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librosa.display.cmap
- librosa.display.cmap(data, *, robust=True, cmap_seq='magma', cmap_bool='gray_r', cmap_div='coolwarm')[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.
Otherwise, use a sequential colormap.
- Parameters:
- datanp.ndarray
Input data
- robustbool
If True, discard the top and bottom 2% of data when calculating range.
- cmap_seqstr
The sequential colormap name
- cmap_boolstr
The boolean colormap name
- cmap_divstr
The diverging colormap name
- Returns:
- cmapmatplotlib.colors.Colormap
The colormap to use for
data
See also