On Tue, Jan 31, 2012 at 9:18 AM, Robert Kern <robert.k...@gmail.com> wrote:
> On Tue, Jan 31, 2012 at 15:13, Benjamin Root <ben.r...@ou.edu> wrote:
>
> > Is np.all() using np.array() or np.asanyarray()? If the latter, I would
> > expect it to return a numpy array from a generator.
>
> Why would you expect that?
>
> [~/scratch]
> |37> np.asanyarray(i>5 for i in range(10))
> array(<generator object <genexpr> at 0xdc24a08>, dtype=object)
>
> --
> Robert Kern
>
What possible use-case could there be for a numpy array of generators?
Furthermore, from the documentation:
numpy.asanyarray = asanyarray(a, dtype=None, order=None, maskna=None,
ownmaskna=False)
Convert the input to an ndarray, but pass ndarray subclasses through.
Parameters
----------
a : array_like
*Input data, in any form that can be converted to an array*. This
includes scalars, lists, lists of tuples, tuples, tuples of tuples,
tuples of lists, and ndarrays.
Emphasis mine. A generator is an input that could be converted into an
array. (Setting aside the issue of non-terminating generators such as
those from cycle()).
Ben Root
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