如何在matplotlib中绘制置信区间？

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 10, 100)
y = np.sin(x)

confidence = 0.95  # 置信度
n = len(y)  # 样本数量
m = np.mean(y)  # 样本均值
std_err = np.std(y) / np.sqrt(n)  # 样本标准误差

z_score = np.abs(stats.norm.ppf((1 - confidence) / 2))  # Z分数
margin_of_error = z_score * std_err  # 误差边界

lower_bound = m - margin_of_error  # 置信区间下界
upper_bound = m + margin_of_error  # 置信区间上界

plt.plot(x, y, label='Data')
plt.fill_between(x, lower_bound, upper_bound, color='blue', alpha=0.3, label='Confidence Interval')
plt.legend()
plt.show()