mxnet.np.atleast_1d

atleast_1d(*arys)

Convert inputs to arrays with at least one dimension.

Scalar inputs are converted to 1-dimensional arrays, whilst higher-dimensional inputs are preserved.

Parameters

arys2, .. (arys1,) – One or more input arrays.

Returns

ret – An array, or list of arrays, each with a.ndim >= 1. Copies are made only if necessary.

Return type

ndarray

See also

atleast_2d(), atleast_3d()

Examples

>>> np.atleast_1d(1.0)
array([1.])
>>> x = np.arange(9.0).reshape(3,3)
>>> np.atleast_1d(x)
array([[0., 1., 2.],
       [3., 4., 5.],
       [6., 7., 8.]])
>>> np.atleast_1d(np.array(1), np.array([3, 4]))
[array([1.]), array([3., 4.])]