如何使用Pandas Python设置5分钟滚动平均窗口来重采样数据

import pandas as pd

# 创建一个示例数据集
data = {'timestamp': ['2022-01-01 00:00:00', '2022-01-01 00:01:00', '2022-01-01 00:02:00', '2022-01-01 00:03:00', '2022-01-01 00:04:00', '2022-01-01 00:05:00', '2022-01-01 00:06:00', '2022-01-01 00:07:00', '2022-01-01 00:08:00', '2022-01-01 00:09:00'],
        'value': [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}
df = pd.DataFrame(data)

# 将timestamp列转换为时间类型
df['timestamp'] = pd.to_datetime(df['timestamp'])

# 将timestamp列设置为索引
df.set_index('timestamp', inplace=True)

# 使用resample函数进行重采样，并计算5分钟滚动平均值
resampled_data = df.resample('5T').mean()

print(resampled_data)