util.py 文件源码

def outlier_detection(window_data: list) -> list:
    """
    removes outliers from a list
    This algorithm is modified version of Chauvenet's_criterion (https://en.wikipedia.org/wiki/Chauvenet's_criterion)
    :param window_data:
    :return:
    """
    if not window_data:
        raise ValueError("List is empty.")

    vals = []
    for dp in window_data:
        vals.append(float(dp.sample))

    median = stat.median(vals)
    standard_deviation = stat.stdev(vals)
    normal_values = list()

    for val in window_data:
        if (abs(float(val.sample)) - median) < standard_deviation:
            normal_values.append(float(val.sample))

    return normal_values