I think we need to do something about the 1D case. I know from a strict mathematical standpoint it doesn't do anything, and philosophically we should avoid special cases, but I think the current solution leads to enough confusion and silently doing an unexpected thing that I think we need a better approach.
Personally I think it is a nonsensical operation and so should result in an exception, but at the very least I think it needs to raise a warning. On Mon, Jun 24, 2019, 09:54 Hameer Abbasi <einstein.edi...@gmail.com> wrote: > Hello Marten, > > I was suggesting not changing the shape at all, since dot/matmul/solve do > the right thing already in such a case. > > In my proposal, only for ndim >=2 do we switch the last two dimensions. > > Ilhan is right that adding a special case for ndim=1 (error) adds > programmer overhead, which is against the general philosophy of NumPy I > feel. > > Get Outlook for iOS <https://aka.ms/o0ukef> > > ------------------------------ > *From:* NumPy-Discussion <numpy-discussion-bounces+einstein.edison= > gmail....@python.org> on behalf of Marten van Kerkwijk < > m.h.vankerkw...@gmail.com> > *Sent:* Monday, June 24, 2019 3:24 PM > *To:* Discussion of Numerical Python > *Subject:* Re: [Numpy-discussion] Syntax Improvement for Array Transpose > > Dear Hameer, Ilhan, > > Just to be sure: for a 1-d array, you'd both consider `.T` giving a shape > of `(n, 1)` the right behaviour? I.e., it should still change from what it > is now - which is to leave the shape at `(n,)`. > > Your argument about `dot` and `matmul` having similar behaviour certainly > adds weight (but then, as I wrote before, my opinion on this changes by the > second, so I'm very happy to defer to others who have a clearer sense of > what is the right thing to do here!). > > I think my main worry now is how to get to be able to use a new state > without having to wait 4..6 releases... > > All the best, > > Marten > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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