On Mon, Aug 23, 2010 at 1:53 PM, xiaoni <wang...@yahoo.com> wrote:
> Hello,
> I got a problem with backend in matplotlib.
> I used ipython for launching the codes and the backend of matplotlib
> is GTKAgg. I have a code.py with a for loop for processing data, and in
> each iteration I read and plot and save the figures. Because there are so
> many figures, I set the non-interative mode and not using "show()" in the
> code. Then the memory is used more and more as the iteration number
> increases, and the most memory is due to write_png function. I guess that
> the figures (though not shown on the screen) from each iteration take the
> memory, and try to close the figures produced at each iteration.
> what I did:
> modify the backend to Agg in the code
> add "close('all')" before each iteration finish.
>
> This works for removing the memory problem. But a new issue arrive.
> After the run is finished, the ipython command window has no response to any
> keyboard input for a few seconds, then a warning message appear:
> "Warning: Timeout for mainloop thread exceeded switching to nonthreaded
> mode (until mainloop wakes up again)",
> and when I tried to quit ipython afterwards, it is stuck there and the
> ipython is crashed.
> But if I tried using "python code.py" , then it works well : no
> warnings.
> Does it mean that we can not use ipython and a backend non-GUI at the
> same time ?
>
> Any one would like to explain a bit ? Thanks in advance !!
>
>
> xiaoni
>
>
>
xiaoni,
For the way that you appear to be using ipython, it might be better to just
use regular python instead. ipython is very useful for interactive systems
and other advanced topics, but for a simple, loop-driven image generator,
python will work just fine.
As for your memory usage, doing a clf() should be helpful to keep it under
control. I should also note that ipython have been known to cause memory
use to grow due to the extra references it holds to the figure data,
although I don't know if this is still true in the latest version that is
currently being worked on.
I hope this helps,
Ben Root
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