bdb112 skrev:
Summary:
It is not straightforward to avoid memory leaks/consumption in pylab.
If we define
x = arange(1e6) # adjust size to make the increment visible, yet
fast enough to plot
# then repetition of
plot(x,hold=0) # consumes increasing memory according to ubuntu
system monitor
[...]
I do not know what closing the window does, but in my programs, running
on debian and opensuse, I found that explicitly calling close() solved
my memory leaks with matplotlib.
3/ Are there python/matplotlib memory management tuning parameters I
can tweak?
You could try to import gc, and then call gc.collect() after each call
to close().
docs at: http://docs.python.org/library/gc.html
Hope it helps
/ johan
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