Is there a good way of differentiating between row and column vectors in numpy? If I was to give one a vector, say:
from numpy import *v = array([1,2,3])they wouldn't be able to say weather I mean a row or a column vector. Moreover:
>>> array([1,2,3]) == array([1,2,3]).transpose()array([ True, True, True])Which compares the vectors element-wise.
I realize that most of the functions on vectors from the mentioned modules don't need the differentiation. For example outer(a,b) or a.dot(b) but I'd like to differentiate for my own convenience.