将df.groupby()形成的组拆分成具有这些分组值的多个数据帧

import pandas as pd

# 创建一个示例数据帧
data = {'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],
        'B': ['one', 'one', 'two', 'two', 'two', 'one', 'two', 'one'],
        'C': [1, 2, 3, 4, 5, 6, 7, 8],
        'D': [10, 20, 30, 40, 50, 60, 70, 80]}
df = pd.DataFrame(data)

# 按照列 'A' 进行分组
grouped = df.groupby('A')

# 将组拆分为多个数据帧
group_frames = []
for group_name, group_df in grouped:
    group_frames.append(group_df)

# 打印每个分组的数据帧
for i, frame in enumerate(group_frames):
    print(f"Group {i+1}:")
    print(frame)
    print("---")