alternative to block_size about pyextremes

[georgebv]

I may be late, but, if you have a custom way you extract extreme values from your data, you can use the EVA.set_extremes method:

pyextremes/src/pyextremes/eva.py

Lines 497 to 546 in 8ec142b

	def set_extremes(self, extremes: pd.Series, **kwargs) -> None:
	"""
	Set extreme values.
	This method is used to set extreme values onto the model instead
	of deriving them from data directly using the 'get_extremes' method.
	This way user can set extremes calculated using a custom methodology.
	Parameters
	----------
	extremes : pd.Series
	Time series of extreme values to be set onto the model.
	Must be numeric, have date-time index, and have the same name
	as self.data.
	kwargs:
	method : str, optional
	Extreme value extraction method.
	Supported values:
	BM (default) - Block Maxima
	POT - Peaks Over Threshold
	extremes_type : str, optional
	high (default) - extreme high values
	low - extreme low values
	if method is BM:
	block_size : str or pandas.Timedelta, optional
	Block size.
	If None (default), then is calculated as median distance
	between extreme events.
	errors : str, optional
	raise - raise an exception
	when encountering a block with no data
	ignore (default) - ignore blocks with no data
	coerce - get extreme values for blocks with no data
	as mean of all other extreme events in the series
	with index being the middle point of corresponding interval
	min_last_block : float, optional
	Minimum data availability ratio (0 to 1) in the last block
	for it to be used to extract extreme value from.
	This is used to discard last block when it is too short.
	If None (default), last block is always used.
	if method is POT:
	threshold : float, optional
	Threshold used to find exceedances.
	By default is taken as smallest value.
	r : pandas.Timedelta or value convertible to timedelta, optional
	Duration of window used to decluster the exceedances.
	By default r='24H' (24 hours).
	See pandas.to_timedelta for more information.
	"""

This way you can extract extreme values yourself and then use them with pyextremes.

[yngwaz]

Many thanks for that hint!
Yes, that would work perfectly fine for me. Sorry, I didn't see this option!