Python | Pandas Timestamp.is_leap_year

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.

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# 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)

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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.

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# check for leap year
ts.is_leap_year

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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.

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# 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)

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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.

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# check for leap year
ts.is_leap_year

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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.



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