@@ -22,8 +22,9 @@ Toolkits are collections of application-specific functions that extend matplotli
2222
2323.. _toolkit_basemap :
2424
25- Basemap (*Not distributed with matplotlib *)
26- ============================================
25+ Basemap
26+ =======
27+ (*Not distributed with matplotlib *)
2728
2829Plots data on map projections, with continental and political
2930boundaries, see `basemap <http://matplotlib.org/basemap >`_
3435
3536
3637
37- Cartopy (*Not distributed with matplotlib *)
38- ============================================
38+ Cartopy
39+ =======
40+ (*Not distributed with matplotlib *)
41+
3942An alternative mapping library written for matplotlib ``v1.2 `` and beyond.
4043`Cartopy <http://scitools.org.uk/cartopy/docs/latest >`_ builds on top of
4144matplotlib to provide object oriented map projection definitions and close
@@ -69,8 +72,9 @@ Excel. This toolkit ships with matplotlib, but requires
6972
7073.. _toolkit_natgrid :
7174
72- Natgrid (*Not distributed with matplotlib *)
73- ===========================================
75+ Natgrid
76+ =======
77+ (*Not distributed with matplotlib *)
7478
7579mpl_toolkits.natgrid is an interface to natgrid C library for gridding
7680irregularly spaced data. This requires a separate installation of the
8286.. _toolkit_mplot3d :
8387
8488mplot3d
85- ===========
89+ =======
8690
8791:ref: `mpl_toolkits.mplot3d <toolkit_mplot3d-index >` provides some basic 3D plotting (scatter, surf,
8892line, mesh) tools. Not the fastest or feature complete 3D library out
@@ -101,3 +105,41 @@ ease displaying multiple images in matplotlib. The AxesGrid toolkit is
101105distributed with matplotlib source.
102106
103107.. image :: /_static/demo_axes_grid.png
108+
109+ .. _toolkit_mpldatacursor :
110+
111+ MplDataCursor
112+ =============
113+ (*Not distributed with matplotlib *)
114+
115+ `MplDataCursor <https://github.com/joferkington/mpldatacursor >`_ is a
116+ toolkit written by Joe Kington to provide interactive "data cursors"
117+ (clickable annotation boxes) for matplotlib.
118+
119+ prettyplotlib
120+ =============
121+ `prettyplotlib <olgabot.github.io/prettyplotlib >`_ is an extension
122+ to matplotlib which changes many of the defaults to make plots some
123+ consider more attractive.
124+
125+ ###################
126+ High-Level Plotting
127+ ###################
128+
129+ Several projects have started to provide a higher-level interface to
130+ matplotlib. These are independent projects.
131+
132+ Seborn
133+ ======
134+ (*Not distributed with matplotlib *)
135+
136+ `Seaborn <www.stanford.edu/~mwaskom/software/seaborn/ >`_ is a Python
137+ visualization library based on matplotlib. It provides a high-level
138+ interface for drawing attractive statistical graphics.
139+
140+ ggplot
141+ ======
142+ (*Not distributed with matplotlib *)
143+
144+ `ggplot <https://github.com/yhat/ggplot/ >`_ is a port of the R ggplot2
145+ to python based on matplotlib.
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