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matplotlib.colors — Matplotlib 3.10.3 documentation

matplotlib.colors#

Note

The Color tutorials and examples demonstrate how to set colors and colormaps. You may want to read those instead.

A module for converting numbers or color arguments to RGB or RGBA.

RGB and RGBA are sequences of, respectively, 3 or 4 floats in the range 0-1.

This module includes functions and classes for color specification conversions, and for mapping numbers to colors in a 1-D array of colors called a colormap.

Mapping data onto colors using a colormap typically involves two steps: a data array is first mapped onto the range 0-1 using a subclass of Normalize, then this number is mapped to a color using a subclass of Colormap. Two subclasses of Colormap provided here: LinearSegmentedColormap, which uses piecewise-linear interpolation to define colormaps, and ListedColormap, which makes a colormap from a list of colors.

The module also provides functions for checking whether an object can be interpreted as a color (is_color_like), for converting such an object to an RGBA tuple (to_rgba) or to an HTML-like hex string in the "#rrggbb" format (to_hex), and a sequence of colors to an (n, 4) RGBA array (to_rgba_array). Caching is used for efficiency.

Colors that Matplotlib recognizes are listed at Specifying colors.

Color norms# Univariate Colormaps# Multivariate Colormaps# Other classes# Functions# Exported colors#

The data used to populate the List of named colors are exposed as dictionaries that map color names to hex strings.

matplotlib.colors.BASE_COLORS#
matplotlib.colors.TABLEAU_COLORS#
matplotlib.colors.CSS4_COLORS#
matplotlib.colors.XKCD_COLORS#

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