在JSON中搜索项和显示值
我有以下JSON数据，我试图通过在JSON中搜索项和显示值,json,python-2.7,search,Json,Python 2.7,Search,我有以下JSON数据，我试图通过[lastStarport][productions]键进行搜索，并根据商品名称返回其中一个值 i、 e.我想搜索项目“衣服”并返回“cost_mean”值，我已经查看了一些搜索JSON的其他示例，但似乎无法根据我的目的调整它们 像往常一样，任何帮助都会受到感激 { "commander": { "id": 1111111, "name": "xxxxxxxx", "credits": 12345678, "debt": 0,
[lastStarport][productions]{
"commander": {
"id": 1111111,
"name": "xxxxxxxx",
"credits": 12345678,
"debt": 0,
"currentShipId": 2,
"alive": true,
"docked": false,
"rank": {
"combat": 3,
"trade": 4,
"explore": 5,
"crime": 0,
"service": 0,
"empire": 0,
"federation": 0
}
},
"lastSystem": {
"id": "12342356464335",
"name": "xxxx xxx xxxx"
},
"lastStarport": {
"id": "234234234234",
"name": "xxxx xxxxx",
"faction": "xxxxxxx",
"commodities": [
{
"id": "128049204",
"name": "Explosives",
"cost_min": 300,
"cost_max": 456,
"cost_mean": "378.00",
"homebuy": "60",
"homesell": "56",
"consumebuy": "4",
"baseCreationQty": 180.32,
"baseConsumptionQty": 0,
"capacity": 49669,
"buyPrice": 222,
"sellPrice": 207,
"meanPrice": 378,
"demandBracket": 0,
"stockBracket": 2,
"creationQty": 49669,
"consumptionQty": 0,
"targetStock": 49669,
"stock": 27813,
"demand": 0,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Chemicals",
"volumescale": "1.1400"
},
{
"id": "128049202",
"name": "Hydrogen Fuel",
"cost_min": 125,
"cost_max": 168,
"cost_mean": "147.00",
"homebuy": "74",
"homesell": "71",
"consumebuy": "3",
"baseCreationQty": 200,
"baseConsumptionQty": 200,
"capacity": 137743,
"buyPrice": 111,
"sellPrice": 106,
"meanPrice": 147,
"demandBracket": 0,
"stockBracket": 2,
"creationQty": 110179,
"consumptionQty": 27564,
"targetStock": 117069,
"stock": 68589,
"demand": 0,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Chemicals",
"volumescale": "1.3000"
},
{
"id": "128049203",
"name": "Mineral Oil",
"cost_min": 192,
"cost_max": 325,
"cost_mean": "259.00",
"homebuy": "47",
"homesell": "42",
"consumebuy": "5",
"baseCreationQty": 0,
"baseConsumptionQty": 1585.15,
"capacity": 873251,
"buyPrice": 0,
"sellPrice": 193,
"meanPrice": 259,
"demandBracket": 1,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 873251,
"targetStock": 218312,
"stock": 0,
"demand": 163734.75,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Chemicals",
"volumescale": "1.0300"
},
{
"id": "128049241",
"name": "Clothing",
"cost_min": 315,
"cost_max": 474,
"cost_mean": "395.00",
"homebuy": "61",
"homesell": "57",
"consumebuy": "4",
"baseCreationQty": 17.85,
"baseConsumptionQty": 171.5,
"capacity": 26095,
"buyPrice": 0,
"sellPrice": 454,
"meanPrice": 395,
"demandBracket": 2,
"stockBracket": 0,
"creationQty": 2459,
"consumptionQty": 23636,
"targetStock": 8368,
"stock": 0,
"demand": 17727,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Consumer Items",
"volumescale": "1.1500"
},
{
"id": "128049240",
"name": "Consumer Technology",
"cost_min": 6561,
"cost_max": 7500,
"cost_mean": "7031.00",
"homebuy": "93",
"homesell": "92",
"consumebuy": "1",
"baseCreationQty": 0,
"baseConsumptionQty": 27,
"capacity": 6512,
"buyPrice": 0,
"sellPrice": 7503,
"meanPrice": 7031,
"demandBracket": 3,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 6512,
"targetStock": 1627,
"stock": 0,
"demand": 4885,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Consumer Items",
"volumescale": "1.1000"
},
{
"id": "128049238",
"name": "Domestic Appliances",
"cost_min": 527,
"cost_max": 734,
"cost_mean": "631.00",
"homebuy": "70",
"homesell": "67",
"consumebuy": "3",
"baseCreationQty": 10.71,
"baseConsumptionQty": 102.41,
"capacity": 9709,
"buyPrice": 0,
"sellPrice": 692,
"meanPrice": 631,
"demandBracket": 2,
"stockBracket": 0,
"creationQty": 1476,
"consumptionQty": 8233,
"targetStock": 3534,
"stock": 0,
"demand": 6175,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Consumer Items",
"volumescale": "1.2500"
},
{
"id": "128049177",
"name": "Algae",
"cost_min": 135,
"cost_max": 265,
"cost_mean": "200.00",
"homebuy": "27",
"homesell": "20",
"consumebuy": "7",
"baseCreationQty": 0,
"baseConsumptionQty": 642.6,
"capacity": 81180,
"buyPrice": 0,
"sellPrice": 136,
"meanPrice": 200,
"demandBracket": 1,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 81180,
"targetStock": 20295,
"stock": 0,
"demand": 15221.25,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Foods",
"volumescale": "1.0000"
},
{
"id": "128049182",
"name": "Animal Meat",
"cost_min": 1286,
"cost_max": 1633,
"cost_mean": "1460.00",
"homebuy": "81",
"homesell": "79",
"consumebuy": "2",
"baseCreationQty": 0,
"baseConsumptionQty": 97,
"capacity": 12032,
"buyPrice": 0,
"sellPrice": 1287,
"meanPrice": 1460,
"demandBracket": 1,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 12032,
"targetStock": 3008,
"stock": 0,
"demand": 2256,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Foods",
"volumescale": "1.4000"
},
{
"id": "128049189",
"name": "Coffee",
"cost_min": 1286,
"cost_max": 1633,
"cost_mean": "1460.00",
"homebuy": "81",
"homesell": "79",
"consumebuy": "2",
"baseCreationQty": 0,
"baseConsumptionQty": 97,
"capacity": 3900,
"buyPrice": 0,
"sellPrice": 1287,
"meanPrice": 1460,
"demandBracket": 1,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 3900,
"targetStock": 974,
"stock": 0,
"demand": 731.5,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Foods",
"volumescale": "1.4000"
},
{
"id": "128049183",
"name": "Fish",
"cost_min": 403,
"cost_max": 583,
"cost_mean": "493.00",
"homebuy": "66",
"homesell": "63",
"consumebuy": "3",
"baseCreationQty": 0,
"baseConsumptionQty": 271,
"capacity": 35482,
"buyPrice": 0,
"sellPrice": 404,
"meanPrice": 493,
"demandBracket": 1,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 35482,
"targetStock": 8870,
"stock": 0,
"demand": 6653,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Foods",
"volumescale": "1.2000"
},
{
"id": "128049184",
"name": "Food Cartridges",
"cost_min": 141,
"cost_max": 270,
"cost_mean": "206.00",
"homebuy": "31",
"homesell": "24",
"consumebuy": "7",
"baseCreationQty": 230.52,
"baseConsumptionQty": 222.5,
"capacity": 33794,
"buyPrice": 44,
"sellPrice": 34,
"meanPrice": 206,
"demandBracket": 0,
"stockBracket": 3,
"creationQty": 31749,
"consumptionQty": 2045,
"targetStock": 32259,
"stock": 30540.025009,
"demand": 0,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Foods",
"volumescale": "1.0000"
},
{
"id": "128049178",
"name": "Fruit And Vegetables",
"cost_min": 315,
"cost_max": 474,
"cost_mean": "395.00",
"homebuy": "61",
"homesell": "57",
"consumebuy": "4",
"baseCreationQty": 0,
"baseConsumptionQty": 350,
"capacity": 14069,
"buyPrice": 0,
"sellPrice": 316,
"meanPrice": 395,
"demandBracket": 1,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 14069,
"targetStock": 3516,
"stock": 0,
"demand": 2638.25,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Foods",
"volumescale": "1.1500"
},
{
"id": "128049180",
"name": "Grain",
"cost_min": 207,
"cost_max": 342,
"cost_mean": "275.00",
"homebuy": "50",
"homesell": "45",
"consumebuy": "5",
"baseCreationQty": 0,
"baseConsumptionQty": 584,
"capacity": 80485,
"buyPrice": 0,
"sellPrice": 208,
"meanPrice": 275,
"demandBracket": 1,
"stockBracket": 0,
"creationQty": 0,
"consumptionQty": 80485,
"targetStock": 20120,
"stock": 0,
"demand": 15091.25,
"rare_min_stock": "0",
"rare_max_stock": "0",
"market_id": null,
"parent_id": null,
"statusFlags": [],
"categoryname": "Foods",
"volumescale": "1.0500"
}
]
}
}
在查看了一些示例之后，我意识到我是一个非常重要的人，需要解析JSON列表的键 这实现了我想要的：
data = json.loads(JSON_String)['lastStarport']
com = raw_input('Commodity:')
comPrice = [item["cost_mean"] for item in data['commodities']
if item['name'] == com]
print comPrice
“嘿，太好了，一千行JSON代码，没有人尝试编写代码”<没人。谢谢@jornsharpe，我感谢你的帮助。对于一个刚刚开始尝试学习全新（可能超出我的深度）知识的人来说，正确方向的指针足以激励我重新审视我的例子，并试图更好地理解它们，以便我能够回答我自己的问题……太棒了！只要一步一个脚印，在你所知道的基础上再接再厉。