numpy.atleast_2d — NumPy v1.13 Manual (original) (raw)
numpy. atleast_2d(*arys)[source]¶
View inputs as arrays with at least two dimensions.
| Parameters: | 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. |
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| Returns: | res, res2, ... : ndarray 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. |
Examples
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]])]