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Minor improvements concerning #6353 and #6357 #6386

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Merged
tacaswell merged 4 commits into from
May 9, 2016
Merged

Minor improvements concerning #6353 and #6357 #6386

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5a4be4c
Correct ylabel in histogram_demo_features.py example
khyox May 6, 2016
f1d075b
Improve the doc of hist in pyplot
khyox May 8, 2016
d6a8e5f
Adjust some doc of hist in pyplot
khyox May 9, 2016
b8f52ad
Avoid trailing whitespace in comment in _axes.py
khyox May 9, 2016
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2 changes: 1 addition & 1 deletion examples/statistics/histogram_demo_features.py
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Expand Up @@ -27,7 +27,7 @@
y = mlab.normpdf(bins, mu, sigma)
plt.plot(bins, y, '--')
plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.ylabel('Probability density')
plt.title(r'Histogram of IQ: $\mu=100$, $\sigma=15$')

# Tweak spacing to prevent clipping of ylabel
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8 changes: 5 additions & 3 deletions lib/matplotlib/axes/_axes.py
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Expand Up @@ -5801,9 +5801,11 @@ def hist(self, x, bins=None, range=None, normed=False, weights=None,
normed : boolean, optional
If `True`, the first element of the return tuple will
be the counts normalized to form a probability density, i.e.,
``n/(len(x)`dbin)``, i.e., the integral of the histogram will sum
to 1. If *stacked* is also *True*, the sum of the histograms is
normalized to 1.
the area (or integral) under the histogram will sum to 1.
This is achieved dividing the count by the number of observations
times the bin width and *not* dividing by the total number
of observations. If `stacked` is also `True`, the sum of the
histograms is normalized to 1.

Default is ``False``

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