基于迭代规则隔离Pandas Dataframe的多行

import pandas as pd

# 创建一个示例Dataframe
data = {'Name': ['Tom', 'Nick', 'John', 'Tom', 'Nick', 'John'],
        'Age': [20, 25, 30, 35, 40, 45],
        'City': ['New York', 'Paris', 'London', 'Tokyo', 'Berlin', 'Sydney']}
df = pd.DataFrame(data)

# 定义迭代规则：如果连续两行的Name相同，则将它们隔离开来
prev_name = None
isolated_rows = []
for index, row in df.iterrows():
    if row['Name'] != prev_name:
        isolated_rows.append([row])
    else:
        isolated_rows[-1].append(row)
    prev_name = row['Name']

# 打印隔离后的多行数据
for rows in isolated_rows:
    for row in rows:
        print(row)
    print('---')