On Tue, Jan 31, 2012 at 9:18 AM, Robert Kern <robert.kern@gmail.com> wrote:

On Tue, Jan 31, 2012 at 15:13, Benjamin Root <ben.root@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