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.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2011 , month = 11 , day = 21 , hour = 10 , second = 49 , tz = 'US/Central' ) # Print the Timestamp object print (ts) |
Output :
Now we will use the Timestamp.date()
function to return the date as a datetime object.
# return as a datetime object ts.date() |
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.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2009 , month = 5 , day = 31 , hour = 4 , second = 49 , tz = 'Europe/Berlin' ) # Print the Timestamp object print (ts) |
Output :
Now we will use the Timestamp.date()
function to return the date as a datetime object.
# return as a datetime object ts.date() |
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.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.