On 05/28/2010 09:18 AM, Pearu Peterson wrote:
> , say, every second and the experiment
> can last hours, I have tried two approaches:
> 1) clear axes and plot new experimental data - this is
> slow and takes too much cpu resources.
> 2) remove lines and plot new experimental data - this is
> fast enough but unfortunately there seems to be a memory
> leakage, the application runs out of memory.
>
Why don't you just update the exiting line with the new data, as shown
in the animation examples in
http://matplotlib.sourceforge.net/examples/animation/index.html ?
For example:
#
import numpy
from numpy.testing.utils import memusage
import matplotlib.pyplot as plt
x = range (1000)
fig = plt.figure()
axes1 = fig.add_subplot( 111 )
y = numpy.random.rand (len (x))
line = None
while 1:
if not line:
line, = axes1.plot(x, y, 'b', label='data')
else:
line.set_data(x,y)
fig.canvas.draw()
print memusage ()/(1024.0*1024.0),"MB", len (axes1.lines)
#eof
Regards,
João Silva
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