如何按ID分组，然后找到每个新数据帧的时间增量？

# 假设数据存储在一个列表中，每个数据帧是一个字典，包含ID和时间戳字段
data = [
    {'ID': 1, 'timestamp': 100},
    {'ID': 1, 'timestamp': 200},
    {'ID': 2, 'timestamp': 150},
    {'ID': 2, 'timestamp': 300},
    {'ID': 2, 'timestamp': 400},
]

# 按ID分组
groups = {}
for item in data:
    ID = item['ID']
    if ID not in groups:
        groups[ID] = []
    groups[ID].append(item)

# 对每个分组按时间戳排序
for ID, group in groups.items():
    group.sort(key=lambda x: x['timestamp'])

# 计算每个新数据帧的时间增量
for ID, group in groups.items():
    prev_timestamp = None
    for item in group:
        if prev_timestamp is not None:
            time_increment = item['timestamp'] - prev_timestamp
            print(f"ID: {ID}, 时间增量: {time_increment}")
        prev_timestamp = item['timestamp']