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 ------------------------------------------------------------------------------ The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE: Pinpoint memory and threading errors before they happen. Find and fix more than 250 security defects in the development cycle. Locate bottlenecks in serial and parallel code that limit performance. http://p.sf.net/sfu/intel-dev2devfeb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
