atleast_1d(*args, **kwargs)
Scalar inputs are converted to 1-dimensional arrays, whilst higher-dimensional inputs are preserved.
The function is applied to both the _data and the _mask, if any.
One or more input arrays.
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.
>>> 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 :
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