numpy.ma.atleast_1d#

ma.atleast_1d(*args, **kwargs) = <numpy.ma.extras._fromnxfunction_allargs object>#

Convert inputs to arrays with at least one dimension.

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

Parameters

arys1, arys2, …array_like: One or more input arrays.

Returns

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

See also

atleast_2d, atleast_3d

Notes

The function is applied to both the _data and the _mask, if any.

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(x) is x
True

>>> np.atleast_1d(1, [3, 4])
[array([1]), array([3, 4])]

numpy.ma.transpose

numpy.ma.atleast_2d