2016-02-22 14:59:44.561776

df = pd.DataFrame({'my_timestamp': pd.date_range('2016-1-1 15:00', periods=5)})

>>> df
         my_timestamp
0 2016-01-01 15:00:00
1 2016-01-02 15:00:00
2 2016-01-03 15:00:00
3 2016-01-04 15:00:00
4 2016-01-05 15:00:00

df['new_date'] = [d.date() for d in df['my_timestamp']]
df['new_time'] = [d.time() for d in df['my_timestamp']]

>>> df
         my_timestamp    new_date  new_time
0 2016-01-01 15:00:00  2016-01-01  15:00:00
1 2016-01-02 15:00:00  2016-01-02  15:00:00
2 2016-01-03 15:00:00  2016-01-03  15:00:00
3 2016-01-04 15:00:00  2016-01-04  15:00:00
4 2016-01-05 15:00:00  2016-01-05  15:00:00

df = pd.DataFrame({'full_date': pd.date_range('2016-1-1 10:00:00.123', periods=10, freq='5H')})
df['date'] = df['full_date'].dt.date
df['time'] = df['full_date'].dt.time

In [166]: df
Out[166]:
                full_date        date             time
0 2016-01-01 10:00:00.123  2016-01-01  10:00:00.123000
1 2016-01-01 15:00:00.123  2016-01-01  15:00:00.123000
2 2016-01-01 20:00:00.123  2016-01-01  20:00:00.123000
3 2016-01-02 01:00:00.123  2016-01-02  01:00:00.123000
4 2016-01-02 06:00:00.123  2016-01-02  06:00:00.123000
5 2016-01-02 11:00:00.123  2016-01-02  11:00:00.123000
6 2016-01-02 16:00:00.123  2016-01-02  16:00:00.123000
7 2016-01-02 21:00:00.123  2016-01-02  21:00:00.123000
8 2016-01-03 02:00:00.123  2016-01-03  02:00:00.123000
9 2016-01-03 07:00:00.123  2016-01-03  07:00:00.123000

df["date"] = df["timestamp"].date
dt["time"] = dt["timestamp"].time

from datetime import datetime
data1["timestamp"] = df["timestamp"].apply(lambda x:
    datetime.strptime(x,"%Y-%m-%d %H:%M:%S.%f"))

from datetime import datetime

timestamp = '2016-02-22 14:59:44.561776'
dt = datetime.strptime(timestamp, '%Y-%m-%d %H:%M:%S.%f')

s = '2016-02-22 14:59:44.561776'

date,time = s.split()

hour, minute, second = time.split(':')

def time_date(datetime_obj):
    date_time = datetime_obj.split(' ')
    time = date_time[1].split('.')
    return date_time[0], time[0]

import pandas as pd
df = pd.read_csv(file_path)

df['Dates'] = pd.to_datetime(df['date']).dt.date
df['Time'] = pd.to_datetime(df['date']).dt.time