I too buy into axis=0 being the better default here for broadcasting reasons. Having it possible to specify explicitly would be handy though, for something like: x_ramped = np.linspace(x.min(axis=2), x.max(axis=2), 100, axis=2) On Wed, 14 Nov 2018 at 15:20 Stephan Hoyer <shoyer@gmail.com> wrote:
On Wed, Nov 14, 2018 at 3:16 PM Marten van Kerkwijk < m.h.vankerkwijk@gmail.com> wrote:
I see the logic in having the linear space be last, but one non-negligible advantage of the default being the first axis is that whatever is produced broadcasts properly against start and stop. -- Marten
Yes, this is exactly why I needed to insert the new axis at the start.
That said, either default axis position is fine by me as long as we have the explicit option. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion