.. _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

`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.