Python | Pandas PeriodIndex.is_leap_year
Last Updated :
06 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 PeriodIndex.is_leap_year
attribute return an array of boolean values corresponding to each element in the PeriodIndex object. It return True
if the given year is a leap year else it return False
if it is not a leap year.
Syntax : PeriodIndex.is_leap_year
Parameters : None
Return : array of boolean values
Example #1: Use PeriodIndex.is_leap_year
attribute to check for each element in the given PeriodIndex object, whether it is a leap year or not.
import pandas as pd
pidx = pd.PeriodIndex(start = '2003-12-21 08:45 ' ,
end = '2009-12-21 11:55' , freq = 'Y' )
print (pidx)
|
Output :
Now we will use the PeriodIndex.is_leap_year
attribute to check if the given year is a leap year or not.
Output :
As we can see in the output, the PeriodIndex.is_leap_year
attribute has returned an array containing boolean values. True
indicates the given year was a leap year and False
indicates the given year was not a leap year.
Example #2: Use PeriodIndex.is_leap_year
attribute to check for each element in the given PeriodIndex object, whether it is a leap year or not.
import pandas as pd
pidx = pd.PeriodIndex(start = '2016-02-1' ,
end = '2016-02-06' , freq = 'D' )
print (pidx)
|
Output :
Now we will use the PeriodIndex.is_leap_year
attribute to check if the given year is a leap year or not.
Output :
As we can see in the output, the PeriodIndex.is_leap_year
attribute has returned an array containing boolean values. True
indicates the given year was a leap year and False
indicates the given year was not a leap year.
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