PANDAS如何根据第一列中的值拆分数据帧？

import pandas as pd

# 创建一个示例数据帧
data = {'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar'],
        'B': [1, 2, 3, 4, 5, 6],
        'C': [7, 8, 9, 10, 11, 12]}
df = pd.DataFrame(data)

# 根据第一列的值拆分数据帧
grouped = df.groupby('A')

# 遍历每个组并打印结果
for group_name, group_data in grouped:
    print("Group Name:", group_name)
    print(group_data)
    print()

# 获取特定组的数据帧
group_foo = grouped.get_group('foo')
print("Group 'foo':")
print(group_foo)

Group Name: bar
     A  B   C
1  bar  2   8
3  bar  4  10
5  bar  6  12

Group Name: foo
     A  B   C
0  foo  1   7
2  foo  3   9
4  foo  5  11

Group 'foo':
     A  B   C
0  foo  1   7
2  foo  3   9
4  foo  5  11