如何通过某个值的和将一个熊猫DataFrame拆分成多个DataFrame？

grouped = df.groupby('column_name')

group_data = grouped.get_group('group_name')

import pandas as pd

# 创建一个示例DataFrame
data = {'column_name': ['A', 'A', 'B', 'B', 'C', 'C'],
        'value': [1, 2, 3, 4, 5, 6]}
df = pd.DataFrame(data)

# 根据某个列的值进行分组
grouped = df.groupby('column_name')

# 遍历每个分组，将其存储在不同的DataFrame中
split_dfs = {}
for group_name, group_data in grouped:
    split_dfs[group_name] = group_data

# 打印拆分后的每个DataFrame
for group_name, split_df in split_dfs.items():
    print(f"Split DataFrame - Group {group_name}:")
    print(split_df)
    print()