I am trying to use stacked and normed at the same time. I have thought

about it - and I think it does make sense for what I want to do.

Below is some code and a figure that demonstrate the problem. There are two

histograms. Both use teh same data. Both are stacked. The top histogram

uses normed=False. The bottom uses normed =True. Ideally, the histograms

would be identical except for scaling on the y-axis.

The histogram with normed=False looks OK.

The left-half of the normed=True histogram looks OK. About half-way through

the second distribution moves from the top of the bars to the bottom. At

least that's the way it looks from eyeballing.

Does anybody have a suggestion about how to get around this problem? Should

I be reporting a bug somewhere?

Thanks,

Wayne Hajas

## ยทยทยท

==================

from numpy.random import normal,seed

import matplotlib.pyplot as plt

seed(100)

x=normal(loc=0,scale=1,size=1000)

y=normal(loc=1,scale=1,size=1000)

bins=map(lambda i:-2.+5.*float(i)/float(50),range(51))

plt.close()

plt.subplot(211)

plt.hist([x,y],bins=bins,alpha=0.5, stacked=True,normed=False)

plt.subplot(212)

plt.hist([x,y],bins=bins,alpha=0.5, stacked=True,normed=True)

plt.show()

<http://matplotlib.1069221.n5.nabble.com/file/n40552/StackedProblem.png>

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