Bruce Southey wrote: > The ability to treat vectors as matrices would be sufficient for my > needs because these are almost always used in the context of > vector-matrix multiplication. There is no additional benefit from > having row or column shapes or metadata because the row/column nature > is usually predetermined and would be represented by the shape of the > corresponding matrix.
The benefit is that they can be indexed with a scalar and converted to a 1-d array with r.A, and no reshaping. Also that indexing a matrix reduces its rank, which is expected in a lot of places. > It really would be annoying to find that for an > n by 1 vector/matrix, the product of X.T*X is a scalar or an error > rather than an n by n matrix. yes, it would, which is the whole point of the matrix object in the first place, and the point of the proposed row/column objects. They would provide 1-d object that behave as row an column vectors with * and **. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
