matplotlib-users Mailing List for matplotlib

I notice that the illegal instruction does not occur when the figure
does not contain any axes.

Fabrice

Le vendredi 14 mai 2010 à 10:06 -0400, Michael Droettboom a écrit : 
> Can you get a gdb backtrace?
> 
> (Run "gdb python", then "run name_of_script.py", cause it to crash, and 
> type "bt" in gdb console...)

Here is the backtrace:
        (gdb) run test_plt.py 
        Starting program: /usr/bin/python test_plt.py
        [Thread debugging using libthread_db enabled]
        /usr/lib/pymodules/python2.5/matplotlib/backends/backend_gtk.py:621: DeprecationWarning: Use the new widget gtk.Tooltip
          self.tooltips = gtk.Tooltips()
        
        Program received signal SIGILL, Illegal instruction.
        0xb767b638 in ATL_diamax_xp1yp0aXbX ()
        from /usr/lib/libblas.so.3gf
        (gdb) bt
        #0  0xb767b638 in ATL_diamax_xp1yp0aXbX ()
        from /usr/lib/libblas.so.3gf
        #1  0x00000000 in ?? ()
        (gdb)

Surprisingly, the troubles come from libblas. In fact, I daily update my
debian and, on wednesday, the package libatlas3gf-base has been updated
from 3.8.3-21 to 3.8.3-22. It seems that it had some side-effect on
matplotlib behaviour...
But why does the interpreter crash only when the pointer enters the
figure canvas??


-- 
Fabrice Silva <si...@lm...>
LMA UPR CNRS 7051

Hello,
I am writing a GUI using GTK+ library. I have a question about axes class imshow method memory consumtion. If I pass the imshow an array, the resulting memory consuption is approximatelly 46 times greater than the array size. If I do not add the canvas to a window (in a code below), the memory consuption is "only" 8 times greater. Any tips on how to reduce the memory consuption would be very appreciated and any explanation of how much memmory imshow allocates too. Configuration and script are below.

os: Windowx XP
matplotlib version: 0.99.1
downloaded from: sourceforge.net

script:
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg
from pylab import rand
import gtk

window = gtk.Window()
window.connect("destroy", gtk.main_quit)

figure = Figure(figsize=(8,6), dpi=72)
canvas = FigureCanvasGTKAgg(figure)
axes = figure.add_subplot(111)

window.add(canvas)

axes.imshow(rand(1024,1024))
canvas.draw()
window.show_all()

gtk.main()

verbose-helpful output:
$HOME=C:\Documents and Settings\Sensej
CONFIGDIR=C:\Documents and Settings\Sensej\.matplotlib
matplotlib data path C:\Python26\lib\site-packages\matplotlib\mpl-data
loaded rc file C:\Python26\lib\site-packages\matplotlib\mpl-data\matplotlibrc
matplotlib version 0.99.1
verbose.level helpful
interactive is False
units is False
platform is win32
Using fontManager instance from C:\Documents and Settings\Sensej\.matplotlib\fontList.cache
backend GTKAgg version 2.12.1
findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium to Bitstream Vera Sans (C:\Python26\lib\site-packages\matplotlib\mpl-data\fonts\ttf\Vera.ttf) with score of 0.000000

Thank you,
Tomas.