The repository is now on github, so if you want the very latest, you
should get it from here:
https://github.com/matplotlib/matplotlib
(We haven't done a terribly good job of advertising that change).
I'm not seeing any leak myself with your script with matplotlib HEAD
plus this pull request:
https://github.com/matplotlib/matplotlib/pull/89
so we may be getting to the bottom of this type of leak.
Mike
On 04/20/2011 05:18 PM, Oren Gampel wrote:
I have now tested this with version 1.1.0svn from the trunk of the dev
repository. I believe this version contains Michael Droettboo's patch
for pyCXX. (
https://sourceforge.net/tracker/index.php?func=detail&aid=3115633&group_id=3180&atid=103180
<https://sourceforge.net/tracker/index.php?func=detail&aid=3115633&group_id=3180&atid=103180>
)
Unfortunately the leak is still evident in the small script I've
attached. Again, please note that this script has no axes, plots, or
drawn components, only an empty canvas that is being redrawn and
causes the memory growth.
Any ideas how to resolve this or further debug this?
Thanks for your help,
Oren
On Mon, Apr 11, 2011 at 6:37 PM, Oren Gampel <o...@futuretech.co.il
<mailto:o...@futuretech.co.il>> wrote:
I'm having a memory leakage using matplotlib 1.0.1 with wx
2.8.11.0, on windows XP.
To reproduce, I used the sample from here:
http://matplotlib.sourceforge.net/examples/animation/dynamic_image_wxagg2.html
and deleted most of the significant lines (see below). I only
create a canvas but I don't create any axes, nor plot any data.
The only thing I do is draw() on a timer event. This makes my
process grow about 6Mbyte per minute.
Is this reproduced in other environments? Any ideas on how to
resolve this?
Thanks,
Oren
"""
Copyright (C) 2003-2005 Jeremy O'Donoghue and others
License: This work is licensed under the PSF. A copy should be
included
with this source code, and is also available at
http://www.python.org/psf/license.html
"""
import sys, time, os, gc
import matplotlib
matplotlib.use('WXAgg')
from matplotlib import rcParams
import numpy as npy
import matplotlib.cm <http://matplotlib.cm> as cm
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
from wx import *
TIMER_ID = NewId()
class PlotFigure(Frame):
def __init__(self):
Frame.__init__(self, None, -1, "Test embedded wxFigure")
self.fig = Figure((1,1), 50, facecolor='.95')
self.canvas = FigureCanvasWxAgg(self, -1, self.fig)
# Now put all into a sizer
sizer = wx.BoxSizer(wx.VERTICAL)
# This way of adding to sizer allows resizing
sizer.Add(self.canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
self.SetSizer(sizer)
self.Fit()
self._price_ax = self.fig.add_subplot(111)
wx.EVT_TIMER(self, TIMER_ID, self.onTimer)
self.t = wx.Timer(self, TIMER_ID)
self.t.Start(1000)
def onTimer(self, evt):
self.canvas.draw()
if __name__ == '__main__':
app = PySimpleApp()
frame = PlotFigure()
# Initialise the timer - wxPython requires this to be connected to
# the receiving event handler
t = Timer(frame, TIMER_ID)
t.Start(100)
frame.Show()
app.MainLoop()
------------------------------------------------------------------------------
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--
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA
------------------------------------------------------------------------------
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Consolidation -- Increasing the use of server virtualization is a top
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the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev
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