@@ -61,7 +61,7 @@ <h1>Introduction</h1>
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You can generate plots, histograms, power spectra, bar charts,
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errorcharts, scatterplots, etc, with just a few lines of code.
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For a sampling, see the < a href ="{{ pathto('users/screenshots') }} "> screenshots</ a > , < a href ="{{ pathto('gallery') }} "> thumbnail</ a > gallery, and
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- < a href ="examples/index.html "> examples</ a > directory</ p >
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+ < a href ="{{ pathto(' examples') }} "> examples</ a > directory</ p >
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< p > For simple plotting the < tt > pyplot</ tt > interface provides a
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MATLAB-like interface, particularly when combined
@@ -98,9 +98,7 @@ <h1>John Hunter (1968-2012)</h1>
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< h1 > Installation</ h1 >
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- Visit the
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- < a href ="http://matplotlib.org/users/installing.html "> matplotlib
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- installation instructions.</ a > .
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+ Visit the < a href ="{{ pathto('users/installing') }} "> matplotlib installation instructions</ a > .
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< h1 > Documentation</ h1 >
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@@ -112,8 +110,8 @@ <h1>Documentation</h1>
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</ script >
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< p > Trying to learn how to do a particular kind of plot? Check out
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- the < a href ="gallery.html "> gallery</ a > , < a href ="examples/index.html "> examples</ a > ,
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- or the < a href ="api/pyplot_summary.html "> list of plotting
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+ the < a href ="{{ pathto(' gallery') }} "> gallery</ a > , < a href ="{{ pathto(' examples') }} "> examples</ a > ,
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+ or the < a href ="{{ pathto(' api/pyplot_summary') }} "> list of plotting
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commands</ a > .</ p >
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< h4 > Other learning resources</ h4 >
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