Skip to content
Related Articles

Related Articles

Python | Pandas Timestamp.is_leap_year
  • Last Updated : 08 Jan, 2019
GeeksforGeeks - Summer Carnival Banner

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.is_leap_year attribute return a boolean value. It return True if the date in the given Timestamp object is a leap year else it return False.

Syntax : Timestamp.is_leap_year

Parameters : None

Return : boolean



Example #1: Use Timestamp.is_leap_year attribute to check if the date in the given Timestamp object is a leap year or not.




# importing pandas as pd
import pandas as pd
  
# Create the Timestamp object
ts = pd.Timestamp(2016, 2, 15, 12)
  
# Print the Timestamp object
print(ts)

Output :

Now we will use the Timestamp.is_leap_year attribute to find out if the date in the ts object is a leap year or not.




# check for leap year
ts.is_leap_year

Output :

As we can see in the output, the Timestamp.is_leap_year attribute has returned True indicating the date in the given Timestamp object is a leap year.
 
Example #2: Use Timestamp.is_leap_year attribute to check if the date in the given Timestamp object is a leap year or not.




# importing pandas as pd
import pandas as pd
  
# Create the Timestamp object
ts = pd.Timestamp(year = 2009, month = 10, day = 21,
                     hour = 4, tz = 'Europe/Berlin')
  
# Print the Timestamp object
print(ts)

Output :



Now we will use the Timestamp.is_leap_year attribute to find out if the date in the ts object is a leap year or not.




# check for leap year
ts.is_leap_year

Output :

As we can see in the output, the Timestamp.is_leap_year attribute has returned False indicating the date in the given Timestamp object is not a leap year.

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.

My Personal Notes arrow_drop_up
Recommended Articles
Page :