在 pandas 中按月份和年份过滤 Dataframe

Question

I have a dataframe from which I am getting month and year values in a column like the following:

temp dd   delivery_month       
0        02-2021      #mm-yyyy
1        01-2021      
2        02-2021  
3        02-2021  

I want to use the month and year from all of the rows in that column to filter another dataframe but I got the following error:

Can only use.dt accessor with datetimelike values

The date in the second dataframe is like the following:

 allot_df['dispatch_date'][0]   06-01-2020

I tried the following but it doesn't work

    for row in temp_dd.itertuples():

        allot_df = allot_df[allot_df['dispatch_date'].dt.month == row.delivery_month[:2]]

where temp_dd is the first dataframe

How can I filter the allot_df dataframe by both month and year from temp_dd ?

Answer 1

I think problem is values not datetimes, if format mm-YYYY use:

allot_df['dispatch_date'] = pd.to_datetime(allot_df['dispatch_date'], format='%m-%Y')