Read Me

INTRODUCTION:
	

   matplotlib is a pure python 2D plotting library with a Matlab(TM)
   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 at http://matplotlib.sf.net/goals.html.

REQUIREMENTS:

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

INSTALL

   The latest installation instructions can be found at

    http://matplotlib.sourceforge.net/installing.html

  and 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