TBH, I wouldn't have expected it to work, but now that I see it, it does make some sense. I would have thought that it would error out as being ambiguous (prepend? append?). I have always used ellipses to make it explicit where the new axis should go. But, thinking in terms of how regular indexing works, I guess it isn't all that ambiguous.
Ben Root On Thu, Dec 31, 2015 at 11:56 AM, Joe Kington <joferking...@gmail.com> wrote: > Slicing with None adds a new dimension. It's a common paradigm, though > usually you'd use A[np.newaxis] or A[np.newaxis, ...] instead for > readibility. (np.newaxis is None, but it's a lot more readable) > > There's a good argument to be made that slicing with a single None > shouldn't add a new axis, and only the more readable forms like A[None, :], > A[..., None], etc should. > > However, that would rather seriously break backwards compatibility. > There's a fair amount of existing code that assumes "A[None]" prepends a > new axis. > > On Thu, Dec 31, 2015 at 10:36 AM, Neal Becker <ndbeck...@gmail.com> wrote: > >> Neal Becker wrote: >> >> > In my case, what it does is: >> > >> > A.shape = (5760,) >> > A[none] -> (1, 5760) >> > >> > In my case, use of none here is just a mistake. But why would you want >> > this to be accepted at all, and how should it be interpreted? >> >> Actually, in my particular case, if it just acted as a noop, returning the >> original array, that would have been perfect. No idea if that's a good >> result in general. >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
