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:	ret : ndarray An array, or list of arrays, each witha.ndim>=1.Copies are made only if necessary.

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)isxTrue

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