On Tue, Apr 19, 2011 at 2:25 PM, Michael Droettboom <md...@stsci.edu> wrote: > Ok. I have a RHEL5 Linux box with Python 2.7.1. > > With Numpy 1.4.1 and 1.5.1 I don't see any leaks. With Numpy git HEAD, > I did see a leak -- I submitted a pull request to Numpy here: > > https://github.com/numpy/numpy/pull/76 > > I get the same results (no leaks) running your wx, tk and agg scripts > (with the Windows-specific stuff removed). > > FWIW, I have wxPython 2.8.11.0 and Tkinter rev 81008. > > So the variables are the platform and the version of Python. Perhaps > it's one of those two things? > > Mike
Consider the following: matplotlib 1.0.1, numpy 1.5.1, python 2.7.1, wxPython 2.8.11.0, Windows XP SP3 - 1 hour - Plotted 3601 times, about 1Hz - Memory usage increased by about 1.16MB (41.39 - 40.23), or about 0.33K per redraw It seems the same memory leak exists. Given you don't have this issue on Linux with the same Python configuration, I can only assume it is related to some Windows specific code somewhere. I'll run for a longer period of time just in case, but I don't expect the results to be different. ------------------------------------------------------------------------------ Benefiting from Server Virtualization: Beyond Initial Workload Consolidation -- Increasing the use of server virtualization is a top priority.Virtualization can reduce costs, simplify management, and improve application availability and disaster protection. Learn more about boosting the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users