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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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:maxdepth: 1
introduction
whatsnew
installing
examples/index
api
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tutorial/aesthetics
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tutorial/plotting_distributions
tutorial/quantitative_linear_models
tutorial/categorical_linear_models
tutorial/timeseries_plots
tutorial/axis_grids
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