A new release of matplotlib is posted to the sourceforge download
site.
You can read the release notes with links at
http://matplotlib.sourceforge.net/whats_new.html

  Download: Downloads: 
http://sourceforge.net/project/showfiles.php?group_id=80706
  Homepage: http://matplotlib.sourceforge.net
  Screenshots: http://matplotlib.sourceforge.net/screenshots.html


What's new:

enhanced mathtext - Complete revamp of matplotlib's internal math
layout and rendering engine. Michael Droetboom has improved the TeX
parser to significantly expand it's coverege, and implemeted Knuth's
box layout algorithms. Additionally, the much anticipated STIX fonts
for math expressions have come online and ship with matplotlib. See a
sample of the new mathtext at
http://matplotlib.sourceforge.net/screenshots.html#mathtext_examples

better configuration - Darren Dale has provided support for a site.cfg
configuration file to enable users and package maintainers to have
better control over the matplotlib build process. He has also provided
a (currently optional) enthought.traits enabled property configuration
to replace matplotlib's rc configuration using a maplotlib.conf file

writing to file-like objects - You can now pass file like objects (eg
StringIO) to all backends for hardcopy. This has been a much requested
feature for usage in web application servers.

record array support - New functions for loading, displaying and
saving numpy record arrays in matplotlib.mlab. See for example,
http://matplotlib.sourceforge.net/examples/loadrec.py

pyplot - Added a module matplotlib.pyplot which has all of pylab's
plotting functions (eg figure, plot, show, close) but does not import
the numpy namepace. This is useful for those who want to use the pylab
functionality w/o the namespace clutter.
http://matplotlib.sourceforge.net/matplotlib.pyplot.html

maskedarray - Added optional support for the scipy sandbox masked
array packaged. Configurable with an rc setting.

plotfile - Added new pylab/pyplot command plotfile for gnuplot style
file plotting
http://matplotlib.sourceforge.net/matplotlib.pyplot.html#-plotfile
http://matplotlib.sourceforge.net/examples/plotfile_demo.py

And lots more....
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