numpy.ma.atleast_2d#

ma.atleast_2d = <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 tuple of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.

See also

Notes

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

Examples

>>> import numpy as np
>>> 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]]))