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bundles / numpy 2.4.4 / numpy / atleast_2d

_ArrayFunctionDispatcher

numpy:atleast_2d

source: /numpy/_core/shape_base.py:78

Signature

def atleast_2d(*arys)

Summary

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.

Examples

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]]))

See also

atleast_1d
atleast_3d

Aliases

  • numpy.atleast_2d