JSON解析

今天在学习关于一个天气预报的app，遇到了关于JSON解析的问题，有点晕乎乎的，来记录一下，方便日后复习

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result = {"HeWeatherdataservice":[{"aqi":{"city":{"aqi":"136","pm10":"144","pm25":"103","qlty":"轻度污染"}},

"basic":{"city":"焦作","cnty":"中国","id":"CN101181101","lat":"35.242000","lon":"113.153000",

"update":{"loc":"2016-09-18 20:51","utc":"2016-09-18 12:51"}},

"daily_forecast":[{"astro":{"sr":"06:12","ss":"18:30"},

"cond":{"code_d":"100","code_n":"305","txt_d":"晴","txt_n":"小雨"},

"date":"2016-09-18","hum":"42","pcpn":"0.3","pop":"4","pres":"1016",

"tmp":{"max":"29","min":"20"},"vis":"10","wind":{"deg":"86","dir":"东风","sc":"3-4","spd":"14"}},

{"astro":{"sr":"06:13","ss":"18:28"},"cond":{"code_d":"104","code_n":"101","txt_d":"阴","txt_n":"多云"},

"date":"2016-09-19","hum":"40","pcpn":"3.1","pop":"97",

"pres":"1021","tmp":{"max":"25","min":"17"},"vis":"10",

"wind":{"deg":"90","dir":"无持续风向","sc":"微风","spd":"10"}},

{"astro":{"sr":"06:14","ss":"18:27"},"cond":{"code_d":"101","code_n":"100","txt_d":"多云","txt_n":"晴"},

"date":"2016-09-20","hum":"36","pcpn":"0.0","pop":"0","pres":"1019","tmp":{"max":"26","min":"17"},

"vis":"10","wind":{"deg":"177","dir":"无持续风向","sc":"微风","spd":"1"}},

{"astro":{"sr":"06:14","ss":"18:25"},"cond":{"code_d":"100","code_n":"100","txt_d":"晴","txt_n":"晴"},

"date":"2016-09-21","hum":"30","pcpn":"0.0","pop":"0","pres":"1017","tmp":{"max":"28","min":"18"},

"vis":"10","wind":{"deg":"177","dir":"无持续风向","sc":"微风","spd":"7"}},

{"astro":{"sr":"06:15","ss":"18:24"},"cond":{"code_d":"100","code_n":"305","txt_d":"晴","txt_n":"小雨"},

"date":"2016-09-22","hum":"29","pcpn":"0.0","pop":"0","pres":"1013","tmp":{"max":"30","min":"19"},

"vis":"10","wind":{"deg":"199","dir":"无持续风向","sc":"微风","spd":"10"}},

{"astro":{"sr":"06:16","ss":"18:22"},"cond":{"code_d":"100","code_n":"101","txt_d":"晴","txt_n":"多云"},

"date":"2016-09-23","hum":"29","pcpn":"0.0","pop":"0","pres":"1011","tmp":{"max":"30","min":"20"},

"vis":"10","wind":{"deg":"158","dir":"无持续风向","sc":"微风","spd":"0"}},

{"astro":{"sr":"06:17","ss":"18:21"},"cond":{"code_d":"101","code_n":"104","txt_d":"多云","txt_n":"阴"},

"date":"2016-09-24","hum":"44","pcpn":"1.4","pop":"42","pres":"1012",

"tmp":{"max":"29","min":"20"},"vis":"10","wind":{"deg":"95","dir":"无持续风向","sc":"微风","spd":"9"}}],

"hourly_forecast":[{"date":"2016-09-18 22:00","hum":"69","pop":"0","pres":"1019",

"tmp":"24","wind":{"deg":"54","dir":"东北风","sc":"微风","spd":"12"}}],

"now":{"cond":{"code":"300","txt":"阵雨"},"fl":"21","hum":"65","pcpn":"0",

"pres":"1017","tmp":"21","vis":"6","wind":{"deg":"20","dir":"东风","sc":"4-5","spd":"20"}},

"status":"ok",

"suggestion":{"comf":{"brf":"舒适",

"txt":"白天不太热也不太冷，风力不大，相信您在这样的天气条件下，应会感到比较清爽和舒适。"}

,"cw":{"brf":"不宜","txt":"不宜洗车，未来24小时内有雨，如果在此期间洗车，雨水和路上的泥水可能会再次弄脏您的爱车。"},

"drsg":{"brf":"舒适","txt":"建议着长袖T恤、衬衫加单裤等服装。年老体弱者宜着针织长袖衬衫、马甲和长裤。"},

"flu":{"brf":"少发","txt":"各项气象条件适宜，无明显降温过程，发生感冒机率较低。"},

"sport":{"brf":"较适宜","txt":"阴天，较适宜进行各种户内外运动。"},

"trav":{"brf":"适宜","txt":"天气较好，风稍大，但温度适宜，总体来说还是好天气。这样的天气适宜旅游，您可以尽情享受大自然的风光。"},

"uv":{"brf":"最弱","txt":"属弱紫外线辐射天气，无需特别防护。若长期在户外，建议涂擦SPF在8-12之间的防晒护肤品。"}}}]}

在网上找到了很多关于解析的代码，个人觉得这是较为简单的一种，

主要是数据的嵌套比较令人头疼，下面对图片的代码进行下简单的分析：

jo0拿到的是所有的数据，在这所有数据里面只有一个数组，

叫做HeWeatherdataservice,JsonArray通过名称找到了这条数据，

接下来对数据线进行for循环查找，这个数据里只有一个数组元素，

通过aqi找到了空气指数的那一条数据jo1，

再通过关键字city查找到下一级别的数据jo2,

最后通过jo2里的关键字aqi查找到所需要的aqi指数并保存下来。