解析来自JSON obejct特定记录

我有以下的JSON对象解析来自JSON obejct特定记录

 var testObj = { 
     "CompanyA": [ 
      { "geography": [ "Europe", "Germany" ], "productLine": "Produce", "revenue": { "2022": 130143, "2021": 172122, "2020": 103716 } }, 
      { "geography": [ "Europe", "France" ], "productLine": "Clothing", "revenue": { "2022": 85693, "2021": 91790, "2020": 77650 } }, 
      { "geography": [ "Europe", "France" ], "productLine": "Electronics", "revenue": { "2022": 121987, "2021": 62435, "2020": 65834 } }, 
      { "geography": [ "Europe", "Germany" ], "productLine": "Produce", "revenue": { "2022": 130143, "2021": 107447, "2020": 145543 } }, 
      { "geography": [ "Europe", "Germany" ], "productLine": "Clothing", "revenue": { "2022": 77903, "2021": 97139, "2020": 110346 } }, 
      { "geography": [ "Europe", "Germany" ], "productLine": "Electronics", "revenue": { "2022": 110897, "2021": 155282, "2020": 128696 } }, 
      { "geography": [ "South America", "Brazil" ], "productLine": "Clothing", "revenue": { "2022": 66217, "2021": 55798, "2020": 66643 } }, 
      { "geography": [ "South America", "Brazil" ], "productLine": "Electronics", "revenue": { "2022": 94262, "2021": 100560, "2020": 56272 } } 
      ], 
      "CompanyB": [ 
      { "geography": [ "Europe", "United Kingdom" ], "productLine": "Produce", "revenue": { "2022": 281110, "2021": 242965, "2020": 221863 } }, 
      { "geography": [ "Europe", "United Kingdom" ], "productLine": "Clothing", "revenue": { "2022": 168270, "2021": 121161, "2020": 60919 } }, 
      { "geography": [ "Europe", "United Kingdom" ], "productLine": "Electronics", "revenue": { "2022": 239537, "2021": 131959, "2020": 97047 } }, 
      { "geography": [ "Europe", "Ireland" ], "productLine": "Produce", "revenue": { "2022": 74963, "2021": 43406, "2020": 54623 } }, 
      { "geography": [ "Europe", "Ireland" ], "productLine": "Clothing", "revenue": { "2022": 44872, "2021": 24797, "2020": 16010 } }, 
      { "geography": [ "Europe", "Ireland" ], "productLine": "Electronics", "revenue": { "2022": 63877, "2021": 94185, "2020": 87098 } } 
      ], 
     ......... 
     };

有三个下拉菜单在我的网页像公司，地理学（CountryName2nd元素）和PRODUCTLINE ...

根据所选下拉值我需要拿起收入..

我能捕捉到公司名称，地理（国家名称）和PRODUCTLINE由用户选择的，但努力去特定的收入......

我能得到的收入是这样

console.log(testObj[company][1].revenue);

但在这里，我不知道具体的记录，因为我需要选择根据国家和PRODUCTLINE

我得到了这个解决方案。但我想知道什么是解析JSON对象的最佳方式......它是根据我们的需要，或通过JSON对象循环重建......

来源

2013-04-21 troy

可以过滤匹配的对象这样

var company = "CompanyA"; 
var country = "Germany"; 
var productLine = "Produce"; 

var res = testObj[company].filter(function(el){ 
    return el.geography[1] == country && productLine == el.productLine; 
}); 
console.log(res);

来源

2013-04-21 08:45:58 neo

喜新，我想你回答它的工作...你能告诉我你为什么用索引1的el.geography [1] ......只是想知道...... – troy 2013-04-21 08:58:07

地理[1]是国家（'[“Europe” ，“德国”] [1] ===“德国”），它看起来足以检查两个地理数组是否相等 – neo 2013-04-21 09:05:36

你只需要遍历数组，直到你找到相匹配的一个：

var companyArr = testObj[company]; 
for(var i = 0; i < companyArr.length; i++){ 
    if(companyArr[i].geography[1] == country && companyArr[i].productLine == productLine) 
     break; 
} 

if(i < companyArr.length){ // Found a match 
    console.log(companyArr[i]); // Log the matching object 
}

注意，如果重组您的JSON是一个选项，那么你可以完全避免的循环，只是这样做：

testObj[company][country][productLine].revenue

来源

2013-04-21 08:38:14 Paulpro

你好，谢谢你的回复...我试过你的解决方案，它给了我一个错误“无法读取属性'1'未定义” – troy 2013-04-21 08:46:17

我认为如果（companyArr.geography [1]应该是如果（companyArr.geography [i ] – Silvertiger 2013-04-21 08:48:09

我想它，以及它告诉我 “无法读取属性 '0' 的未定义” – troy 2013-04-21 08:53:25

解析来自JSON obejct特定记录

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