Python中的JSON：如何获取数组的特定部分？
[英]JSON in Python: How do I get specific parts of an array?
问题描述
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相关的某个值，但这有点不同，我的JSON文件现在更加复杂，就是这样
{
"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
}
你可以看到这真的很长，我的问题是，我如何只从某个playerStatSummarySet集中获取特定值？ 就像我们说我只是想抓住从集与评定值playerStatSummaryType的价值RankedSolo5x5我会怎么做呢？
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)
3 个解决方案
解决方案1
4 已采纳 2013-01-07 15:24:20
如果你必须使用复杂的json对象，我建议你看一下为json对象提供xpath语言的jsonpath 。
一个例子：
import jsonpath
import json
with open('/test.json', 'r') as f:
data = json.load(f)
path = "$.[?(@.playerStatSummaryType == 'RankedSolo5x5')].rating"
jsonpath.jsonpath(data,path)
出：
[1505]
解决方案2
1 2013-01-07 15:26:59
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]
解决方案3
-1 2013-01-07 17:10:40
您仍然可以这样做，但您必须正确访问数据结构。 json.load()返回的是一个JSON object ，它与Python字典相同。 这个obj有一个名为'data'的键，它与另一个对象词典等相关联，直到你到达'playerStatSummaries'对象，该对象的数据成员用'playerStatSummarySet'键入，实际上是一个Python列表而不是另一个对象字典。
以下是如何搜索摘要集列表并查找特定条目的示例 - 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您所在的条目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()整个jsonObj很有用，这使得结构很容易看到。
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