列出pandas数据框值的所有可能组合，以达到某个总和

import pandas as pd
from itertools import combinations

def find_combinations(dataframe, target_sum):
    # 获取DataFrame的列名
    column_names = list(dataframe.columns)
    # 初始化一个空的DataFrame，用于存储所有可能组合
    result = pd.DataFrame(columns=column_names)
    
    # 遍历所有列名的组合
    for r in range(1, len(column_names) + 1):
        combinations_list = list(combinations(column_names, r))
        
        # 遍历每个组合
        for combination in combinations_list:
            # 计算当前组合的总和
            combination_sum = dataframe[list(combination)].sum(axis=1)
            
            # 检查总和是否等于目标总和
            if combination_sum.isin([target_sum]).any():
                # 将满足条件的组合添加到结果DataFrame中
                result = pd.concat([result, dataframe[list(combination)]], ignore_index=True)
    
    return result

import pandas as pd

# 创建一个示例DataFrame
data = {
    'A': [1, 2, 3],
    'B': [4, 5, 6],
    'C': [7, 8, 9]
}

df = pd.DataFrame(data)

target_sum = 10
combinations_df = find_combinations(df, target_sum)
print(combinations_df)