Learn what to expect in the new updates
(Source code, png, hires.png, pdf)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.colors as colors
fig, ax = plt.subplots()
Ntotal = 1000
N, bins, patches = ax.hist(np.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)
plt.show()
Keywords: python, matplotlib, pylab, example, codex (see Search examples)