Python: Differentiating between row and column vectors

Question

Is there a good way of differentiating between row and column vectors in python? So far I\'m using numpy and scipy and what I see so far is that If I was to give one a vecto

Answer 1

I think you can use ndmin option of numpy.array. Keeping it to 2 says that it will be a (4,1) and transpose will be (1,4).

>>> a = np.array([12, 3, 4, 5], ndmin=2)
>>> print a.shape
>>> (1,4)
>>> print a.T.shape
>>> (4,1)