code: def from_optimize_result(cls, result, n, m, index=None):
          
          coords = pd.DataFrame(result.x.reshape((m, n)), index=index)
          projection = cls(coords)
          projection.stress = result.fun
          return projection
docs: Construct a Projection from the output of an optimization.
  
          Args:
              result (:py:class:`scipy.optimize.OptimizeResult`): Object 
                  returned by :py:func:`scipy.optimize.minimize`.
              n (`int`): Number of dimensions.
              m (`int`): Number of samples.
              index (`list-like`): Names of samples. (Optional).
  
          Returns:
              :py:class:`pymds.Projection`