atleast_2d(*arys)

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.

View inputs as arrays with at least two dimensions.

See Also

atleast_1d

atleast_3d

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]])]

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.interpolate._fitpack2.RectSphereBivariateSpline numpy.ma.extras.atleast_3d dask.array.routines.atleast_2d numpy.block numpy.atleast_3d numpy.expand_dims numpy.ma.extras.atleast_1d numpy.atleast_1d

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