@@ -15,9 +15,18 @@ <h1>Welcome</h1>
1515
1616 < p > matplotlib tries to make easy things easy and hard things possible.
1717 You can generate plots, histograms, power spectra, bar charts,
18- errorcharts, scatterplots, etc, with just a few lines of code. For
19- example, to generate 10,000 gaussian random numbers and make a
20- histogram plot binning the data into 100 bins, you simply need to type</ p >
18+ errorcharts, scatterplots, etc, with just a few lines of code.
19+ For a sampling, see the < a href ="{{ pathto('users/screenshots') }} "> screenshots</ a > and
20+ < a href ="examples/index.html "> examples</ a > </ p >
21+
22+ < p align ="center "> < a href ="{{ pathto('users/screenshots') }} "> < img align ="middle "
23+ src ="{{ pathto('_static/logo_sidebar_horiz.png', 1) }} " border ="0 "
24+ alt ="screenshots "/> </ a > </ p >
25+
26+
27+ For example, to generate 10,000 gaussian random numbers and make a
28+ histogram plot binning the data into 100 bins, you simply need to
29+ type</ p>
2130
2231 < pre >
2332 > > > from pylab import randn, hist
@@ -26,9 +35,8 @@ <h1>Welcome</h1>
2635
2736 < p > For the power user, you have full control of line styles, font
2837 properties, axes properties, etc, via an object oriented interface
29- or via a handle graphics interface familiar to Matlab® users.</ p >
30-
31- < p > The plotting functions in the < a href ="api/pyplot_api.html "> pyplot</ a >
38+ or via a handle graphics interface familiar to Matlab® users.
39+ The plotting functions in the < a href ="api/pyplot_api.html "> pyplot</ a >
3240 interface have a high degree of Matlab® compatibility.</ p >
3341
3442 < h3 > Plotting commands</ h3 >
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