[Numpy-discussion] Generically Creating Intermediate Data Compatible with Either ndarray or MasledArray Types
Tue Mar 11 15:21:07 CDT 2008
On Tue, Mar 11, 2008 at 2:10 PM, Alexander Michael <firstname.lastname@example.org> wrote:
> I have a function that I would like to work with both MaskedArray's
> and ndarray's. The only blocker for this particular function is the
> need to create some stand-in data that is appropriately either a
> MaskedArray or an ndarray. Currently I have:
> dummy = numpy.ones(data.shape, dtype=bool)
> where data has a dtype of float. I've already discovered that
> numpy.ones_like "does the right thing", but how do I do the equivalent
> in conjunction with declaring a new dtype?
> Said another way, how can a create arrays of the same class and
> (possibly) shape as an existing array, but with a different dtype?
dummy = numpy.ones(data.shape, dtype=bool).view(type(data))
"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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