I just tried calling subplot.clear() just before calling
canvas.draw(). Interestingly enough it increases the memory leak rate
by roughly 50%!
By the way, the minimal script is available here if you want to try it:
<http://www.astro.washington.edu/users/rowen/python/matplotlibMemoryLeak.py
>
I would be interested to see your code if it is available. What back
end are you using?
Regards,
-- Russell
On Dec 12, 2010, at 8:08 AM, Friedrich Romstedt wrote:
2010/12/12 Russell Owen <ro...@uw.edu>:
Simply creating a blank Axes and calling canvas.draw() leaks memory
-- even without displaying any data or shifting the x axes.
Okay, as a workaround have you tried ax.clear()?
So the example script provided by you can be boiled down further?
I'm using ax.clear() in a layered approach very extensively and have
never noticed memory leaks with this. I'm having a Layer object which
can be fed by data, and when the data changes, it automatically will
trigger an ax.clear() in the host stack, and then everything is
redrawn. Not the fastest, but fast enough.
Friedrich
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