Hi, I am trying to run a relatively large code, which includes some calls to and import from pylab/matplotlib, on a remote machine: the part of the code I am running is NOT performing any plot so there is no direct access to a display. Unfortunately it still crashes with something like: ---> 40 cursors.MOVE : gdk.Cursor(gdk.FLEUR), 41 cursors.HAND : gdk.Cursor(gdk.HAND2), 42 cursors.POINTER : gdk.Cursor(gdk.LEFT_PTR), RuntimeError: could not create GdkCursor object when it tries to reach the display when importing pylab I guess. I am now doing this from my laptop from a non-fixed IP and there is no easy way for me to forward the display (loging e.g. with ssh -X), or to just isolate the pylab part of the code (lots of files, lots of lines, etc). I am desperately trying to run this long calculation on that remote machine (and do it while my laptop is off, using "screen") because I need a lot of memory and CPU.... How can I overpass this easily (just allowing for the code not to crash with that initialisation and go on with the rest) ??? thanks for any input there Eric ======== running: matplotlib version 0.98.3 Python 2.5.1 (r251:54863, Aug 1 2008, 00:35:20) via IPython 0.9.1
Eric Emsellem wrote: > Hi, > > I am trying to run a relatively large code, which includes some calls to and > import from pylab/matplotlib, on a remote machine: the part of the code I am > running is NOT performing any plot so there is no direct access to a display. > Unfortunately it still crashes with something like: > > ---> 40 cursors.MOVE : gdk.Cursor(gdk.FLEUR), > 41 cursors.HAND : gdk.Cursor(gdk.HAND2), > 42 cursors.POINTER : gdk.Cursor(gdk.LEFT_PTR), > > RuntimeError: could not create GdkCursor object > > when it tries to reach the display when importing pylab I guess. > > I am now doing this from my laptop from a non-fixed IP and there is no easy way > for me to forward the display (loging e.g. with ssh -X), or to just isolate the > pylab part of the code (lots of files, lots of lines, etc). > > I am desperately trying to run this long calculation on that remote machine (and > do it while my laptop is off, using "screen") because I need a lot of memory and > CPU.... How can I overpass this easily (just allowing for the code not to crash > with that initialisation and go on with the rest) ??? > > thanks for any input there > > Eric > Eric: That looks like the error you get from pygtk when there's no X11 running. Can you just use a non-gui backend, like plain Agg? See http://matplotlib.sourceforge.net/faq/installing_faq.html#backends for how to change the default backend. -Jeff > ======== > running: matplotlib version 0.98.3 Python 2.5.1 (r251:54863, Aug 1 2008, > 00:35:20) via IPython 0.9.1 > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX : (303)497-6449 NOAA/OAR/PSD R/PSD1 Email : Jef...@no... 325 Broadway Office : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
Eric Emsellem wrote:
> Hi,
>
> I am trying to run a relatively large code, which includes some calls to and
> import from pylab/matplotlib, on a remote machine: the part of the code I am
> running is NOT performing any plot so there is no direct access to a display.
> Unfortunately it still crashes with something like:
>
> ---> 40 cursors.MOVE : gdk.Cursor(gdk.FLEUR),
> 41 cursors.HAND : gdk.Cursor(gdk.HAND2),
> 42 cursors.POINTER : gdk.Cursor(gdk.LEFT_PTR),
>
> RuntimeError: could not create GdkCursor object
>
> when it tries to reach the display when importing pylab I guess.
>
> I am now doing this from my laptop from a non-fixed IP and there is no easy way
> for me to forward the display (loging e.g. with ssh -X), or to just isolate the
> pylab part of the code (lots of files, lots of lines, etc).
>
> I am desperately trying to run this long calculation on that remote machine (and
> do it while my laptop is off, using "screen") because I need a lot of memory and
> CPU.... How can I overpass this easily (just allowing for the code not to crash
> with that initialisation and go on with the rest) ???
Eric,
You need to set a non-interactive backend, typically agg. The method
depends on exactly what you are doing and what your constraints are.
The easiest may be to put a matplotlibrc file in the directory from
which you are starting your ipython session, or running your script.
All it needs to contain is the single line:
backend : Agg
Alternatively, any script can start with
import matplotlib
matplotlib.use('agg')
This has to come before pylab is imported.
Eric
>
> thanks for any input there
>
> Eric
> ========
> running: matplotlib version 0.98.3 Python 2.5.1 (r251:54863, Aug 1 2008,
> 00:35:20) via IPython 0.9.1
>
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