View inputs as arrays with at least two dimensions.
arys1, arys2, ... : array_like
One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.
res, res2, ... : ndarray
An array, or tuple of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.
>>> np.atleast_2d(3.0) array([[ 3.]])
>>> x = np.arange(3.0) >>> np.atleast_2d(x) array([[ 0., 1., 2.]]) >>> np.atleast_2d(x).base is x True
>>> np.atleast_2d(1, [1, 2], [[1, 2]]) [array([]), array([[1, 2]]), array([[1, 2]])]