This function requires the rgb function found here: http://www.mathworks.com/matlabcentral/fileexchange/46872
The rgb function uses a database which was created by showing hundreds of thousands of viewers more than 900 of the most commonly-used colors on the internet, and getting users to use their own words to describe that color. The result is a database of the most commonly-used names for colors, the way they are perceived on computer monitors.
The rgbmap function presented here creates color maps using any number of these strings as inputs.
cmap = rgbmap('first color name','second color name')
cmap = rgbmap('first color name','second color name',...,'nth color name')
cmap = rgbmap(...,levels)
cmap = rgbmap('first color name','second color name') creates an RGB color map cmap from some first color to a second color.
cmap = rgbmap('first color name','second color name',...,'nth color name') creates a color map linearly scaled between any number of colors.
cmap = rgbmap(...,M) specifies the approximate number of levels |M| of the M x 3 output colormap.
rgbmap(...) sets the color map without creating an array in the workspace.
The example image shown above was created like this:
rgbmap('pinkish purple','dark taupe','tiffany blue','azure','army green')
I'd like to stress that this function requires the rgb function described here: http://www.mathworks.com/matlabcentral/fileexchange/46872-rgb-color-values-from-xkcd/content/demo/html/rgb_demo.html
Fix to ensure correct number of output levels.
included link to rgb function.
Inspired by: freezeColors / unfreezeColors, COLORMAP and COLORBAR utilities (Jul 2014), RGB triple of color name, version 2, Red Blue Colormap, Generate maximally perceptually-distinct colors, cbrewer : colorbrewer schemes for Matlab, XKCDIFY, Build custom colormaps, AdvancedColormap, rgb2hex and hex2rgb, Intuitive RGB color values from XKCD
Inspired: paruly, Cyclic color map, Convert between RGB and Color Names, CubeHelix Colormap Generator: Beautiful and Versatile!, ColorBrewer: Attractive and Distinctive Colormaps, How to map sea level rise, MatPlotLib 2.0 Colormaps: Perceptually Uniform and Beautiful