如何在python中对时间戳数据分组

import datetime
import pandas as pd

# 示例时间戳数据
timestamps = [1609459200, 1612137600, 1614556800, 1617235200, 1619827200]

# 使用datetime模块进行分组
groups = {}
for timestamp in timestamps:
    dt = datetime.datetime.fromtimestamp(timestamp)
    month = dt.strftime('%Y-%m')
    if month not in groups:
        groups[month] = []
    groups[month].append(timestamp)

print("使用datetime模块进行分组：")
for month, group in groups.items():
    print(f"月份：{month}，数据：{group}")

# 使用pandas库进行分组
df = pd.DataFrame({'timestamp': timestamps})
df['datetime'] = pd.to_datetime(df['timestamp'], unit='s')
df['month'] = df['datetime'].dt.to_period('M')
groups = df.groupby('month')['timestamp'].apply(list)

print("\n使用pandas库进行分组：")
for month, group in groups.items():
    print(f"月份：{month}，数据：{group}")