Hopefully this isn't old news for you. Since the 0.98 release, the histogram plot doesn't work properly with 2D arrays: it is quite slow and the output is wrong. Passing a flattened array produces the quick, correct output that we are accustomed to. Here is the test code I ran, and the attached image shows the output compared with the previous version.
import numpy as n import matplotlib.pyplot as p a = n.random.normal(size=10000) a = a.reshape((100,100)) # make a 2D array of normally-distributed random numbers p.hist(a) Thanks for your work on matplotlib! Andrew Hawryluk Calgary, Canada <<hist-comparison.png>>
<<attachment: hist-comparison.png>>
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