@@ -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 +105,49 @@ 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
122+ ============= 
123+ `prettyplotlib  <olgabot.github.io/prettyplotlib >`_ is an extension
124+ to matplotlib which changes many of the defaults to make plots some
125+ consider more attractive.
126+ 
127+ .. _hl_plotting :
128+ ################### 
129+ High-Level Plotting
130+ ################### 
131+ 
132+ Several projects have started to provide a higher-level interface to
133+ matplotlib.  These are independent projects.
134+ 
135+ .. _seaborn :
136+ 
137+ seaborn
138+ ======= 
139+ (*Not distributed with matplotlib *)
140+ 
141+ `seaborn  <www.stanford.edu/~mwaskom/software/seaborn/ >`_ is a high
142+ level interface for drawing statistical graphics with matplotlib. It
143+ aims to make visualization a central part of exploring and
144+ understanding complex datasets.
145+ 
146+ .. _ggplot :
147+ 
148+ ggplot
149+ ====== 
150+ (*Not distributed with matplotlib *)
151+ 
152+ `ggplot  <https://github.com/yhat/ggplot/ >`_ is a port of the R ggplot2
153+ to python based on matplotlib.
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