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# numpy.ma.atleast_2d

`numpy.ma.``atleast_2d`(*arys) = <numpy.ma.extras._fromnxfunction_allargs instance>

  > View inputs as arrays with at least two dimensions.

  Parameters: | arys1, arys2, ... : 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 list of arrays, each with `a.ndim >= 2`. Copies are avoided where possible, and views with two or more dimensions are returned.

  Notes

  The function is applied to both the _data and the _mask, if any.

  Examples

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

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

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