Views 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.
- res1, res2, ...ndarray
An array, or list of arrays, each with
ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.
>>> import nlcpy as vp >>> vp.atleast_2d(3.0) array([[3.]])
>>> x = vp.arange(3.0) >>> vp.atleast_2d(x) array([[0., 1., 2.]]) >>> vp.atleast_2d(x).base is x True
>>> vp.atleast_2d(1, [1, 2], [[1, 2]]) [array([]), array([[1, 2]]), array([[1, 2]])]