xarray.groupers.SeasonResampler#

class xarray.groupers.SeasonResampler(seasons, *, drop_incomplete=True)[source]#

Allows grouping using a custom definition of seasons.

Parameters:

seasons (Sequence[str]) – An ordered list of seasons.
drop_incomplete (bool) – Whether to drop seasons that are not completely included in the data. For example, if a time series starts in Jan-2001, and seasons includes “DJF” then observations from Jan-2001, and Feb-2001 are ignored in the grouping since Dec-2000 isn’t present.

Examples

>>> SeasonResampler(["JF", "MAM", "JJAS", "OND"])
SeasonResampler(seasons=['JF', 'MAM', 'JJAS', 'OND'], drop_incomplete=True)

>>> SeasonResampler(["DJFM", "AM", "JJA", "SON"])
SeasonResampler(seasons=['DJFM', 'AM', 'JJA', 'SON'], drop_incomplete=True)

Methods

`__init__`(seasons, *[, drop_incomplete])
`compute_chunks`(variable, *, dim)	Compute chunk sizes for this season resampler.
`factorize`(group)	Creates intermediates necessary for GroupBy.
`reset`()	Creates a new version of this Grouper clearing any caches.

Attributes