对不按顺序排列的字典键和值进行分组

Question

下面我有一个字典列表：dict = [{'name': 'Sector',  'entity': 'ORG(100.0)',  'synonyms': "Sector:['sector', 'sphere'], , ",  'definition': 'Sector'},  {'name': 'Community Name',  'entity': 'PERSON(39.74)',  'synonyms': "Community:['biotic_community', 'community', 'community_of_interests', 'residential_area', 'residential_district']",  'definition': 'Community'}]如何添加将实体分组的新键，并将定义定义为值？所需的输出（类别是新添加的键）：dict = [{'name': 'Sector',  'category': {  'entity': 'ORG(100.0)',  'definition': 'Sector'},  'synonyms': "Sector:['sector', 'sphere'], , "},  {'name': 'Community Name',  'category':{  'entity': 'PERSON(39.74)',  'definition': 'Community'},   'synonyms': "Community:['biotic_community', 'community', 'community_of_interests', 'residential_area', 'residential_district']"}]我已经尝试过[{'name': i.pop('name'), 'category': i}  for I in dict]，但它只适用于按顺序排列的键，我如何修改它以便我可以选择某些键，因为entity它们definition彼此不相邻？

Answer 1

看来你需要

data = [{'name': 'Sector',

  'entity': 'ORG(100.0)',

  'synonyms': "Sector:['sector', 'sphere'], , ",

  'definition': 'Sector'},

  {'name': 'Community Name',

  'entity': 'PERSON(39.74)',

  'synonyms': "Community:['biotic_community', 'community', 'community_of_interests', 'residential_area', 'residential_district']",

  'definition': 'Community'}]

subkeys = ['entity', 'definition']

result = [{'category': {k: i.pop(k) for k in subkeys},  **i}  for i in data]

print(result)

输出：

[{'category': {'definition': 'Sector', 'entity': 'ORG(100.0)'},

  'name': 'Sector',

  'synonyms': "Sector:['sector', 'sphere'], , "},

 {'category': {'definition': 'Community', 'entity': 'PERSON(39.74)'},

  'name': 'Community Name',

  'synonyms': "Community:['biotic_community', 'community', "

              "'community_of_interests', 'residential_area', "

              "'residential_district']"}]

Answer 2

看起来您想转换每个对象，在这种情况下，我会选择具有自定义功能的地图。

import json

dicts = [

    {

        'name': 'Sector', 

        'entity': 'ORG(100.0)', 

        'synonyms': "Sector:['sector', 'sphere'], , ", 

        'definition': 'Sector'

    },

    {

        'name': 'Community Name', 

        'entity': 'PERSON(39.74)', 

        'synonyms': "Community:['biotic_community', 'community', 'community_of_interests', 'residential_area', 'residential_district']", 

        'definition': 'Community'

    }

]

def map_func(item):

    item['category'] = {'entity': item['entity'], 'definition': item['definition']}

    item.pop('entity')

    item.pop('definition')

    return item

mapped_dicts = map(lambda x: map_func(x), dicts)

print(json.dumps(list(mapped_dicts), indent=2))

[

  {

    "name": "Sector",

    "synonyms": "Sector:['sector', 'sphere'], , ",

    "category": {

      "entity": "ORG(100.0)",

      "definition": "Sector"

    }

  },

  {

    "name": "Community Name",

    "synonyms": "Community:['biotic_community', 'community', 'community_of_interests', 'residential_area', 'residential_district']",

    "category": {

      "entity": "PERSON(39.74)",

      "definition": "Community"

    }

  }

]