matplotlib.colors.Colormap

class matplotlib.colors.Colormap(name, N=256) [source]

Bases: object

Baseclass for all scalar to RGBA mappings.

Typically Colormap instances are used to convert data values (floats) from the interval [0, 1] to the RGBA color that the respective Colormap represents. For scaling of data into the [0, 1] interval see matplotlib.colors.Normalize. It is worth noting that matplotlib.cm.ScalarMappable subclasses make heavy use of this data->normalize->map-to-color processing chain.

Parameters:	namestr The name of the colormap. Nint The number of rgb quantization levels.

colorbar_extend

When this colormap exists on a scalar mappable and colorbar_extend is not False, colorbar creation will pick up colorbar_extend as the default value for the extend keyword in the matplotlib.colorbar.Colorbar constructor.

is_gray(self) [source]

reversed(self, name=None) [source]

Make a reversed instance of the Colormap.

Note

Function not implemented for base class.

Parameters:	namestr, optional The name for the reversed colormap. If it's None the name will be the name of the parent colormap + "_r".

See also

LinearSegmentedColormap.reversed

ListedColormap.reversed

set_bad(self, color='k', alpha=None) [source]

Set color to be used for masked values.

set_over(self, color='k', alpha=None) [source]

Set the color for high out-of-range values when norm.clip = False.

set_under(self, color='k', alpha=None) [source]

Set the color for low out-of-range values when norm.clip = False.

Examples using matplotlib.colors.Colormap