On Sat, Jul 1, 2017 at 3:31 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > Hi All, > > The '@' operator works well with stacks of matrices, but not with stacks of > vectors. Given the recent addition of '__array_ufunc__', and the intent to > make `__matmul__` use a ufunc, I've been wondering is it would make sense to > add ndarray subclasses 'rvec' and 'cvec' that would override that operator > so as to behave like stacks of row/column vectors. Any other ideas for the > solution to stacked vectors are welcome.
I feel like the lesson of np.matrix is that subclassing ndarray to change the meaning of basic operators creates more problems than it solves? Some alternatives include: - if you specifically want a stack of row vectors or column vectors, insert a new axis at position -1 or -2 - if you want a stack of 1d vectors that automatically act as rows on the left of @ and columns on the right, then we could have vecvec, matvec, vecmat gufuncs that do that -- which isn't quite as terse as @, but not everything can be and at least it'd be explicit what was going on. -n -- Nathaniel J. Smith -- https://vorpus.org _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
