Keep also in mind that numpy is quite different from Matlab. In Matlab every vaiable is a matrix of at least 2 dimensions.
This is not the case of numpy (and is not the case in Fortran too). every array can have a different number of dimensions. The transposition of an array with just 1 dimension is not really meaningful. On the other hand most of the time is not needed. For example le have a matrix: a = np.array([[1,2],[1,1]]) and an array: b = np.array([0.1,0.2]) You can left multiply or right multiply it to this matrix without any need to transpose it (as you have to do in Matlab): a @ b array([0.5,0.3]) b @ a array([0.3,0.4]) Cheers, -- https://mail.python.org/mailman/listinfo/python-list
