Re: [Matplotlib-users] memory usage with repeated imshow

[Robert A. <ab...@ss...>]

Tom,

I just went through this, though with version 1.01 of mpl, so it may be different.  You can read the 
very long thread at:

http://www.mail-archive.com/mat...@li.../msg20031.html

Those who maintain mpl don't think there is a memory leak. What I found was that imshow() does 
consume a lot of memory (now fixed in the development version) and that the first 2 or so uses build 
on each other, but after that it levels off giving back memory after close().  There is a 
discrepancy between what python reports it's using and what the OS reports (I had 500MB from the OS, 
but only 150MB from python).  There is a chance that ipython is caching your results (try ipython 
-pylab -cs 0), but when I ran without ipython, python still had a large portion of memory.

-robert

On 2/9/2011 3:52 PM, Tom Dimiduk wrote:
> I am using matplotlib pylab in association with ipython -pylab to show
> many large (~2000x2000 or larger) images.  Each time I show another
> image it consumes more memory until eventually exhausting all system
> memory and making my whole system unresponsive.
>
> The easiest way to replicate this behaviour is with
> a = ones((3333,3333))
> imshow(a)
>
> optionally
>
> close()
>
> and then
>
> imshow(a)
>
> again.  I am using ipython .10.1 and matplotlib 0.99.3.  Is there
> something I should be doing differently to avoid this problem?  Is it
> fixed in a later version?
>
> Thanks,
> Tom
>
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