How can I split a DataFrame column with datetimes into two columns: one with dates and one with times of the day?

Question

I have a data frame called data, which has a column Dates like this,

                 Dates
0  2015-05-13 23:53:00
1  2015-05-13 23         


        

Answer 1

attrgetter + pd.concat + join

You can use operator.attrgetter with pd.concat to add an arbitrary number of datetime attributes to your dataframe as separate series:

from operator import attrgetter

fields = ['date', 'time']
df = df.join(pd.concat(attrgetter(*fields)(df['Date'].dt), axis=1, keys=fields))

print(df)

                 Date        date      time
0 2015-05-13 23:53:00  2015-05-13  23:53:00
1 2015-01-13 15:23:00  2015-01-13  15:23:00
2 2016-01-13 03:33:00  2016-01-13  03:33:00
3 2018-02-13 20:13:25  2018-02-13  20:13:25
4 2017-05-12 06:52:00  2017-05-12  06:52:00