I think I may have misunderstood something here... But here goes.
I'm using the psd method in matplotlib inside a loop, I'm not making it plot anything, I just want the numerical result, so:
import pylab as pyl
...
psdResults = pyl.psd(inputData, NFFT=512, Fs=sampleRate, window=blackman)
But that's being looped 36 times every time I run the function it's in.
I'm getting a slow memory leak when I run my program over time, so used 'heapy' to monitor this, and every time I run the function, it adds 36 to these 3 heaps:
dict matplotlib.line.Line26
dict matplotlib.transforms.CompositeAffine2D
dict matplotlib.path.Path
I can only conclude that each time I use the psd method it merely adds it to some dictionary somewhere, whereas I want to effectively wipe the memory - i.e. reset pylab each loop so it doesn't store anything.
I could be misinterpreting heapy but it seems pretty clear that pylab is just growing each loop even though I only want to use it's psd m开发者_开发知识库ethod, I don't want it saving the results anywhere itself !
Cheers
Try this:
from matplotlib import mlab
psdResults = mlab.psd(inputData, NFFT=512, Fs=sampleRate, window=blackman)
Does that improve the situation?
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