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# numpy.matrix.argmin

`matrix.``argmin`(axis=None, out=None)

  Return the indices of the minimum values along an axis.

  Parameters: | See `numpy.argmin` for complete descriptions.

  See also

  `numpy.argmin`

  Notes

  This is the same as `ndarray.argmin`, but returns a `matrix` object where `ndarray.argmin` would return an `ndarray`.

  Examples

      >>> x = -np.matrix(np.arange(12).reshape((3,4))); x
      matrix([[  0,  -1,  -2,  -3],
              [ -4,  -5,  -6,  -7],
              [ -8,  -9, -10, -11]])
      >>> x.argmin()
      11
      >>> x.argmin(0)
      matrix([[2, 2, 2, 2]])
      >>> x.argmin(1)
      matrix([[3],
              [3],
              [3]])