【Python】Transforming datetime to date and time with pandas dateframe


Original Data

This code is to make sample dataframe.

import pandas as pd
import datetime as dt

df = pd.DataFrame([dt.datetime(2020,6,1,0,0,0),dt.datetime(2020,6,2,10,0,0),dt.datetime(2020,6,3,15,0,0)],columns=['datetimes'])
0	2020-06-01 00:00:00
1	2020-06-02 10:00:00
2	2020-06-03 15:00:00

Transforming dataframe to date and time.

It can realize to use lambda & apply functions like following.

df['dates'] = df['datetimes'].apply(lambda x :,x.month,
df['times'] = df['datetimes'].apply(lambda x : dt.time(x.hour,x.minute,x.second))
     datetimes	     dates  	times
0	2020-06-01 00:00:00	2020-06-01	00:00:00
1	2020-06-02 10:00:00	2020-06-02	10:00:00
2	2020-06-03 15:00:00	2020-06-03	15:00:00

If you want to get with string, these code is better.

df['dates'] = df['datetimes'].apply(lambda x : x.strftime('%Y/%m/%d'))
df['times'] = df['datetimes'].apply(lambda x : x.strftime('%H:%M:%S'))
	datetimes	        dates	        times
0	2020-06-01 00:00:00	2020/06/01	00:00:00
1	2020-06-02 10:00:00	2020/06/02	10:00:00
2	2020-06-03 15:00:00	2020/06/03	15:00:00




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