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Reorganize intro section on main page
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‎doc/_static/mpl.css

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flex: 0 0 90%;
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}
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}
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/* bullet boxes on main page */
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div.bullet-box-container {
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display: flex;
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flex-wrap: wrap;
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margin: 1em 0;
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}
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div.bullet-box {
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flex-grow: 1;
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width: 28%;
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margin: 0.4em;
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padding: 0 1em;
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background: #eff9ff;
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}
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div.bullet-box p:first-of-type {
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font-size: 1.4em;
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text-align: center;
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}
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div.bullet-box ul {
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padding-left: 1.2em;
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}
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div.bullet-box li {
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padding-left: 0.3em;
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margin-bottom: 0.3em;
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}
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@media only screen and (max-width: 930px){
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div.bullet-box {
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flex: 0 0 90%;
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}
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}

‎doc/index.rst

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.. title:: Matplotlib: Python plotting
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Matplotlib is a Python 2D plotting library which produces publication quality
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figures in a variety of hardcopy formats and interactive environments across
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platforms. Matplotlib can be used in Python scripts, the Python and IPython_
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shells, the Jupyter_ notebook, web application servers, and four graphical user
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interface toolkits.
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Matplotlib: 2D visualization in Python
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--------------------------------------
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.. _IPython: http://ipython.org
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.. _Jupyter: http://jupyter.org
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Matplotlib supports your visualization tasks, from simple one-off plotting to
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complex and interactive figures.
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.. raw:: html
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</div>
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<span class="clear_screenshots"></span>
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Matplotlib tries to make easy things easy and hard things possible. You
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can generate plots, histograms, power spectra, bar charts, errorcharts,
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scatterplots, etc., with just a few lines of code. For examples, see the
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:doc:`sample plots <tutorials/introductory/sample_plots>` and :doc:`thumbnail
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gallery <gallery/index>`.
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For simple plotting the `pyplot` module provides a MATLAB-like interface,
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particularly when combined with IPython. For the power user, you have full
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control of line styles, font properties, axes properties, etc, via an object
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oriented interface or via a set of functions familiar to MATLAB users.
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.. container:: bullet-box-container
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.. container:: bullet-box
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Create
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- Easy creation of numerous standard plots
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- Publication quality output to various file formats
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(png, pdf, svg, ps, ...)
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- Interactive figures (zoom, pan, ...)
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.. container:: bullet-box
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Customize
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- Adapt and tune all aspects of your plot
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- Embed in interactive environments (e.g. IPython_, Jupyter_)
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- Respond to user actions based on the event system
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.. _IPython: http://ipython.org
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.. _Jupyter: http://jupyter.org
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.. container:: bullet-box
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Extend
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- Use additional tailored functionality through
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:doc:`third party packages <thirdpartypackages/index>`
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- Embed in GUI applications (Qt, Tk, Gtk3, Wx)
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- Serve from web servers
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Documentation
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-------------
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~~~~~~~~~~~~~
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This is the documentation for Matplotlib version |version|.
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