View inputs as arrays with at least two dimensions.
One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.
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.
Examples
>>> import numpy as np >>> 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([[1]]), array([[1, 2]]), array([[1, 2]]))
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