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
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
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Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
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
> Matplotlib-users@lists.sourceforge.net
> matplotlib-users List Signup and Options
>
--
Sincerely,
Joe