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Ecosystem
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TomAugspurger committed Sep 18, 2018
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`seaborn <https://seaborn.pydata.org>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Seaborn is a Python visualization library based on `matplotlib
<http://matplotlib.org>`__. It provides a high-level, dataset-oriented
Seaborn is a Python visualization library based on
`matplotlib <http://matplotlib.org>`__. It provides a high-level, dataset-oriented
interface for creating attractive statistical graphics. The plotting functions
in seaborn understand pandas objects and leverage pandas grouping operations
internally to support concise specification of complex visualizations. Seaborn
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(Note: HTML tables may or may not be
compatible with non-HTML Jupyter output formats.)

See :ref:`Options and Settings <options>` and :ref:`<options.available>`
See :ref:`Options and Settings <options>` and :ref:`options.available <available>`
for pandas ``display.`` settings.

`quantopian/qgrid <https://github.com/quantopian/qgrid>`__
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Most pandas classes, methods and data attributes can be autocompleted in
Spyder's `Editor <https://docs.spyder-ide.org/editor.html>`__ and
`IPython Console <https://docs.spyder-ide.org/ipythonconsole.html>`__,
and Spyder's `Help pane<https://docs.spyder-ide.org/help.html>`__ can retrieve
and Spyder's `Help pane <https://docs.spyder-ide.org/help.html>`__ can retrieve
and render Numpydoc documentation on pandas objects in rich text with Sphinx
both automatically and on-demand.

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