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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.
See also
Creating Colormaps in Matplotlib for examples of how to make colormaps and
Choosing Colormaps in Matplotlib for a list of built-in colormaps.
Colormap Normalization for more details about data normalization
More colormaps are available at palettable.
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.
BoundaryNorm(boundaries, ncolors[, clip, extend]) |
Generate a colormap index based on discrete intervals. |
Colormap(name[, N]) |
Baseclass for all scalar to RGBA mappings. |
CenteredNorm([vcenter, halfrange, clip]) |
Normalize symmetrical data around a center (0 by default). |
LightSource([azdeg, altdeg, hsv_min_val, ...]) |
Create a light source coming from the specified azimuth and elevation. |
LinearSegmentedColormap(name, segmentdata[, ...]) |
Colormap objects based on lookup tables using linear segments. |
ListedColormap(colors[, name, N]) |
Colormap object generated from a list of colors. |
LogNorm([vmin, vmax, clip]) |
Normalize a given value to the 0-1 range on a log scale. |
NoNorm([vmin, vmax, clip]) |
Dummy replacement for Normalize, for the case where we want to use indices directly in a ScalarMappable. |
Normalize([vmin, vmax, clip]) |
A class which, when called, linearly normalizes data into the [0.0, 1.0] interval. |
PowerNorm(gamma[, vmin, vmax, clip]) |
Linearly map a given value to the 0-1 range and then apply a power-law normalization over that range. |
SymLogNorm(linthresh[, linscale, vmin, ...]) |
The symmetrical logarithmic scale is logarithmic in both the positive and negative directions from the origin. |
TwoSlopeNorm(vcenter[, vmin, vmax]) |
Normalize data with a set center. |
FuncNorm(functions[, vmin, vmax, clip]) |
Arbitrary normalization using functions for the forward and inverse. |
from_levels_and_colors(levels, colors[, extend]) |
A helper routine to generate a cmap and a norm instance which behave similar to contourf's levels and colors arguments. |
hsv_to_rgb(hsv) |
Convert hsv values to rgb. |
rgb_to_hsv(arr) |
Convert float rgb values (in the range [0, 1]), in a numpy array to hsv values. |
to_hex(c[, keep_alpha]) |
Convert c to a hex color. |
to_rgb(c) |
Convert c to an RGB color, silently dropping the alpha channel. |
to_rgba(c[, alpha]) |
Convert c to an RGBA color. |
to_rgba_array(c[, alpha]) |
Convert c to a (n, 4) array of RGBA colors. |
Return whether c can be interpreted as an RGB(A) color. |
|
same_color(c1, c2) |
Return whether the colors c1 and c2 are the same. |
Return the global mapping of names to named colors. |
|
make_norm_from_scale(scale_cls[, ...]) |
Decorator for building a Normalize subclass from a ScaleBase subclass. |
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