如何將python字符串數據轉換為列表或dict？

Question

這是我來自GCM-python的響應代碼，

{"multicast_id":6343554431392278573,"success":5,"failure":15,"canonical_ids":0,"results":[{"message_id":"0:1380910865603840%356b
9054f9fd7ecd"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":
"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"message_id":"0:1380910865592683%356b9054f9fd7ecd"},{"erro
r":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"er
ror":"NotRegistered"},{"message_id":"0:1380910865600910%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"message_id":"0:1380910865
596592%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"message_id":"0:1380910865595499%356b9054f9fd7ecd"}]}

當我收到此響應時，我想從字典中收集所有錯誤鍵...但是似乎它是一個字符串，我將嘗試使用json.dumps（）在json中轉儲，然后刪除斜杠但對我不起作用，甚至沒有工作AST。 我嘗試了這個python json dumps 。 我在那里想念什么？ 請幫助我。

Answer 1

如果是字符串，請加載它，不要轉儲它：

#! /usr/bin/python3

import json

a = '''{"multicast_id":6343554431392278573,"success":5,"failure":15,"canonical_ids":0,"results":[{"message_id":"0:1380910865603840%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":
"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"message_id":"0:1380910865592683%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"message_id":"0:1380910865600910%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"message_id":"0:1380910865596592%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"message_id":"0:1380910865595499%356b9054f9fd7ecd"}]}'''

j = json.loads(a)
errors = [d for d in j ['results'] if 'error' in d]
print(errors)

Answer 2

由於您收到的數據是有效的Python數據，因此您只需使用[ast.literal_eval] [1]

演示

import ast
data = '''{"multicast_id":6343554431392278573,"success":5,"failure":15,"canonical_ids":0,"results":[{"message_id":"0:1380910865603840%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":
"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"message_id":"0:1380910865592683%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"error":"NotRegistered"},{"message_id":"0:1380910865600910%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"message_id":"0:1380910865596592%356b9054f9fd7ecd"},{"error":"NotRegistered"},{"message_id":"0:1380910865595499%356b9054f9fd7ecd"}]}'''

>>> pp.pprint(ast.literal_eval(data))
{   'canonical_ids': 0,
    'failure': 15,
    'multicast_id': 6343554431392278573L,
    'results': [   {   'message_id': '0:1380910865603840%356b9054f9fd7ecd'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'message_id': '0:1380910865592683%356b9054f9fd7ecd'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'error': 'NotRegistered'},
                   {   'message_id': '0:1380910865600910%356b9054f9fd7ecd'},
                   {   'error': 'NotRegistered'},
                   {   'message_id': '0:1380910865596592%356b9054f9fd7ecd'},
                   {   'error': 'NotRegistered'},
                   {   'message_id': '0:1380910865595499%356b9054f9fd7ecd'}],
    'success': 5}
>>> 

隨后轉儲錯誤

>>> pp.pprint([elem['error'] for elem in ast.literal_eval(data)['results'] if 'error' in elem])
[   'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered',
    'NotRegistered']