Gael Varoquaux wrote: > * to use a syntax similar to dictionnaries: > > for row in A.rows(): > for col in row.cols() > > I actually think this is much better than the code you currently use, > > * or implement row and column objects. > > The problem in your code is that you do not distinguish iterating over > rows and columns, and in linear algebra these are different objects. The > two solutions I propose do this distinction. My favorite one is the first > one (the rows and cols methods).
What would rows() and columns() return? I'd like them to return a vector object. If they return matrices, then you can't index them with a single value, if they return 1-d arrays, then you can't distinguish between rows and columns (which may be OK). Travis E. Oliphant wrote: > I'm not personally persuaded by the iteration argument, because we can > change iteration independently of mapping (__getitem__) access. or just use: for row in M.A: ... How hard is that? -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
