I think the use of the term 'vector' in this thread is becoming a bit confusing.
An M by N matrix is a vector. (I.e., it is an element of a vector space.) Many people use the terms "row vector" and "column vector" to refer to special matrices. What is special is *not* that they are vectors (since all matrices are) but that they are a single row or a single column. Perhaps better terminology would have been "row matrix" and "column matrix". Using this terminology, we clearly expect a row matrix and a column matrix to have transposes. The question is, can their elements be indexed by scalars. The answer in all the proposals, I believe, is "yes". I believe we are finding that this answer has some problems. x is a 2 by 2 matrix x[0] is a 1 by 2 matrix x[0][0] is x[0,0] GOOD!! y = x[0] -> y is a 1 by 2 matrix y[0][0] is a TypeError BAD!! So I am becoming more and more persuaded that for a matrix ``x``: x[0] should be a 1d array (always!) x[0,:] should be a matrix The rule: use non-scalar indexing to extract submatrices fwiw, Alan Isaac _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion