1import datetime
2
3date_time_str = '2018-06-29 08:15:27.243860'
4date_time_obj = datetime.datetime.strptime(date_time_str, '%Y-%m-%d %H:%M:%S.%f')
5
6print('Date:', date_time_obj.date())
7print('Time:', date_time_obj.time())
8print('Date-time:', date_time_obj)
9
1from datetime import datetime
2
3datetime_str = '09/19/18 13:55:26'
4
5datetime_object = datetime.strptime(datetime_str, '%m/%d/%y %H:%M:%S')
6
7print(type(datetime_object))
8print(datetime_object) # printed in default format
9
1from datetime import datetime
2
3datetime_object = datetime.strptime('Jun 1 2005 1:33PM', '%b %d %Y %I:%M%p')
1df['date_time']=pd.to_datetime(df['date_time'], format='%d-%m-%Y %H.%M.%S')
2#fomrat given in code should match the format of the feature
3#here--> df['date_time'][0]=10-03-2004 18.00.00
4#watchout for the blanks '-' '.'
1datetime.datetime.combine(datetime.datetime.now(), datetime.datetime.min.time())