[Matplotlib-users] conflict between stacked and normed in hist?

[Wayne H. <Way...@df...>]

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

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

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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