librosa.display.cmap¶
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librosa.display.
cmap
(data, use_sns=True, robust=True)[source]¶ Get a default colormap from the given data.
If the data is boolean, use a black and white colormap.
If the data has both positive and negative values, use a diverging colormap (‘coolwarm’).
Otherwise, use a sequential map: either cubehelix or ‘OrRd’.
Parameters: data : np.ndarray
Input data
use_sns : bool
If True, and
seaborn
is installed, use cubehelix maps for sequential datarobust : bool
If True, discard the top and bottom 2% of data when calculating range.
Returns: cmap : matplotlib.colors.Colormap
See also
matplotlib.pyplot.colormaps
,seaborn.cubehelix_palette