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Ecosystem
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doc/source/ecosystem.rst

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`seaborn <https://seaborn.pydata.org>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Seaborn is a Python visualization library based on `matplotlib
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<http://matplotlib.org>`__. It provides a high-level, dataset-oriented
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Seaborn is a Python visualization library based on
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`matplotlib <http://matplotlib.org>`__. It provides a high-level, dataset-oriented
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interface for creating attractive statistical graphics. The plotting functions
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in seaborn understand pandas objects and leverage pandas grouping operations
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internally to support concise specification of complex visualizations. Seaborn
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(Note: HTML tables may or may not be
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compatible with non-HTML Jupyter output formats.)
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See :ref:`Options and Settings <options>` and :ref:`<options.available>`
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See :ref:`Options and Settings <options>` and :ref:`options.available <available>`
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for pandas ``display.`` settings.
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`quantopian/qgrid <https://github.com/quantopian/qgrid>`__
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Most pandas classes, methods and data attributes can be autocompleted in
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Spyder's `Editor <https://docs.spyder-ide.org/editor.html>`__ and
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`IPython Console <https://docs.spyder-ide.org/ipythonconsole.html>`__,
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and Spyder's `Help pane<https://docs.spyder-ide.org/help.html>`__ can retrieve
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and Spyder's `Help pane <https://docs.spyder-ide.org/help.html>`__ can retrieve
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and render Numpydoc documentation on pandas objects in rich text with Sphinx
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both automatically and on-demand.
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