climpred.classes.PredictionEnsemble¶
- class climpred.classes.PredictionEnsemble(initialized: Union[xarray.DataArray, xarray.Dataset])[source]¶
The main object
PredictionEnsemble.This is the super of both
PerfectModelEnsembleandHindcastEnsemble. This cannot be called directly by a user, but should house functions that both ensemble types can use.Associated
xarray.Datasetare stored in:PredictionEnsemble._datasets["initialized"]PredictionEnsemble._datasets["uninitialized"]PredictionEnsemble._datasets["control"]inPerfectModelEnsemblePredictionEnsemble._datasets[observations"]inHindcastEnsemble
- __init__(initialized: Union[xarray.DataArray, xarray.Dataset])[source]¶
Create a
PredictionEnsembleobject.
Methods
__init__(initialized)Create a
PredictionEnsembleobject.equals(other)Check if
PredictionEnsembleis equal to other.get_initialized()Return the
xarray.Datasetfor the initialized ensemble.get_uninitialized()Return the
xarray.Datasetfor the uninitialized ensemble.identical(other)Check if
PredictionEnsembleis identical to other.plot([variable, ax, show_members, cmap, x])Plot datasets from
PredictionEnsemble.remove_seasonality([seasonality])Remove seasonal cycle from
PredictionEnsemble.smooth([smooth_kws, how])Smooth in space and/or aggregate in time in
PredictionEnsemble.Attributes
Return chunks of
PredictionEnsemble.Return chunksizes of
PredictionEnsemble.Return coordinates of
PredictionEnsemble.Return data variables of
PredictionEnsemble.Return dimension of
PredictionEnsemble.mathTypealias of
Union[int,float,numpy.ndarray,xarray.DataArray,xarray.Dataset]Bytes sizes of all PredictionEnsemble._datasets.
Return sizes of
PredictionEnsemble.