# numpy.ma.argmin

ma.argmin(self, axis=None, fill_value=None, out=None) = <numpy.ma.core._frommethod object>

  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 scalar or None, 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 or 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(np.arange(4), mask=[1,1,0,0])
      >>> x.shape = (2,2)
      >>> x
      masked_array(
        data=[[--, --],
              [2, 3]],
        mask=[[ True,  True],
              [False, False]],
        fill_value=999999)
      >>> x.argmin(axis=0, fill_value=-1)
      array([0, 0])
      >>> x.argmin(axis=0, fill_value=9)
      array([1, 1])

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