需求-shidebing

# 原始数据

list1 = [

    {"c_id": "101", "e_code": "201"},

    {"c_id": "102", "e_code": "202"},

    {"c_id": "103", "e_code": "201"},

    {"c_id": "104", "e_code": "204"},

    {"c_id": "105", "e_code": "204"},

]

# 变形后的目标数据

list2 = [

    {'201':

         [{"c_id": "101", "e_code": "201"},

          {"c_id": "103", "e_code": "201"}, ]

     },

    {'202':

         [{"c_id": "102", "e_code": "202"}, ]

     },

    {"204":

         [{"c_id": "104", "e_code": "204"},

          {"c_id": "105", "e_code": "204"}, ]

     }

]

e_code_val_list = []

new_data = []

# 遍历原始数据list1，获取e_code的值列表

for dict_new in list1:

    # print()

    for k, v in dict_new.items():

        # print("%s=%s" % (k, v))

        if k == "e_code":

            e_code_val_list.append(v)

print("=========0==========")

# "e_code"值去重

e_code_val_list = list(set(e_code_val_list))

print(e_code_val_list)

print("=========1==========")

# 根据e_code的值分类，遍历原始数据list1，

for val in e_code_val_list:

    new_data.append({val: []})

print(new_data)

print("=========2==========")

# 构建目标数据

for dict_new in new_data:

    # print(dict)

    for k_e_c, v_list in dict_new.items():

        # print(k_e_c)

        for dict_old in list1:

            # print(dict)

            for k, v in dict_old.items():

                if k == "e_code" and v == k_e_c:

                    dict_new[k_e_c].append(dict_old)

print(new_data)

　　

输出：

=========0==========

['204', '201', '202']

=========1==========

[{'204': []}, {'201': []}, {'202': []}]

=========2==========

[{'204': [{'c_id': '104', 'e_code': '204'}, {'c_id': '105', 'e_code': '204'}]}, {'201': [{'c_id': '101', 'e_code': '201'}, {'c_id': '103', 'e_code': '201'}]}, {'202': [{'c_id': '102', 'e_code': '202'}]}]