atleast_2d(*args, **kwargs)
The function is applied to both the _data and the _mask, if any.
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 list of arrays, each with a.ndim >= 2
. Copies are avoided where possible, and views with two or more dimensions are returned.
View inputs as arrays with at least two dimensions.
>>> 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]])]See :
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