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# 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 : ndarray Indices of elements that are non-zero. Indices are grouped by element.

  See also

  `where`, `nonzero`

  Notes

  `np.argwhere(a)` is the same as `np.transpose(np.nonzero(a))`.

  The output of `argwhere` is not suitable for indexing arrays. For this purpose use `where(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]])

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