On 07/16/2010 01:32 AM, K.-Michael Aye wrote: > On 2010-07-14 19:11:58 +0200, K.-Michael Aye said: > >> On 2010-07-14 18:51:26 +0200, K.-Michael Aye said: >> >>> On 2010-07-14 18:45:35 +0200, John Hunter said: >>> >>>> On Wed, Jul 14, 2010 at 11:38 AM, K.-Michael Aye >>>> <kmichael....@gmail.com> wrote: >>>> >>>>> Out[12]: 1 >>>>> >>>>> In [13]: gc.collect() >>>>> >>>>> Out[13]: 12 >>>> >>>> >>>> still not seeing a leak in your data -- you need to report_memory >>>> after calling gc collect. Turn off hold, add an image, call collect, >>>> report memory, the repeat several times, each time calling collect and >>>> report memory, and report the results. >>> >>> Was just following your example, you were nowhere calling collect. >>> Here is what you requested: >>> >>> In [1]: import gc >>> >>> In [2]: import matplotlib.cbook as cbook >>> >>> In [3]: data = ones((1500,1500,3)) >>> >>> In [4]: hold(False) >>> >>> In [5]: imshow(data) >>> >>> Out[5]:<matplotlib.image.AxesImage object at 0x1c43e50> >>> >>> In [6]: gc.collect() >>> >>> Out[6]: 12 >>> >>> In [7]: cbook.report_memory() >>> >>> Out[7]: 174540 >>> >>> In [8]: imshow(data) >>> >>> Out[8]:<matplotlib.image.AxesImage object at 0x1c59e90> >>> >>> In [9]: gc.collect() >>> >>> Out[9]: 0 >>> >>> In [10]: cbook.report_memory() >>> >>> Out[10]: 253400 >>> >>> In [11]: imshow(data) >>> >>> Out[11]:<matplotlib.image.AxesImage object at 0x1c603b0> >>> >>> In [12]: gc.collect() >>> >>> Out[12]: 0 >>> >>> In [13]: cbook.report_memory() >>> >>> Out[13]: 333360 >>> >>> In [14]: imshow(data) >>> >>> Out[14]:<matplotlib.image.AxesImage object at 0x1c60410> >>> >>> In [15]: gc.collect() >>> >>> Out[15]: 0 >>> >>> In [16]: cbook.report_memory() >>> >>> Out[16]: 413296 >>> >> >> >> Here are the commands as macro form, for easy cut and paste into pylab: >> >> import gc >> import matplotlib.cbook as cbook >> data = ones((1500,1500,3)) >> hold(False) >> imshow(data) >> gc.collect() >> cbook.report_memory() >> imshow(data) >> gc.collect() >> cbook.report_memory() >> imshow(data) >> gc.collect() >> cbook.report_memory() >> imshow(data) >> gc.collect() >> cbook.report_memory() > > Furthermore, > deleting images from ax.images does not free memory :
Maybe because ipython is keeping a reference to every AxesImage object that you make... Eric > > In [1]: import gc > > In [2]: import matplotlib.cbook as cbook > > In [3]: data = ones((1500,1500,3)) > > In [4]: imshow data > ------> imshow(data) > > Out[4]:<matplotlib.image.AxesImage object at 0x1c57550> > > In [5]: imshow data > ------> imshow(data) > > Out[5]:<matplotlib.image.AxesImage object at 0x1c442b0> > > In [6]: imshow data > ------> imshow(data) > > Out[6]:<matplotlib.image.AxesImage object at 0x1400cd0> > > In [7]: imshow data > ------> imshow(data) > > Out[7]:<matplotlib.image.AxesImage object at 0x1414cb0> > > In [8]: ax =gca() > > In [9]: ax.images > > Out[9]: > [<matplotlib.image.AxesImage object at 0x1c57550>, > <matplotlib.image.AxesImage object at 0x1c442b0>, > <matplotlib.image.AxesImage object at 0x1400cd0>, > <matplotlib.image.AxesImage object at 0x1414cb0>] > > In [10]: gc.collect() > > Out[10]: 15 > > In [11]: cbook.report_memory() > > Out[11]: 414588 > > In [12]: del ax.images[:-1] > > In [13]: gc.collect() > > Out[13]: 3 > > In [14]: cbook.report_memory() > > Out[14]: 414600 > ------------------------------------------------------------------------------ This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
