如果该数组中不存在键，则在 json 中搜索键添加默认值

Question

我有一个 json 数据，如：{'data': [{'shares': {'count': 4},    'id':'226196778181357_353462548788112'},   {'shares': {'count': 5}, 'id': '226196778181357_353075852160115'},   {'shares': {'count': 47}, 'id': '226196778181357_350624229071944'},   {'shares': {'count': 3}, 'id': '226196778181357_350028335798200'},   {'shares': {'count': 5}, 'id': '226196778181357_349395549194812'},   {'shares': {'count': 6}, 'id': '226196778181357_348637945937239'},   {'shares': {'count': 3}, 'id': '226196778181357_342294163238284'},   {'id': '226196778181357_341686736632360'},   {'shares': {'count': 1}, 'id': '226196778181357_341024573365243'},   {'shares': {'count': 9}, 'id': '226196778181357_339828576818176'},   {'shares': {'count': 5}, 'id': '226196778181357_338017080332659'},   {'shares': {'count': 10}, 'id': '226196778181357_337493103718390'},   {'shares': {'count': 1}, 'id': '226196778181357_337432203724480'},   {'shares': {'count': 12}, 'id': '226196778181357_336955527105481'},   {'shares': {'count': 7}, 'id': '226196778181357_335994360534931'},   {'shares': {'count': 11}, 'id': '226196778181357_335979820536385'},   {'shares': {'count': 7}, 'id': '226196778181357_333787794088921'},   {'shares': {'count': 5}, 'id': '226196778181357_333174720816895'},   {'shares': {'count': 14}, 'id': '226196778181357_332554220878945'}]}如果不存在，我想在数据中搜索 dict key ={'shares'} 然后添加一个默认的 dict 即 'shares': {'count': 0}最终输出将如下所示：{'data': [{'shares': {'count': 4}, 'id':'226196778181357_353462548788112'},{'shares': {'count': 5}, 'id': '226196778181357_353075852160115'},{'shares': {'count': 47}, 'id': '226196778181357_350624229071944'},{'shares': {'count': 3}, 'id': '226196778181357_350028335798200'},{'shares': {'count': 5}, 'id': '226196778181357_349395549194812'},

Answer 1

试试这个：

for e in j['data']:

    if not 'shares' in e:

        e['shares'] = {'count': 0}

j是json.loads(your_json)。

Answer 2

你可以试试这个

dict_list = [{},{'id':12344},{'shares':{'count':1}, 'id':23456}]

for entry in dict_list:

    if 'shares' not in entry.keys():

        entry['shares']={'count':0}

输出：[{'shares': {'count': 0}}, {'id': 12344, 'shares': {'count': 0}}, {'shares': {'count': 1}, 'id'：23456}]