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:html_theme.sidebar_secondary.remove:
seaborn: statistical data visualization
=======================================
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Seaborn is a Python data visualization library based on `matplotlib
<https://matplotlib.org>`_. It provides a high-level interface for drawing
attractive and informative statistical graphics.
For a brief introduction to the ideas behind the library, you can read the
:doc:`introductory notes <tutorial/introduction>` or the `paper
<https://joss.theoj.org/papers/10.21105/joss.03021>`_. Visit the
:doc:`installation page <installing>` to see how you can download the package
and get started with it. You can browse the :doc:`example gallery
<examples/index>` to see some of the things that you can do with seaborn,
and then check out the :doc:`tutorials <tutorial>` or :doc:`API reference <api>`
to find out how.
To see the code or report a bug, please visit the `GitHub repository
<https://github.com/mwaskom/seaborn>`_. General support questions are most at home
on `stackoverflow <https://stackoverflow.com/questions/tagged/seaborn/>`_, which
has a dedicated channel for seaborn.
.. grid-item-card:: Contents
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.. toctree::
:maxdepth: 1
Installing <installing>
Gallery <examples/index>
Tutorial <tutorial>
API <api>
Releases <whatsnew/index>
Citing <citing>
FAQ <faq>
.. grid-item-card:: Features
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* :bdg-secondary:`New` Objects: :ref:`API <objects_api>` | :doc:`Tutorial <tutorial/objects_interface>`
* Relational plots: :ref:`API <relational_api>` | :doc:`Tutorial <tutorial/relational>`
* Distribution plots: :ref:`API <distribution_api>` | :doc:`Tutorial <tutorial/distributions>`
* Categorical plots: :ref:`API <categorical_api>` | :doc:`Tutorial <tutorial/categorical>`
* Regression plots: :ref:`API <regression_api>` | :doc:`Tutorial <tutorial/regression>`
* Multi-plot grids: :ref:`API <grid_api>` | :doc:`Tutorial <tutorial/axis_grids>`
* Figure theming: :ref:`API <style_api>` | :doc:`Tutorial <tutorial/aesthetics>`
* Color palettes: :ref:`API <palette_api>` | :doc:`Tutorial <tutorial/color_palettes>`
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