I will be sure to use "gdb" and "bt" to get that information next time I
encounter the segmentation fault or any other error that I post to
list.
I tried going back to the numpy.dev8106 version just now in an attempt
to recreate the conditions of the error, but I was unsuccessful in
generating any segmentation faults. My guess is that I made some novice
mistake when upgrading the libraries from source.
On Mon, 2010-02-22 at 10:16 -0500, Michael Droettboom wrote:
> Can you provide a gdb backtrace?
>
> Run "gdb python", then at the gdb prompt type "run -c 'import pylab;
> pylab.clf(); pylab.plot(pylab.sin(range(101))); pylab.xlabel("Test X");
> pylab.ylabel("Test Y"); pylab.show()'". After it segfaults, type "bt"
> to get a backtrace, and copy-and-paste it to this list.
>
> Mike
>
> Joseph D Cali wrote:
> > I am encountering the following error:
> >
> > python -c 'import pylab; pylab.clf(); pylab.plot(pylab.sin(range(101)));
> > pylab.xlabel("Test X"); pylab.ylabel("Test Y"); pylab.show()'
> >
> > /local_home/calijos/usr/lib/python2.6/site-packages/matplotlib/backends/backend_gtk.py:621:
> > DeprecationWarning: Use the new widget gtk.Tooltip
> > self.tooltips = gtk.Tooltips()
> > Segmentation fault
> >
> > -------------------------------------------------------------
> >
> > But when I run the following command, I encounter no errors and plot is
> > as expected:
> >
> > python -c 'import pylab; pylab.clf(); pylab.plot(pylab.sin(range(100)));
> > pylab.xlabel("Test X"); pylab.ylabel("Test Y"); pylab.show()'
> >
> > I tried several other plots, any plots with less than 100 points work
> > correctly, any plots with more than 100 points segfault.
> >
> > -------------------------------------------------------------
> >
> > My current system setup is:
> >
> > System: Ubuntu 9.04 x64
> > Python: Python 2.6.2
> > Matplotlib: >0.99.1 (tied 0.99.1.1, 0.99.1.2, and latest SVN version:
> > 8126)
> > Numpy Version: 1.5.0.dev8106
> >
> > I have been a long time Matplotlib user, and have never encountered this
> > issue. It started whenever I updated numpy and scipy. However,
> > reverting to the old version does not seem to fix the situation. I also
> > cannot get numpy to crash on its own. All my software works when
> > plotting is disabled.
> >
> > Has anyone else experienced this or similar problems during an upgrade?
> >
> > Joe
> >
> >
> >
> > ------------------------------------------------------------------------------
> > SOLARIS 10 is the OS for Data Centers - provides features such as DTrace,
> > Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW
> > http://p.sf.net/sfu/solaris-dev2dev
> > _______________________________________________
> > Matplotlib-users mailing list
> > [email protected]
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
>
--
Sincerely,
Joe
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