Profiling Python - Streaming Audio and spectrum

I'm trying to modify this example: https://svn.enthought.com/enthought/browser/Chaco/trunk/examples/advanced/spectrum.py. Unfortunately I have 开发者_Go百科not been able to get it to scale. If I double the sampling rate, the graph lags from the sound input. I'd like to find out which part of the code is the bottleneck. I tried to use cProfile but didn't investigate very far.

I wrote the original version of spectrum.py, and I believe that the bottleneck is in the drawing, in particular the spectrogram plot. If you change the code to not draw every time it computes an FFT, it should keep up better.