matplotlib.colors.LinearSegmentedColormap#

class matplotlib.colors.LinearSegmentedColormap(name, segmentdata, N=256, gamma=1.0)[source]#

Bases: Colormap

Colormap objects based on lookup tables using linear segments.

The lookup table is generated using linear interpolation for each primary color, with the 0-1 domain divided into any number of segments.

Create colormap from linear mapping segments

segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional.

Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use:

cdict = {'red':   [(0.0,  0.0, 0.0),
                   (0.5,  1.0, 1.0),
                   (1.0,  1.0, 1.0)],

         'green': [(0.0,  0.0, 0.0),
                   (0.25, 0.0, 0.0),
                   (0.75, 1.0, 1.0),
                   (1.0,  1.0, 1.0)],

         'blue':  [(0.0,  0.0, 0.0),
                   (0.5,  0.0, 0.0),
                   (1.0,  1.0, 1.0)]}

Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]:

row i:   x  y0  y1
               /
              /
row i+1: x  y0  y1

Hence y0 in the first row and y1 in the last row are never used.

See also

LinearSegmentedColormap.from_list

Static method; factory function for generating a smoothly-varying LinearSegmentedColormap.

static from_list(name, colors, N=256, gamma=1.0)[source]#

Create a LinearSegmentedColormap from a list of colors.

Parameters:
namestr

The name of the colormap.

colorsarray-like of colors or array-like of (value, color)

If only colors are given, they are equidistantly mapped from the range \([0, 1]\); i.e. 0 maps to colors[0] and 1 maps to colors[-1]. If (value, color) pairs are given, the mapping is from value to color. This can be used to divide the range unevenly.

Nint

The number of RGB quantization levels.

gammafloat
resampled(lutsize)[source]#

Return a new colormap with lutsize entries.

reversed(name=None)[source]#

Return a reversed instance of the Colormap.

Parameters:
namestr, optional

The name for the reversed colormap. If None, the name is set to self.name + "_r".

Returns:
LinearSegmentedColormap

The reversed colormap.

set_gamma(gamma)[source]#

Set a new gamma value and regenerate colormap.

Examples using matplotlib.colors.LinearSegmentedColormap#

Bar chart with gradients

Bar chart with gradients

Bar chart with gradients
Scatter plots with a legend

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Contour Demo

Contour Demo

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Contour Image

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Contourf demo

Contourf demo

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Contourf and log color scale

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Image demo

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Image Masked

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Image Masked
Image nonuniform

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Image nonuniform
Layer Images

Layer Images

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pcolormesh

pcolormesh

pcolormesh
Shading example

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Shading example
Axes box aspect

Axes box aspect

Axes box aspect
Composing Custom Legends

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Using a text as a Path

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Creating a colormap from a list of colors

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Reference for Matplotlib artists

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Dolphins

Dolphins

Dolphins
Demo CurveLinear Grid2

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Shaded & power normalized rendering

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Manual Contour

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AGG filter

AGG filter

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Matplotlib logo

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Table Demo

Table Demo

Table Demo
Plot contour (level) curves in 3D

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Plot contour (level) curves in 3D using the extend3d option

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Filled contours

Filled contours

Filled contours
Custom hillshading in a 3D surface plot

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3D plots as subplots

3D plots as subplots

3D plots as subplots
3D surface (colormap)

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3D surface (colormap)
3D surface with polar coordinates

3D surface with polar coordinates

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Triangular 3D contour plot

Triangular 3D contour plot

Triangular 3D contour plot
Triangular 3D filled contour plot

Triangular 3D filled contour plot

Triangular 3D filled contour plot
More triangular 3D surfaces

More triangular 3D surfaces

More triangular 3D surfaces
Hillshading

Hillshading

Hillshading
Left ventricle bullseye

Left ventricle bullseye

Left ventricle bullseye
MRI with EEG

MRI with EEG

MRI with EEG
Topographic hillshading

Topographic hillshading

Topographic hillshading
Dropped spines

Dropped spines

Dropped spines
Colorbar Tick Labelling

Colorbar Tick Labelling

Colorbar Tick Labelling
Customized Colorbars Tutorial

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Customized Colorbars Tutorial
Creating Colormaps in Matplotlib

Creating Colormaps in Matplotlib

Creating Colormaps in Matplotlib
Colormap Normalization

Colormap Normalization

Colormap Normalization
3D surface

3D surface

3D surface
Triangular 3D surfaces

Triangular 3D surfaces

Triangular 3D surfaces