Attaching benchmark.
from numpy.random import rand
import matplotlib
from matplotlib.pyplot import pcolor, savefig, show, ion, axis, draw, axes
import time
ion()
t = time.clock()
pcolor(rand(1000,100))
print "init: ", time.clock() - t
frames = 25.0
t = time.clock()
for i in xrange(int(frames)):
part = (1.0 - (i / frames) / 2.0)
axes().set_ylim((0.0, 1000.0 * part))
draw()
print "fps:", frames / (time.clock() - t)
# show()
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