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hist_colormapped.py

import numpy as n
from pylab import figure, show
import matplotlib.cm as cm
import matplotlib.colors as colors

fig = figure()
ax = fig.add_subplot(111)
Ntotal = 1000
N, bins, patches = ax.hist(n.random.rand(Ntotal), 20)

#I'll color code by height, but you could use any scalar


# we need to normalize the data to 0..1 for the full
# range of the colormap
fracs = N.astype(float)/N.max()
norm = colors.normalize(fracs.min(), fracs.max())

for thisfrac, thispatch in zip(fracs, patches):
    color = cm.jet(norm(thisfrac))
    thispatch.set_facecolor(color)


show()

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