On Nov 17, 2015 6:53 PM, "Sebastian Berg" <sebast...@sipsolutions.net> wrote: > > On Di, 2015-11-17 at 13:49 -0500, Neal Becker wrote: > > Robert Kern wrote: > > > > > On Tue, Nov 17, 2015 at 3:48 PM, Neal Becker <ndbeck...@gmail.com> wrote: > > >> > > >> I have an array of shape > > >> (7, 24, 2, 1024) > > >> > > >> I'd like an array of > > >> (7, 24, 2048) > > >> > > >> such that the elements on the last dimension are interleaving the > > >> elements from the 3rd dimension > > >> > > >> [0,0,0,0] -> [0,0,0] > > >> [0,0,1,0] -> [0,0,1] > > >> [0,0,0,1] -> [0,0,2] > > >> [0,0,1,1] -> [0,0,3] > > >> ... > > >> > > >> What might be the simplest way to do this? > > > > > > np.transpose(A, (-2, -1)).reshape(A.shape[:-2] + (-1,)) > > > > I get an error on that 1st transpose: > > > > Transpose needs a slightly different input. If you look at the help, it > should be clear. The help might also point to np.swapaxes, which may be > a bit more straight forward for this exact case.
Sorry about that. Was in a rush and working from a faulty memory.
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