全国疫情统计可视化地图（3）

其他 2020-03-06 18:50:51 阅读次数: 0

       第三阶段是数据下钻，要求点击省可以下钻到各个地市的数据显示。

   1：首先，要显示相应的地图需要导入相应的js 上一篇文章中分享的链接同样包含各个省份的js  链接: https://pan.baidu.com/s/1MFt-0LqAUQXzpiI1qy-Q0w 提取码: q7y4。点击省可以跳转到地市，所以需要在 myChart.on中加一个跳转的语句。语句中加上时间和省份，用于查找。 

myChart.on('click', function (params) {
var url = "HebeiData.jsp?province="+params.name+"&time="+time;
window.location.href =url;
});

省级地图的绘制和前一阶段绘制过程相同。但是！有一个坑是 series属性配置中mapType 是汉字 如河北地图应为  mapType : '河北' 地图总是显示不出来的原因正在这，删删改改了好久，看了hebei.js的代码才发现，坑在这里。每个省份点击都可以进入到相应省份的数据。我以河北为例显示。若想全都显示的话，只需将所有省份的js导入，然后把mapType的值 设为 province即可。

<%@ page language="java" contentType="text/html; charset=UTF-8"
    pageEncoding="UTF-8"%>
<%@taglib uri="http://java.sun.com/jsp/jstl/core" prefix="c"%>
<%@page import="com.bean.Data" %>
<!DOCTYPE html>
<html>
<head>
<meta charset="ISO-8859-1">
<title>Insert title here</title>
</head>
<meta charset="UTF-8">
     <link type="text/css" rel="stylesheet" href="css/style.css">

    <script src="js/echarts.min.js"></script>
    <script src="js/jquery-3.4.1.min.js"></script>
    <script src="js/hebei.js"></script>
<title>显示</title>
    <style>
        *{margin:0;padding:0}
        html,body{
            width:100%;
            height:100%;
        }
        #main{
              width:600px;
              height:450px;
              margin: 150px auto;
              border:1px solid #ddd;
          }
        /*默认长宽比0.75*/
    </style>
</head>

<body >
<br>
<h1>疫情统计表</h1>
<%String Date=request.getParameter("time"); 
  request.setAttribute("time",Date); 
  String province=request.getParameter("province"); 
  request.setAttribute("province",province); 

%>
<div>


</div>
  <div id="main">
  
  </div>
  <script type="text/javascript">


    function randomValue() {
        return Math.round(Math.random()*1000);
    }
    var dt;
    var mydata = new Array(0);
    
    var time = "${time}";
    var province = "${province}";
    alert(province);
        $.ajax({
            url : "CityServlet",
            async : true,
            type : "POST",
            data : {
                "Province" : province,
                "time" : time,
                
            },
            dataType : "json",
            success : function(json) {
                
                
                
                for (var i = 1; i < json.length; i++) {
                    var d = {};
                    
                    d["name"] = json[i].City+'市';
                    d["value"] = json[i].Confirmed_num;
                    d["yisi_num"] = json[i].Yisi_num;
                    d["cured_num"] = json[i].Cured_num;
                    d["dead_num"] = json[i].Dead_num;
                    
                    mydata.push(d);
                }
                    

    
          var myChart = echarts.init(document.getElementById('main'));
            function randomValue() {
                return Math.round(Math.random()*1000);
            }
            var optionMap = {
                    backgroundColor : '#FFFFFF',
                    title : {
                        text : '河北疫情',
                        subtext : '',
                        x : 'center'
                    },
                    tooltip : {
                        formatter : function(params) {
                            return params.name + '<br/>' + '确诊人数 : '
                                    + params.value + '<br/>' + '死亡人数 : '
                                    + params['data'].dead_num + '<br/>' + '治愈人数 : '
                                    + params['data'].cured_num + '<br/>'+ '疑似患者人数 : '
                                    + params['data'].yisi_num;
                        }
                    },

                    //左侧小导航图标
                    visualMap: {
                        min: 0,
                        max: 50,
                        left: 'left',
                        top: 'bottom',
                        text: ['高','低'],//取值范围的文字
                        inRange: {
                            color: ['#e0ffff', '#006edd']//取值范围的颜色
                        },
                        show:true//图注
                    },
              

                    //配置属性
                    series : [ {
                        type : 'map',
                        mapType : '河北',
                        label : {
                            show : true
                        },
                        data : mydata,
                        

                    } ]
                };

 

        //使用制定的配置项和数据显示图表
        myChart.setOption(optionMap);
        myChart.on('click', function (params) {
            alert(params.name);
        });
 
        alert("成功！");
            },
            error : function() {
                alert("请求失败");
            },
       });
                   
  /*  setTimeout(function () {
        myChart.setOption({
            series : [
                {
                    name: '信息量',
                    type: 'map',
                    geoIndex: 0,
                    data:dataList
                }
            ]
        });
    },1000)*/

    
</script>
    

</body>
</html>
HeBeiData.jsp

  2：以为要点击相应省份显示相应的地图数据，所以dao层查询的时候。加上按照省份查询。

package com.dao;



import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.ArrayList;
import java.util.List;

import com.bean.*;
import com.jdbc.Util;


public class Dao {
    
    public List<Data> dlist(String sDate,String eDate) { // 查询所有信息

        String begin="";
        String []s=sDate.split("-");
        for(int i=0;i<s.length;i++)
            begin+=s[i].toString();
        
        String end="";
        String []e=eDate.split("-");
        for(int i=0;i<e.length;i++)
            end+=e[i].toString();
        
        int bg=Integer.valueOf(begin);
        int ed=Integer.valueOf(end);
        
        List<Data> list = new ArrayList<Data>(); // 创建集合
        Connection conn = Util.getConn();
        String sql = "select * from info "; // SQL查询语句

        try {

            PreparedStatement pst = conn.prepareStatement(sql);

            ResultSet rs = pst.executeQuery();
            
            Data data = null;
            
            while (rs.next()) {


                int id= rs.getInt("id");;
                
                String Province = rs.getString("Province");
                
                String Confirmed_num = rs.getString("Confirmed_num");
                
                String Yisi_num = rs.getString("Yisi_num");
                
                String Cured_num = rs.getString("Cured_num");
                
                String Dead_num = rs.getString("Dead_num");
                
                String Code = rs.getString("Code");
                
                String City = rs.getString("City");
                
                String Date=rs.getString("Date");
                
                String num="";
                String date=Date.substring(0, 10);
                String []d=date.split("-");
                for(int i=0;i<d.length;i++)
                    {
                        num+=d[i].toString();
                    }
                int k=Integer.valueOf(num);
                
                if(k>=bg&&k<=ed) {
                    data = new Data(id,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code);
                }
                list.add(data);

            }

            rs.close(); // 关闭

            pst.close(); // 关闭

        } catch (SQLException e1) {

            e1.printStackTrace(); // 抛出异常

        }

        return list; // 返回一个集合

    }
    public List<Data> list(String Date) { // 查询所有信息

        String begin="";
        String []s=Date.split("-");
        for(int i=0;i<s.length;i++)
            begin+=s[i].toString();
        int bg=Integer.valueOf(begin);
        
        List<Data> list = new ArrayList<Data>(); // 创建集合
        Connection conn = Util.getConn();
        String sql = "select * from info"; // SQL查询语句

        try {

            PreparedStatement pst = conn.prepareStatement(sql);

            ResultSet rs = pst.executeQuery();
            
            Data data = null;
            int index=1;
            while (rs.next()) {

                
                int id= rs.getInt("id");;
                
                String Province = rs.getString("Province");
                
                String Confirmed_num = rs.getString("Confirmed_num");
                
                String Yisi_num = rs.getString("Yisi_num");
                
                String Cured_num = rs.getString("Cured_num");
                
                String Dead_num = rs.getString("Dead_num");
                
                String Code = rs.getString("Code");
                
                String City = rs.getString("City");
                
                String num="";
                String date=Date.substring(0, 10);
                String []d=date.split("-");
                for(int i=0;i<d.length;i++)
                    {
                        num+=d[i].toString();
                    }
                int k=Integer.valueOf(num);
                
                if(k==bg&&index<=32) {
                    index++;
                    data = new Data(id,Date,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code);
                    list.add(data);
                }

            }

            rs.close(); // 关闭

            pst.close(); // 关闭

        } catch (SQLException e1) {

            e1.printStackTrace(); // 抛出异常

        }

        return list; // 返回一个集合

    }
    public List<Data> list(String Date,String Province) { // 查询所有信息

        String begin="";
        String []s=Date.split("-");
        for(int i=0;i<s.length;i++)
            begin+=s[i].toString();
        int bg=Integer.valueOf(begin);
        
        List<Data> list = new ArrayList<Data>(); // 创建集合
        Connection conn = Util.getConn();
        String sql = "select * from info1 where Province =?";

        try {

            PreparedStatement pst = conn.prepareStatement(sql);
            
            pst.setString(1,Province);
            
            ResultSet rs = pst.executeQuery();
            
            Data data = null;
            int index=1;
            while (rs.next()) {

                
                int id= rs.getInt("id");;
                
                
                String Confirmed_num = rs.getString("Confirmed_num");
                
                String Yisi_num = rs.getString("Yisi_num");
                
                String Cured_num = rs.getString("Cured_num");
                
                String Dead_num = rs.getString("Dead_num");
                
                String Code = rs.getString("Code");
                
                String City = rs.getString("City");
                
                String num="";
                String date=Date.substring(0, 10);
                String []d=date.split("-");
                for(int i=0;i<d.length;i++)
                    {
                        num+=d[i].toString();
                    }
                int k=Integer.valueOf(num);
                
                if(k==bg&&index<=32&&City!=null) {
                    index++;
                    data = new Data(id,Date,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code);
                    list.add(data);
                }

            }

            rs.close(); // 关闭

            pst.close(); // 关闭

        } catch (SQLException e1) {

            e1.printStackTrace(); // 抛出异常

        }

        return list; // 返回一个集合

    }



    public Data SelectAll() { // 根据ID进行查询
        String sql = "select * from info ";
        Connection conn = Util.getConn();
            Statement state = null;
            ResultSet rs = null;
            Data data = null;
            try {
                state = conn.createStatement();
                rs = state.executeQuery(sql);
                while (rs.next()) {

                    int id= rs.getInt("id");;
                    
                    String Province = rs.getString("Province");
                    
                    String Confirmed_num = rs.getString("Confirmed_num");
                    
                    String Yisi_num = rs.getString("Yisi_num");
                    
                    String Cured_num = rs.getString("Cured_num");
                    
                    String Dead_num = rs.getString("Dead_num");
                    
                    String Code = rs.getString("Code");
                    
                    String City = rs.getString("City");
                    
                    String Date=rs.getString("Date");
                    
                        data = new Data(id,Date,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code);
                }
            } catch (Exception e) {
                e.printStackTrace();
            } finally {
                Util.close(rs, state, conn);
            }
            return data;
        }
    
    
    
}
com.dao

 

  3：Servlet传值和前篇类似，将list转换为json。

package com.servlet;




import java.io.IOException;
import java.util.ArrayList;
import java.util.List;



import javax.servlet.ServletException;
import javax.servlet.annotation.WebServlet;
import javax.servlet.http.HttpServlet;

import javax.servlet.http.HttpServletRequest;

import javax.servlet.http.HttpServletResponse;


import com.dao.Dao;
import com.google.gson.Gson;
import com.bean.*;


@WebServlet("/CityServlet")
public class CityServlet extends HttpServlet { // 显示全部数据



    private static final long serialVersionUID = 1L;



    protected void doGet(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {

        this.doPost(req, resp);

    }



    protected void doPost(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {

        req.setCharacterEncoding("utf-8");
        resp.setContentType("text/html;charset=utf-8");
        String Province=req.getParameter("Province");
                                String Date=req.getParameter("time");
        Dao dao = new Dao();
        List<Data> list=null;
        System.out.println(Date);
        list=dao.list(Date,Province);
        
                               Gson gson = new Gson();
                               String json = gson.toJson(list);
                               System.out.println(json);
                               resp.getWriter().write(json);
    }

}
CityServlet

下面是运行截图：

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