code: def _get_deviation_of_mean(self, series, multiplier=3):
          
          capped_series = np.minimum(
              series, series.mean() + multiplier * series.std())
          count = pd.value_counts(series != capped_series)
          count = count[True] if True in count else 0
          perc = self._percent(count / self.length)
          return count, perc
docs: Returns count of values deviating of the mean, i.e. larger than `multiplier` * `std`.
          :type series:
          :param multiplier:
          :return: