将字符串转换为包含字典的数组

Question

我有一个字符串：

[{"leagueId":"37085320-2d31-11e8-802e-c81f66dacb22","leagueName":"Akali's Highwaymen","tier":"BRONZE","queueType":"RANKED_FLEX_SR","rank":"III","playerOrTeamId":"87747329","playerOrTeamName":"REYKKU","leaguePoints":0,"wins":53,"losses":59,"veteran":true,"inactive":false,"freshBlood":false,"hotStreak":false},{"leagueId":"c64de250-0065-11e8-b792-c81f66dd2a8f","leagueName":"Fiora's Horde","tier":"BRONZE","queueType":"RANKED_SOLO_5x5","rank":"IV","playerOrTeamId":"87747329","playerOrTeamName":"REYKKU","leaguePoints":28,"wins":29,"losses":25,"veteran":false,"inactive":false,"freshBlood":false,"hotStreak":false}]

如何将此字符串转换为一个带有字典和数组的数组？

我已经尝试过ast.literal_eval（），但这似乎仅在字典时才起作用

Answer 1

使用JSON模块。

例如：

import json
data = """[{"leagueId":"37085320-2d31-11e8-802e-c81f66dacb22","leagueName":"Akali's Highwaymen","tier":"BRONZE","queueType":"RANKED_FLEX_SR","rank":"III","playerOrTeamId":"87747329","playerOrTeamName":"REYKKU","leaguePoints":0,"wins":53,"losses":59,"veteran":true,"inactive":false,"freshBlood":false,"hotStreak":false},{"leagueId":"c64de250-0065-11e8-b792-c81f66dd2a8f","leagueName":"Fiora's Horde","tier":"BRONZE","queueType":"RANKED_SOLO_5x5","rank":"IV","playerOrTeamId":"87747329","playerOrTeamName":"REYKKU","leaguePoints":28,"wins":29,"losses":25,"veteran":false,"inactive":false,"freshBlood":false,"hotStreak":false}]"""
print(json.loads(data))

输出：

[{u'queueType': u'RANKED_FLEX_SR', u'hotStreak': False, u'wins': 53, u'veteran': True, u'losses': 59, u'playerOrTeamId': u'87747329', u'leagueName': u"Akali's Highwaymen", u'playerOrTeamName': u'REYKKU', u'inactive': False, u'rank': u'III', u'freshBlood': False, u'leagueId': u'37085320-2d31-11e8-802e-c81f66dacb22', u'tier': u'BRONZE', u'leaguePoints': 0}, {u'queueType': u'RANKED_SOLO_5x5', u'hotStreak': False, u'wins': 29, u'veteran': False, u'losses': 25, u'playerOrTeamId': u'87747329', u'leagueName': u"Fiora's Horde", u'playerOrTeamName': u'REYKKU', u'inactive': False, u'rank': u'IV', u'freshBlood': False, u'leagueId': u'c64de250-0065-11e8-b792-c81f66dd2a8f', u'tier': u'BRONZE', u'leaguePoints': 28}]