Here is a simple version that I use. It uses the Taylor
expansion when the argument is near zero. Note that this
is using Numeric and umath right now. This should be
trivial to change to new scipy_core (which I am not using yet):
def sinc(xs):
"""
sinc(xs):
Return the sinc function [i.e. sin(pi * xs)/(pi * xs)]
for the values xs.
"""
pxs = umath.pi*xs
return Numeric.where(umath.fabs(pxs)<1e-3,
1.0-pxs*pxs/6.0, umath.sin(pxs)/pxs)
Scott
On Monday 12 December 2005 12:39 pm, Arnd Baecker wrote:
> On Mon, 12 Dec 2005, Sebastian Haase wrote:
> > Hi,
> > I was trying to implement a "sinc" [sin(x)/x] in numarray. But the
> > "where"-semantics makes it choke on the x=0: 0/0 case.
> > (This should of course work for x being an array - so "if" is no
> > option) The best I could come up with was:
> >
> > def sinc(r):
> > na.Error.pushMode(all="ignore")
> > a = na.where(r, na.divide(na.sin(r),r), 1)
> > na.Error.popMode()
> > return a
> >
> > but I still seem to get a warning...
> >
> > >>> F.sinc(0)
> >
> > Warning: Encountered invalid numeric result(s) in divide
> > 1.0
> >
> > What is a better way of doing this ?
>
> Yuo could try to use `vectorize` (warning: untested code)
>
> def sinc(x):
> if x==0.0: # presumably better to check for small
> x return 0.0 # here ...
> else:
> return sin(x)/x
>
> sinc_vectorized=scipy.vectorize(sinc)
>
> HTH,
>
> Arnd
>
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Scott M. Ransom Address: NRAO
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