JSONObject解析JSON資料
阿新 • • 發佈：2019-08-05
通過http請求獲取返回結果，結果型別為string，先轉換為json，
JSONObject jsonObject=JSONObject.parseObject(result);json資料結果如下：
{ "data": { "city": "深圳", "temphigh": "25", "templow": "19", "updatetime": "2017-11-04 13:23:00", "tempnow": "24", "sendibletemp": "27", "winddirect": "東北風", "windpower": "2級", "humidity": "42", "sunrise": "06:29", "sunset": "17:45", "weather": "多雲", "week": "星期六", "nl": null, "date": "2017-11-04", "index": [ { "name": "化妝指數", "level": "控油", "msg": "建議用露質面霜打底，水質無油粉底霜，透明粉餅，粉質胭脂。" }, { "name": "感冒指數", "level": "易發", "msg": "感冒容易發生，少去人群密集的場所有利於降低感冒的機率。" }, { "name": "洗車指數", "level": "不宜", "msg": "雨(雪)水和泥水會弄髒您的愛車，不適宜清洗車輛。" }, { "name": "穿衣指數", "level": "舒適", "msg": "白天溫度適中，但早晚涼，易穿脫的便攜外套很實用。" }, { "name": "紫外線強度指數", "level": "弱", "msg": "輻射較弱，塗擦SPF12-15、PA+護膚品。" }, { "name": "運動指數", "level": "不適宜", "msg": "受到陣雨天氣的影響，不宜在戶外運動。" } ], "pm25": { "aqi": 0, "co": 8, "o3": 42, "pm10": 63, "pm2_5": 64, "quality": "良", "so2": 4, "no2": 11, "updatetime": "2017-11-04 13:00:00" }, "daily": [ { "date": "2017-11-04", "week": "星期六", "sunrise": "06:29", "sunset": "17:45", "temphigh": "25", "templow": "19", "weather": "多雲" }, { "date": "2017-11-05", "week": "星期日", "sunrise": "06:29", "sunset": "17:45", "temphigh": "26", "templow": "19", "weather": "多雲" }, { "date": "2017-11-06", "week": "星期一", "sunrise": "06:29", "sunset": "17:45", "temphigh": "27", "templow": "20", "weather": "多雲" }, { "date": "2017-11-07", "week": "星期二", "sunrise": "06:29", "sunset": "17:45", "temphigh": "28", "templow": "21", "weather": "多雲" }, { "date": "2017-11-08", "week": "星期三", "sunrise": "06:29", "sunset": "17:45", "temphigh": "29", "templow": "22", "weather": "多雲" }, { "date": "2017-11-09", "week": "星期四", "sunrise": "06:29", "sunset": "17:45", "temphigh": "28", "templow": "22", "weather": "多雲" }, { "date": "2017-11-03", "week": "星期五", "sunrise": "06:29", "sunset": "17:45", "temphigh": "28", "templow": "18", "weather": "晴" } ] }, "status": 0, "msg": "ok" }
解析JSON
利用JSONString進行簡單解析
獲取如下內容，如何解析？
{ "data": { "city": "深圳", "temphigh": "25", "templow": "19", "updatetime": "2017-11-04 13:23:00", "tempnow": "24", "sendibletemp": "27", "winddirect": "東北風", "windpower": "2級", "humidity": "42", "sunrise": "06:29", "sunset": "17:45", "weather": "多雲", "week": "星期六", "nl": null, "date": "2017-11-04",
通過getJSONObject獲取到data下的資料。
JSONObject jsonData = jsonObject.getJSONObject("data");此時，jsonData中資料為
{ "city": "深圳", "temphigh": "25", "templow": "19", "updatetime": "2017-11-04 13:23:00", "tempnow": "24", "sendibletemp": "27", "winddirect": "東北風", "windpower": "2級", "humidity": "42", "sunrise": "06:29", "sunset": "17:45", "weather": "多雲", "week": "星期六", "nl": null, "date": "2017-11-04" }
然後通過getString進行讀值即可
//解析天氣
String jsonTemplow = jsonData.getString("templow");
String jsonTempHigh = jsonData.getString("temphigh");
String jsonWeather = jsonData.getString("weather");
String jsonTempnow = jsonData.getString("tempnow");
String jsonWinddirect = jsonData.getString("winddirect");
String jsonWindpower = jsonData.getString("windpower");
String jsonHumidity = jsonData.getString("humidity");利用JSONArray進行復雜解析
獲取這部分資料
"index": [
{
"name": "化妝指數",
"level": "控油",
"msg": "建議用露質面霜打底，水質無油粉底霜，透明粉餅，粉質胭脂。"
},
{
"name": "感冒指數",
"level": "易發",
"msg": "感冒容易發生，少去人群密集的場所有利於降低感冒的機率。"
},
{
"name": "洗車指數",
"level": "不宜",
"msg": "雨(雪)水和泥水會弄髒您的愛車，不適宜清洗車輛。"
},
{
"name": "穿衣指數",
"level": "舒適",
"msg": "白天溫度適中，但早晚涼，易穿脫的便攜外套很實用。"
},
{
"name": "紫外線強度指數",
"level": "弱",
"msg": "輻射較弱，塗擦SPF12-15、PA+護膚品。"
},
{
"name": "運動指數",
"level": "不適宜",
"msg": "受到陣雨天氣的影響，不宜在戶外運動。"
}
],
"pm25": {
"aqi": 0,
"co": 8,
"o3": 42,
"pm10": 63,
"pm2_5": 64,
"quality": "良",
"so2": 4,
"no2": 11,
"updatetime": "2017-11-04 13:00:00"
},
"daily": [
{
"date": "2017-11-04",
"week": "星期六",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "25",
"templow": "19",
"weather": "多雲"
},
{
"date": "2017-11-05",
"week": "星期日",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "26",
"templow": "19",
"weather": "多雲"
},
{
"date": "2017-11-06",
"week": "星期一",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "27",
"templow": "20",
"weather": "多雲"
},
{
"date": "2017-11-07",
"week": "星期二",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "28",
"templow": "21",
"weather": "多雲"
},
{
"date": "2017-11-08",
"week": "星期三",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "29",
"templow": "22",
"weather": "多雲"
},
{
"date": "2017-11-09",
"week": "星期四",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "28",
"templow": "22",
"weather": "多雲"
},
{
"date": "2017-11-03",
"week": "星期五",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "28",
"templow": "18",
"weather": "晴"
}
]通過getJSONObject獲取到data下的資料。然後jsonArray通過getJSONArray獲得index下的資料
//解析資料
JSONObject jsonObject = new JSONObject(t);
JSONObject jsonData = jsonObject.getJSONObject("data");
JSONArray jsonIndex =jsonData.getJSONArray("index");
JSONArray jsonDaily =jsonData.getJSONArray("daily");方法一
此時，jsonDaily中資料為
[
{
"date": "2017-11-04",
"week": "星期六",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "25",
"templow": "19",
"weather": "多雲"
},
{
"date": "2017-11-05",
"week": "星期日",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "26",
"templow": "19",
"weather": "多雲"
},
{
"date": "2017-11-06",
"week": "星期一",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "27",
"templow": "20",
"weather": "多雲"
},
{
"date": "2017-11-07",
"week": "星期二",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "28",
"templow": "21",
"weather": "多雲"
},
{
"date": "2017-11-08",
"week": "星期三",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "29",
"templow": "22",
"weather": "多雲"
},
{
"date": "2017-11-09",
"week": "星期四",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "28",
"templow": "22",
"weather": "多雲"
},
{
"date": "2017-11-03",
"week": "星期五",
"sunrise": "06:29",
"sunset": "17:45",
"temphigh": "28",
"templow": "18",
"weather": "晴"
}
]把jsonDaily中按分類進行解析，分為幾個ArrayList<>,dates、weeks、weathers等，然後進行for迴圈。
List<String> dates = new ArrayList<>();
List<String> weeks = new ArrayList<>();
List<String> weathers = new ArrayList<>();
int j=1;
for (int i=0;i<jsonArray.length();i++){
JSONObject partDaily = jsonArray.getJSONObject(i);
JSONString date = partDaily.getString("date");
dates.add(date);
JSONString week = partDaily.getString("week");
weeks.add(week);
JSONString weather = partDaily.getString("weather");
weathers.add(weather);
}方法二
此時，jsonIndex中資料為
[
{
"name": "化妝指數",
"level": "控油",
"msg": "建議用露質面霜打底，水質無油粉底霜，透明粉餅，粉質胭脂。"
},
{
"name": "感冒指數",
"level": "易發",
"msg": "感冒容易發生，少去人群密集的場所有利於降低感冒的機率。"
},
{
"name": "洗車指數",
"level": "不宜",
"msg": "雨(雪)水和泥水會弄髒您的愛車，不適宜清洗車輛。"
},
{
"name": "穿衣指數",
"level": "舒適",
"msg": "白天溫度適中，但早晚涼，易穿脫的便攜外套很實用。"
},
{
"name": "紫外線強度指數",
"level": "弱",
"msg": "輻射較弱，塗擦SPF12-15、PA+護膚品。"
},
{
"name": "運動指數",
"level": "不適宜",
"msg": "受到陣雨天氣的影響，不宜在戶外運動。"
}
]jsonArray為二維陣列，我們通過兩個巢狀迴圈進行遍歷。首先，外層根據陣列長度進行for迴圈遍歷；然後內層使用迭代器進行遍歷。
String[] jsonIndex = new String[20];//陣列長度宣告為20確保夠用
int j=1;
for (int i=0;i<jsonArray.length();i++){
JSONObject partIndex = jsonArray.getJSONObject(i);
Iterator iterator = partIndex.keys();
String key;
while(iterator.hasNext()){
//hasNext方法，只是判斷下一個元素的有無，並不移動指標
key = (String) iterator.next();//next方法，向下移動指標，並且返回指標指向的元素，如果指標指向的記憶體中沒有元素，會報異常
jsonIndex[j] = partIndex.getString(key);
j++;
}
}這樣此指數資料就被我們成功解析，然後存入jsonIndex陣列