Modulefinder
module which is used to determine dependencies gets "confused" and thinks you need Tkinter
.
If you run following script...
from modulefinder import ModuleFinder
finder = ModuleFinder()
finder.run_script('test.py')
print finder.report()
...you will see found modules (shortened):
Name File
---- ----
m BaseHTTPServer C:\Python27\lib\BaseHTTPServer.py
m ConfigParser C:\Python27\lib\ConfigParser.py
m FixTk C:\Python27\lib\lib-tk\FixTk.py
m SocketServer C:\Python27\lib\SocketServer.py
m StringIO C:\Python27\lib\StringIO.py
m Tkconstants C:\Python27\lib\lib-tk\Tkconstants.py
m Tkinter C:\Python27\lib\lib-tk\Tkinter.py
m UserDict C:\Python27\lib\UserDict.py
m _LWPCookieJar C:\Python27\lib\_LWPCookieJar.py
...
So now we know that Tkinter
is imported, but it is not very useful. The report does not show what is the offending module. However, it is enough information to exclude Tkinter
by modifying py2exe script:
from distutils.core import setup
import py2exe
setup(script_args = ['py2exe'],
windows=[{'script':'test.py'}],
options = {'py2exe': {'compressed':1,
'bundle_files': 1,
'excludes': ['Tkconstants', 'Tkinter']
},
},
zipfile = None)
Usually that is enough. If you are still curious what modules are the offending ones, ModuleFinder
is not much helpful. But you can install modulegraph
and its dependency altgraph
. Then you can run the following script and redirect the output to a HTML file:
import modulegraph.modulegraph
m = modulegraph.modulegraph.ModuleGraph()
m.run_script("test.py")
m.create_xref()
You will get dependency graph, where you will find that:
numpy -> numpy.lib -> numpy.lib.utils -> pydoc -> Tkinter