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?
from numpy.random import normal,seed
import matplotlib.pyplot as plt
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