如何对时间戳进行分组，并按天数间隔进行统计？

import datetime

# 假设时间戳列表为timestamps
timestamps = [1627833600, 1627837200, 1627920000, 1628006400, 1628092800]

# 起始日期
start_date = datetime.date(2021, 8, 1)

# 分组统计的天数间隔
interval = 7

# 创建字典用于分组统计
grouped_data = {}

# 将时间戳转换为日期并进行分组统计
for timestamp in timestamps:
    date = datetime.date.fromtimestamp(timestamp)
    days_diff = (date - start_date).days // interval
    group_key = start_date + datetime.timedelta(days=days_diff * interval)
    if group_key not in grouped_data:
        grouped_data[group_key] = 1
    else:
        grouped_data[group_key] += 1

# 输出分组统计结果
for group_key, count in grouped_data.items():
    print(f"{group_key}: {count} timestamps")