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’.- nint
Number of samples to use in scatter plots
- Returns:
- g
seaborn.axisgrid.PairGrid
Seaborn Pairgrid instance
- __author__: gmaze@ifremer.fr
- g