On 7 April 2016 at 11:17, Chris Barker <chris.bar...@noaa.gov> wrote: > np.col_vector(arr) > > which would be a synonym for np.reshape(arr, (-1,1)) > > would that make anyone happy?
I'm curious to see use cases where this doesn't solve the problem. The most common operations that I run into: colvec = lambda x: np.c_[x] x = np.array([1, 2, 3]) A = np.arange(9).reshape((3, 3)) 1) x @ x (equivalent to x @ colvec(x)) 2) A @ x (equivalent to A @ colvec(x), apart from the shape) 3) x @ A 4) x @ colvec(x) -- gives an error, but perhaps this should work and be equivalent to np.dot(colvec(x), rowvec(x)) ? If (4) were changed, 1D arrays would mostly* be interpreted as row vectors, and there would be no need for a rowvec function. And we already do that kind of magic for (2). Stéfan * not for special case (1) _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion