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 usingxarray.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