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# numpy.atleast_2d

`numpy.``atleast_2d`(*arys)

  View inputs as arrays with at least two dimensions.

  Parameters: | array1, array2, ... : array_like One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.
  Returns: | res, res2, ... : ndarray An array, or tuple of arrays, each with `a.ndim >= 2`. Copies are avoided where possible, and views with two or more dimensions are returned.

  See also

  `atleast_1d`, `atleast_3d`

  Examples

      >>> numpy.atleast_2d(3.0)
      array([[ 3.]])

      >>> x = numpy.arange(3.0)
      >>> numpy.atleast_2d(x)
      array([[ 0.,  1.,  2.]])
      >>> numpy.atleast_2d(x).base is x
      True

      >>> np.atleast_2d(1, [1, 2], [[1, 2]])
      [array([[1]]), array([[1, 2]]), array([[1, 2]])]

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