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:	data : np.ndarray Input data robust : bool If True, discard the top and bottom 2% of data when calculating range. cmap_seq : str The sequential colormap name cmap_bool : str The boolean colormap name cmap_div : str The diverging colormap name
Returns:	cmap : matplotlib.colors.Colormap The colormap to use for data