# numpy.ma.diagflat

ma.diagflat = <numpy.ma.extras._fromnxfunction_single object>

  diagflat

  Create a two-dimensional array with the flattened input as a diagonal.

  Parameters:
    v array_like

      Input data, which is flattened and set as the k-th diagonal of the output.

    k int, optional

      Diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.

  Returns:
    out ndarray

      The 2-D output array.

  See also

  `diag`

    MATLAB work-alike for 1-D and 2-D arrays.

  `diagonal`

    Return specified diagonals.

  `trace`

    Sum along diagonals.

  Notes

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

  Examples

      >>> np.diagflat([[1,2], [3,4]])
      array([[1, 0, 0, 0],
             [0, 2, 0, 0],
             [0, 0, 3, 0],
             [0, 0, 0, 4]])

      >>> np.diagflat([1,2], 1)
      array([[0, 1, 0],
             [0, 0, 2],
             [0, 0, 0]])