matplotlibColormap
Below is a demonstration of the features of the matplotlibColormap function
Contents
clear; close all; clc;
Syntax
[cMap]=matplotlibColormap(c,n);
Description
This function is a MATLAB implementation of the matplotlib colormaps by Nathaniel J. Smith, Stefan van der Walt, and (in the case of viridis) Eric Firing.
The input c controls the type of colormap: 'magma' (or 1), 'inferno' (or 2), 'plasma' (or 3), 'viridis' (or 4), and 'turbo (or 5). The input n controls the number of color levels used.
Examples
%Plot settings
fontSize=15;
Create example data for visualizations
n=250; s=1; [X,Y]=ndgrid(linspace(-3*s,3*s,n)); Z=exp( -0.5.*((X./s).^2+(Y./s).^2)); Z=Z./max(Z(:)); Z(X<0)=-Z(X<0); colorLim=[-1 1];
n = 100; nameSet = {'magma','inferno','plasma','viridis','turbo'}; cFigure; for q=1:1:5 cMap = matplotlibColormap(nameSet{q},n); hs=subplot(2,3,q); hold on; title([nameSet{q},' colormap'],'FontSize',fontSize); imagesc(Z); colormap(hs,cMap); colorbar; axis tight; axis equal; axis xy; box on; axis off; set(gca,'FontSize',fontSize); clim(colorLim); end drawnow;
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Kevin Mattheus Moerman, [email protected]
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GIBBON: The Geometry and Image-based Bioengineering add-On. A toolbox for image segmentation, image-based modeling, meshing, and finite element analysis.
Copyright (C) 2006-2023 Kevin Mattheus Moerman and the GIBBON contributors
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