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Tunable Gaussian HSV Colormap
import numpy as np
import matplotlib
def make_cmap_guassianHSV( num_segs = 100, #number of segments
bandwidth = 0.25,
red_center = 1.00,
green_center = 0.75,
blue_center = 0.50,
name = "gaussianHSV"
):
#this is the color index
X = np.linspace(0.0,1.0,num_segs)
Y_R = np.exp(-(X - red_center )**2/bandwidth**2)
Y_G = np.exp(-(X - green_center)**2/bandwidth**2)
Y_B = np.exp(-(X - blue_center )**2/bandwidth**2)
segs_R = np.vstack((X,Y_R,Y_R)).transpose()
segs_G = np.vstack((X,Y_G,Y_G)).transpose()
segs_B = np.vstack((X,Y_B,Y_B)).transpose()
##make colormap
cdict = {
'red' : segs_R,
'green': segs_G,
'blue' : segs_B,
}
cmap = matplotlib.colors.LinearSegmentedColormap(name,cdict,num_segs)
return cmap
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