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Seaborn: statistical data visualization
=======================================

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    <br>
    

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

For a brief introduction to the ideas behind the package, you can read the :ref:`introductory notes <introduction>`.

Much more detail can be found in the seaborn :ref:`tutorial <tutorial>`. You can also browse the :ref:`example gallery <example_gallery>` or :ref:`API reference <api_ref>` to see the kind of tools that are available.

To check out the code, report a bug, or contribute a new feature, please visit
the `github repository <https://github.com/mwaskom/seaborn>`_. You can also get
in touch on `twitter <https://twitter.com/michaelwaskom>`_.
   

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   <h2>Documentation</h2>

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   introduction
   whatsnew
   installing
   examples/index
   api

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   <h2>Tutorial</h2>

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   tutorial/aesthetics
   tutorial/color_palettes
   tutorial/plotting_distributions
   tutorial/quantitative_linear_models
   tutorial/categorical_linear_models
   tutorial/timeseries_plots
   tutorial/axis_grids

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