Last Day previous Month

I have this dataframe

import pandas as pd

df = pd.DataFrame({'Found':['A','A','A','A','A','B','B','B'],
           'Date':['14/10/2021','19/10/2021','29/10/2021','30/09/2021','20/09/2021','20/10/2021','29/10/2021','15/10/2021','10/09/2021'],
           'LastDayMonth':['29/10/2021','29/10/2021','29/10/2021','30/09/2021','30/09/2021','29/10/2021','29/10/2021','29/10/2021','30/09/2021'],
           'Mark':[1,2,3,4,3,1,2,3,2]

          })
print(df)

    Found     Date   LastDayMonth  Mark
0     A  14/10/2021   29/10/2021     1
1     A  19/10/2021   29/10/2021     2
2     A  29/10/2021   29/10/2021     3
3     A  30/09/2021   30/09/2021     4
4     A  20/09/2021   30/09/2021     3
5     B  20/10/2021   29/10/2021     1
6     B  29/10/2021   29/10/2021     2
7     B  15/10/2021   29/10/2021     3
8     B  10/09/2021   30/09/2021     2

based on this dataframe I need to create a new column that is the "Mark" of the last day of the month to form this new column.

that is, I need the value of the ‘Mark’ column of the last day of the month of each Found

how i did

mark_last_day = df.loc[df.apply(lambda x: x['Date']==x['LastDayMonth'], 1)]


df.merge(mark_last_day[['Found', 'LastDayMonth', 'Mark']],
 how='left',
 on=['Found', 'LastDayMonth'],
 suffixes=('', '_LastDayMonth'))

# Output
Found   Date    LastDayMonth    Mark    Mark_LastDayMonth
0   A   14/10/2021  29/10/2021  1       3
1   A   19/10/2021  29/10/2021  2       3
2   A   29/10/2021  29/10/2021  3       3
3   A   30/09/2021  30/09/2021  4       4
4   A   20/09/2021  30/09/2021  3       4 
5   B   20/10/2021  29/10/2021  1       2
6   B   29/10/2021  29/10/2021  2       2
7   B   15/10/2021  29/10/2021  3       2

So far so good but I’m having trouble creating a new column with the Mark_LastDayMonth of the previous month or I need the last day of the current month and the previous month
how do i do it

Ex.

    Found   Date    LastDayMonth    Mark    Mark_LastDayMonth    Mark_LastDayPrevious_Month
0     A  14/10/2021   29/10/2021     1       3                     4
1     A  19/10/2021   29/10/2021     2       3                     4
2     A  29/10/2021   29/10/2021     3       3                     4
3     A  30/09/2021   30/09/2021     4       4                     x
4     A  20/09/2021   30/09/2021     3       4                     x
5     B  20/10/2021   29/10/2021     1       2                     1
6     B  29/10/2021   29/10/2021     2       2                     1
7     B  15/10/2021   29/10/2021     3       2                     1
8     B  10/09/2021   30/09/2021     1       1                     x

>Solution :

Use the date offset MonthEnd

from pandas.tseries.offsets import MonthEnd

df['LastDayPreviousMonth'] = df['Date'] - MonthEnd()

>>> df[['Date', 'LastDayPreviousMonth']]

        Date LastDayPreviousMonth
0 2021-10-14           2021-09-30
1 2021-10-19           2021-09-30
2 2021-10-29           2021-09-30
3 2021-09-30           2021-08-31
4 2021-09-20           2021-08-31
5 2021-10-20           2021-09-30
6 2021-10-29           2021-09-30
7 2021-10-15           2021-09-30

Then do a similarly merge as you did for ‘LastDayMonth’.

Does this help you complete the solution?

Note: I’m assuming ‘Date’ and ‘LastDayPreviousMonth’ are datetime-like. If they aren’t you need to convert them first using

df[['Date', 'LastDayMonth']] = df[['Date', 'LastDayMonth']].apply(pd.to_datetime)