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# numpy.ma.argmin

`numpy.ma.``argmin`(a, axis=None, fill_value=None)

  Returns array of indices of the maximum values along the given axis. Masked values are treated as if they had the value fill_value.

  Parameters : | axis : {None, integer} If None, the index is into the flattened array, otherwise along the specified axis fill_value : {var}, optional Value used to fill in the masked values. If None, the output of maximum_fill_value(self._data) is used instead. out : {None, array}, optional Array into which the result can be placed. Its type is preserved and it must be of the right shape to hold the output.
  Returns : | index_array : {integer_array}

  Examples

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