This notebook was prepared by Donne Martin. Source and license info is on GitHub.
In [1]:
    
from datetime import datetime, date, time
    
In [2]:
    
year = 2015
month = 1
day = 20
hour = 7
minute = 28
second = 15
    
In [3]:
    
dt = datetime(year, month, day, hour, minute, second)
    
In [4]:
    
dt.hour, dt.minute, dt.second
    
    Out[4]:
Extract the equivalent date object:
In [5]:
    
dt.date()
    
    Out[5]:
Extract the equivalent time object:
In [6]:
    
dt.time()
    
    Out[6]:
When aggregating or grouping time series data, it is sometimes useful to replace fields of a series of datetimes such as zeroing out the minute and second fields:
In [7]:
    
dt.replace(minute=0, second=0)
    
    Out[7]:
Format a datetime string:
In [8]:
    
dt.strftime('%m/%d/%Y %H:%M')
    
    Out[8]:
Convert a string into a datetime object:
In [9]:
    
datetime.strptime('20150120', '%Y%m%d')
    
    Out[9]:
Get the current datetime:
In [10]:
    
dt_now = datetime.now()
    
Subtract two datetime fields to create a timedelta:
In [11]:
    
delta = dt_now - dt
delta
    
    Out[11]:
Add a datetime and a timedelta to get a new datetime:
In [12]:
    
dt + delta
    
    Out[12]: