[SciPy-User] Boxcar smoothing of 1D data array...?

Sturla Molden sturla@molden...
Fri Jun 18 06:22:45 CDT 2010

Den 16.06.2010 02:26, skrev David Baddeley:
> Alternatively you could just use scipy.convolve with a tophat kernel 
> ie (for a filter of length N & signal y):
> scipy.convolve(y, ones(N)/N)
> see the docs for scipy.convolve for more info (you might want to 
> specify how it handles the ends, for example)

You should not use convolution for boxcar filtering. It can be solved 
using a recursive filter, basically

     y[n] = y[n-1] + x[n] - x[n-m]

then normalize y by 1/m.

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