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INTRODUCTION
matplotlib requires at a minimum python 2.3, numpy, libpng and
freetype. To get the most out of matplotlib, you will want to build
some of the optional GUI and image extensions, discussed below.
Matplotlib is known to work on linux, unix, win32 and OS X
platforms.
There are two kinds of matplotlib backends: vector based and raster
based. The vector based backends, SVG, PDF and PS, produce ASCII
text output files *.svg, *.pdf and *.ps. The core raster based
renderer is the http://antigrain.com (agg) backend. This is a high
quality 2D library that supports fast antialiasing, alpha blending
and much more. If you want to produce PNGs or GUI images that
support all of matplotlib's features, you should compile matplotlib
with agg support and use one of the GUI agg backends: GTKAgg, WXAgg,
TkAgg or FLTKAgg.
COMPILING
You will need to have recent versions of freetype, libpng and zlib
installed on your system. If you are using a package manager, also
make sure the devel versions of these packages are also installed
(eg freetype-devel).
matplotlib ships with a setup.cfg.template which you can use to
customize the build process. Copy it to setup.cfg if you need to
customize something. See that files for details of the parameters
you can set.
If you want to use a GUI backend, you will need either Tkinter,
pygtk , wxPython or Qt installed on your system, from src or from a
package manager including the devel packages. You can choose which
backends to enable by setting the flags in setup.cfg, but the default
is to automatically detect your installed GUIs and build support for
them. If you later find that you did not have a GUI toolkit like
pygtk installed when you built matplotlib, but now want it, you will
need to install the toolkit and rebuild matplotlib.
If you have installed prerequisites to nonstandard places and need
to inform matplotlib where they are, edit setupext.py an add the
base dirs to the 'basedir' dictionary entry for your sys.platform.
Eg, if the header to some required library is in
/some/path/include/somheader.h, put /some/path in the basedir list
for your platform.
Once you have everything above set to your liking, just do the usual
thing
python setup.py build
python setup.py install
WINDOWS
If you don't already have python installed, you may want to consider
using the enthought edition of python, which has scipy, numpy, and
wxpython, plus a lot of other goodies, preinstalled -
http://www.enthought.com/python . With the enthought edition of
python + matplotlib installer, the following backends should work
out of the box: agg, wx, wxagg, tkagg, ps, pdf and svg.
For standard python installations, you will also need to install
either numpy, in addition to the matplotlib installer. On some
systems you will also need to download msvcp71.dll library, which
you can download from
http://www.dll-files.com/dllindex/dll-files.shtml?msvcp71 or other
sites. You will need to unzip the archive and drag the dll into
c:\windows\system32
All of the GUI backends run on windows, but TkAgg is probably the
best for interactive use from the standard python shell or ipython.
The windows installer (*.exe) on the download page contains all the
code you need to get up and running. However, there are many
examples that are not included in the windows installer. If you
want to try the many demos that come in the matplotlib src
distribution, download the zip file and look in the examples subdir.
Important: There are known conflicts with some of the backends with
some python IDEs such as pycrust, idle. If you want to
use matplotlib from an IDE, please consult
http://matplotlib.sf.net/backends.html for compatibility
information. You will have the greatest likelihood of
success if you run the examples from the command shell or
by double clicking on them, rather than from an IDE. If
you are interactively generating plots, your best bet is
TkAgg from the standard python shell or ipython.
DISTROS: (rpms, apt, fink, osx, freebsd, gentoo, etc)
RPMS
To build all the backends on a binary linux distro such as redhat,
you need to install a number of the devel libs (and whatever
dependencies they require), I suggest
matplotlib core: zlib, zlib-devel, libpng, libpng-devel,
freetype, freetype-devel, freetype-utils
gtk backend: gtk2-devel, gtk+-devel, pygtk2, glib-devel,
pygtk2-devel, gnome-libs-devel, pygtk2-libglade
tk backend: tcl, tk, tkinter
DEBIAN
matplotlib is part of debian (and ubuntu) so you shoule be able to
apt-get install it.
FREEBSD
http://www.freshports.org/math/py-matplotlib/
Gentoo
http://www.gentoo-portage.com/dev-python/matplotlib
OS X
All of the backends run on OS X. You will need to install
freetype2, libpng and zlib via fink or from src. You will also
need the base libraries for a given backend. Eg, if you want to
run TkAgg, you will need a python with Tkinter; if you want to use
WxAgg, install wxpython. See
http://matplotlib.sf.net/backends.html for a more comprehensive
discussion of the various backend requirements. Edit setup.py to
configure the backends you want to build as described above.
Note when running a GUI backend in OSX, you should launch your
programs with pythonw rather than python, or you may get
nonresponsive GUIs.
FINK
fink users should use Jeffrey Whitaker's fink distribution, which
supports the GTK, TkAgg, GTKAgg, PS, WX, WXAgg and Agg backends.
http://fink.sourceforge.net/pdb/package.php/matplotlib-py23