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, whilsthigher-dimensional inputs are preserved.

Parameters:

arys1, arys2, …array_like

One or more input arrays.

Returns:

retndarray

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

See also

atleast_2d,atleast_3d

Examples

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>>>importnumpyasnp>>>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)isxTrue

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

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