Python实现嵌套列表多人唯一组合生成及对应特征值累加

直接把itertools.combinations作用于原列表的元素，无需拆分姓名、特征后再做匹配，省掉冗余的匹配逻辑，全程用生成器表达式+列表推导完成计算，代码简洁易读。

import itertools

# 示例输入列表
stud_lst = [['Pete', '36', '36', '36', '30'], ['Derek', '31', '21', '31', '20'], ['Tommy', '20', '30', '25', '35']]
# 定义需要生成的组合大小
group_sizes = [2, 3]
result = []

for size in group_sizes:
    # 直接生成对应人数的成员组合
    for group in itertools.combinations(stud_lst, size):
        # 拼接组合内所有人名
        combined_name = ''.join(p[0] for p in group)
        # 按位置求和特征值，转成字符串格式
        combined_features = [str(sum(int(p[i]) for p in group)) for i in range(1, 5)]
        result.append([combined_name] + combined_features)

# 输出验证
for item in result:
    print(item)

运行上述代码后会得到符合要求的结果，示例输出如下：

['PeteDerek', '67', '57', '67', '50']
['PeteTommy', '56', '66', '61', '65']
['DerekTommy', '51', '51', '56', '55']
['PeteDerekTommy', '87', '87', '92', '85']

内容的提问来源于stack exchange，提问作者Peter Wölfel