xorbits.numpy.atleast_2d#

xorbits.numpy.atleast_2d(*tensors)[source]#

View inputs as arrays with at least two dimensions.

Parameters

arys1 (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.
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.
... (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.

Returns

res, res2, … – 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.

Return type

ndarray

See also

atleast_1d, atleast_3d

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]])]

This docstring was copied from numpy.