[Numpy-discussion] efficient use of numpy.where() and .any()
Mon Apr 23 11:23:49 CDT 2007
> Pierre GM wrote:
>> a[a<0] = numpy.random.normal(0,1)
> This is a neat construct that I didn't realize was possible. However,
> it has the undesirable (in my case) effect of placing a single new
> random number in each locations where a<0. While this could work, I
> ideally need a different random number chosen for each replaced value.
> Does that make sense?
Certainly. How about this?
mask = (a<0)
a[mask] = numpy.random.normal(0, 1, size=mask.sum())
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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