Python | Pandas Timestamp.date (original) (raw)

Last Updated : 08 Jan, 2019

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas **Timestamp.date()** function return a datetime object with same year, month and day as that of the given Timestamp object.

Syntax : Timestamp.date()

Parameters : None

Return : date

Example #1: Use Timestamp.date() function to return the date of the given Timestamp object as a datetime object.

import pandas as pd

ts = pd.Timestamp(year = 2011 , month = 11 , day = 21 ,

`` hour = 10 , second = 49 , tz = 'US/Central' )

print (ts)

Output :

Now we will use the Timestamp.date() function to return the date as a datetime object.

Output :

As we can see in the output, the Timestamp.date() function has returned a datetime object containing the same year, month and day as that of the given Timestamp object.

Example #2: Use Timestamp.date() function to return the date of the given Timestamp object as a datetime object.

import pandas as pd

ts = pd.Timestamp(year = 2009 , month = 5 , day = 31 ,

`` hour = 4 , second = 49 , tz = 'Europe/Berlin' )

print (ts)

Output :

Now we will use the Timestamp.date() function to return the date as a datetime object.

Output :

As we can see in the output, the Timestamp.date() function has returned a datetime object containing the same year, month and day as that of the given Timestamp object.