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File Date Author Commit
 examples 2004-01-27 jdh2358 [r109] updated README and INSTALL
 fonts 2003-09-15 jdh2358 [r25] multiple backed support take II
 images 2003-11-05 jdh2358 [r54] added wx backend
 unit 2003-11-19 jdh2358 [r72] updated transform unit tests
 API_CHANGES 2004-01-27 jdh2358 [r109] updated README and INSTALL
 CHANGELOG 2003-12-18 jdh2358 [r96] added xvfb for gtk
 DEVNOTES 2003-11-21 jdh2358 [r82] removed scriptable pngs from htdocs
 GOALS 2003-05-12 jdh2358 [r12] updated docs
 INSTALL 2004-01-27 jdh2358 [r109] updated README and INSTALL
 INTERACTIVE 2003-05-12 jdh2358 [r13] lots of interactive fixes and an INTERACTIVE howto
 KNOWN_BUGS 2004-01-26 jdh2358 [r102] added API_CHANGES
 LICENSE 2004-01-26 jdh2358 [r101] moved draw_text to renderer
 MANIFEST 2004-01-26 jdh2358 [r105] added EPS save
 MANIFEST.in 2004-01-26 jdh2358 [r104] more ps and text API fixes
 Makefile 2004-01-27 jdh2358 [r109] updated README and INSTALL
 README 2004-01-27 jdh2358 [r109] updated README and INSTALL
 TODO 2004-01-26 jdh2358 [r101] moved draw_text to renderer
 license.py 2003-11-06 jdh2358 [r56] fixed some problems with the file release system
 setup.py 2004-01-27 jdh2358 [r109] updated README and INSTALL

Read Me

INTRODUCTION:
	

   matplotlib is a pure python 2D plotting library with a Matlab?
   syntax which produces publication quality figures using in a
   variety of hardcopy formats (PNG, JPG, TIFF, PS) and interactive
   GUI environments (WX, GTK) across platforms. matplotlib can be used
   in python scripts, interactively from the python shell (ala matlab
   or mathematica), in web application servers generating dynamic
   charts, or embedded in GTK or WX applications; see backends.

  matplotlib trys to make easy things easy and hard things
  possible. You can generate plots, histograms, power spectra, bar
  charts, errorcharts, scatterplots, etc, with just a few lines of
  code. For example, to make a histogram of data in x, you simply need
  to type

  >>> hist(x, 100)   # use 100 bins
  

  For the power user, you have full control of line styles, font
  properties, axes properties, etc, via an object oriented interface
  or via a handle graphics interface familiar to matlab users. A
  summary of the goals of matplotlib and the progress so far can be
  found here.

REQUIREMENTS:

   python 2.2+, and Numeric-22+.  Other requirements are backend
   dependent.  See http://matplotlib.sourceforge.net/backends.html

INSTALL

  If you have the requirements, just do 'python setup.py install'.


  Quick start install instructions can be found here -
  http://matplotlib.sourceforge.net/installing.html

  For backend specific install information see
  http://matplotlib.sourceforge.net/backends.html

  If you want to use matplotlib interactively from the prompt, see
  http://matplotlib.sourceforge.net/interactive.html


EXAMPLES

  See the examples in the examples dir.  To see examples scripts with
  the outputs they produce, see
  http://matplotlib.sourceforge.net/screenshots.html

AUTHOR

  John D. Hunter <jdhunter@ace.bsd.uchicago.edu>
  Copyright (c) 2002-2004 John D. Hunter; All Rights Reserved.

  Jeremy O'Donoghue wrote the wx backend

  See http://matplotlib.sourceforge.net/credits.html for additionaly
  contributors

LICENSE

  Based on that of python 2.2.  See the LICENSE file that ships with
  the matplotlib source code or
  http://matplotlib.sourceforge.net/license.html
  
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