Re: [Matplotlib-users] Segmentation fault when calling imshow with complex array

[Michael D. <md...@st...>]

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