as ds

data = ds.sfdcApi_to_pd("00O3a000004xr80")

wkbk = Spread("****@gmail.com", "1F1XUTuRTV6nLcTImDAuDTTWFpSVfUAKY7t3oElkhWBo")

wkbk.clear_sheet(sheet="Test")
time.sleep(5)
wkbk.df_to_sheet(data, index=False, replace=True, sheet="Test")

The issue here is that df_to_sheet has parameters that coerce it to start from a particular column and row but does not have a parameter for the number of columns to determine what to clear and therefore clears everything including my formulas.

Please help this newbie. :)

Answer 1

I use.values_clear() from gspread library:

#use your own credentials to login
from google.colab import auth
auth.authenticate_user()

import gspread
from oauth2client.client import GoogleCredentials

gc = gspread.authorize(GoogleCredentials.get_application_default())

sh = gc.open_by_key("1F1XUTuRTV6nLcTImDAuDTTWFpSVfUAKY7t3oElkhWBo") #your file key 

sh.values_clear("Test!A:J") #example range, use your own as per need