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Merged
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Oct 19, 2016
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DOC: Remove duplicate documentation from last merge. #7304

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99 changes: 0 additions & 99 deletions doc/mpl_toolkits/index.rst
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Expand Up @@ -73,102 +73,3 @@ Excel Tools
``mpl_toolkits.exceltools`` provides some utilities for working with
Excel. This toolkit ships with matplotlib, but requires
`xlwt <http://pypi.python.org/pypi/xlwt>`_


.. _toolkit_natgrid:

Natgrid
=======
(*Not distributed with matplotlib*)

mpl_toolkits.natgrid is an interface to natgrid C library for gridding
irregularly spaced data. This requires a separate installation of the
`natgrid toolkit <http://github.com/matplotlib/natgrid>`__.


.. _toolkit_matplotlibvenn:

Matplotlib-Venn
===============
(*Not distributed with matplotlib*)

`Matplotlib-Venn <https://github.com/konstantint/matplotlib-venn>`_ provides a set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn diagrams.

mplstereonet
===============
(*Not distributed with matplotlib*)

`mplstereonet <https://github.com/joferkington/mplstereonet>`_ provides stereonets for plotting and analyzing orientation data in Matplotlib.


.. _hl_plotting:

High-Level Plotting
*******************

Several projects have started to provide a higher-level interface to
matplotlib. These are independent projects.

.. _toolkit_seaborn:

seaborn
=======
(*Not distributed with matplotlib*)

`seaborn <https://seaborn.github.io/>`_ is a high level interface for drawing
statistical graphics with matplotlib. It aims to make visualization a central
part of exploring and understanding complex datasets.

.. image:: /_static/seaborn.png
:height: 157px

.. _toolkit_holoviews:

holoviews
=========
(*Not distributed with matplotlib*)

`holoviews <http://holoviews.org>`_ makes it easier to visualize data
interactively, especially in a `Jupyter notebook
<http://jupyter.org>`_, by providing a set of declarative
plotting objects that store your data and associated metadata. Your
data is then immediately visualizable alongside or overlaid with other
data, either statically or with automatically provided widgets for
parameter exploration.

.. image:: /_static/holoviews.png
:height: 354px

.. _toolkit_ggplot:

ggplot
======
(*Not distributed with matplotlib*)

`ggplot <https://github.com/yhat/ggplot>`_ is a port of the R ggplot2
to python based on matplotlib.

.. image:: /_static/ggplot.png
:height: 195px


.. _toolkit_prettyplotlib:

prettyplotlib
=============
(*Not distributed with matplotlib*)

`prettyplotlib <https://olgabot.github.io/prettyplotlib>`_ is an extension
to matplotlib which changes many of the defaults to make plots some
consider more attractive.


iTerm2 terminal backend
=======================
(*Not distributed with matplotlib*)

`matplotlib_iterm2 <https://github.com/oselivanov/matplotlib_iterm2>`_ is an
external matplotlib backend uses iTerm2 nightly build inline image display
feature.

.. image:: /_static/matplotlib_iterm2_demo.png
7 changes: 3 additions & 4 deletions doc/thirdpartypackages/index.rst
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Expand Up @@ -27,10 +27,9 @@ matplotlib plots.
seaborn
=======

`seaborn <http://web.stanford.edu/~mwaskom/software/seaborn>`_ is a high
level interface for drawing statistical graphics with matplotlib. It
aims to make visualization a central part of exploring and
understanding complex datasets.
`seaborn <https://seaborn.github.io/>`_ is a high level interface for drawing
statistical graphics with matplotlib. It aims to make visualization a central
part of exploring and understanding complex datasets.

.. image:: /_static/seaborn.png
:height: 157px
Expand Down