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Update doc/thirdpartypackages/index.rst
- Add a few more subdivisions (specialty plots, interactivity). - Sort packages alphabetically within subdivisions. - Reword a few sentences. - Reflow long lines.
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‎doc/thirdpartypackages/index.rst‎

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.. _thirdparty-index:
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*********************
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Third party packages
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*********************
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Several external packages that extend or build on Matplotlib functionality
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exist. Below we list a number of these. Note that they are each
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maintained and distributed separately from Matplotlib, and will need
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to be installed individually.
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********************
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Third party packages
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********************
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Please submit an issue or pull request
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on Github if you have created a package that you would like to have included.
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We are also happy to host third party packages within the `Matplotlib Github
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Organization <https://github.com/matplotlib>`_.
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Several external packages that extend or build on Matplotlib functionality are
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listed below. They are maintained and distributed separately from Matplotlib
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and thus need to be installed individually.
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.. _hl_plotting:
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Please submit an issue or pull request on Github if you have created
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a package that you would like to have included. We are also happy to
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host third party packages within the `Matplotlib Github Organization
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<https://github.com/matplotlib>`_.
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High-Level Plotting
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*******************
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Mapping toolkits
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****************
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Several projects provide higher-level interfaces for creating
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matplotlib plots.
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Basemap
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=======
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`Basemap <http://matplotlib.org/basemap>`_ plots data on map projections, with
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continental and political boundaries.
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.. _toolkit_seaborn:
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.. image:: /_static/basemap_contour1.png
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:height: 400px
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seaborn
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Cartopy
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=======
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`Cartopy <http://scitools.org.uk/cartopy/docs/latest>`_ builds on top
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of Matplotlib to provide object oriented map projection definitions
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and close integration with Shapely for powerful yet easy-to-use vector
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data processing tools. An example plot from the `Cartopy gallery
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<http://scitools.org.uk/cartopy/docs/latest/gallery.html>`_:
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`seaborn <http://seaborn.pydata.org/>`_ is a high level interface for drawing
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statistical graphics with matplotlib. It aims to make visualization a central
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part of exploring and understanding complex datasets.
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.. image:: /_static/seaborn.png
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:height: 157px
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.. image:: /_static/cartopy_hurricane_katrina_01_00.png
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:height: 400px
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.. _toolkit_ggplot:
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Declarative libraries
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*********************
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ggplot
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======
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`ggplot <https://github.com/yhat/ggplot>`_ is a port of the R ggplot2 package
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to python based on matplotlib.
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to python based on Matplotlib.
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.. image:: /_static/ggplot.png
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:height: 195px
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.. _toolkit_holoviews:
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holoviews
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=========
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`holoviews <http://holoviews.org>`_ makes it easier to visualize data
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interactively, especially in a `Jupyter notebook
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<http://jupyter.org>`_, by providing a set of declarative
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plotting objects that store your data and associated metadata. Your
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data is then immediately visualizable alongside or overlaid with other
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data, either statically or with automatically provided widgets for
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parameter exploration.
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interactively, especially in a `Jupyter notebook <http://jupyter.org>`_, by
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providing a set of declarative plotting objects that store your data and
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associated metadata. Your data is then immediately visualizable alongside or
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overlaid with other data, either statically or with automatically provided
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widgets for parameter exploration.
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.. image:: /_static/holoviews.png
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:height: 354px
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Specialty plots
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***************
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.. _toolkits-mapping:
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Matplotlib-Venn
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===============
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`Matplotlib-Venn <https://github.com/konstantint/matplotlib-venn>`_ provides a
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set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn
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diagrams.
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Mapping Toolkits
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****************
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mpl-probscale
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=============
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`mpl-probscale <http://matplotlib.org/mpl-probscale/>`_ is a small extension
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that allows Matplotlib users to specify probabilty scales. Simply importing the
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``probscale`` module registers the scale with Matplotlib, making it accessible
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via e.g., ``ax.set_xscale('prob')`` or ``plt.yscale('prob')``.
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Two independent mapping toolkits are available.
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.. image:: /_static/probscale_demo.png
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.. _toolkit_basemap:
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mplstereonet
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============
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`mplstereonet <https://github.com/joferkington/mplstereonet>`_ provides
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stereonets for plotting and analyzing orientation data in Matplotlib.
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Basemap
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Natgrid
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=======
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`mpl_toolkits.natgrid <https://github.com/matplotlib/natgrid>`_ is an interface
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to the natgrid C library for gridding irregularly spaced data.
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Plots data on map projections, with continental and political
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boundaries. See `basemap <http://matplotlib.org/basemap>`_
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docs.
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.. image:: /_static/basemap_contour1.png
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:height: 400px
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Cartopy
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pyUpSet
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=======
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`Cartopy <http://scitools.org.uk/cartopy/docs/latest>`_ builds on top of
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matplotlib to provide object oriented map projection definitions and close
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integration with Shapely for powerful yet easy-to-use vector data processing
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tools. An example plot from the
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`Cartopy gallery <http://scitools.org.uk/cartopy/docs/latest/gallery.html>`_:
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`pyUpSet <https://github.com/ImSoErgodic/py-upset>`_ is a
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static Python implementation of the `UpSet suite by Lex et al.
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<http://www.caleydo.org/tools/upset/>`_ to explore complex intersections of
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sets and data frames.
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.. image:: /_static/cartopy_hurricane_katrina_01_00.png
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:height: 400px
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seaborn
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=======
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`seaborn <http://seaborn.pydata.org/>`_ is a high level interface for drawing
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statistical graphics with Matplotlib. It aims to make visualization a central
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part of exploring and understanding complex datasets.
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.. image:: /_static/seaborn.png
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:height: 157px
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.. _toolkits-misc:
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.. _toolkits-general:
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Windrose
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========
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`Windrose <https://github.com/scls19fr/windrose>`_ is a Python Matplotlib,
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Numpy library to manage wind data, draw windroses (also known as polar rose
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plots), draw probability density functions and fit Weibull distributions.
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Miscellaneous Toolkits
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**********************
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Interactivity
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*************
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.. _toolkit_probscale:
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mplcursors
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==========
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`mplcursors <https://mplcursors.readthedocs.io>`_ provides interactive data
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cursors for Matplotlib.
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mpl-probscale
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MplDataCursor
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=============
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`mpl-probscale <http://matplotlib.org/mpl-probscale/>`_
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is a small extension that allows matplotlib users to specify probabilty
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scales. Simply importing the ``probscale`` module registers the scale
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with matplotlib, making it accessible via e.g.,
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``ax.set_xscale('prob')`` or ``plt.yscale('prob')``.
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`MplDataCursor <https://github.com/joferkington/mpldatacursor>`_ is a toolkit
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written by Joe Kington to provide interactive "data cursors" (clickable
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annotation boxes) for Matplotlib.
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.. image:: /_static/probscale_demo.png
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Miscellaneous
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*************
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adjustText
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==========
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`adjustText <https://github.com/Phlya/adjustText>`_ is a small library for
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automatically adjusting text position in Matplotlib plots to minimize overlaps
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between them, specified points and other objects.
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.. image:: /_static/adjustText.png
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iTerm2 terminal backend
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=======================
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`matplotlib_iterm2 <https://github.com/oselivanov/matplotlib_iterm2>`_ is an
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external matplotlib backend using iTerm2 nightly build inline image display
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external Matplotlib backend using the iTerm2 nightly build inline image display
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feature.
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.. image:: /_static/matplotlib_iterm2_demo.png
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.. _toolkit_mpldatacursor:
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MplDataCursor
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=============
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`MplDataCursor <https://github.com/joferkington/mpldatacursor>`_ is a
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toolkit written by Joe Kington to provide interactive "data cursors"
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(clickable annotation boxes) for matplotlib.
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.. _toolkit_mplcursors:
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mplcursors
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==========
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`mplcursors <https://mplcursors.readthedocs.io>`_ provides interactive
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data cursors for matplotlib.
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.. _toolkit_natgrid:
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Natgrid
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=======
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mpl_toolkits.natgrid is an interface to natgrid C library for gridding
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irregularly spaced data. This requires a separate installation of the
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`natgrid toolkit <https://github.com/matplotlib/natgrid>`__.
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.. _toolkit_matplotlibvenn:
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Matplotlib-Venn
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===============
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`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.
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mplstereonet
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===============
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`mplstereonet <https://github.com/joferkington/mplstereonet>`_ provides stereonets for plotting and analyzing orientation data in Matplotlib.
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pyupset
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===============
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`pyUpSet <https://github.com/ImSoErgodic/py-upset>`_ is a static Python implementation of the `UpSet suite by Lex et al. <http://www.caleydo.org/tools/upset/>`_ to explore complex intersections of sets and data frames.
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Windrose
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===============
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`Windrose <https://github.com/scls19fr/windrose>`_ is a Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
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adjustText
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===============
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`adjustText <https://github.com/Phlya/adjustText>`_ is a small library for automatically adjusting text position in matplotlib plots to minimize overlaps between them, specified points and other objects.
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.. image:: /_static/adjustText.png

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