def percentage_of_reoccurring_values_to_all_values(x):
    """
    Returns the ratio of unique values, that are present in the time series
    more than once.

        # of data points occurring more than once / # of all data points

    This means the ratio is normalized to the number of data points in the time series,
    in contrast to the percentage_of_reoccurring_datapoints_to_all_datapoints.

    :param x: the time series to calculate the feature of
    :type x: numpy.ndarray
    :return: the value of this feature
    :return type: float
    """
    if not isinstance(x, pd.Series):
        x = pd.Series(x)

    if x.size == 0:
        return np.nan

    value_counts = x.value_counts()
    reoccuring_values = value_counts[value_counts > 1].sum()

    if np.isnan(reoccuring_values):
        return 0

    return reoccuring_values / x.size
Returns the ratio of unique values, that are present in the time series
    more than once.

        # of data points occurring more than once / # of all data points

    This means the ratio is normalized to the number of data points in the time series,
    in contrast to the percentage_of_reoccurring_datapoints_to_all_datapoints.

    :param x: the time series to calculate the feature of
    :type x: numpy.ndarray
    :return: the value of this feature
    :return type: float