code: def percentage_of_reoccurring_datapoints_to_all_datapoints(self, x):
          
          _perc = feature_calculators.percentage_of_reoccurring_datapoints_to_all_datapoints(x)
          logging.debug("percentage of reoccurring datapoints to all datapoints by tsfresh calculated")
          return _perc
docs: As in tsfresh `percentage_of_reoccurring_datapoints_to_all_datapoints <https://github.com/blue-yonder/tsfresh/\
          blob/master/tsfresh/feature_extraction/feature_calculators.py#L739>`_ \
  
          Returns the percentage of unique values, that are present in the time series more than once.\
          len(different values occurring more than once) / len(different values)\
          This means the percentage is normalized to the number of unique values, in contrast to the \
          percentage_of_reoccurring_values_to_all_values.
          
          
          :param x: the time series to calculate the feature of
          :type x: pandas.Series
          :return: the value of this feature
          :rtype: float