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【Java 动态数据统计图】动态数据统计思路案例（动态，排序，数组）四（116）

news 2025/7/7 8:22:16

需求：：前端根据后端的返回数据：画统计图；

1.动态获取地域数据以及数据中的平均值，按照平均值降序排序；
说明：
X轴是动态的，有对应区域数据则展示；
X轴区域数据降序排序；
在这里插入图片描述

代码：

	@Overridepublic List<Map<String,Object>> getTimeData(HttpServletRequest request, Map<String, Object> paramMap) {List<Map<String,Object>> list = getCountData(request,paramMap);list = list.stream().filter(e -> (e.get("status").equals("关闭"))).collect(Collectors.toList());List<Map<String,Object>> resultList = new ArrayList<>();String[] reginArr = {"安徽","安顺","北京","北美","长春","长沙","成都","承德","大连","武汉"};int[] count = new int[reginArr.length];double[] processTimeCount = new double[reginArr.length];double[] processTimeAvg = new double[reginArr.length];for (int i = 0; i < list.size(); i++) {String processTime = String.valueOf(list.get(i).get("processTime"));String region = String.valueOf(list.get(i).get("region")).trim();if(!processTime.contains(".")){list.get(i).put("processTime","0.0");}String processTime2 = String.valueOf(list.get(i).get("processTime"));for (int j = 0; j < reginArr.length; j++) {if(region.equals(reginArr[j].trim())){count[j] = count[j] + 1;  // 统计次数processTimeCount[j] = processTimeCount[j] + Double.parseDouble(processTime2);  // 统计合并值}}}// 计算平均值for (int i = 0; i < processTimeCount.length; i++) {processTimeAvg[i] =  processTimeCount[i]/count[i];// double类型的数据当分母的数值趋近0的时候，返回来的数值就是一个NAN:if(Double.isNaN(processTimeAvg[i])){processTimeAvg[i] = 0.0;}}// 将数据封装集合for (int i = 0; i < reginArr.length; i++) {Map<String,Object> mapResult = new HashMap<>();String avg = String.valueOf(processTimeAvg[i]);mapResult.put("title",reginArr[i]);mapResult.put("value",avg.substring(0,avg.indexOf(".") +2));resultList.add(mapResult);}// 数据过滤List<Map<String,Object>> finalList = new ArrayList<>();// 过滤不需要的数据；for (int i = 0; i < resultList.size(); i++) {String value = String.valueOf(resultList.get(i).get("value"));if(!value.equals("0.0")){finalList.add(resultList.get(i));}}// 排序后最终输出集合：List<Map<String,Object>> finalList2= new ArrayList<>();Double[] valueSort = new Double[finalList.size()];String[] titleSort = new String[finalList.size()];// 用数组存储需要排序的元素；for (int i = 0; i < finalList.size(); i++) {valueSort[i] = Double.parseDouble(String.valueOf(finalList.get(i).get("value")));titleSort[i] = String.valueOf(finalList.get(i).get("title"));}// 多个数组排序；BubblSortUtils.bubbleSortDescMultipleDouble(valueSort,titleSort);// 根据排序结果封装List；for (int i = 0; i < valueSort.length; i++) {String ch = String.valueOf(titleSort[i]);for (int j = 0; j < finalList.size(); j++) {String value = String.valueOf(finalList.get(j).get("title"));if(ch.equals(value)){finalList2.add(finalList.get(j));}}}// 添加排序字段：sortValuefor (int i = 0; i < finalList2.size(); i++) {finalList2.get(i).put("sortValue",i+1);}return finalList2;}