从嵌套字典中提取值出现的次数

时间:2019-02-15 03:14:30

标签: python dictionary nested counter

我正在尝试从嵌套字典中提取值的总和并将键名保留为新字典。

我一直在尝试从这里进行研究的各种方法,但是下面是我得到的最接近的方法。

源词典:

result_data=

{
   "uhawjjh4": {
     "GET": "GREEN",
     "POST": "GREEN",
     "Query": "GREEN",
     "Cookie": "RED",
     "String": "RED",
     "Body": "BLUE"
   },
   "bcfp19sg": {
     "GET": "GREEN",
     "POST": "GREEN",
     "Query": "RED",
     "Cookie": "RED",
     "String": "RED",
     "Body": "BLUE"
   }
 }

代码:

    result_data_global = Counter()
    for data in result_data.values():
        result_data_global += Counter(data.keys())

结果:



  {
    "GREEN": 5,
    "RED": 5,
    "BLUE": 2,
  }


我需要的是总数的键和值:

{
      "GET": {"GREEN": 2},
      "POST": {"GREEN": 2},
      "Query": {"GREEN": 1, “RED”: 1},
       ....
{

可能很简单,但是在这里没有成功。谢谢!

2 个答案:

答案 0 :(得分:2)

您可以使用dict.setdefault

result = {}
for d in result_data.values():
    for k, v in d.items():
        result[k][v] = result.setdefault(k, {}).get(v, 0) + 1

result变为:

{'GET': {'GREEN': 2}, 'POST': {'GREEN': 2}, 'Query': {'GREEN': 1, 'RED': 1}, 'Cookie': {'RED': 2}, 'String': {'RED': 2}, 'Body': {'BLUE': 2}}

答案 1 :(得分:1)

您可以使用SELECT p.CnBio_ID, p.Type, max(p.Subj_Date_Last_Seen_1) as maxdate from Phones p GROUP BY p.CnBio_ID, p.Personal_Business, p.Type

collections.defaultdict

输出:

from collections import Counter, defaultdict
d = {'uhawjjh4': {'GET': 'GREEN', 'POST': 'GREEN', 'Query': 'GREEN', 'Cookie': 'RED', 'String': 'RED', 'Body': 'BLUE'}, 'bcfp19sg': {'GET': 'GREEN', 'POST': 'GREEN', 'Query': 'RED', 'Cookie': 'RED', 'String': 'RED', 'Body': 'BLUE'}}
new_d = defaultdict(list)
result = [i for b in d.values() for i in b.items()]
for a, b in result:
  new_d[a].append(b)

new_result = {a:dict(Counter(b)) for a, b in new_d.items()}