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