code: def getLimits(self, alpha, upper=True):
          
          limit_vals = np.ndarray((self._nx))
  
          for i in range(self._nx):
              limit_vals[i] = self._loglikes[i].getLimit(alpha, upper)
  
          return limit_vals
docs: Evaluate the limits corresponding to a C.L. of (1-alpha)%.
  
          Parameters
          ----------
          alpha :  float
             limit confidence level.
          upper :  bool
             upper or lower limits.
  
          returns an array of values, one for each energy bin