.. _thirdparty-index: ******************** Third party packages ******************** Several external packages that extend or build on Matplotlib functionality are listed below. They are maintained and distributed separately from Matplotlib and thus need to be installed individually. Please submit an issue or pull request on Github if you have created a package that you would like to have included. We are also happy to host third party packages within the `Matplotlib Github Organization `_. Mapping toolkits **************** Basemap ======= `Basemap `_ plots data on map projections, with continental and political boundaries. .. image:: /_static/basemap_contour1.png :height: 400px Cartopy ======= `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 Declarative libraries ********************* ggplot ====== `ggplot `_ is a port of the R ggplot2 package to python based on Matplotlib. .. image:: /_static/ggplot.png :height: 195px holoviews ========= `holoviews `_ makes it easier to visualize data interactively, especially in a `Jupyter notebook `_, 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 Specialty plots *************** Matplotlib-Venn =============== `Matplotlib-Venn `_ provides a set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn diagrams. mpl-probscale ============= `mpl-probscale `_ is a small extension that allows Matplotlib users to specify probabilty scales. Simply importing the ``probscale`` module registers the scale with Matplotlib, making it accessible via e.g., ``ax.set_xscale('prob')`` or ``plt.yscale('prob')``. .. image:: /_static/probscale_demo.png mplstereonet ============ `mplstereonet `_ provides stereonets for plotting and analyzing orientation data in Matplotlib. Natgrid ======= `mpl_toolkits.natgrid `_ is an interface to the natgrid C library for gridding irregularly spaced data. pyUpSet ======= `pyUpSet `_ is a static Python implementation of the `UpSet suite by Lex et al. `_ to explore complex intersections of sets and data frames. seaborn ======= `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. .. image:: /_static/seaborn.png :height: 157px Windrose ======== `Windrose `_ is a Python Matplotlib, Numpy library to manage wind data, draw windroses (also known as polar rose plots), draw probability density functions and fit Weibull distributions. DeCiDa ====== `DeCiDa `_ is a library of functions and classes for electron device characterization, electronic circuit design and general data visualization and analysis. Interactivity ************* mplcursors ========== `mplcursors `_ provides interactive data cursors for Matplotlib. MplDataCursor ============= `MplDataCursor `_ is a toolkit written by Joe Kington to provide interactive "data cursors" (clickable annotation boxes) for Matplotlib. Miscellaneous ************* adjustText ========== `adjustText `_ is a small library for automatically adjusting text position in Matplotlib plots to minimize overlaps between them, specified points and other objects. .. image:: /_static/adjustText.png iTerm2 terminal backend ======================= `matplotlib_iterm2 `_ is an external Matplotlib backend using the iTerm2 nightly build inline image display feature. .. image:: /_static/matplotlib_iterm2_demo.png