# numpy.argwhere

numpy.argwhere(a)

  Find the indices of array elements that are non-zero, grouped by element.

  Parameters:
    a array_like

      Input data.

  Returns:
    index_array(N, a.ndim) ndarray

      Indices of elements that are non-zero. Indices are grouped by element. This array will have shape `(N, a.ndim)` where `N` is the number of non-zero items.

  See also

  `where`, `nonzero`

  Notes

  `np.argwhere(a)` is almost the same as `np.transpose(np.nonzero(a))`, but produces a result of the correct shape for a 0D array.

  The output of `argwhere` is not suitable for indexing arrays. For this purpose use `nonzero(a)` instead.

  Examples

      >>> x = np.arange(6).reshape(2,3)
      >>> x
      array([[0, 1, 2],
             [3, 4, 5]])
      >>> np.argwhere(x>1)
      array([[0, 2],
             [1, 0],
             [1, 1],
             [1, 2]])