class matplotlib.colors.LinearSegmentedColormap(name, segmentdata, N=256, gamma=1.0)
[source]
Bases: matplotlib.colors.Colormap
Colormap objects based on lookup tables using linear segments.
The lookup table is generated using linear interpolation for each primary color, with the 01 domain divided into any number of segments.
Create color map 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
makeMappingArray
static from_list(name, colors, N=256, gamma=1.0)
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Make a linear segmented colormap with name from a sequence of colors which evenly transitions from colors[0] at val=0 to colors[1] at val=1. N is the number of rgb quantization levels. Alternatively, a list of (value, color) tuples can be given to divide the range unevenly.
reversed(self, name=None)
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Make a reversed instance of the Colormap.
Parameters: 


Returns: 

set_gamma(self, gamma)
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Set a new gamma value and regenerate color map.
matplotlib.colors.LinearSegmentedColormap
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Licensed under the Matplotlib License Agreement.
https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.colors.LinearSegmentedColormap.html