matplotlib.colors.Colormap in Python

Matplotlib.colors.Colormap Class Syntax

Syntax: class matplotlib.colors.Colormap(name, N=256) Parameters: name: It accepts a string that represents the name of the color. N: It is an integer value that represents the number of rgb quantization levels Methods of Class: colorbar_extend = None : If the colormap exists on a scalar mappable and colorbar_extend is set to false, colorbar_extend is picked up by colorbar creation as the default value for the extend keyword in the constructor of matplotlib.colorbar.Colorbar. is_gray(self): Returns a boolean value to check if the plt is gray. reversed(self, name=None): It is used to make a reversed instance of Colormap. This function is not implemented for the base class. It has a single parameter ie, name that is optional and and accepts a string name for the reversed colormap. If set to None the becomes the name of the parent colormap + “r”. set_bad(self, color=’k’, alpha=None): It sets color that is to be used for masked values. set_over(self, color=’k’,, alpha=None): It is used to set color to be used for high out-of-range values. It requires norm.clip to be False. set_under(self, color=’k’,, alpha=None):It is used to set color to be used for low out-of-range values. It requires norm.clip to be False....

matplotlib.colors.Colormap in Python

The matplotlib.colors.Colormap class is a base class for all scalar to RGBA mappings. Generally colormap instance are used to transform data values (floats) from interval 0-1 to their respective RGBA color. Here the matplotlib.colors.Normalize class is used for scaling the data. The matplotlib.cm.ScalarMappable subclasses heavily use this for data->normalize->map-to-color processing chain....

Matplotlib Colormaps Examples

Below are some example by which we can create matplotlib colormaps in Python:...