numpy.ma.atleast_2d

numpy.ma.atleast_2d(*args, **kwargs) = <numpy.ma.extras._fromnxfunction_allargs object>

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 list of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.

Notes

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

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]])]