pandas.tseries.offsets.Easter#
- class pandas.tseries.offsets.Easter#
DateOffset for the Easter holiday using logic defined in dateutil.
Right now uses the revised method which is valid in years 1583-4099.
Attributes
n
(int, default 1) The number of years represented.
normalize
(bool, default False) Normalize start/end dates to midnight before generating date range.
method
(int, default 3) The method used to calculate the date of Easter. Valid options are: - 1 (EASTER_JULIAN): Original calculation in Julian calendar - 2 (EASTER_ORTHODOX): Original method, date converted to Gregorian calendar - 3 (EASTER_WESTERN): Revised method, in Gregorian calendar These constants are defined in the dateutil.easter module.
See also
DateOffsetStandard kind of date increment.
Examples
>>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.Easter() Timestamp('2022-04-17 00:00:00')
Attributes
EASTER_WESTERNbaseReturns a copy of the calling offset object with n=1 and all other attributes equal.
Return a string representing the frequency.
Return a dict of extra parameters for the offset.
methodReturn a string representing the base frequency.
Returns a integer of the total number of nanoseconds for fixed frequencies.
Return a string representing the base frequency.
Methods
copy()Return a copy of the frequency.
is_month_end(ts)Return boolean whether a timestamp occurs on the month end.
is_month_start(ts)Return boolean whether a timestamp occurs on the month start.
is_on_offset(dt)Return boolean whether a timestamp intersects with this frequency.
is_quarter_end(ts)Return boolean whether a timestamp occurs on the quarter end.
is_quarter_start(ts)Return boolean whether a timestamp occurs on the quarter start.
is_year_end(ts)Return boolean whether a timestamp occurs on the year end.
is_year_start(ts)Return boolean whether a timestamp occurs on the year start.
rollback(dt)Roll provided date backward to next offset only if not on offset.
rollforward(dt)Roll provided date forward to next offset only if not on offset.