matplotlib Code

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@header@ 

<h2>matplotlib backends</h2>

The matplotlib core graphics routines interact with an abstract
renderer and graphics context to allow device independent ouput.
Currently, output to pygtk, wxpython, postscript, gdmodule and
libart/paint are supported.  With not too much effort, you can port
matplotlib to your favorite display; high on my list of priorities are
SVG, PDF, Tkinter and PIL.  If you are interested in porting to one of
these platforms, please contact me!<p>
 
You can choose your backend renderer from the command line prompt.
Most if not all matplotlib scripts can generate output to any of the
backends without any alterations.  Following the lead of the matlab
<tt>print</tt> command, the backend can be chosen from the command
line with the <tt>-d</tt> flag, as in

<pre>
> python subplot_demo.py -dGTK     # the GTK backend
> python subplot_demo.py -dPS      # the postscript backend
> python subplot_demo.py -dGD      # the GD backend
> python subplot_demo.py -dWX      # the WX backend
> python subplot_demo.py -dPaint   # the Paint backend
</pre>

For backends that do not have a GUI, no output will be produced unless
a call to <a href=matplotlib.matlab.html#-savefig>savefig</a> is made.
The recommended way to use the savefig function is to not give an
extension.  The backends will choose the proper extension.  This
allows you to write a single script and select the output format from
the command line.  So a script containing <tt>savefig('somefile')</tt>
will create <tt>somefile.ps</tt> if called with <tt>-dPS</tt> and
<tt>somefile.png</tt> if called with <tt>-dGD</tt>, and so on.<p>

Alternatively, you can select the backend renderer in your script by
calling the matplotlib <a href=matplotlib.matlab.html#-use>use</a>
function.  At the top of your script (before you <tt>import
matplotlib.matlab</tt>, just do, for example

<pre>
import matplotlib
matplotlib.use('PS')
</pre>

The current backend strings that are supported are 
<a
href=matplotlib.backends.backend_gd.html>GD</a>, <a
href=matplotlib.backends.backend_gtk.html>GTK</a>, <a
href=matplotlib.backends.backend_ps.html>PS</a> <a
href=matplotlib.backends.backend_ps.html>WX</a> <a
href=matplotlib.backends.backend_paint.html>Paint</a> and <a
href=matplotlib.backends.backend_template.html>Template</a>.


The default is GTK.  Template is a do nothing backend that serves as a
template for backend writers (volunteers welcome!).<p>

To get the most of your backend of choice, you may need to set an
environment variable controlling the fonts; see <a
href="fonts.html">fonts</a> for more information.<p>

<h2>Backend requirements</h2>

Each of the backends have a different set of requirements, listed
below.  All require the <a
href=http://sourceforge.net/projects/numpy>Numeric</a> module.  Note,
matplotlib can also be made to work with numarray with minor changes;
see the <a href=faq.html#NUMARRAY>FAQ</a>.
<p>


Specific information for installing the other backends can be found on
this page below or by clicking
<ul>
<li><a href=backends.html#GTK>GTK</a></li>
<li><a href=backends.html#WX>WX</a></li>
<li><a href=backends.html#PS>PS</a></li>
<li><a href=backends.html#Paint>Paint</a></li>
<li><a href=backends.html#GD>GD</a></li>
</ul>


<a name=GTK><h3>GTK</h3></a>

This is the default backend and the first one supported by matplotlib;
it requires

<ul> 

  <li><a href=http://www.pfdubois.com/numpy>Numeric</a></li>

  <li><a href=http://prdownloads.sourceforge.net/gtk-win>
GTK runtime</a></li> 

  <li><a href=http://www.daa.com.au/~james/software/pygtk>pygtk</a>
  version 1.99.16 or later</li>

</ul>

<h4>Redhat Users</h4>

  GTK2 became the default with the Redhat Linux 8 series.  If your
  distro is older than that, you'll need to upgrade your desktop,
  upgrade your gtk libs, or upgrade your distro.<p>

  I am not sure what the status of GTK2 versus version number is with
  the other distros, but I would be happy for answers, so if you know,
  please email me @myemail@.  If you put matplotlib in the subject,
  the email will be sure to get past my spam filters.<p>


<h4>Windows Users</h4>

   Windows users should consult <a
   href=http://www.mapr.ucl.ac.be/~gustin/win32_ports>Cedric's pygtk
   for win32 site</a> for information about pygtk for win32.
   Basically, you need to install the <a
   href=http://www.pcpm.ucl.ac.be/~gustin/win32_ports/>GTK 2.2.4
   Runtime</a> and <a
   href=http://www.pcpm.ucl.ac.be/~gustin/win32_ports/binaries/pygtk-2.0.0.win32-py2.3.exe>pygtk-2.0.0</a>
   both of which have friendly windows installers.  After you install
   the runtime, you need to add the bin and lib subdirs of your
   install dir to your PATH.  Cedric's website also provides
   pygtk-1.99.16 for python2.2 users which also works fine with
   matplotlib.<p>

  See the <a href=fonts.html>fonts</a> for more information about
  getting the GTK backend setup for proper font rendering.  If you are
  experiencing warnings about Times font not being found, see this <a
  href=faq.html#WINFONTS>FAQ</a> entry <p>

<a name=WX><h3>WX</h3></a>


Requires <a href=http://www.wxpython.org>wxpython</a>.  Windows users
may want to consider the <a
href=http://www.enthought.com/python>enthought edition</a> of python,
which comes with wxpython and Numeric built in, so matplotlib will
work right out of the box.  matplotlib under WX has been tested on
linux, win32 and OSX.



<a name=GD><h3>GD output</h3></a>
  
The GD module can be used to create images with no X11 server, and is
particularly useful for web application developers who want dynamic
graphing capabilities.  There are a number of prerequisites but they
are easy to install (Windows users should skip ahead to the win32
section).<p>

The GD backend depends on Numeric, gdmodule, gd, TTFQuery and
fonttools.  To ease installation, the latter two packages now ship
with matplotlib.  Set the flag <tt>BUILD_FONTTOOLS</tt> in setup.py to
build both TTFQuery and fonttools with matplotlib.  Below are
instructions for building gdmoule.
	
  <ul>

  <li><a href=http://www.pfdubois.com/numpy>Numeric</a>  --
  Numeric processing in python</li>

  <li><a href=http://www.boutell.com/gd>GD lib</a> -- The GD library.
  Note if you are using linux and have this installed in /usr/lib, you
  will need to install the latest version over the existing install
  unless you have gd-2.0.22 or later</li>

  <li><a
  href=http://newcenturycomputers.net/projects/gdmodule.html>gdmodule-0.52</a>
  -- The python interface to the gd module.</li>

  <li><a href="http://fonttools.sourceforge.net/">font tools</a> -- Base
  library for handling TTF fonts -- required by TTF query.</li>  

   <h4>Quick install guide for GD module: linux and friends</h4>
 
   The latest snapshot of matplotlib requires a patch to
   gdmodule-0.52.  

   <pre>
    cd /var/tmp
    tar xvfz ~/src/gd-2.0.22.tar.gz
    cd gd-2.0.22/
    ./configure --prefix=/usr
    sudo make install

    cd /var/tmp
    tar xvfz ~/python/src/gdmodule-0.52.tar.gz
    cd gdmodule-0.52
    sudo python2.3 Setup.py install

   </pre>
</ul>


<h4>Quick install guide for GD output: Windows</h4>

The windows installer for matplotlib comes with fonttools and TTFQuery
built in.  In addition to that package and Numeric, you'll need

<ul>

<li> The GD DLL <a href=gd/bgd.dll>bgd.dll</a> somewhere in your
PATH</li>

<li> gdmodule for win32 and python2.3 <a href=gd/gdmodule-0.52a.win32-py2.3.exe >gdmodule-0.52a</a>.</li>

</ul>

See the <a href=fonts.html#TTFFONTS>fonts</a> for more information
about getting the GD backend setup for proper font rendering.  Note
the formerly named <tt>GDFONTPATH</tt> is now called
<tt>TTFPATH</tt>.<p>

<a name=PS><h3>Postscript</h3></a>

The only requirement is <a
href=http://sourceforge.net/projects/numpy>Numeric</a>

See the <a href=fonts.html#PSFONTS>fonts page</a> for more information
about getting the postscript backend setup for proper font rendering;
notably, you must make sure there are some '*.afm' files in your
<tt>AFMPATH</tt> if you want to use fonts other than the ones that
ship with matplotlib.


<a name=Paint><h3>Paint</h3></a>

David Moore has written a paint backend for matplotlib.  paint is a <a
href=http://www.levien.com/libart>libart</a> wrapper</a>. In a
nutshell, libart is a svg oriented, high performance, 2D graphics
engine that supports lots of nifty features.  The paint backend
exposes some of them, and David has been extending it to expose more.

The paint backend requires <a
href=http://sourceforge.net/projects/numpy>Numeric</a>, <a
href=http://pypaint.sourceforge.net>pypaint</a> version 0.3.  If you
want cross-platform freetype font selection support, you'll also need
TTFQuery and fonttools - these now ship with matplotlib in both the
src and windows binary distributions.  See <a
href=fonts.html#TTFFONTS> for more information.

libart is highly portable, and the paint backend has been confirmed to
work on win32 and linux.


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