Hello,
The current matplotlib installers for Windows are built with Microsoft
Visual Studio 2003/2008 compilers. It is relatively easy once you have
all the dependencies and it gives you working binaries for Python 2.4,
2.5, 2.6, and 2.6 64-bit.
I have found the instructions at
<http://matplotlib.sourceforge.net/users/installing.html> and
<http://docs.python.org/install/> sufficient for building matplotlib
from sources. My setup.cfg is attached.
Matplotlib, when compiled with mingw, had some problems saving png
images
<http://www.mail-archive.com/matplotlib-us...@lists.sourceforge.net/msg11791.html>.
Can you save to pdf?
I have not tried libpng-1.2.40, it is three weeks old, but version
1.2.42 works when PNG_DEPRECATED, PNG_USE_RESULT, PNG_NORETURN,
PNG_ALLOCATED, PNG_DEPSTRUCT, PNG_STDIO_SUPPORTED, and
PNG_SEQUENTIAL_READ_SUPPORTED are defined.
I can not reproduce the GTK problems with the latest official matplotlib
0.99.1, pyGTK 2.12.1-3, and GTK 2.16.6 binaries. Are you using the GTK
or GTKAgg backend?
--
Christoph Gohlke
Laboratory for Fluorescence Dynamics
University of California, Irvine
http://www.lfd.uci.edu/~gohlke/
On 1/20/2010 2:21 PM, Patrick Marsh wrote:
> Greetings,
>
> I recently recreated my development environment on my windows machine
> and have attempted to build MPL off the SVN trunk. I am able to
> successfully compile and build windows installers using both Python
> 2.5.4 and Python 2.6.4 using MinGW. However, when I install my builds
> and try to use them I have some issues.
>
> First, I was unable to build MPL using libpng-1.4.0. I was forced to
> revert to libpng-1.2.40
>
> Python 2.5.4
> 1. After successfully building MPL with GTK support (Yes - I can import
> GTK in my Python interpreter with no problems.), I am unable to show or
> save figures using MPL. Using IPython, I was able to create the figure
> instance but Python quits when trying to display or save said figure
> instance.
>
> 2. After rebuilding MPL without GTK support, I get the same errors.
>
>
> Python 2.6.4
> 1. I am able to display figure instances using MPL build with GTK
> support. However, when I try to save the figure (in any format) Python
> quits.
>
> 2. I get the same behavior when I build MPL without GTK support.
>
>
> I have tried building MPL by building the dependencies myself and also
> with using the win32_static/win32_static_mingw32 folders and get the
> same issues either way. I am hoping whoever is responsible for building
> the windows binaries is willing to work with me to solve these issues.
> I'd like to be able to build MPL successfully using both Python 2.5.4
> and Python 2.6.4 and then write up a detailed How-To build on Windows.
>
> Any help would be appreciated.
>
> Thanks,
> Patrick
# Rename this file to setup.cfg to modify matplotlib's
# build options.
[egg_info]
tag_svn_revision = 1
[status]
# To suppress display of the dependencies and their versions
# at the top of the build log, uncomment the following line:
#suppress = True
#
# Uncomment to insert lots of diagnostic prints in extension code
#verbose = True
[provide_packages]
# By default, matplotlib checks for a few dependencies and
# installs them if missing. This feature can be turned off
# by uncommenting the following lines. Acceptible values are:
# True: install, overwrite an existing installation
# False: do not install
# auto: install only if the package is unavailable. This
# is the default behavior
#
## Date/timezone support:
pytz = True
dateutil = True
#
## Experimental config package support, this should only be enabled by
## matplotlib developers, for matplotlib development
#enthought.traits = False
#configobj = False
[gui_support]
# Matplotlib supports multiple GUI toolkits, including Cocoa,
# GTK, Fltk, MacOSX, Qt, Qt4, Tk, and WX. Support for many of
# these toolkits requires AGG, the Anti-Grain Geometry library,
# which is provided by matplotlib and built by default.
#
# Some backends are written in pure Python, and others require
# extension code to be compiled. By default, matplotlib checks
# for these GUI toolkits during installation and, if present,
# compiles the required extensions to support the toolkit. GTK
# support requires the GTK runtime environment and PyGTK. Wx
# support requires wxWidgets and wxPython. Tk support requires
# Tk and Tkinter. The other GUI toolkits do not require any
# extension code, and can be used as long as the libraries are
# installed on your system.
#
# You can uncomment any the following lines if you know you do
# not want to use the GUI toolkit. Acceptible values are:
# True: build the extension. Exits with a warning if the
# required dependencies are not available
# False: do not build the extension
# auto: build if the required dependencies are available,
# otherwise skip silently. This is the default
# behavior
#
gtk = True
gtkagg = True
tkagg = True
wxagg = True
macosx = False
[rc_options]
# User-configurable options
#
# Default backend, one of: Agg, Cairo, CocoaAgg, GTK, GTKAgg, GTKCairo,
# FltkAgg, MacOSX, Pdf, Ps, QtAgg, Qt4Agg, SVG, TkAgg, WX, WXAgg.
#
# The Agg, Ps, Pdf and SVG backends do not require external
# dependencies. Do not choose GTK, GTKAgg, GTKCairo, MacOSX, TkAgg or WXAgg
# if you have disabled the relevent extension modules. Agg will be used
# by default.
#
backend = TkAgg
#
# The numerix module was historically used to provide
# compatibility between the Numeric, numarray, and NumPy array
# packages. Now that NumPy has emerge as the universal array
# package for python, numerix is not really necessary and is
# maintained to provide backward compatibility. Do not change
# this unless you have a compelling reason to do so.
#numerix = numpy
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