2010/8/27 Brett Olsen <brett.ol...@gmail.com>:
> If there's multiple possible valid values, I've come up with a couple
> possible methods, but they all seem to be inefficient or kludges:
>>>> valid = N.array(("a", "c"))
>>>> (ar == valid[0]) | (ar == valid[1])
> array([ True, False, True, False, False, True, False, True, True],
> dtype=bool)
>>>> N.array(map(lambda x: x in valid, ar))
> array([ True, False, True, False, False, True, False, True, True],
> dtype=bool)
(ar[..., numpy.newaxis] == valid).T.sum(axis=0).T > 0
should also do the job. But it eats up memory. (It employs broadcasting.)
Friedrich
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