What is the Period.is_leap_year attribute in pandas?

Overview

The is_leap_year attribute of a Period object in Pandas checks whether the date of the Period is a leap year.

Syntax

The is_leap_year attribute takes the syntax below:

Period.is_leap_year
Syntax for the is_leap_year attribute

Parameter value

The is_leap_year attribute takes no parameter value.

Return value

The is_leap_year attribute returns a boolean value: True if the year specified in the Period object is a leap year, and False otherwise.

Example

# A code to illustrate the is_leap_year attribute

# Importing the Pandas library

import pandas as pd



# Creating a period object

a = pd.Period('2022-5-2')

b = pd.Period('2020-5-2')



# Checking if the period's year is a leap year or not

print(a.is_leap_year)

print(b.is_leap_year)

Explanation

  • Line 3: We import the pandas library.
  • Lines 6–7: We create Period objects a and b with different year component values.
  • Lines 10–11: We check to see if a or b have values of leap years.

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