[ MatPlotLib] is a module to produce nice-looking plots in Python using a wide variety of back-end packages, at least one of which is likely to be available for your system. This ability to do things in a generic fashion makes this a simple system to use, but it gets complicated if you wish to distribute an executable instead of scripts. This page describes what I had to do to make matplotlib work with py2exe.

Special content for to use matplotlib

   1 # We need to import the glob module to search for all files.
   2 import glob
   4 # We need to exclude matplotlib backends not being used by this executable.  You may find
   5 # that you need different excludes to create a working executable with your chosen backend.
   6 # We also need to include matplotlib.numerix.random_array
   7 opts = {
   8     'py2exe': { 'includes': 'matplotlib.numerix.random_array',
   9                 'excludes': ['_gtkagg', '_tkagg'],
  10                 'dll_excludes': ['libgdk-win32-2.0-0.dll',
  11                                  'libgobject-2.0-0.dll']
  12               }
  13        }
  15 # Additional data files are required by matplotlib.  Note that the glob.glob routine
  16 # doesn't seem to pick up the .matplotlib resource file, so I copy that separately.
  17 # Do the same if you need to
  18 setup(
  19     data_files = [(r'matplotlibdata', glob.glob(r'c:\python24\share\matplotlib\*')),
  20                   (r'matplotlibdata', [r'c:\python24\share\matplotlib\.matplotlibrc'])],
  21     name = 'demo',
  22     description = 'MatPlotLib Demo Program',
  23     console = ['']
  24     )

Copying PyTZ folder

Now copy pytz folder from C:\Python24\Lib\site-packages to your dist/ folder and you're done!

Update for newer versions of matplotlib

Recent versions of matplotlib (this is tested with 0.87) have changed the location where data files are found. Here is a sample that works with simple matplotlib samples. It produces massive distributions - more work needs to be done on how to exclude unused backends.

   1 from distutils.core import setup
   2 import py2exe
   4 from distutils.filelist import findall
   5 import os
   6 import matplotlib
   7 matplotlibdatadir = matplotlib.get_data_path()
   8 matplotlibdata = findall(matplotlibdatadir)
   9 matplotlibdata_files = []
  10 for f in matplotlibdata:
  11     dirname = os.path.join('matplotlibdata', f[len(matplotlibdatadir)+1:])
  12     matplotlibdata_files.append((os.path.split(dirname)[0], [f]))
  15 setup(
  16     console=[''],
  17     options={
  18              'py2exe': {
  19                         'packages' : ['matplotlib', 'pytz'],
  20                        }
  21             },
  22     data_files=matplotlibdata_files
  23 )

An easier way to get the list of datafiles

Even more recent version of MatPlotLib(Version 0.90 at least, maybe earlier versions) have a method named matplotlib.get_py2exe_datafiles() which returns a tuple that is ready for use in the data_files argument to distutils.setup(). A minimal utilizing this method would look something like this:

   1 from distutils.core import setup
   2 import py2exe
   4 import matplotlib
   6 setup(
   7     console=[''],
   8     options={
   9              'py2exe': {
  10                         'packages' : ['matplotlib', 'pytz'],
  11                        }
  12             },
  13     data_files=[matplotlib.get_py2exe_datafiles()]
  14 )

Updating _sort confusion

If you're using numarray and numpy together, be aware that they both have a _sort, and py2exe gets them confused. After py2exe creates the dist directotry, copy numpy/core/_sort.pyd and numarray/sort.pyd to their respective locations in the dist.

If you get an error that numarray module has no functionDict in at line 176, then you'll know that py2exe confused the _sort modules that are in both numpy and numarray and need to do this step.