How is this different from using np.newaxis and broadcasting? Or am I misunderstanding this?
Ben Root On Tue, Nov 24, 2015 at 9:13 PM, <josef.p...@gmail.com> wrote: > > > On Tue, Nov 24, 2015 at 7:13 PM, Nathaniel Smith <n...@pobox.com> wrote: > >> On Nov 24, 2015 11:57 AM, "John Kirkham" <jakirk...@gmail.com> wrote: >> > >> > Takes an array and tacks on arbitrary dimensions on either side, which >> is returned as a view always. Here are the relevant features: >> > >> > * Creates a view of the array that has the dimensions before and after >> tacked on to it. >> > * Takes the before and after arguments independent of each other and >> the current shape. >> > * Allows for read and write access to the underlying array. >> >> Can you expand this with some discussion of why you want this function, >> and why you chose these specific features? (E.g. as mentioned in the PR >> comments already, the reason broadcast_to returns a read-only array is that >> it was decided that this was less confusing for users, not because of any >> technical issue.) >> > > Why is this a stride_trick? > > I thought this looks similar to expand_dims and could maybe be implemented > with some extra options there. > > > > Josef > > > >> -n >> >> _______________________________________________ >> 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 > >
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