MatPlotLib Perceptually Uniform Colormaps

versión 2.1.3 (776 KB) por Stephen23
MatPlotLib's default perceptually uniform colormap VIRIDIS and distinctive line ColorOrder TAB10

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Actualizada 5 Mar 2022

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From MatPlotLib 2 and 3:
  • the default sequential colormap VIRIDIS (as well as INFERNO, MAGMA, and PLASMA).
  • the default line colororder TAB10 (as well as TAB20, TAB20B, and TAB20C).
  • the perceptually uniform cyclic colormaps TWILIGHT and TWILIGHT_SHIFTED
  • the colorblind-friendly sequential colormap CIVIDIS.
For MatPlotLib 2.0 new perceptually uniform colormaps were generated in the CAM02-UCS colorspace. The process is described here:
The default MatPlotLib colormap was changed to the newly created VIRIDIS, replacing the awful JET/RAINBOW, and the default line colororder changed to VEGA10 (note that the VEGA# colormaps were renamed TAB# in MatPlotLib 3).
The colormap data is available here https://bids.github.io/colormap/ and the line colororder data here https://github.com/vega/vega/wiki/Scales#scale-range-literals.
COLORMAP Examples
%% Plot the scheme's RGB values:
rgbplot(viridis(256))
%% New colors for the COLORMAP example:
load spine
image(X)
colormap(viridis)
%% New colors for the SURF example:
[X,Y,Z] = peaks(30);
surfc(X,Y,Z)
colormap(viridis)
axis([-3,3,-3,3,-10,5])
Axes ColorOrder Examples
%% PLOT using matrices:
N = 10;
axes('ColorOrder',tab10(N),'NextPlot','replacechildren')
X = linspace(0,pi*3,1000);
Y = bsxfun(@(x,n)n*sin(x+2*n*pi/N), X(:), 1:N);
plot(X,Y, 'linewidth',4)
%% PLOT in a loop:
N = 10;
set(0,'DefaultAxesColorOrder',tab10(N))
X = linspace(0,pi*3,1000);
Y = bsxfun(@(x,n)n*sin(x+2*n*pi/N), X(:), 1:N);
for n = 1:N
ssplot(X(:),Y(:,n), 'linewidth',4);
hold all
end
%% LINE using matrices:
N = 10;
set(0,'DefaultAxesColorOrder',tab10(N))
X = linspace(0,pi*3,1000);
Y = bsxfun(@(x,n)n*cos(x+2*n*pi/N), X(:), 1:N);
line(X(:),Y)

Citar como

Stephen23 (2022). MatPlotLib Perceptually Uniform Colormaps (https://www.mathworks.com/matlabcentral/fileexchange/62729-matplotlib-perceptually-uniform-colormaps), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2010b
Compatible con la versión R2009b y siguientes
Compatibilidad con las plataformas
Windows macOS Linux

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