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# numpy.ma.masked_array.argmin

`masked_array.``argmin`(axis=None, fill_value=None, out=None)

  Return array of indices to the minimum values along the given axis.

  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 minimum_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 : | {ndarray, scalar} : If multi-dimension input, returns a new ndarray of indices to the minimum values along the given axis. Otherwise, returns a scalar of index to the minimum values along the given axis.

  Examples

      >>> x = np.ma.array(arange(4), mask=[1,1,0,0])
      >>> x.shape = (2,2)
      >>> print x
      [[-- --]
       [2 3]]
      >>> print x.argmin(axis=0, fill_value=-1)
      [0 0]
      >>> print x.argmin(axis=0, fill_value=9)
      [1 1]

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