Newtonsoft.Json解析数组的小例子
发布时间:2020-12-16 19:46:16 所属栏目:百科 来源:网络整理
导读:http://www.cnblogs.com/usharei/category/373071.html 有四篇很好的文章,建议学习下,但是现在的各种服务的json数据都是复杂类型的,本文只是补充一个复杂数据(数组)的小例子 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.Fi
http://www.cnblogs.com/usharei/category/373071.html 有四篇很好的文章,建议学习下,但是现在的各种服务的json数据都是复杂类型的,本文只是补充一个复杂数据(数组)的小例子
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)
{ "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","location": { "lat": "39.984273","lng": "116.307577" },"_distance": "15.2" },{ "id": "12925244666643621769","title": "中国技术交易大厦B座","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",{ "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 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"]; /*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 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 (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |