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Hello everybody. I just created a new MEP https://github.com/matplotlib/matplotlib/wiki/Mep23for the modification of the FugureManager adding the possibility to have several canvases under the same window. Please check it out and let me know what you think. Thank you. Federico
I can confirm that after running the test suite with matplotlib.test() on a OSX 10.9 machine I end up with using around 1.5 Gb of memory. Furthermore the Python console that the tests are running from is extremely slow after the tests. Doing a gc.collect() frees most of the memory and returns the console to normal. I have only tested this with the stable 1.3.1 release /Jens On Sun, May 4, 2014 at 9:38 PM, Eric Firing <ef...@ha...> wrote: > When I try to run matplotlib/tests.py on master, linux, python 2.7, in a > virtual machine with 4GB, the memory use grows out of control. Just > running the test_axes chews up 1.5 G. Has anyone else seen this? > > Eric > > > ------------------------------------------------------------------------------ > "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE > Instantly run your Selenium tests across 300+ browser/OS combos. Get > unparalleled scalability from the best Selenium testing platform available. > Simple to use. Nothing to install. Get started now for free." > http://p.sf.net/sfu/SauceLabs > _______________________________________________ > Matplotlib-devel mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >
When I try to run matplotlib/tests.py on master, linux, python 2.7, in a virtual machine with 4GB, the memory use grows out of control. Just running the test_axes chews up 1.5 G. Has anyone else seen this? Eric