Extracting just Month and Year separately from Pandas Datetime column

Question

I have a Dataframe, df, with the following column:

df[\'ArrivalDate\'] =
...
936   2012-12-31
938   2012-12-29
965   2012-12-31
966   2012-12-31
967   2012-1         


        

Answer 1

Thanks to jaknap32, I wanted to aggregate the results according to Year and Month, so this worked:

df_join['YearMonth'] = df_join['timestamp'].apply(lambda x:x.strftime('%Y%m'))

Output was neat:

0    201108
1    201108
2    201108