Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.is_leap_year attribute return a boolean indicator if the date belongs to a leap year.
Syntax: Series.dt.is_leap_year
Parameter : None
Returns : numpy array
Example #1: Use Series.dt.is_leap_year attribute to check if the dates in the underlying data of the given series object belongs to a leap year.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series(['2012-12-31', '2019-1-1 12:30', '2008-02-2 10:30',                '2010-1-1 09:25', '2019-12-31 00:00'])   # Creating the index idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']   # set the index sr.index = idx   # Convert the underlying data to datetime sr = pd.to_datetime(sr)   # Print the series print(sr) |
Output :
Now we will use Series.dt.is_leap_year attribute to check if the dates in the given series object belongs to a leap year.
# check if dates given # belongs to a leap year. result = sr.dt.is_leap_year   # print the result print(result) |
Output :
As we can see in the output, the Series.dt.is_leap_year attribute has successfully accessed and returned boolean values indicating whether the dates in the given series object belongs to a leap year.
Example #2 : Use Series.dt.is_leap_year attribute to check if the dates in the underlying data of the given series object belongs to a leap year.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series(pd.date_range('2012-12-31 00:00', periods = 5, freq = 'D'))   # Creating the index idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']   # set the index sr.index = idx   # Print the series print(sr) |
Output :
Now we will use Series.dt.is_leap_year attribute to check if the dates in the given series object belongs to a leap year.
# check if dates given # belongs to a leap year. result = sr.dt.is_leap_year   # print the result print(result) |
Output :
As we can see in the output, the Series.dt.is_leap_year attribute has successfully accessed and returned boolean values indicating whether the dates in the given series object belongs to a leap year.
