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# pandas.DatetimeIndex.is_leap_year

property DatetimeIndex.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:
    Series or ndarray

      Booleans indicating if dates belong to a leap year.

  See also

  `DatetimeIndex.is_year_end`

    Indicate whether the date is the last day of the year.

  `DatetimeIndex.is_year_start`

    Indicate whether the date is the first day of a year.

  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="YE")
      >>> idx
      DatetimeIndex(['2012-12-31', '2013-12-31', '2014-12-31'],
                    dtype='datetime64[us]', freq='YE-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[us]
      >>> dates_series.dt.is_leap_year
      0     True
      1    False
      2    False
      dtype: bool