[Matplotlib-users] ANN matplotlib-0.51

[John H. <jdh...@ac...>]

What's new in matplotlib 0.51

Tkinter backend

  Todd Miller has written a Tkinter backend. This is a significant
  step forward, because now matplotlib works out of the box with any
  python + numeric. The Tkinter backend works interactively from any
  python shell - see the interactive documentation. Also, because
  TkAgg uses the agg backend for rendering, it has all of the features
  of agg, including fast antialiased rendering, freetype2, alpha
  blending, mathtext, and so on. See
  http://matplotlib.sf.net/backends.html#TkAgg. To use the TkAgg
  backend, you must launch your scripts in interactive mode

    > python -i myscript.py -dTkAgg

  otherwise they'll just pop up and disappear.

freetype2 support added for agg backend

  With freetype2, agg now renders fonts nicely even at very small
  raster sizes.

math text

  matplotlib now ships with the BaKoMa TeX Computer Modern fonts, and
  displays math text using TeX expressions. See screenshot
  http://matplotlib.sf.net/screenshots.html#mathtext_demo and the
  mathtext documentation
  http://matplotlib.sf.net/matplotlib.mathtext.html for usage
  information. Currently available on GTK, Agg, TkAgg and GTKAgg. If
  you build matplotlib yourself, you need to edit setup.py and set
  BUILD_FT2FONT

configuration file

  A configuration file is placed in your install path
  (distutils.sysconfig.PREFIX + 'share/matplotlib'). This determines
  many of the default figure properties: the default backend, line
  properties, text properties, colors, and more. See
  http://matplotlib.sf.net/.matplotlibrc for an example configuration
  file and details.  Place this in your home dir (linux and friends),
  or edit in the install path (windows).

numarray support

  Todd Miller has provided a numerix module
  http://matplotlib.sf.net/matplotlib.numerix.html which allows you to
  choose between Numeric of numarray. You can set Numeric or numarray
  in your matplotlibrc file, with an environment variable, or from the
  prompt. See the numerix module for more information and numarray
  issues http://matplotlib.sf.net/NUMARRAY_ISSUES for a summary of
  known issues in using numarray.

data clipping off by default

  Data clipping, as opposed to viewport clipping, is turned off by
  default. You can change the default behavior in .matplotlibrc or set
  it to be true when needed as in examples/stock_demo.py

kwargs in plot commands

  The plot commands now take kwargs that are can be used to set line
  properties (any property that has a set_* method). You can use this
  to set a line label (for auto legends), linewidth, anitialising,
  marker face color, etc. Here is an example:

    plot([1,2,3], [1,2,3], 'go-', label='line 1', linewidth=2)
    plot([1,2,3], [1,4,9], 'rs',  label='line 2')
    axis([0, 4, 0, 10])
    legend()


Bugfixes and minor improvements

    * GTK : fixed a subplot selection GUI bug specific to python2.2
    * GTK : fixed a text layout bug 
    * ALL : Fixed a multiple column subplot layout bug
    * PS  : Fixed an afm parser - thanks Dominique
    * Agg : Agg now respects antialiased=False

Download: 

  http://sourceforge.net/project/showfiles.php?group_id=80706&package_id=82474&release_id=221304