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1. dmcdougall commented on Sep 23, 2012

   

   dmcdougall

   on Sep 23, 2012

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   Here's a script plotting steps and bars:

   In [1]: import matplotlib
   
   In [2]: matplotlib.use('agg')
   
   In [3]: import matplotlib.pyplot as plt
   
   In [4]: fig = plt.figure()
   
   In [5]: ax = fig.add_subplot(2, 1, 1)
   
   In [6]: import numpy as np
   
   In [7]: ax.hist(np.random.rand(100), histtype='step', log=1)
   Out[7]: 
   (array([10, 12,  2,  8, 11,  7, 12, 15, 11, 12]),
    array([ 0.00352264,  0.10181859,  0.20011454,  0.2984105 ,  0.39670645,
           0.4950024 ,  0.59329835,  0.6915943 ,  0.78989025,  0.8881862 ,
           0.98648216]),
    <a list of 1 Patch objects>)
   
   In [8]: ax2 = fig.add_subplot(2, 1, 2)
   
   In [9]: ax2.hist(np.random.rand(100), log=1)
   Out[9]: 
   (array([11,  8, 13,  6,  9,  6, 16, 10, 12,  9]),
    array([ 0.00454384,  0.10397154,  0.20339924,  0.30282694,  0.40225465,
           0.50168235,  0.60111005,  0.70053775,  0.79996545,  0.89939315,
           0.99882086]),
    <a list of 10 Patch objects>)
   
   In [10]: fig.savefig('hists.png')
   
   In [11]: !open hists.png

   And here's sample output:

   

   I don't think there's anything wrong. As @mdboom pointed out in the original email, the axes contain all the data. Perhaps the in the case where histtype='step' we could handle the trailing bin edges better, by setting ylim such that the y-axis in each plot is the same, but I'd think that was for eye-candy?

   I think this issue can probably be closed, but I'll leave it open for a few days just in case I'm missing something.
2. pelson commented on Sep 23, 2012

   

   pelson

   on Sep 23, 2012

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   While the ranges are different, neither look "broken". We don't have an end user for this one, so I would second your assertion that this can be closed.
3. dmcdougall commented on Sep 23, 2012

   

   dmcdougall

   on Sep 23, 2012

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   @pelson Thanks. I thought as much.
4. dmcdougall

   closed this as completedon Sep 23, 2012
5. anntzer

   added a commit that references this issue on Dec 14, 2019

   Raise an ValueError when Axes.pie accepts negative values #159… (#15935)

   b12c761