nums.numpy.atleast_2d

nums.numpy.atleast_2d(*arys)[source]

View inputs as arrays with at least two dimensions.

This docstring was copied from numpy.atleast_2d.

Some inconsistencies with the NumS version may exist.

Parameters

arys1 (BlockArray) – One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.
arys2 (BlockArray) – One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.
.. (BlockArray) – 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

BlockArray

See also

atleast_1d, atleast_3d

Examples

The doctests shown below are copied from NumPy. They won’t show the correct result until you operate get().

>>> nps.atleast_2d(3.0).get()  
array([[3.]])

>>> x = nps.arange(3.0)  
>>> nps.atleast_2d(x).get()  
array([[0., 1., 2.]])

>>> [a.get() for a in nps.atleast_2d(1, [1, 2], [[1, 3]])]  
[array([[1]]), array([[1, 2]]), array([[1, 2]])]

nums.numpy.atleast_1d

nums.numpy.atleast_3d