结果集处理:区间分组数量相加
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | package com.hz.demo; import com.alibaba.fastjson.JSON; import com.google.common.collect.Lists; import com.google.common.collect.Maps; import org.apache.commons.collections4.MapUtils; import java.util.HashMap; import java.util.List; import java.util.Map; public class Demo4 { public static void main(String[] args) { List<Map<String,Object>> newData = Lists.newArrayList(); Map<String, Object> map1 = new HashMap<String, Object>(); map1.put( "vin" , "AAA" ); map1.put( "consumption" , 55.2 ); Map<String, Object> map2 = new HashMap<String, Object>(); map2.put( "vin" , "BBB" ); map2.put( "consumption" , 23.2 ); Map<String, Object> map6 = new HashMap<String, Object>(); map6.put( "vin" , "BBB" ); map6.put( "consumption" , 101.2 ); Map<String, Object> map7 = new HashMap<String, Object>(); map7.put( "vin" , "BBB" ); map7.put( "consumption" , 103.2 ); Map<String, Object> map8 = new HashMap<String, Object>(); map8.put( "vin" , "CCC" ); map8.put( "consumption" , 300.0 ); Map<String, Object> map4 = new HashMap<String, Object>(); map4.put( "vin" , "DDD" ); map4.put( "consumption" , 3.2 ); Map<String, Object> map5 = new HashMap<String, Object>(); map5.put( "vin" , "DDD" ); map5.put( "consumption" , 4.2 ); newData.add(map1); newData.add(map2); newData.add(map6); newData.add(map7); newData.add(map8); newData.add(map4); newData.add(map5); Map<String,Integer> rs = Maps.newLinkedHashMap(); Map<String, Object> maxData = newData.stream().max((Map<String, Object> d1, Map<String, Object> d2) -> MapUtils.getDouble(d1, "consumption" ) .compareTo(MapUtils.getDouble(d2, "consumption" ))).get(); int maxC = ( int )Math.ceil(MapUtils.getDouble(maxData, "consumption" ) / 10 ); for ( int j = 0 ; j < 10 ; j++){ int min = maxC * j ; int max = (j+ 1 ) * maxC; int count = 0 ; rs.put(min + "-" + max,count); for ( int i = 0 ; i < newData.size(); i++) { Map<String,Object> map = newData.get(i); Double consumption = MapUtils.getDouble(map, "consumption" ); if (consumption > min && consumption <= max){ count++; rs.put(min + "-" + max,count); } } } System.out.println(JSON.toJSONString(rs)); } } |
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
· 探究高空视频全景AR技术的实现原理
· 理解Rust引用及其生命周期标识(上)
· 浏览器原生「磁吸」效果!Anchor Positioning 锚点定位神器解析
· DeepSeek 开源周回顾「GitHub 热点速览」
· 物流快递公司核心技术能力-地址解析分单基础技术分享
· .NET 10首个预览版发布:重大改进与新特性概览!
· AI与.NET技术实操系列(二):开始使用ML.NET
· 单线程的Redis速度为什么快?