我正在尝试在Python中获取JSON对象的特定值。在我可以使用之前：
数据[ '数据'] [ '数据2']
获取与data2相关联的特定值，但这有点不同，我的JSON文件现在更复杂了，是这个
{
"data": {
"playerStatSummaries": {
"playerStatSummarySet": [
{
"aggregatedStats": {
"stats": []
},
"leaves": 0,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "Unranked3x3",
"rating": 400,
"wins": 5
},
{
"aggregatedStats": {
"stats": []
},
"leaves": 0,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "AramUnranked6x6",
"rating": 400,
"wins": 0
},
{
"aggregatedStats": {
"stats": [
{
"statType": "TOTAL_CHAMPION_KILLS",
"value": 68
},
{
"statType": "TOTAL_ASSISTS",
"value": 116
},
{
"statType": "TOTAL_MINION_KILLS",
"value": 1854
},
{
"statType": "TOTAL_TURRETS_KILLED",
"value": 22
},
{
"statType": "TOTAL_NEUTRAL_MINIONS_KILLED",
"value": 359
}
]
},
"leaves": 0,
"losses": 5,
"maxRating": 1505,
"modifyDate": "/Date(1357261303440)/",
"playerStatSummaryType": "RankedSolo5x5",
"rating": 1505,
"wins": 9
},
{
"aggregatedStats": {
"stats": [
{
"statType": "TOTAL_CHAMPION_KILLS",
"value": 369
},
{
"statType": "TOTAL_ASSISTS",
"value": 535
},
{
"statType": "TOTAL_MINION_KILLS",
"value": 9917
},
{
"statType": "TOTAL_TURRETS_KILLED",
"value": 78
},
{
"statType": "TOTAL_NEUTRAL_MINIONS_KILLED",
"value": 1050
}
]
},
"leaves": 0,
"losses": 35,
"maxRating": 1266,
"modifyDate": "/Date(1323496849000)/",
"playerStatSummaryType": "RankedTeam5x5",
"rating": 1266,
"wins": 39
},
{
"aggregatedStats": {
"stats": [
{
"statType": "TOTAL_CHAMPION_KILLS",
"value": 29
},
{
"statType": "TOTAL_ASSISTS",
"value": 17
},
{
"statType": "TOTAL_MINION_KILLS",
"value": 176
},
{
"statType": "TOTAL_TURRETS_KILLED",
"value": 8
},
{
"statType": "TOTAL_NEUTRAL_MINIONS_KILLED",
"value": 12
}
]
},
"leaves": 0,
"losses": 0,
"maxRating": 1200,
"modifyDate": "/Date(1326521499000)/",
"playerStatSummaryType": "CoopVsAI",
"rating": 1200,
"wins": 2
},
{
"aggregatedStats": {
"stats": [
{
"statType": "TOTAL_CHAMPION_KILLS",
"value": 150
},
{
"statType": "TOTAL_ASSISTS",
"value": 184
},
{
"statType": "TOTAL_MINION_KILLS",
"value": 3549
},
{
"statType": "TOTAL_TURRETS_KILLED",
"value": 24
},
{
"statType": "TOTAL_NEUTRAL_MINIONS_KILLED",
"value": 224
}
]
},
"leaves": 0,
"losses": 17,
"maxRating": 0,
"modifyDate": "/Date(1350098520000)/",
"playerStatSummaryType": "RankedTeam3x3",
"rating": 1308,
"wins": 22
},
{
"aggregatedStats": {
"stats": [
{
"statType": "TOTAL_CHAMPION_KILLS",
"value": 15
},
{
"statType": "TOTAL_ASSISTS",
"value": 185
},
{
"statType": "TOTAL_MINION_KILLS",
"value": 250
},
{
"statType": "TOTAL_TURRETS_KILLED",
"value": 4
},
{
"statType": "TOTAL_NEUTRAL_MINIONS_KILLED",
"value": 15
}
]
},
"leaves": 0,
"losses": 3,
"maxRating": 1365,
"modifyDate": "/Date(1321778545000)/",
"playerStatSummaryType": "RankedPremade5x5",
"rating": 1365,
"wins": 8
},
{
"aggregatedStats": {
"stats": [
{
"statType": "TOTAL_CHAMPION_KILLS",
"value": 672
},
{
"statType": "AVERAGE_CHAMPIONS_KILLED",
"value": 9
},
{
"statType": "MAX_COMBAT_PLAYER_SCORE",
"value": 889
},
{
"statType": "AVERAGE_OBJECTIVE_PLAYER_SCORE",
"value": 771
},
{
"statType": "MAX_TEAM_OBJECTIVE",
"value": 2
},
{
"statType": "MAX_NODE_CAPTURE",
"value": 14
},
{
"statType": "MAX_OBJECTIVE_PLAYER_SCORE",
"value": 1424
},
{
"statType": "MAX_TOTAL_PLAYER_SCORE",
"value": 1950
},
{
"statType": "AVERAGE_NUM_DEATHS",
"value": 10
},
{
"statType": "TOTAL_DECAYER",
"value": 105
},
{
"statType": "TOTAL_ASSISTS",
"value": 931
},
{
"statType": "AVERAGE_NODE_NEUTRALIZE",
"value": 6
},
{
"statType": "AVERAGE_NODE_CAPTURE_ASSIST",
"value": 2
},
{
"statType": "MAX_NODE_CAPTURE_ASSIST",
"value": 5
},
{
"statType": "MAX_ASSISTS",
"value": 25
},
{
"statType": "AVERAGE_NODE_NEUTRALIZE_ASSIST",
"value": 1
},
{
"statType": "AVERAGE_TOTAL_PLAYER_SCORE",
"value": 1182
},
{
"statType": "MAX_NODE_NEUTRALIZE_ASSIST",
"value": 3
},
{
"statType": "AVERAGE_COMBAT_PLAYER_SCORE",
"value": 413
},
{
"statType": "AVERAGE_NODE_CAPTURE",
"value": 8
},
{
"statType": "MAX_CHAMPIONS_KILLED",
"value": 20
},
{
"statType": "TOTAL_NODE_NEUTRALIZE",
"value": 391
},
{
"statType": "AVERAGE_TEAM_OBJECTIVE",
"value": 1
},
{
"statType": "AVERAGE_ASSISTS",
"value": 11
},
{
"statType": "TOTAL_NODE_CAPTURE",
"value": 447
},
{
"statType": "MAX_NODE_NEUTRALIZE",
"value": 11
},
{
"statType": "MAX_NUM_DEATHS",
"value": 16
}
]
},
"leaves": 0,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "OdinUnranked",
"rating": 400,
"wins": 43
},
{
"aggregatedStats": {
"stats": []
},
"leaves": 0,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "AramUnranked2x2",
"rating": 400,
"wins": 0
},
{
"aggregatedStats": {
"stats": []
},
"leaves": 0,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "AramUnranked1x1",
"rating": 400,
"wins": 0
},
{
"aggregatedStats": {
"stats": []
},
"leaves": 0,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "AramUnranked3x3",
"rating": 400,
"wins": 0
},
{
"aggregatedStats": {
"stats": [
{
"statType": "TOTAL_CHAMPION_KILLS",
"value": 10269
},
{
"statType": "TOTAL_DECAYER",
"value": 0
},
{
"statType": "TOTAL_ASSISTS",
"value": 15722
},
{
"statType": "TOTAL_MINION_KILLS",
"value": 262793
},
{
"statType": "TOTAL_TURRETS_KILLED",
"value": 1954
},
{
"statType": "TOTAL_NEUTRAL_MINIONS_KILLED",
"value": 43898
},
{
"statType": "TOTAL_DEATHS_PER_SESSION",
"value": 1513
}
]
},
"leaves": 1,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "Unranked",
"rating": 400,
"wins": 1691
},
{
"aggregatedStats": {
"stats": []
},
"leaves": 0,
"losses": 0,
"maxRating": 0,
"modifyDate": "/Date(1357567398182)/",
"playerStatSummaryType": "AramUnranked5x5",
"rating": 400,
"wins": 0
}
]
},
"previousFirstWinOfDay": "/Date(1357489166306)/",
"userId": 55060
},
"success": true
}
正如您所看到的那样，这真的很长，我的问题是，我如何仅从特定playerStatSummarySet集中获取特定值？就像我们说的那样，我只想从playerStatSummaryType值为RankedSolo5x5的集合中获取评级值，我该怎么做？
这是我到目前为止从JSON文件中获取数据的内容。
with open('data.txt', 'r') as f:
data = json.load(f)
答案 0 :(得分：4)
如果您必须使用复杂的json对象，我建议您查看为xpath提供json类import jsonpath
import json
with open('/test.json', 'r') as f:
data = json.load(f)
path = "$.[?(@.playerStatSummaryType == 'RankedSolo5x5')].rating"
jsonpath.jsonpath(data,path)
对象语言的jsonpath。
示例：
[1505]
<强>出：
{{1}}
答案 1 :(得分：1)
使用列表理解
with open('data.txt', 'r') as f:
data = json.load(f)
rating = [summary["rating"] for summary
in data["data"]["playerStatSummaries"]["playerStatSummarySet"]
if summary["playerStatSummaryType"] == "RankedSolo5x5"][0]
答案 2 :(得分：-1)
您仍然可以这样做，但您必须正确访问数据结构。 json.load()返回的是JSON object，它与Python字典相同。这个obj中有一个名为'data'的密钥，它与另一个对象 - 字典等关联，直到你到达'playerStatSummaries'对象，该对象的数据成员实际上是'playerStatSummarySet'。一个Python列表而不是另一个对象字典。
这是一个如何搜索摘要集列表并找到特定条目的示例 - 记住由于此数据项是列表而不是字典对象，因此您可以逐步浏览其中的每个条目以查找你正在寻找而不仅仅是查找它的名字。
import json
with open('data.txt', 'r') as f:
jsonObj = json.load(f)
targetSummaryType = 'RankedSolo5x5'
for summarySet in jsonObj['data']['playerStatSummaries']['playerStatSummarySet']:
if summarySet['playerStatSummaryType'] == targetSummaryType:
print 'max rating for {}: {}'.format(targetSummaryType,
summarySet['maxRating'])
break # if you only expect there to be one
输出：
max rating for RankedSolo5x5: 1505
为了弄清楚需要什么，我发现最初pprint()使整个jsonObj变得非常有用，这使得结构很容易看到。