On Sat, 24 Mar 2007, Travis Oliphant apparently wrote: > I'd be fine with an error raised on matrix multiplication > (as long as dot is not changed). In other words, I'd > like to see 1-d arrays always interpreted the same way (as > row vectors) when used in matrix multiplication.
My preference would be for matrix multiplication with 1d arrays to always raise an error. Anything else is too "implicit". As a second choice, having them always interpreted as a specific kind of vector (either row or colum, as long as its *always* the same) is equivalent to me. But shouldn't there be a clear justification of such implicit conversion? Is it really so useful? Cheers, Alan _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
