flopscope.numpy.atleast_2d
fnp.atleast_2d(*arys)[flopscope source][numpy source]
View inputs as arrays with at least two dimensions.
Adapted from NumPy docs np.atleast_2d
Cost
0
Flopscope Context
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.
Returns
- res, res2, ...:ndarray
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.
See also
Examples
>>> import flopscope.numpy as fnp
>>> flops.atleast_2d(3.0)
array([[3.]])>>> x = flops.arange(3.0)
>>> flops.atleast_2d(x)
array([[0., 1., 2.]])
>>> flops.atleast_2d(x).base is x
True>>> flops.atleast_2d(1, [1, 2], [[1, 2]])
(array([[1]]), array([[1, 2]]), array([[1, 2]]))