Charles R Harris wrote: > > > The rule 1-d is always a *row* vector only applies when converting > to a > matrix. > > In this case, the dot operator does not "convert to a matrix" but > uses > rules for operating with mixed 2-d and 1-d arrays inherited from > Numeric. > > I'm very hesitant to change those rules. > > > I wasn't suggesting that, just noticing that the rule was 1-d vector > on right is treated as a column vector by dot, which is why an > exception was raised in the posted case. If it is traditional for > matrix routines always treat is as a row vector, so be it.
O.K. So, the problem is that when I defined matrix multiplication, I mistakenly believed that dot always interpreted 1-d arrays as row vectors which it is now clear it doesn't. I think this led to the issues. So, making dot always return arrays seems like the needed fix. -Travis _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
