Index

_

__init__() (pyxpcm.models.pcm method) (pyxpcm.pcm method)

A

add() (pyxpcm.xarray.pyXpcmDataSetAccessor method)

B

bic() (pyxpcm.models.pcm method) (pyxpcm.pcm method) (pyxpcm.xarray.pyXpcmDataSetAccessor method)

C

cmap() (in module pyxpcm.plot)

colorbar() (in module pyxpcm.plot)

D

drop_all() (pyxpcm.xarray.pyXpcmDataSetAccessor method)

F

F (pyxpcm.models.pcm attribute) (pyxpcm.pcm attribute) feature_dict() (pyxpcm.xarray.pyXpcmDataSetAccessor method) features (pyxpcm.models.pcm attribute) (pyxpcm.pcm attribute)

fit() (pyxpcm.models.pcm method) (pyxpcm.pcm method) (pyxpcm.xarray.pyXpcmDataSetAccessor method) fit_predict() (pyxpcm.models.pcm method) (pyxpcm.pcm method) (pyxpcm.xarray.pyXpcmDataSetAccessor method)

K

K (pyxpcm.models.pcm attribute) (pyxpcm.pcm attribute)

L

latlongrid() (in module pyxpcm.plot)

load_netcdf() (in module pyxpcm)

M

mask() (pyxpcm.xarray.pyXpcmDataSetAccessor method)

O

open_dataset() (in module pyxpcm.tutorial)

P

pcm (class in pyxpcm) (class in pyxpcm.models) plot (pyxpcm.models.pcm attribute) (pyxpcm.pcm attribute) predict() (pyxpcm.models.pcm method) (pyxpcm.pcm method) (pyxpcm.xarray.pyXpcmDataSetAccessor method)

predict_proba() (pyxpcm.models.pcm method) (pyxpcm.pcm method) (pyxpcm.xarray.pyXpcmDataSetAccessor method) preprocessed() (in module pyxpcm.plot) pyxpcm.xarray (module) pyXpcmDataSetAccessor (class in pyxpcm.xarray)

Q

quantile() (in module pyxpcm.plot) (in module pyxpcm.stat) (pyxpcm.xarray.pyXpcmDataSetAccessor method)

R

ravel() (pyxpcm.models.pcm method) (pyxpcm.pcm method) reducer() (in module pyxpcm.plot)

robustness() (in module pyxpcm.stat) (pyxpcm.xarray.pyXpcmDataSetAccessor method) robustness_digit() (in module pyxpcm.stat) (pyxpcm.xarray.pyXpcmDataSetAccessor method)

S

sampling_dim() (pyxpcm.xarray.pyXpcmDataSetAccessor method) scaler() (in module pyxpcm.plot) score() (pyxpcm.models.pcm method) (pyxpcm.pcm method) (pyxpcm.xarray.pyXpcmDataSetAccessor method)

split() (pyxpcm.xarray.pyXpcmDataSetAccessor method) stat (pyxpcm.models.pcm attribute) (pyxpcm.pcm attribute) subplots() (in module pyxpcm.plot)

T

timeit (pyxpcm.models.pcm attribute) (pyxpcm.pcm attribute) timeit() (in module pyxpcm.plot)

to_netcdf() (in module pyxpcm.io) (pyxpcm.models.pcm method) (pyxpcm.pcm method)

U

unravel() (pyxpcm.models.pcm method) (pyxpcm.pcm method)