xorbits.pandas.Series.dt.is_leap_year#

Series.dt.is_leap_year#

Boolean indicator if the date belongs to a leap year.

A leap year is a year, which has 366 days (instead of 365) including 29th of February as an intercalary day. Leap years are years which are multiples of four with the exception of years divisible by 100 but not by 400.

Returns: Booleans indicating if dates belong to a leap year.
Return type: Series or ndarray

Examples

This method is available on Series with datetime values under the .dt accessor, and directly on DatetimeIndex.

>>> idx = pd.date_range("2012-01-01", "2015-01-01", freq="Y")  
>>> idx  
DatetimeIndex(['2012-12-31', '2013-12-31', '2014-12-31'],
              dtype='datetime64[ns]', freq='A-DEC')
>>> idx.is_leap_year  
array([ True, False, False])

>>> dates_series = pd.Series(idx)  
>>> dates_series  
0   2012-12-31
1   2013-12-31
2   2014-12-31
dtype: datetime64[ns]
>>> dates_series.dt.is_leap_year  
0     True
1    False
2    False
dtype: bool

This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.