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atleast_1d(*arys)

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

ret : ndarray

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

Convert inputs to arrays with at least one dimension.

See Also

atleast_2d
atleast_3d

Examples

>>> 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])]
See :

Back References

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

numpy.ma.extras.atleast_2d numpy.ma.extras.atleast_3d dask.array.routines.atleast_1d numpy.block numpy.atleast_3d numpy.expand_dims numpy.atleast_2d

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GitHub : /numpy/core/shape_base.py#23
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