python+Matplotlib 绘制带置信区间的折线图

import numpy as np
# 生成 x 坐标轴数据，表示时间范围
x = np.arange(0, 365)
# 生成两组随机气温数据和标准误差
temp_beijing = np.random.normal(15, 5, 365)
se_beijing = np.random.normal(1, 0.3, size=365)
temp_shanghai = np.random.normal(18, 4, 365)
se_shanghai = np.random.normal(0.8, 0.2, size=365)

# 绘制带置信区间的折线图
fig, ax = plt.subplots(figsize=(10,6),dpi=300)
ax.plot(x, temp_1, color='red', label='City A')
ax.plot(x, temp_2, color='blue', label='City B')
ax.fill_between(x, temp_beijing-1.96*se_beijing, temp_beijing+1.96*se_beijing, alpha=0.2, color='red')
ax.fill_between(x, temp_shanghai-1.96*se_shanghai, temp_shanghai+1.96*se_shanghai, alpha=0.2, color='blue')

import numpy as np
import matplotlib.pyplot as plt
font = {'family':'Times New Roman','size':24}
# 定义 x 坐标轴的数据
x = np.arange(1, 32)
# 定义两组气温数据以及对应的标准误差
temp_1 = np.random.normal(25, 3, 31)
se_1 = np.random.normal(1, 0.3, size=31)
temp_2 = np.random.normal(28, 4, 31)
se_2 = np.random.normal(0.8, 0.2, size=31)
# 绘制带置信区间的折线图
fig, ax = plt.subplots(figsize=(10,6),dpi=300)
ax.plot(x, temp_1, color='red', label='City A')
ax.plot(x, temp_2, color='blue', label='City B')
# 绘制置信区间
ax.fill_between(x, temp_1-1.645*se_1, temp_1+1.645*se_1, alpha=0.2, color='green')
ax.fill_between(x, temp_2-1.645*se_2, temp_2+1.645*se_2, alpha=0.2, color='blue')
# 设置图形标题和坐标轴标签
# plt.title('Average daily urban temperature change',font)
plt.xlabel('Day', font)
plt.ylabel('Temperature(℃)', font)
# 配置图例，将其放置在底部中央
plt.legend(loc='best', ncol=2, fontsize=18)
# 配置字体和字号
plt.rcParams['font.sans-serif'] = ['Times New Roman']  # 设置字体
plt.rcParams['font.size'] = 24                # 设置字号为 24
# 显示图形
plt.show()