Thanks for the report. This issue is actually already fixed in matplotlib SVN as of r6283:
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib?view=rev&revision=6283 You can use the above patch to patch your local copy if you don't want to install entirely from SVN. Mike Philipp Lies wrote: > Hi, > > I have a problem with pyplot. When I'm passing an numpy array with complex > entries to imshow I receive the error message: > TypeError: array cannot be safely cast to required type > Which is ok, when I thereafter call imshow with a valid image (i)python > segfaults. Sometimes it even segfaults instead of the above error message: > > Python 2.5.2 (r252:60911, Oct 5 2008, 19:29:17) > [GCC 4.3.2] on linux2 > Type "help", "copyright", "credits" or "license" for more information. > >>>> from matplotlib.pyplot import * >>>> > /usr/lib/python2.5/site-packages/pytz/__init__.py:29: UserWarning: Module > dateutil was already imported from > /var/lib/python-support/python2.5/dateutil/__init__.py, but > /var/lib/python-support/python2.5 is being added to sys.path > from pkg_resources import resource_stream > >>>> from numpy import * >>>> X = random.uniform(size=(10,10)) >>>> Xc = X*1j >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x295e2d0> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x253efd0> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x2970f90> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x296d790> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x2973ed0> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x29752d0> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x2975610> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x29758d0> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x2975b90> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x2975e50> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x2975a50> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297b390> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297b6d0> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297b990> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297bc50> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297bf10> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297bb10> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297f4d0> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297f790> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297fa50> > >>>> imshow(X) >>>> > <matplotlib.image.AxesImage object at 0x297fd10> > >>>> imshow(Xc) >>>> > Segmentation fault > > The only deterministic behaviour after calling imshow with a complex array > is that it segfaults anytime. Quite annoying because I forget to convert to > real quite often 8-). > > I use matplotlib, python, and numpy with the latest backport version > available in Ubuntu Intrepid 8.10 amd64 (numpy 1.1.1, python 2.5.2, > matplotlib > 0.98.3). Does also crash in ipython 0.9.1 with and without -pylab flag > started. > > I filed a bug but so far no one responded, so maybe here's some help. > http://sourceforge.net/tracker2/?func=detail&aid=2502029&group_id=80706&atid=560720 > > Cheers > > Phil > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------------ This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
