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[2745233] clarify first example in the documentation
svn path=/trunk/matplotlib/; revision=8387
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doc/_templates/index.html

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@@ -24,14 +24,14 @@ <h1>intro</h1>
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alt="screenshots"/></a></p>
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<p>For example, to generate 10,000 gaussian random numbers and make a
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histogram plot binning the data into 100 bins, you simply need to
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<p>For example, using "ipython -pylab" to provide an interactive
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environment, to generate 10,000 gaussian random numbers and plot a
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histogram with 100 bins, you simply need to
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type</p>
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<pre>
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>>> from pylab import randn, hist
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>>> x = randn(10000)
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>>> hist(x, 100)</pre>
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x = randn(10000)
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hist(x, 100)</pre>
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<p>For the power user, you have full control of line styles, font
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properties, axes properties, etc, via an object oriented interface

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