On Sun, Feb 14, 2016 at 11:41 PM, Antony Lee <antony....@berkeley.edu> wrote: > I wonder whether numpy is using the "old" iteration protocol (repeatedly > calling x[i] for increasing i until StopIteration is reached?) A quick > timing shows that it is indeed slower.
Yeah, I'm pretty sure that np.array doesn't know anything about "iterable", just about "sequence" (calling x[i] for 0 <= i < i.__len__()). (See Sequence vs Iterable: https://docs.python.org/3/library/collections.abc.html) Personally I'd like it if we could eventually make it so np.array specifically looks for lists and only lists, because the way it has so many different fallbacks right now creates all confusion between which objects are elements. Compare: In [5]: np.array([(1, 2), (3, 4)]).shape Out[5]: (2, 2) In [6]: np.array([(1, 2), (3, 4)], dtype="i4,i4").shape Out[6]: (2,) -n -- Nathaniel J. Smith -- https://vorpus.org _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
