JSP实现字典根据对象值对所有key对象进行排序

分手后的思念是犯贱 2022-05-14 13:58 206阅读 0赞

# JSP实现字典根据对象值对所有key对象进行排序 #

## 01.排序要求分析 ##

##### 以下是原dic字典数据，由以下数据（可见图一红圈部分）可得到共有3个大key，space1、space2、space3, 3个大key里面分别对应两个子key，jgs 和 space\_time\_results，要求根据dic的次子key：space\_time\_results 中的所有Pvalue值大小从小到大排序，其中no即为排序结果对应的大小，别的参数不变，所属关系不变，输出结果如图二。 #####

\{“space1”:\{“jgs”:\[\],“space\_time\_results”:\[\]\},“space2”:\{“jgs”:\[\{“id”:15,“Unit”:“那邦镇”,“lei”:“医疗机构”,“E”:97.559,“N”:24.7542,"  
maptype":“GCJ-02”,“ok”:1\}\],“space\_time\_results”\[\{“no”:1,“location\_ids”:“1”,“c\_id”:1,“c\_r”:0,"  
TimeCluster":5,“CA”:1,“uA”:0.75,“LGLRA”:0.04755394943117175,“Pvalue”:0.619,“ok”:1\},\{  
“no”:2,“location\_ids”:“1”,“c\_id”:1,“c\_r”:0,“TimeCluster”:6,“CA”:61,“uA”:3.98515,“LGLRA”:111.0141,“Pvalue”:1.466870377E-103,“ok”:1\}\]\},“space3”:\{“jgs”:\[\{“id”:15,“Unit”:“那邦镇”,“lei”:“医疗机构”,“E”:97.559,“N”:24.7542,“maptype”:“GCJ-02”,“ok”:1\}\],"  
space\_time\_results":\[\{“no”:1,“location\_ids”:“1”,“c\_id”:1,“c\_r”:0,“TimeCluster”:5,“CA”:1,“uA”:0.75,“LGLRA”:0.047553  
94943117175,“Pvalue”:8.4670377E-106,“ok”:1\},\{“no”:2,“location\_ids”:“1”,“c\_id”:1,“c\_r”:0,“TimeCluster”:6,“CA”:61,“uA”:3.984  
630163304515,“LGLRA”:111.0157224293711,“Pvalue”:3.477E-103,“ok”:1\}\]\}\}

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM0NzM0MzAz_size_27_color_FFFFFF_t_70]  
图一 dic分析图  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM0NzM0MzAz_size_27_color_FFFFFF_t_70 1]  
图二 dic排序结果

## 02.排序完成代码分析 ##

（1）流程图分析：

Created with Raphaël 2.2.0取字典数据dic将字典放入数组中排序key，放入空字典function(a,b) \{return a-b\}赋值空序列结束

（2）代码实现

<html>
    <body>
    
    <script type="text/javascript">
    dic ={
         "space1":{
         "jgs":[],"space_time_results":[]},"space2":{
         "jgs":[{
         "id":15,"Unit":"那邦镇","lei":"医疗机构","E":97.559,"N":24.7542,"maptype":"GCJ-02","ok":1}],"space_time_results":[{
         "no":1,"location_ids":"1","c_id":1,"c_r":0,"TimeCluster":5,"CA":1,"uA":0.75,"LGLRA":0.04755394943117175,"Pvalue":0.619,"ok":1},{
         
    "no":2,"location_ids":"1","c_id":1,"c_r":0,"TimeCluster":6,"CA":61,"uA":3.98515,"LGLRA":111.0141,"Pvalue":1.466870377E-103,"ok":1}]},"space3":{
         "jgs":[{
         "id":15,"Unit":"那邦镇","lei":"医疗机构","E":97.559,"N":24.7542,"maptype":"GCJ-02","ok":1}],"space_time_results":[{
         "no":1,"location_ids":"1","c_id":1,"c_r":0,"TimeCluster":5,"CA":1,"uA":0.75,"LGLRA":0.04755394943117175,"Pvalue":8.4670377E-106,"ok":1},{
         "no":2,"location_ids":"1","c_id":1,"c_r":0,"TimeCluster":6,"CA":61,"uA":3.984630163304515,"LGLRA":111.0157224293711,"Pvalue":3.477E-103,"ok":1}]}};
    
    var arr = [];    //建立空数组
    var arr2 = {
         };   //建立空字典
    arr.push(dic);   //将原字典数据放入数组中
    // alert(JSON.stringify(arr));   测试
    
    for(var i=0;i<arr.length;i++){
            // 排序
      alert("arr[i]:"+JSON.stringify(arr[i]));
      for(var key in arr[i]){
             //arr[i][key]["space_time_results"] 取出子key,space_time_results
      for(var j=0;j<arr[i][key]["space_time_results"].length;j++){
           
             no = arr[i][key]["space_time_results"][j].no
             arr2[key+"-"+no] = arr[i][key]["space_time_results"][j];
        }
      }
    }
    
    var sdic=Object.keys(arr2).sort(function(a,b){
         return arr2[a]["Pvalue"]-arr2[b]["Pvalue"]}); 
    //用space_time_results中的Pvalue比较大小排序
    for(ki in sdic){
          
        var ki = parseInt(ki);
        var num = ki +1;
        arr2[sdic[ki]]["no"]=num;
    } 
      document.writeln(JSON.stringify(dic));
    </script>
    </body>
    </html>

## 03.实现结果 ##

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM0NzM0MzAz_size_27_color_FFFFFF_t_70 2]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM0NzM0MzAz_size_27_color_FFFFFF_t_70]: /images/20220504/0a56bc96f33543948f5a6311846c4fb9.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM0NzM0MzAz_size_27_color_FFFFFF_t_70 1]: /images/20220504/5dd68ef4d0a640058d5d341310f55367.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM0NzM0MzAz_size_27_color_FFFFFF_t_70 2]: /images/20220504/c5a5e6d2ab1043e0a3db886d57fb8ea7.png