> I think that might be the simplest thing, dot overrides subtypes. BTW, > here is another ambiguity > > In [6]: dot(array([[1]]),ones(2)) > --------------------------------------------------------------------------- > exceptions.ValueError Traceback (most > recent call last) > > /home/charris/<ipython console> > > ValueError: matrices are not aligned > > Note that in this case dot acts like the rhs is always a column vector > although it returns a 1-d vector. I don't know that this is a bad > thing, but perhaps we should extend this behaviour to matrices, which > would be different from the now current 1-d is always a *row* vector, i.e.
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. -Travis _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
