使用bplot函数为每个箱形图添加详细信息

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(100, 5)  # 生成100行5列的随机数据

bplot = plt.boxplot(data)

for i, box in enumerate(bplot['boxes']):
    # 获取箱体的位置和大小
    x = box.get_xdata()
    y = box.get_ydata()
    box_width = x[1] - x[0]
    box_height = y[3] - y[0]
    
    # 计算中位数的位置
    median_x = x.mean()
    median_y = y.mean()
    
    # 添加中位数的标签
    plt.text(median_x, median_y, f'Median: {median_y:.2f}', ha='center', va='center')
    
    # 添加箱体的标签
    plt.text(x[0], y[0] - box_height * 0.1, f'Q1: {y[0]:.2f}', ha='left', va='top')
    plt.text(x[0], y[3] + box_height * 0.1, f'Q3: {y[3]:.2f}', ha='left', va='bottom')
    
    # 添加异常值的标签
    outliers = bplot['fliers'][i].get_ydata()
    for outlier in outliers:
        plt.text(x.mean(), outlier, f'Outlier: {outlier:.2f}', ha='center', va='center')

plt.show()