.. _toolkits-index:
.. toctree::
:hidden:
axes_grid/index.rst
mplot3d/index.rst
########
Toolkits
########
.. htmlonly::
:Release: |version|
:Date: |today|
.. _toolkits:
Toolkits are collections of application-specific functions that extend matplotlib.
.. _toolkit_basemap:
Basemap
=======
(*Not distributed with matplotlib*)
Plots data on map projections, with continental and political
boundaries, see `basemap `_
docs.
.. image:: /_static/basemap_contour1.png
:height: 400px
Cartopy
=======
(*Not distributed with matplotlib*)
An alternative mapping library written for matplotlib ``v1.2`` and beyond.
`Cartopy `_ builds on top of
matplotlib to provide object oriented map projection definitions and close
integration with Shapely for powerful yet easy-to-use vector data processing
tools. An example plot from the
`Cartopy gallery `_:
.. image:: /_static/cartopy_hurricane_katrina_01_00.png
:height: 400px
.. _toolkit_gtk:
GTK Tools
=========
mpl_toolkits.gtktools provides some utilities for working with GTK.
This toolkit ships with matplotlib, but requires `pygtk
`_.
.. _toolkit_excel:
Excel Tools
===========
mpl_toolkits.exceltools provides some utilities for working with
Excel. This toolkit ships with matplotlib, but requires
`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 from the sourceforge `download
`_
page.
.. _toolkit_mplot3d:
mplot3d
=======
:ref:`mpl_toolkits.mplot3d ` provides some basic 3D plotting (scatter, surf,
line, mesh) tools. Not the fastest or feature complete 3D library out
there, but ships with matplotlib and thus may be a lighter weight
solution for some use cases.
.. plot:: mpl_examples/mplot3d/contourf3d_demo2.py
.. _toolkit_axes_grid:
AxesGrid
========
The matplotlib :ref:`AxesGrid ` toolkit is a collection of helper classes to
ease displaying multiple images in matplotlib. The AxesGrid toolkit is
distributed with matplotlib source.
.. image:: /_static/demo_axes_grid.png
.. _toolkit_mpldatacursor:
MplDataCursor
=============
(*Not distributed with matplotlib*)
`MplDataCursor `_ is a
toolkit written by Joe Kington to provide interactive "data cursors"
(clickable annotation boxes) for matplotlib.
.. _toolkit_prettyplotlib:
prettyplotlib
=============
`prettyplotlib `_ is an extension
to matplotlib which changes many of the defaults to make plots some
consider more attractive.
.. _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 `_ 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.
.. _toolkit_ggplot:
ggplot
======
(*Not distributed with matplotlib*)
`ggplot `_ is a port of the R ggplot2
to python based on matplotlib.