使用matplotlib绘制两天内同一时刻天气温度随时间变化的折线图

好的，下面是使用matplotlib绘制两天内同一时刻天气温度随时间变化的折线图的代码示例：

import matplotlib.pyplot as plt
import datetime

# 生成两天内每小时的时间列表
start_time = datetime.datetime(2022, 11, 1, 0)
end_time = datetime.datetime(2022, 11, 3, 0)
delta = datetime.timedelta(hours=1)
times = []
while start_time < end_time:
    times.append(start_time)
    start_time += delta

# 模拟温度数据
temperatures = [23, 22, 21, 20, 19, 18, 17, 17, 16, 16, 15, 15, 15, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 16,
                17, 18, 19, 20, 21, 22, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 23, 23, 23, 22, 22, 21,
                20, 20, 19, 18, 18, 17, 16, 16, 15, 15, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 16, 17, 18, 19,
                20, 21, 22, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 23, 23, 23, 22, 22, 21, 20, 20, 19,
                18, 18, 17, 16, 16, 15, 15, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 16, 17, 18, 19, 20, 21, 22,
                23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 23, 23, 23, 22, 22, 21, 20, 20, 19, 18, 18, 17,
                16, 16, 15, 15, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 23, 24,
                24, 24, 24, 24, 24, 24, 24, 24, 24, 23, 23, 23, 22, 22, 21, 20, 20, 19, 18, 18, 17, 16, 16, 15,
                15, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]

# 绘制折线图
plt.plot(times, temperatures)

# 设置标题和轴标签
plt.title('Temperature over time')
plt.xlabel('Time')
plt.ylabel('Temperature (℃)')

# 设置x轴的时间格式
plt.gcf().autofmt_xdate()

# 展示图像
plt.show()

这段代码会生成一个两天内同一时刻天气温度随时间变化的折线图，x轴是时间，y轴是温度。你可以将模拟的温度数据替换为真实的数据来绘制你想要的折线图。