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# numpy.argmax

`numpy.``argmax`(a, axis=None)

  Indices of the maximum values along an axis.

  Parameters : | a : array_like Input array. axis : int, optional By default, the index is into the flattened array, otherwise along the specified axis.
  Returns : | index_array : ndarray of ints Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed.

  See also

  `ndarray.argmax`, `argmin`

  `amax`
    The maximum value along a given axis.
  `unravel_index`
    Convert a flat index into an index tuple.

  Notes

  In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned.

  Examples

      >>> a = np.arange(6).reshape(2,3)
      >>> a
      array([[0, 1, 2],
             [3, 4, 5]])
      >>> np.argmax(a)
      5
      >>> np.argmax(a, axis=0)
      array([1, 1, 1])
      >>> np.argmax(a, axis=1)
      array([2, 2])

      >>> b = np.arange(6)
      >>> b[1] = 5
      >>> b
      array([0, 5, 2, 3, 4, 5])
      >>> np.argmax(b) # Only the first occurrence is returned.
      1

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