numpy.atleast_1d#

numpy.atleast_1d(*arys)[source]#

Convert inputs to arrays with at least one dimension.

Scalar inputs are converted to 1-dimensional arrays, whilst higher-dimensional inputs are preserved.

Parameters:

arys1, arys2, array_like

One or more input arrays.

Returns:

retndarray

An array, or tuple of arrays, each with a.ndim >= 1. Copies are made only if necessary.

See also

atleast_2d, atleast_3d

Examples

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>>> import numpy as np
>>> np.atleast_1d(1.0)
array([1.])

>>> x = np.arange(9.0).reshape(3,3)
>>> np.atleast_1d(x)
array([[0., 1., 2.],
       [3., 4., 5.],
       [6., 7., 8.]])
>>> np.atleast_1d(x) is x
True

>>> np.atleast_1d(1, [3, 4])
(array([1]), array([3, 4]))

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