code: def resample_with_censoring(self,data=[],censored_data=[]):
          '''
          censored_data is full of observations that were censored, meaning a
          value of x really could have been anything >= x, so this method samples
          them out to be at least that large
          '''
          filled_in = self._uncensor_data(censored_data)
          return self.resample(data=combinedata((data,filled_in))f resample_with_censoring(self,data=[],censored_data=[]):
          '''
          censored_data is full of observations that were censored, meaning a
          value of x really could have been anything >= x, so this method samples
          them out to be at least that large
          '''
          filled_in = self._uncensor_data(censored_data)
          return self.resample(data=combinedata((data,filled_in)))
docs: censored_data is full of observations that were censored, meaning a
          value of x really could have been anything >= x, so this method samples
          them out to be at least that large