装载自：https://www.debugger.wiki/article/html/1577444402436939

handlebars
import numpy as np
import pandas as pd
def detect_outliers(data, threshold=3):
    """离群点检测"""
    mean_d = np.mean(data)
    std_d = np.std(data)
    outliers = []
    for y in data:
        z_score = (y - mean_d) / std_d
        if np.abs(z_score) > threshold:
            outliers.append(y)
    return outliers

handlebars
def detect_outliers(sr):
    q1 = sr.quantile(0.25)
    q3 = sr.quantile(0.75)
    iqr = q3-q1 #Interquartile range
    fence_low  = q1-1.5*iqr
    fence_high = q3+1.5*iqr
    outliers = sr.loc[(sr < fence_low) | (sr > fence_high)]
    return outliers