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
>>> 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]]))