@@ -73,8 +73,8 @@ large data to thin clients.
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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
@@ -140,7 +140,7 @@ which are utilized by Jupyter Notebook for displaying
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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 >`__
@@ -169,7 +169,7 @@ or the clipboard into a new pandas DataFrame via a sophisticated import wizard.
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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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