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

There is two steps to extract year for all the dataframe without using method apply.

Step1

convert the column to datetime :

df['ArrivalDate']=pd.to_datetime(df['ArrivalDate'], format='%Y-%m-%d')

Step2

extract the year or the month using DatetimeIndex() method

 pd.DatetimeIndex(df['ArrivalDate']).year