[Numpy-discussion] {zeros, empty, ...}_like functions behavior with subclasses
Bruce Southey
bsouthey at gmail.com
Mon Feb 28 19:05:06 EST 2011
On Mon, Feb 28, 2011 at 4:52 PM, Wes McKinney <wesmckinn at gmail.com> wrote:
> I'm having some trouble with the zeros_like function via np.fix:
>
> def zeros_like(a):
> if isinstance(a, ndarray):
> res = ndarray.__new__(type(a), a.shape, a.dtype, order=a.flags.fnc)
> res.fill(0)
> return res
> try:
> wrap = a.__array_wrap__
> except AttributeError:
> wrap = None
> a = asarray(a)
> res = zeros(a.shape, a.dtype)
> if wrap:
> res = wrap(res)
> return res
>
> As you can see this is going to discard any metadata stored in a
> subtype. I'm not sure whether this is a bug or a feature but wanted to
> bring it up.
>
> Thanks,
> Wes
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I guess this is ticket 929.
http://projects.scipy.org/numpy/ticket/929
I was looking at it today but was not sure what is really desired
here. I considered that this just meant shape and dtype but not sure
about masked or record arrays behavior. So:
What is the value of having the metadata?
What is the meaning of 'like' here?
Bruce
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