python - combine colormaps matplotlib -
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- combining 2 matplotlib colormaps 1 answer
i use matplotlib plot temperature data combustion simulations, temperature in flame ranging 3200k - 5500k , temperature outside of flame ranging 300k 1000k. want generate projection plots using 2 different colormaps, 1 within flame , 1 outside of it, show slight variations in both regions. don't see temperatures in intermediate region of 1000k - 3200k, waste resolution in colormap using 1 map entire 300k - 5500k range. tried using of diverging maps, still miss small variations @ high , low ends.
does have suggestions how combine 2 colormaps one, using 1 of colormaps each temperature range?
edit
to make question more specific: want use matlplotlib's 'hot' colormap data points in 3200 - 5500 range , 'cool' data points in 300 - 1000 range.
is there way source code these 2 colormaps, normalize them respective start , end points, , combine both 1 cmap?
here's great write on creating custom color maps: http://cresspahl.blogspot.com/2012/03/expanded-control-of-octaves-colormap.html
you can modify color changes around data set , leave portion that's not represented unchanged.
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