@@ -22,8 +22,9 @@ Toolkits are collections of application-specific functions that extend matplotli
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.. _toolkit_basemap :
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- Basemap (*Not distributed with matplotlib *)
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- ============================================
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+ Basemap
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+ =======
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+ (*Not distributed with matplotlib *)
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Plots data on map projections, with continental and political
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boundaries, see `basemap <http://matplotlib.org/basemap >`_
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- Cartopy (*Not distributed with matplotlib *)
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- ============================================
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+ Cartopy
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+ =======
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+ (*Not distributed with matplotlib *)
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+
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An alternative mapping library written for matplotlib ``v1.2 `` and beyond.
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`Cartopy <http://scitools.org.uk/cartopy/docs/latest >`_ builds on top of
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matplotlib to provide object oriented map projection definitions and close
@@ -69,8 +72,9 @@ Excel. This toolkit ships with matplotlib, but requires
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.. _toolkit_natgrid :
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- Natgrid (*Not distributed with matplotlib *)
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- ===========================================
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+ Natgrid
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+ =======
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+ (*Not distributed with matplotlib *)
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mpl_toolkits.natgrid is an interface to natgrid C library for gridding
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irregularly spaced data. This requires a separate installation of the
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.. _toolkit_mplot3d :
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mplot3d
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- ===========
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+ =======
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:ref: `mpl_toolkits.mplot3d <toolkit_mplot3d-index >` provides some basic 3D plotting (scatter, surf,
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line, 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
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distributed with matplotlib source.
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.. image :: /_static/demo_axes_grid.png
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+
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+ .. _toolkit_mpldatacursor :
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+
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+ MplDataCursor
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+ =============
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+ (*Not distributed with matplotlib *)
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+
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+ `MplDataCursor <https://github.com/joferkington/mpldatacursor >`_ is a
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+ toolkit written by Joe Kington to provide interactive "data cursors"
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+ (clickable annotation boxes) for matplotlib.
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+
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+ prettyplotlib
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+ =============
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+ `prettyplotlib <olgabot.github.io/prettyplotlib >`_ is an extension
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+ to matplotlib which changes many of the defaults to make plots some
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+ consider more attractive.
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+
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+ ###################
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+ High-Level Plotting
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+ ###################
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+
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+ Several projects have started to provide a higher-level interface to
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+ matplotlib. These are independent projects.
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+
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+ Seborn
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+ ======
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+ (*Not distributed with matplotlib *)
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+
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+ `Seaborn <www.stanford.edu/~mwaskom/software/seaborn/ >`_ is a Python
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+ visualization library based on matplotlib. It provides a high-level
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+ interface for drawing attractive statistical graphics.
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+
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+ ggplot
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+ ======
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+ (*Not distributed with matplotlib *)
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+
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+ `ggplot <https://github.com/yhat/ggplot/ >`_ is a port of the R ggplot2
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+ to python based on matplotlib.
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