Python | Pandas Period.is_leap_year

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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 Period.is_leap_year attribute checks for the given Period object, if the year in the object is a leap year or not. It return True if the following year is a leap year else it return False

Syntax : Period.is_leap_year

Parameters : None

Return : boolean

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

# importing pandas as pd 
import pandas as pd 
  
# Create the Period object 
prd = pd.Period(freq ='H', year = 2000, month = 2, day = 21, hour = 8) 
  
# Print the Period object 
print(prd) 

Output :

Now we will use the Period.is_leap_year attribute to check if the date present in the prd object is a leap year or not.

# check for leap year 
prd.is_leap_year 

Output :

As we can see in the output, the Period.is_leap_year attribute has returned True indicating that the following year in the prd object is a leap year.

Example #2: Use Period.is_leap_year attribute to check if the date present in the given Period object is a leap year or not.

# importing pandas as pd 
import pandas as pd 
  
# Create the Period object 
prd = pd.Period(freq ='T', year = 2006, month = 10, hour = 15, minute = 49) 
  
# Print the Period object 
print(prd) 

Output :

Now we will use the Period.is_leap_year attribute to check if the date present in the prd object is a leap year or not.

# check for leap year 
prd.is_leap_year 

Output :

As we can see in the output, the Period.is_leap_year attribute has returned False indicating that the following year in the prd object is not a leap year.