How do I add a column to my dataframe which indicates datemodified minus 1 month of a file in os dir-CodePudding

I have a dataframe called temp

temp
Partner Zip Phone
VIP     002 267...

I have a script that goes through my os directory and adds data to these columns I wanted a new column called FileMonth where if lets say a file was dropped in the directory today 7/9/2022, the file month should indicate DateModified minus 1 month. in this case June(MM-YYYY)

Partner Zip Phone FileMonth
VIP     002 267.. 06-2022

Im currently doing-

temp['File Month'] = (dt.replace(day=1)-pd.DateOffset(days=1)).strftime("%m-%Y")

But since this is not based on datemodified in os directory, im getting most recent month for all files, which shouldnt be the case since some files were dropped in os even in april and may. How do I get temp['File Month'] to be the datemodified - 1 month as per directory.

CodePudding user response：

Given a list of file paths you can invoke os.path.getmtime() to obtain the timestamp (in seconds) at which the file was last modified. .replace(month = ...) allows you to decrease the date's month by one.

The code is given by

import os
from datetime import datetime

dateModList = []
for filePath in filePathList:
    ts_mod   = datetime.fromtimestamp(os.path.getmtime(filePath))  # extract modified timestamp
    ts_mod   = ts_mod.replace(month = ts_mod.month - 1)            # shift by 1 month
    date_mod = datetime.strftime(ts_mod, '%m-%Y')                  # to str
 
    dateModList.append(date_mod)

# assign column
temp['File Month'] = dateModList