code: def _back_transform(self,inplace=True):
          
          if not self.istransformed:
              raise Exception("ParameterEnsemble already back transformed")
  
          istransformed = self.pst.parameter_data.loc[:,"partrans"] == "log"
          if inplace:
              self.loc[:,istransformed] = 10.0**(self.loc[:,istransformed])
              self.loc[:,:] = (self.loc[:,:] -\
                               self.pst.parameter_data.offset)/\
                               self.pst.parameter_data.scale
  
              self.__istransformed = False
          else:
              vals = (self.pst.parameter_data.parval1 -\
                      self.pst.parameter_data.offset) /\
                      self.pst.parameter_data.scale
              new_en = ParameterEnsemble(pst=self.pst.get(),data=self.loc[:,:].copy(),
                                columns=self.columns,
                                mean_values=vals,istransformed=False)
              new_en.loc[:,istransformed] = 10.0**(self.loc[:,istransformed])
              new_en.loc[:,:] = (new_en.loc[:,:] -\
                               new_en.pst.parameter_data.offset)/\
                               new_en.pst.parameter_data.scale
              return new_en
docs: Private method to remove log10 transformation from ensemble
  
          Parameters
          ----------
          inplace: bool
              back transform self in place
  
          Returns
          ------
          ParameterEnsemble : ParameterEnsemble
              if inplace if False
  
          Note
          ----
          Don't call this method unless you know what you are doing