`numpy.ma.extras:atleast_2d`

Signature

def atleast_2d(*arys)

View inputs as arrays with at least two dimensions.

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.

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.

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

import numpy as np
np.atleast_2d(3.0)

✓

array([[3.]])

x = np.arange(3.0)
np.atleast_2d(x)
np.atleast_2d(x).base is x

✓

True

np.atleast_2d(1, [1, 2], [[1, 2]])

✓

(array([[1]]), array([[1, 2]]), array([[1, 2]]))