Android实践之简易天气（一）
学习了好久的安卓，作者：fnhfire_7030把各个组件基本都学完了，就想自己做个软件巩固一下学习的知识，顺便体验一下做项目的感觉，好了，废话不多说，下面开始进行软件的制作。
首先，要做天气软件，当然需要获取天气数据了，我用的是百度的API，这里顺便附上链接百度天气api，我下载的是SDK，这样就简化了许多。具体SDK的使用方法，下载的压缩包里面有，这里就不再赘述了，如果不会的话可以留言。
获取json数据
这里的获取的天气数据都是json形式，所以要进行json数据解析，你可以直接选择json解析，也可以使用gson和fastgson进行解析发，这里我使用的是直接json解析。
我们现在来看一下，从服务器返回的json数据。作者：fnhfire_7030
{“HeWeather data service 3.0”:[{“aqi”:{“city”:{“aqi”:”82”,”pm10”:”83”,”pm25”:”60”}},”basic”:{“city”:”安阳”,”cnty”:”中国”,”id”:”CN101180201”,”lat”:”36.093000”,”lon”:”114.341000”,”update”:{“loc”:”2016-05-14 20:51”,”utc”:”2016-05-14 12:51”}},”daily_forecast”:[{“astro”:{“sr”:”05:17”,”ss”:”19:20”},”cond”:{“code_d”:”306”,”code_n”:”305”,”txt_d”:”中雨”,”txt_n”:”小雨”},”date”:”2016-05-14”,”hum”:”88”,”pcpn”:”18.0”,”pop”:”98”,”pres”:”1018”,”tmp”:{“max”:”16”,”min”:”11”},”vis”:”7”,”wind”:{“deg”:”15”,”dir”:”西北风”,”sc”:”微风”,”spd”:”2”}},{“astro”:{“sr”:”05:16”,”ss”:”19:21”},”cond”:{“code_d”:”100”,”code_n”:”100”,”txt_d”:”晴”,”txt_n”:”晴”},”date”:”2016-05-15”,”hum”:”13”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1018”,”tmp”:{“max”:”24”,”min”:”11”},”vis”:”10”,”wind”:{“deg”:”15”,”dir”:”西南风”,”sc”:”微风”,”spd”:”0”}},{“astro”:{“sr”:”05:15”,”ss”:”19:22”},”cond”:{“code_d”:”100”,”code_n”:”100”,”txt_d”:”晴”,”txt_n”:”晴”},”date”:”2016-05-16”,”hum”:”13”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1013”,”tmp”:{“max”:”29”,”min”:”13”},”vis”:”10”,”wind”:{“deg”:”194”,”dir”:”南风”,”sc”:”微风”,”spd”:”7”}},{“astro”:{“sr”:”05:14”,”ss”:”19:23”},”cond”:{“code_d”:”100”,”code_n”:”101”,”txt_d”:”晴”,”txt_n”:”多云”},”date”:”2016-05-17”,”hum”:”19”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1009”,”tmp”:{“max”:”29”,”min”:”16”},”vis”:”10”,”wind”:{“deg”:”195”,”dir”:”南风”,”sc”:”微风”,”spd”:”4”}},{“astro”:{“sr”:”05:14”,”ss”:”19:24”},”cond”:{“code_d”:”101”,”code_n”:”101”,”txt_d”:”多云”,”txt_n”:”多云”},”date”:”2016-05-18”,”hum”:”24”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1012”,”tmp”:{“max”:”27”,”min”:”15”},”vis”:”10”,”wind”:{“deg”:”165”,”dir”:”东南风”,”sc”:”微风”,”spd”:”6”}},{“astro”:{“sr”:”05:13”,”ss”:”19:24”},”cond”:{“code_d”:”101”,”code_n”:”305”,”txt_d”:”多云”,”txt_n”:”小雨”},”date”:”2016-05-19”,”hum”:”19”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1015”,”tmp”:{“max”:”27”,”min”:”16”},”vis”:”10”,”wind”:{“deg”:”126”,”dir”:”无持续风向”,”sc”:”微风”,”spd”:”5”}},{“astro”:{“sr”:”05:12”,”ss”:”19:25”},”cond”:{“code_d”:”305”,”code_n”:”101”,”txt_d”:”小雨”,”txt_n”:”多云”},”date”:”2016-05-20”,”hum”:”15”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1019”,”tmp”:{“max”:”23”,”min”:”16”},”vis”:”10”,”wind”:{“deg”:”99”,”dir”:”无持续风向”,”sc”:”微风”,”spd”:”5”}}],”hourly_forecast”:[{“date”:”2016-05-14 22:00”,”hum”:”91”,”pop”:”93”,”pres”:”1018”,”tmp”:”14”,”wind”:{“deg”:”264”,”dir”:”西风”,”sc”:”微风”,”spd”:”5”}}],”now”:{“cond”:{“code”:”300”,”txt”:”阵雨”},”fl”:”15”,”hum”:”88”,”pcpn”:”.2”,”pres”:”1018”,”tmp”:”13”,”vis”:”7”,”wind”:{“deg”:”343”,”dir”:”西南风”,”sc”:”4-5”,”spd”:”19”}},”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”:”较易发”,”txt”:”昼夜温差较大，较易发生感冒，请适当增减衣服。体质较弱的朋友请注意防护。”},”sport”:{“brf”:”较适宜”,”txt”:”天气较好，但风力较大，推荐您进行室内运动，若在户外运动请注意防风。”},”trav”:{“brf”:”适宜”,”txt”:”天气较好，风稍大，但温度适宜，是个好天气哦。适宜旅游，您可以尽情地享受大自然的无限风光。”},”uv”:{“brf”:”中等”,”txt”:”属中等强度紫外线辐射天气，外出时建议涂擦SPF高于15、PA+的防晒护肤品，戴帽子、太阳镜。”}}},{“basic”:{“city”:”Anyang”,”cnty”:”Korea”,”id”:”KR1846898”,”lat”:”37.392502”,”lon”:”126.926941”,”update”:{“loc”:”2016-05-14 21:00”,”utc”:”2016-05-14 12:00”}},”daily_forecast”:[{“astro”:{“sr”:”05:24”,”ss”:”19:34”},”cond”:{“code_d”:”100”,”code_n”:”103”,”txt_d”:”Sunny/Clear”,”txt_n”:”Partly Cloudy”},”date”:”2016-05-14”,”hum”:”54”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1025”,”tmp”:{“max”:”23”,”min”:”14”},”vis”:”10”,”wind”:{“deg”:”127”,”dir”:”SE”,”sc”:”1-2”,”spd”:”13”}},{“astro”:{“sr”:”05:24”,”ss”:”19:35”},”cond”:{“code_d”:”100”,”code_n”:”306”,”txt_d”:”Sunny/Clear”,”txt_n”:”Moderate Rain”},”date”:”2016-05-15”,”hum”:”68”,”pcpn”:”23.5”,”pop”:”88”,”pres”:”1016”,”tmp”:{“max”:”22”,”min”:”11”},”vis”:”10”,”wind”:{“deg”:”134”,”dir”:”SE”,”sc”:”1-2”,”spd”:”13”}},{“astro”:{“sr”:”05:23”,”ss”:”19:36”},”cond”:{“code_d”:”100”,”code_n”:”100”,”txt_d”:”Sunny/Clear”,”txt_n”:”Sunny/Clear”},”date”:”2016-05-16”,”hum”:”69”,”pcpn”:”8.9”,”pop”:”84”,”pres”:”1008”,”tmp”:{“max”:”20”,”min”:”16”},”vis”:”10”,”wind”:{“deg”:”325”,”dir”:”NW”,”sc”:”1-2”,”spd”:”13”}},{“astro”:{“sr”:”05:22”,”ss”:”19:36”},”cond”:{“code_d”:”100”,”code_n”:”100”,”txt_d”:”Sunny/Clear”,”txt_n”:”Sunny/Clear”},”date”:”2016-05-17”,”hum”:”57”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1016”,”tmp”:{“max”:”24”,”min”:”13”},”vis”:”10”,”wind”:{“deg”:”190”,”dir”:”S”,”sc”:”1-2”,”spd”:”13”}},{“astro”:{“sr”:”05:21”,”ss”:”19:37”},”cond”:{“code_d”:”100”,”code_n”:”103”,”txt_d”:”Sunny/Clear”,”txt_n”:”Partly Cloudy”},”date”:”2016-05-18”,”hum”:”50”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1019”,”tmp”:{“max”:”26”,”min”:”16”},”vis”:”10”,”wind”:{“deg”:”1”,”dir”:”N”,”sc”:”1-2”,”spd”:”13”}},{“astro”:{“sr”:”05:20”,”ss”:”19:38”},”cond”:{“code_d”:”103”,”code_n”:”100”,”txt_d”:”Partly Cloudy”,”txt_n”:”Sunny/Clear”},”date”:”2016-05-19”,”hum”:”57”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1021”,”tmp”:{“max”:”30”,”min”:”21”},”vis”:”10”,”wind”:{“deg”:”55”,”dir”:”NE”,”sc”:”1-2”,”spd”:”13”}},{“astro”:{“sr”:”05:20”,”ss”:”19:39”},”cond”:{“code_d”:”100”,”code_n”:”100”,”txt_d”:”Sunny/Clear”,”txt_n”:”Sunny/Clear”},”date”:”2016-05-20”,”hum”:”52”,”pcpn”:”0.0”,”pop”:”0”,”pres”:”1022”,”tmp”:{“max”:”31”,”min”:”21”},”vis”:”10”,”wind”:{“deg”:”34”,”dir”:”NE”,”sc”:”1-2”,”spd”:”13”}}],”hourly_forecast”:[{“date”:”2016-05-14 22:00”,”hum”:”76”,”pop”:”0”,”pres”:”1021”,”tmp”:”15”,”wind”:{“deg”:”264”,”dir”:”W”,”sc”:”1-2”,”spd”:”4”}}],”now”:{“cond”:{“code”:”103”,”txt”:”Partly Cloudy”},”fl”:”24”,”hum”:”46”,”pcpn”:”0.0”,”pres”:”1018”,”tmp”:”22”,”vis”:”10”,”wind”:{“deg”:”300”,”dir”:”WNW”,”sc”:”1-2”,”spd”:”13”}},”status”:”ok”}]}
是不是感觉特别复杂，所以呢你要是进行全部解析，还是推荐你用gson或fastgson的方式进行解析。Android studio里面有gson插件，使用起来也比较方便，不过要注意像这种“HeWeather data service 3.0” 一定要没有空格才能利用Android studio中的gson插件生成实体类，不然就会提示解析错误。
定义实体类
这里我只解析我要用到的数据，既然要解析，肯定需要一个实体类了，我定义的实体类内容如下：作者：fnhfire_7030
package com.baidu.apistore.sdk.bena; import java.util.List; /** * Created by xiaohui on 2016/5/15. */ public class WeatherBean { private List<OneDayWeatherInfs> mOneDayWeatherInfs; private int now; private int aqi; private int pm10; private int pm25; private String city; private String cond_txt; private String cnty; private String comfBrf; private String comfTxt; private String cwBrf; private String cwTxt; private String drsgBrf; private String drsgTxt; private String fluBrf; private String fluTxt; private String sportBrf; private String sportTxt; private String travBrf; private String travTxt; private String uvBrf; private String uvTxt; public WeatherBean() { } public WeatherBean(int aqi, String city, String cnty, String comfBrf, String comfTxt, String cond_txt, String cwBrf, String cwTxt, String drsgBrf, String drsgTxt, String fluBrf, String fluTxt, List<OneDayWeatherInfs> oneDayWeatherInfs, int now, int pm10, int pm25, String sportBrf, String sportTxt, String travBrf, String travTxt, String uvBrf, String uvTxt) { this.aqi = aqi; this.city = city; this.cnty = cnty; this.comfBrf = comfBrf; this.comfTxt = comfTxt; this.cond_txt = cond_txt; this.cwBrf = cwBrf; this.cwTxt = cwTxt; this.drsgBrf = drsgBrf; this.drsgTxt = drsgTxt; this.fluBrf = fluBrf; this.fluTxt = fluTxt; mOneDayWeatherInfs = oneDayWeatherInfs; this.now = now; this.pm10 = pm10; this.pm25 = pm25; this.sportBrf = sportBrf; this.sportTxt = sportTxt; this.travBrf = travBrf; this.travTxt = travTxt; this.uvBrf = uvBrf; this.uvTxt = uvTxt; } public int getAqi() { return aqi; } public void setAqi(int aqi) { this.aqi = aqi; } public String getCity() { return city; } public void setCity(String city) { this.city = city; } public String getCnty() { return cnty; } public void setCnty(String cnty) { this.cnty = cnty; } public String getComfBrf() { return comfBrf; } public void setComfBrf(String comfBrf) { this.comfBrf = comfBrf; } public String getComfTxt() { return comfTxt; } public void setComfTxt(String comfTxt) { this.comfTxt = comfTxt; } public String getCond_txt() { return cond_txt; } public void setCond_txt(String cond_txt) { this.cond_txt = cond_txt; } public String getCwBrf() { return cwBrf; } public void setCwBrf(String cwBrf) { this.cwBrf = cwBrf; } public String getCwTxt() { return cwTxt; } public void setCwTxt(String cwTxt) { this.cwTxt = cwTxt; } public String getDrsgBrf() { return drsgBrf; } public void setDrsgBrf(String drsgBrf) { this.drsgBrf = drsgBrf; } public String getDrsgTxt() { return drsgTxt; } public void setDrsgTxt(String drsgTxt) { this.drsgTxt = drsgTxt; } public String getFluBrf() { return fluBrf; } public void setFluBrf(String fluBrf) { this.fluBrf = fluBrf; } public String getFluTxt() { return fluTxt; } public void setFluTxt(String fluTxt) { this.fluTxt = fluTxt; } public List<OneDayWeatherInfs> getOneDayWeatherInfs() { return mOneDayWeatherInfs; } public void setOneDayWeatherInfs(List<OneDayWeatherInfs> oneDayWeatherInfs) { mOneDayWeatherInfs = oneDayWeatherInfs; } public int getNow() { return now; } public void setNow(int now) { this.now = now; } public int getPm10() { return pm10; } public void setPm10(int pm10) { this.pm10 = pm10; } public int getPm25() { return pm25; } public void setPm25(int pm25) { this.pm25 = pm25; } public String getSportBrf() { return sportBrf; } public void setSportBrf(String sportBrf) { this.sportBrf = sportBrf; } public String getSportTxt() { return sportTxt; } public void setSportTxt(String sportTxt) { this.sportTxt = sportTxt; } public String getTravBrf() { return travBrf; } public void setTravBrf(String travBrf) { this.travBrf = travBrf; } public String getTravTxt() { return travTxt; } public void setTravTxt(String travTxt) { this.travTxt = travTxt; } public String getUvBrf() { return uvBrf; } public void setUvBrf(String uvBrf) { this.uvBrf = uvBrf; } public String getUvTxt() { return uvTxt; } public void setUvTxt(String uvTxt) { this.uvTxt = uvTxt; } @Override public String toString() { return "WeatherBean{" + "aqi=" + aqi + ", mOneDayWeatherInfs=" + mOneDayWeatherInfs + ", now=" + now + ", pm10=" + pm10 + ", pm25=" + pm25 + ", city='" + city + '\'' + ", cond_txt='" + cond_txt + '\'' + ", cnty='" + cnty + '\'' + ", comfBrf='" + comfBrf + '\'' + ", comfTxt='" + comfTxt + '\'' + ", cwBrf='" + cwBrf + '\'' + ", cwTxt='" + cwTxt + '\'' + ", drsgBrf='" + drsgBrf + '\'' + ", drsgTxt='" + drsgTxt + '\'' + ", fluBrf='" + fluBrf + '\'' + ", fluTxt='" + fluTxt + '\'' + ", sportBrf='" + sportBrf + '\'' + ", sportTxt='" + sportTxt + '\'' + ", travBrf='" + travBrf + '\'' + ", travTxt='" + travTxt + '\'' + ", uvBrf='" + uvBrf + '\'' + ", uvTxt='" + uvTxt + '\'' + '}'; } }
我们会发现里面List 的泛型是OneDayWeatherInfs，所以还需要一个OneDayWeatherInfs 类，其内容如下：
package com.baidu.apistore.sdk.bena; /** * Created by xiaohui on 2016/5/15. */ public class OneDayWeatherInfs { private String condD; private String condN; private String date; private String windDir; private String windSc; private String windSpd; private int tmpMax; private int tmpMin; public OneDayWeatherInfs() { } public OneDayWeatherInfs(String condD, String condN, String date, int tmpMax, int tmpMin, String windDir, String windSc, String windSpd) { this.condD = condD; this.condN = condN; this.date = date; this.tmpMax = tmpMax; this.tmpMin = tmpMin; this.windDir = windDir; this.windSc = windSc; this.windSpd = windSpd; } public String getCondD() { return condD; } public void setCondD(String condD) { this.condD = condD; } public String getCondN() { return condN; } public void setCondN(String condN) { this.condN = condN; } public String getDate() { return date; } public void setDate(String date) { this.date = date; } public int getTmpMax() { return tmpMax; } public void setTmpMax(int tmpMax) { this.tmpMax = tmpMax; } public int getTmpMin() { return tmpMin; } public void setTmpMin(int tmpMin) { this.tmpMin = tmpMin; } public String getWindDir() { return windDir; } public void setWindDir(String windDir) { this.windDir = windDir; } public String getWindSc() { return windSc; } public void setWindSc(String windSc) { this.windSc = windSc; } public String getWindSpd() { return windSpd; } public void setWindSpd(String windSpd) { this.windSpd = windSpd; } @Override public String toString() { return "OneDayWeatherInfs{" + "condD='" + condD + '\'' + ", condN='" + condN + '\'' + ", date='" + date + '\'' + ", windDir='" + windDir + '\'' + ", windSc='" + windSc + '\'' + ", windSpd='" + windSpd + '\'' + ", tmpMax=" + tmpMax + ", tmpMin=" + tmpMin + '}'; } }
解析json数据
好了实体类已经写好，下面就要进行json解析了，解析json的类如下：
package com.baidu.apistore.sdk.prase; import com.baidu.apistore.sdk.bena.OneDayWeatherInfs; import com.baidu.apistore.sdk.bena.WeatherBean; import org.json.JSONArray; import org.json.JSONException; import org.json.JSONObject; import java.util.ArrayList; import java.util.List; /** * Created by xiaohui on 2016/5/15. */ public class Parse { public Parse() { } public static WeatherBean resolveWeatherInf(String strPar) { WeatherBean weatherBean = new WeatherBean(); try { JSONObject dataOfJson = new JSONObject(strPar); JSONArray jsonArray = dataOfJson.getJSONArray("HeWeather data service 3.0"); //空气质量解析 JSONObject jsonArray0 = jsonArray.getJSONObject(0); JSONObject aqi = jsonArray0.getJSONObject("aqi"); JSONObject city = aqi.getJSONObject("city"); weatherBean.setAqi(city.getInt("aqi")); weatherBean.setPm10(city.getInt("pm10")); weatherBean.setPm25(city.getInt("pm25")); JSONObject basic = jsonArray0.getJSONObject("basic"); weatherBean.setCity(basic.getString("city")); weatherBean.setCnty(basic.getString("cnty")); //当前温度 JSONObject now = jsonArray0.getJSONObject("now"); JSONObject nowCond = now.getJSONObject("cond"); weatherBean.setNow(now.getInt("tmp")); weatherBean.setCond_txt(nowCond.getString("txt")); //连续七天的天气数据解析 List<OneDayWeatherInfs> list = new ArrayList<>(); JSONArray daily_forecast = jsonArray0.getJSONArray("daily_forecast"); for (int i = 0; i < 7; i++) { OneDayWeatherInfs oneDayWeatherInfs = new OneDayWeatherInfs(); JSONObject oneDayWeather = daily_forecast.getJSONObject(i); JSONObject cond = oneDayWeather.getJSONObject("cond"); JSONObject temp = oneDayWeather.getJSONObject("tmp"); JSONObject wind = oneDayWeather.getJSONObject("wind"); oneDayWeatherInfs.setWindDir(wind.getString("dir")); oneDayWeatherInfs.setWindSc(wind.getString("sc")); oneDayWeatherInfs.setWindSpd(wind.getString("spd")); oneDayWeatherInfs.setTmpMax(temp.getInt("max")); oneDayWeatherInfs.setTmpMin(temp.getInt("min")); oneDayWeatherInfs.setCondD(cond.getString("txt_d")); oneDayWeatherInfs.setCondN(cond.getString("txt_n")); oneDayWeatherInfs.setDate(oneDayWeather.getString("date")); list.add(oneDayWeatherInfs); } weatherBean.setOneDayWeatherInfs(list); //舒适度指数解析 JSONObject suggesttion = jsonArray0.getJSONObject("suggestion"); JSONObject comf = suggesttion.getJSONObject("comf"); weatherBean.setComfBrf(comf.getString("brf")); weatherBean.setComfTxt(comf.getString("txt")); JSONObject cw = suggesttion.getJSONObject("cw"); weatherBean.setCwBrf(cw.getString("brf")); weatherBean.setCwTxt(cw.getString("txt")); JSONObject drsg = suggesttion.getJSONObject("drsg"); weatherBean.setDrsgBrf(drsg.getString("brf")); weatherBean.setDrsgTxt(drsg.getString("txt")); JSONObject flu = suggesttion.getJSONObject("flu"); weatherBean.setFluBrf(flu.getString("brf")); weatherBean.setFluTxt(flu.getString("txt")); JSONObject sport = suggesttion.getJSONObject("sport"); weatherBean.setSportBrf(sport.getString("brf")); weatherBean.setSportTxt(sport.getString("txt")); JSONObject trav = suggesttion.getJSONObject("trav"); weatherBean.setTravBrf(trav.getString("brf")); weatherBean.setTravTxt(trav.getString("txt")); JSONObject uv = suggesttion.getJSONObject("uv"); weatherBean.setUvBrf(uv.getString("brf")); weatherBean.setUvTxt(uv.getString("txt")); } catch (JSONException e) { e.printStackTrace(); } return weatherBean; } }
上面就是进行json数据解析的类，然后就是解析服务器返回来的数据了，具体内容如下：
/** * 这里的apiTest（）方法是百度SDK自带的，返回的是json数据， * 我们只要在onSuccess方法里面添加解析json数据的方法就好了。 */ private void apiTest() { final Parameters para = new Parameters(); para.put("city", "安阳"); ApiStoreSDK.execute("http://apis.baidu.com/heweather/weather/free", ApiStoreSDK.GET, para, new ApiCallBack() { @Override public void onSuccess(int status, String responseString) { Log.i("sdkdemo", "onSuccess"); Log.i("sdkdemo", "responseString" + responseString); WeatherBean weatherBean = null; Parse parse = new Parse(); weatherBean = parse.resolveWeatherInf(responseString); } @Override public void onComplete() { Log.i("sdkdemo", "onComplete"); } @Override public void onError(int status, String responseString, Exception e) { Log.i("sdkdemo", "onError, status: " + status); Log.i("sdkdemo", "errMsg: " + (e == null ? "" : e.getMessage())); Toast.makeText(MainActivity.this, "" + getStackTrace(e), Toast.LENGTH_SHORT).show(); } }); }
解析出来的数据如下
05-25 20:10:02.121 5162-5162/com.baidu.apistore.sdk I/fnhFire: weatherBean—>WeatherBean{aqi=51, mOneDayWeatherInfs=[OneDayWeatherInfs{condD=’晴’, condN=’阴’, date=’2016-05-25’, windDir=’西北风’, windSc=’3-4’, windSpd=’16’, tmpMax=33, tmpMin=18}, OneDayWeatherInfs{condD=’多云’, condN=’多云’, date=’2016-05-26’, windDir=’南风’, windSc=’微风’, windSpd=’2’, tmpMax=29, tmpMin=18}, OneDayWeatherInfs{condD=’小雨’, condN=’小雨’, date=’2016-05-27’, windDir=’南风’, windSc=’微风’, windSpd=’10’, tmpMax=23, tmpMin=15}, OneDayWeatherInfs{condD=’多云’, condN=’多云’, date=’2016-05-28’, windDir=’南风’, windSc=’微风’, windSpd=’8’, tmpMax=29, tmpMin=17}, OneDayWeatherInfs{condD=’多云’, condN=’多云’, date=’2016-05-29’, windDir=’东北风’, windSc=’微风’, windSpd=’7’, tmpMax=32, tmpMin=19}, OneDayWeatherInfs{condD=’多云’, condN=’阴’, date=’2016-05-30’, windDir=’无持续风向’, windSc=’微风’, windSpd=’7’, tmpMax=33, tmpMin=20}, OneDayWeatherInfs{condD=’小雨’, condN=’小雨’, date=’2016-05-31’, windDir=’无持续风向’, windSc=’微风’, windSpd=’5’, tmpMax=29, tmpMin=20}], now=23, pm10=50, pm25=11, city=’安阳’, cond_txt=’多云’, cnty=’中国’, comfBrf=’暂缺’, comfTxt=’暂缺’, cwBrf=’较适宜’, cwTxt=’较适宜洗车，未来一天无雨，风力较小，擦洗一新的汽车至少能保持一天。’, drsgBrf=’暂缺’, drsgTxt=’暂缺’, fluBrf=’暂缺’, fluTxt=’暂缺’, sportBrf=’暂缺’, sportTxt=’暂缺’, travBrf=’暂缺’, travTxt=’暂缺’, uvBrf=’暂缺’, uvTxt=’暂缺’}
额(⊙o⊙)…，也不知道怎么回事，在写这篇博客的时候，上面的好多数据都出现了暂缺，我能保证在这以前肯定是可以的。就先这样吧，应该是百度API发神经了，好了，到这里我们的json数据解析方面已经搞定了，下篇就是界面设计和将解析的数据放在界面上了
