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 <sho...@gmail.com> wrote: > On Wed, Nov 14, 2018 at 3:16 PM Marten van Kerkwijk < > m.h.vankerkw...@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 >
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