上面提到的第四篇文章最后有个解析数组的例子，出现了 .First.First.First.First.Children(); 我表示很晕，网上找的的例子大多数是关于JObject的，但是我很少看到JArray的例子，其实解析json数组的时候是需要用到JArray的，复杂数据实际上是JObject和JArray的组合：{}对应的是JObject，而[]对应的是JArray。举个json的例子吧（数据来源是腾讯地图api的示例，解析的是北京某处的地理信息和周边信息，略长啊）
引用： Newtonsoft.Json
[javascript] view plain copy { "status": 0, "message": "query ok", "result": { "address": "北京市海淀区彩和坊路海淀西大街74号", "address_component": { "province": "北京市", "city": "北京市", "district": "海淀区", "street": "彩和坊路", "street_number": "海淀西大街74号" }, "pois": [ { "id": "3629720141162880123", "title": "中国技术交易大厦", "address": "北京市海淀区北四环西路66号", "category": "房产小区;商务楼宇", "location": { "lat": "39.984122", "lng": "116.307484" }, "_distance": "3.6" }, { "id": "2845372667492951071", "title": "中国技术交易大厦A座", "address": "北京市海淀区北四环西路66号", "category": "房产小区;商务楼宇", "location": { "lat": "39.984273", "lng": "116.307577" }, "_distance": "15.2" }, { "id": "12925244666643621769", "title": "中国技术交易大厦B座", "address": "北京市海淀区北四环西路66号", "category": "房产小区;商务楼宇", "location": { "lat": "39.983902", "lng": "116.307588" }, "_distance": "29.3" }, { "id": "7472400256925846331", "title": "中国化工博物馆", "address": "海淀区北四环西路62号中国化工集团大厦3楼(海淀桥西)", "category": "文化场馆;博物馆", "location": { "lat": "39.984582", "lng": "116.308877" }, "_distance": "127.5" }, { "id": "16243165360295251323", "title": "贝塔咖啡", "address": "北京市海淀区北四环西路66号中关村第三极大厦1层西北侧", "category": "娱乐休闲;咖啡厅", "location": { "lat": "39.984391", "lng": "116.307380" }, "_distance": "28.0" }, { "id": "7246616758286733108", "title": "基督教堂", "address": "北京市海淀区彩和坊路9号", "category": "旅游景点;教堂", "location": { "lat": "39.983146", "lng": "116.307507" }, "_distance": "112.2" }, { "id": "8627298709465036679", "title": "北京三木和商店", "address": "北京市海淀区北四环西路66号中关村文化商厦三层D-006-009单元", "category": "购物;综合商场", "location": { "lat": "39.984093", "lng": "116.307983" }, "_distance": "42.6" }, { "id": "12020256857742021617", "title": "图书城昊海楼", "address": "北京市海淀区海淀西街36号", "category": "房产小区;住宅区;住宅小区", "location": { "lat": "39.984400", "lng": "116.306794" }, "_distance": "65.4" }, { "id": "10394251724976454044", "title": "北京点点酷东东商贸中心海淀分部", "address": "北京市海淀区北四环西路66号中关村文化商厦2B001", "category": "购物;综合商场", "location": { "lat": "39.984093", "lng": "116.307983" }, "_distance": "42.6" }, { "id": "16427755502147943355", "title": "北京资源燕园宾馆", "address": "北京市海淀区颐和园路1号", "category": "酒店宾馆;星级酒店", "location": { "lat": "39.986712", "lng": "116.305822" }, "_distance": "318.3" } ] } }
我使用HttpRequest获取了这部分信息
[csharp] view plain copy HttpWebRequest request = (HttpWebRequest)result.AsyncState; HttpWebResponse response = (HttpWebResponse)(request.EndGetResponse(result)); stream = response.GetResponseStream(); StreamReader reader = new StreamReader(stream, false); string apiText = reader.ReadToEnd(); JObject jsonObj = null; try { jsonObj = JObject.Parse(apiText); if (jsonObj.Count == 1 || (int)(jsonObj["status"]) != 0) this.isError = true; else { string provinceName = (string)jsonObj["result"]["address_component"]["province"]; string cityName = this.cityName_s = (string)jsonObj["result"]["address_component"]["city"]; string districtName = (string)jsonObj["result"]["address_component"]["district"]; string street = (string)jsonObj["result"]["address_component"]["street"]; [csharp] view plain copy /*下面是解析JArray的部分*/ JArray jlist = JArray.Parse(jsonObj["result"]["pois"].ToString()); //将pois部分视为一个JObject，JArray解析这个JObject的字符串 LocationItem locationitem = null; //存储附近的某个地点的信息 locations = new List<LocationItem>(); //附近位置的列表 for(int i = 0; i < jlist.Count ; ++i) //遍历JArray { locationitem = new LocationItem(); JObject tempo = JObject.Parse(jlist[i].ToString()); locationitem.id = tempo["id"].ToString(); locationitem.title = tempo["title"].ToString(); locationitem._distance = tempo["_distance"].ToString(); locationitem.address = tempo["address"].ToString(); locationitem.category = tempo["category"].ToString(); locationitem.location.lat = tempo["location"]["lat"].ToString(); locationitem.location.lng = tempo["location"]["lng"].ToString(); locations.Add(locationitem); } } } catch (Exception) { isError = true; }
其中使用了两个类
[csharp] view plain copy public class LngLat { public string lat { get; set; } public string lng { get; set; } } public class LocationItem { public string id{get;set;} // public string title { get; set; } //名称 public string address { get; set; } //地址 public string category { get; set; } //类型 public LngLat location { get; set; } //经纬度 public string _distance { get; set; } //距离（米） public LocationItem() { id = "0"; title = ""; address = ""; _distance = "0"; location = new LngLat { lng = "0", lat = "0" }; category = ""; } }
这样就完成了这个复杂json数据的解析。JSON数组访问还有用数组下标方式的，那个就需要数组至少要有足够的个数，如要取得上面那个json数据的 中国技术大厦A座 ，就是用 jsonObj["result"]["pois"][1]["title"].ToString() ,即访问了result下pois数组的第2个节点的title信息，但是要遍历所有的数据就明显不如JArray方便了
转载于:https://www.cnblogs.com/sishahu/p/5640728.html
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