pyxpcm.plot.preprocessed¶

pyxpcm.plot.preprocessed(m, ds, features=None, dim=None, n=1000, kde=False, style='darkgrid', **kargs)[source]¶

Plot preprocessed features as pairwise scatter plots

Require seaborn

Parameters:	:class:`pyxpcm.pcm` instance ds: :class:`xarray.Dataset` The dataset to work with features: dict() Definitions of PCM features in the input `xarray.Dataset`. If not specified or set to None, features are identified using `xarray.DataArray` attributes ‘feature_name’. n : int Number of samples to use in scatter plots
Returns:	g : `seaborn.axisgrid.PairGrid` Seaborn Pairgrid instance __author__: gmaze@ifremer.fr