In [1]:

    

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from pandas import DataFrame, Series


    

In [2]:

    

from datetime import datetime
now = datetime.now()
now


    

    
Out[2]:





datetime.datetime(2016, 7, 21, 19, 16, 12, 527000)

In [3]:

    

now.year, now.month, now.day


    

    
Out[3]:





(2016, 7, 21)

In [4]:

    

delta = datetime(2011, 1, 7) - datetime(2008, 6, 24, 8, 15)
delta


    

    
Out[4]:





datetime.timedelta(926, 56700)

In [5]:

    

delta.days


    

    
Out[5]:





926

In [6]:

    

delta.seconds


    

    
Out[6]:





56700

In [7]:

    

from datetime import timedelta
start = datetime(2011, 1, 7)
start + timedelta(12)


    

    
Out[7]:





datetime.datetime(2011, 1, 19, 0, 0)

In [9]:

    

start - 2 * timedelta(12)


    

    
Out[9]:





datetime.datetime(2010, 12, 14, 0, 0)

In [10]:

    

now + timedelta(30)


    

    
Out[10]:





datetime.datetime(2016, 8, 20, 19, 16, 12, 527000)

In [12]:

    

stamp = datetime(2011, 1, 3)
str(stamp)


    

    
Out[12]:





'2011-01-03 00:00:00'

In [13]:

    

stamp.strftime('%Y-%m-%d')


    

    
Out[13]:





'2011-01-03'

In [14]:

    

value = '2011-01-03'
datetime.strptime(value, '%Y-%m-%d')


    

    
Out[14]:





datetime.datetime(2011, 1, 3, 0, 0)

In [15]:

    

datestrs = ['7/6/2011', '8/6/2011']
[datetime.strptime(x, '%m/%d/%Y') for x in datestrs]


    

    
Out[15]:





[datetime.datetime(2011, 7, 6, 0, 0), datetime.datetime(2011, 8, 6, 0, 0)]

In [16]:

    

from dateutil.parser import parse
parse('2011-01-03')


    

    
Out[16]:





datetime.datetime(2011, 1, 3, 0, 0)

In [17]:

    

parse('Jan 31, 1997 10:45 PM')


    

    
Out[17]:





datetime.datetime(1997, 1, 31, 22, 45)

In [18]:

    

parse('6/12/2011', dayfirst=True)


    

    
Out[18]:





datetime.datetime(2011, 12, 6, 0, 0)

In [19]:

    

datestrs


    

    
Out[19]:





['7/6/2011', '8/6/2011']

In [20]:

    

pd.to_datetime(datestrs)


    

    
Out[20]:





DatetimeIndex(['2011-07-06', '2011-08-06'], dtype='datetime64[ns]', freq=None)

In [21]:

    

idx = pd.to_datetime(datestrs + [None])
idx


    

    
Out[21]:





DatetimeIndex(['2011-07-06', '2011-08-06', 'NaT'], dtype='datetime64[ns]', freq=None)

In [22]:

    

idx[2]


    

    
Out[22]:





NaT

In [23]:

    

pd.isnull(idx)


    

    
Out[23]:





array([False, False,  True], dtype=bool)

In [24]:

    

parse('42')


    

    
Out[24]:





datetime.datetime(2042, 7, 21, 0, 0)

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