利用eChart绘制网页图表
首先，最好的教程在这里：eCchart
eChart所需JS：
页面代码如下：
一、图表
<!DOCTYPE html>
<html>
<head>
<title>详情</title>
<t:base type="jquery,easyui,tools,DatePicker"></t:base>
<style type="text/css">
#lightCattle{
position: absolute;
top: 390px;
}
</style>
<script type="text/javascript" src="echarts.min.js"></script> </head>
<body style="overflow-y: auto; overflow-x: hidden;width: 100%">
<div id="lightCattle">
时间选择：<t:dictSelect id="date" field="date" type="list" typeGroupCode="dateSelect" defaultVal="1" hasLabel="false" title="日期选择" ></t:dictSelect>
指标选择：<t:dictSelect id="dex" field="dex" type="list" typeGroupCode="dexSelect" defaultVal="weight" hasLabel="false" title="指标选择" ></t:dictSelect>
<a class="easyui-linkbutton l-btn" onclick="doSearch()" href="#"><span class="l-btn-text icon-search l-btn-icon-left">查询</span></a>
<br><br>
<div id="main" style="width: 1500px;height:300px; position: absolute;"></div>
</div>
<br>
<script type="text/javascript">
$(document).ready(function(){
lightCattleSearch();
});
function doSearch(){
$.messager.progress({
title: '提示',
msg: '数据加载中，请稍后......',
text: '',
interval:'500'
});
var clientNcode = $("#clientNcode").val();
var date = $("#date").val();
var dex = $("#dex").val(); var url = "ClientManageController.do?doSearch";
$.ajax({
type:"POST",
url:url,
data:{
clientNcode:clientNcode,
date:date,
dex:dex
},
success:function(data){
//data是一个map
$.messager.progress('close');
var result = jQuery.parseJSON(data);//也可以这么写：JSON.parse(data);
tubiao(result.str,result.dexSelect);
}
});
} function tubiao(data,name){
var datas = new Array();
//data = [["2000-06-05",116],["2000-06-06",129],["2000-06-07",135],["2000-06-08",86],["2000-06-09",73],["2000-06-10",85],["2000-06-11",73],["2000-06-12",68],["2000-06-13",92],["2000-06-14",130],["2000-06-15",245],["2000-06-16",139],["2000-06-17",115],["2000-06-18",111],["2000-06-19",309],["2000-06-20",206],["2000-06-21",137],["2000-06-22",128],["2000-06-23",85],["2000-06-24",94],["2000-06-25",71],["2000-06-26",106],["2000-06-27",84],["2000-06-28",93],["2000-06-29",85],["2000-06-30",73],["2000-07-01",83],["2000-07-02",125],["2000-07-03",107],["2000-07-04",82],["2000-07-05",44],["2000-07-06",72],["2000-07-07",106],["2000-07-08",107],["2000-07-09",66],["2000-07-10",91],["2000-07-11",92],["2000-07-12",113],["2000-07-13",107],["2000-07-14",131],["2000-07-15",111],["2000-07-16",64],["2000-07-17",69],["2000-07-18",88],["2000-07-19",77],["2000-07-20",83],["2000-07-21",111],["2000-07-22",57],["2000-07-23",55],["2000-07-24",60]];
//data = JSON.parse(data);
var myobj=eval(data);
for(var i=0;i<myobj.length;i++){
var arry = new Array();
arry[0]=myobj[i][0];
arry[1]=myobj[i][1];
datas[i]=arry;
} var dateList = datas.map(function (item) {
return item[0];
});
var valueList = datas.map(function (item) {
return item[1];
}); var option = { // Make gradient line here
visualMap: [{
show: false,
type: 'continuous',
seriesIndex: 0,
min: 0,
max: 400
}], title: [{
top:'0%',
left: 'center',
text: name
}],
tooltip: {
trigger: 'axis'
},
xAxis: [{
data: dateList
}],
yAxis: [{ splitLine: {show: true}, }],
grid: [{
top: '90%',
bottom: '87%'
}],
series: [{
type: 'line',
smooth: true,
showSymbol: false,
show:true,
data: valueList
}]
};
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById('main'));
myChart.setOption(option);
}
</script>
</body>
java后台返回的map数据代码：
{dexSelect=周数据, str=[["2017-11-16 07:22:13",74.35],["2017-11-17 07:23:45",75.55],["2017-11-18 07:21:55",76.15],["2017-11-19 07:36:18",74.7],["2017-11-20 07:33:35",74.1]]}
出来的页面效果如下图：
二、地图：
(1)html:
<div id="right" style="width:50%;height:100%;float: right;"></div>
(2)javascript:
引入js
<script type="text/javascript" src="../echart/echarts.min.js"></script>
<script type="text/javascript" src="../echart/echarts.js"></script>
<script type="text/javascript" src="../echart/china.js"></script>
页面js
//利用eChart绘制网页地图
var myChart;
city();
function city() {var data = [
{name: '海门', value: 9},
{name: '鄂尔多斯', value: 12},
{name: '招远', value: 12},
{name: '舟山', value: 12},
{name: '齐齐哈尔', value: 14},
{name: '盐城', value: 15},
{name: '赤峰', value: 16},
{name: '青岛', value: 18},
{name: '乳山', value: 18},
{name: '金昌', value: 19},
{name: '泉州', value: 21},
{name: '南通', value: 23},
{name: '拉萨', value: 24},
{name: '云浮', value: 24},
{name: '上海', value: 25},
{name: '攀枝花', value: 25},
{name: '承德', value: 25},
{name: '汕尾', value: 26},
{name: '丹东', value: 27},
{name: '瓦房店', value: 30},
{name: '延安', value: 38},
{name: '咸阳', value: 43},
{name: '南昌', value: 54},
{name: '柳州', value: 54},
{name: '三亚', value: 54},
{name: '泸州', value: 57},
{name: '克拉玛依', value: 72}
]; var geoCoordMap = {
'海门':[121.15,31.89],
'鄂尔多斯':[109.781327,39.608266],
'招远':[120.38,37.35],
'舟山':[122.207216,29.985295],
'齐齐哈尔':[123.97,47.33],
'盐城':[120.13,33.38],
'赤峰':[118.87,42.28],
'青岛':[120.33,36.07],
'乳山':[121.52,36.89],
'金昌':[102.188043,38.520089],
'泉州':[118.58,24.93],
'莱西':[120.53,36.86],
'日照':[119.46,35.42],
'胶南':[119.97,35.88],
'南通':[121.05,32.08],
'拉萨':[91.11,29.97],
'云浮':[112.02,22.93],
'梅州':[116.1,24.55],
'文登':[122.05,37.2],
'上海':[121.48,31.22],
'攀枝花':[101.718637,26.582347],
'威海':[122.1,37.5],
'承德':[117.93,40.97],
'厦门':[118.1,24.46],
'汕尾':[115.375279,22.786211],
'潮州':[116.63,23.68],
'丹东':[124.37,40.13],
'太仓':[121.1,31.45],
'曲靖':[103.79,25.51],
'烟台':[121.39,37.52],
'福州':[119.3,26.08],
'瓦房店':[121.979603,39.627114],
'即墨':[120.45,36.38],
'抚顺':[123.97,41.97],
'玉溪':[102.52,24.35],
'张家口':[114.87,40.82],
'阳泉':[113.57,37.85],
'莱州':[119.942327,37.177017],
'湖州':[120.1,30.86],
'汕头':[116.69,23.39],
'昆山':[120.95,31.39],
'宁波':[121.56,29.86],
'湛江':[110.359377,21.270708],
'揭阳':[116.35,23.55],
'荣成':[122.41,37.16],
'连云港':[119.16,34.59],
'葫芦岛':[120.836932,40.711052],
'常熟':[120.74,31.64],
'东莞':[113.75,23.04],
'河源':[114.68,23.73],
'淮安':[119.15,33.5],
'泰州':[119.9,32.49],
'南宁':[108.33,22.84],
'营口':[122.18,40.65],
'惠州':[114.4,23.09],
'江阴':[120.26,31.91],
'蓬莱':[120.75,37.8],
'韶关':[113.62,24.84],
'嘉峪关':[98.289152,39.77313],
'广州':[113.23,23.16],
'延安':[109.47,36.6],
'太原':[112.53,37.87],
'清远':[113.01,23.7],
'中山':[113.38,22.52],
'昆明':[102.73,25.04],
'寿光':[118.73,36.86],
'盘锦':[122.070714,41.119997],
'长治':[113.08,36.18],
'深圳':[114.07,22.62],
'珠海':[113.52,22.3],
'宿迁':[118.3,33.96],
'咸阳':[108.72,34.36],
'铜川':[109.11,35.09],
'平度':[119.97,36.77],
'佛山':[113.11,23.05],
'海口':[110.35,20.02],
'江门':[113.06,22.61],
'章丘':[117.53,36.72],
'肇庆':[112.44,23.05],
'大连':[121.62,38.92],
'临汾':[111.5,36.08],
'吴江':[120.63,31.16],
'石嘴山':[106.39,39.04],
'沈阳':[123.38,41.8],
'苏州':[120.62,31.32],
'茂名':[110.88,21.68],
'嘉兴':[120.76,30.77],
'长春':[125.35,43.88],
'胶州':[120.03336,36.264622],
'银川':[106.27,38.47],
'张家港':[120.555821,31.875428],
'三门峡':[111.19,34.76],
'锦州':[121.15,41.13],
'南昌':[115.89,28.68],
'柳州':[109.4,24.33],
'三亚':[109.511909,18.252847],
'自贡':[104.778442,29.33903],
'吉林':[126.57,43.87],
'阳江':[111.95,21.85],
'泸州':[105.39,28.91],
'西宁':[101.74,36.56],
'宜宾':[104.56,29.77],
'呼和浩特':[111.65,40.82],
'成都':[104.06,30.67],
'大同':[113.3,40.12],
'镇江':[119.44,32.2],
'桂林':[110.28,25.29],
'张家界':[110.479191,29.117096],
'宜兴':[119.82,31.36],
'北海':[109.12,21.49],
'西安':[108.95,34.27],
'金坛':[119.56,31.74],
'东营':[118.49,37.46],
'牡丹江':[129.58,44.6],
'遵义':[106.9,27.7],
'绍兴':[120.58,30.01],
'扬州':[119.42,32.39],
'常州':[119.95,31.79],
'潍坊':[119.1,36.62],
'重庆':[106.54,29.59],
'台州':[121.420757,28.656386],
'南京':[118.78,32.04],
'滨州':[118.03,37.36],
'贵阳':[106.71,26.57],
'无锡':[120.29,31.59],
'本溪':[123.73,41.3],
'克拉玛依':[84.77,45.59],
'渭南':[109.5,34.52],
'马鞍山':[118.48,31.56],
'宝鸡':[107.15,34.38],
'焦作':[113.21,35.24],
'句容':[119.16,31.95],
'北京':[116.46,39.92],
'徐州':[117.2,34.26],
'衡水':[115.72,37.72],
'包头':[110,40.58],
'绵阳':[104.73,31.48],
'乌鲁木齐':[87.68,43.77],
'枣庄':[117.57,34.86],
'杭州':[120.19,30.26],
'淄博':[118.05,36.78],
'鞍山':[122.85,41.12],
'溧阳':[119.48,31.43],
'库尔勒':[86.06,41.68],
'安阳':[114.35,36.1],
'开封':[114.35,34.79],
'济南':[117,36.65],
'德阳':[104.37,31.13],
'温州':[120.65,28.01],
'九江':[115.97,29.71],
'邯郸':[114.47,36.6],
'临安':[119.72,30.23],
'兰州':[103.73,36.03],
'沧州':[116.83,38.33],
'临沂':[118.35,35.05],
'南充':[106.110698,30.837793],
'天津':[117.2,39.13],
'富阳':[119.95,30.07],
'泰安':[117.13,36.18],
'诸暨':[120.23,29.71],
'郑州':[113.65,34.76],
'哈尔滨':[126.63,45.75],
'聊城':[115.97,36.45],
'芜湖':[118.38,31.33],
'唐山':[118.02,39.63],
'平顶山':[113.29,33.75],
'邢台':[114.48,37.05],
'德州':[116.29,37.45],
'济宁':[116.59,35.38],
'荆州':[112.239741,30.335165],
'宜昌':[111.3,30.7],
'义乌':[120.06,29.32],
'丽水':[119.92,28.45],
'洛阳':[112.44,34.7],
'秦皇岛':[119.57,39.95],
'株洲':[113.16,27.83],
'石家庄':[114.48,38.03],
'莱芜':[117.67,36.19],
'常德':[111.69,29.05],
'保定':[115.48,38.85],
'湘潭':[112.91,27.87],
'金华':[119.64,29.12],
'岳阳':[113.09,29.37],
'长沙':[113,28.21],
'衢州':[118.88,28.97],
'廊坊':[116.7,39.53],
'菏泽':[115.480656,35.23375],
'合肥':[117.27,31.86],
'武汉':[114.31,30.52],
'大庆':[125.03,46.58]
}; function convertData(data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value)
});
}
}
return res;
}; function randomValue() {
return Math.round(Math.random()*1000);
} //var imgPath = 'image://https://images2018.cnblogs.com/blog/993337/201804/993337-20180403155453880-1214885401.jpg';
var imgPath = ''; option = {
tooltip: {},
visualMap: {
min: 0,
max: 1500,
left: 'left',
top: 'bottom',
text: ['最大值','最小值'],
seriesIndex: [1],
inRange: {
color: ['#e0ffff', '#006edd']
},
calculable : true
},
geo: {
map: 'china',
roam: false,
label: {
normal: {
show: true,
textStyle: {
color: 'rgba(0,0,0,0.4)'
}
}
},
itemStyle: {
normal:{
borderColor: 'rgba(0, 0, 0, 0.2)'
},
emphasis:{
areaColor: null,
shadowOffsetX: 0,
shadowOffsetY: 0,
shadowBlur: 20,
borderWidth: 0,
shadowColor: 'rgba(0, 0, 0, 0.5)'
}
}
},
series : [
{
type: 'scatter',
coordinateSystem: 'geo',
data: convertData(data),
symbolSize: 14,
symbol: imgPath,
symbolRotate: 35,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#F06C00'
}
}
},
{
name: '好友地区统计',
type: 'map',
geoIndex: 0,
// tooltip: {show: false},
data:[
{name: '北京', value: randomValue()},
{name: '天津', value: randomValue()},
{name: '上海', value: randomValue()},
{name: '重庆', value: randomValue()},
{name: '河北', value: randomValue()},
{name: '河南', value: randomValue()},
{name: '云南', value: randomValue()},
{name: '辽宁', value: randomValue()},
{name: '黑龙江', value: randomValue()},
{name: '湖南', value: randomValue()},
{name: '安徽', value: randomValue()},
{name: '山东', value: randomValue()},
{name: '新疆', value: randomValue()},
{name: '江苏', value: randomValue()},
{name: '浙江', value: randomValue()},
{name: '江西', value: randomValue()},
{name: '湖北', value: randomValue()},
{name: '广西', value: randomValue()},
{name: '甘肃', value: randomValue()},
{name: '山西', value: randomValue()},
{name: '内蒙古', value: randomValue()},
{name: '陕西', value: randomValue()},
{name: '吉林', value: randomValue()},
{name: '福建', value: randomValue()},
{name: '贵州', value: randomValue()},
{name: '广东', value: randomValue()},
{name: '青海', value: randomValue()},
{name: '西藏', value: randomValue()},
{name: '四川', value: randomValue()},
{name: '宁夏', value: randomValue()},
{name: '海南', value: randomValue()},
{name: '台湾', value: randomValue()},
{name: '香港', value: randomValue()},
{name: '澳门', value: randomValue()}
]
}
]
} myChart = echarts.init(document.getElementById('right'));
myChart.setOption(option);
}
效果如下：
利用eChart绘制网页图表的更多相关文章
- 利用ichart绘制网页图表
首先,最好的教程在这里:ichartjs 有了这个网站,要绘制网页图表简直方便愉快! 接下来说一下使用方法~~~ 进入网站,点击在线设计器 在线设计器的使用方法就不说了,摸索一下就会了!关键在于两个地 ...
- C#中利用LightningChart绘制曲线图表
最近在做一个“基于C#语言的电炉温控制软件设计”的设计,我在大学并不是专业学习C#语言编程的,对C#的学习研究完全是处于兴趣,所以编程技术也不是很厉害,遇到问题多参照网络上的开源码. 这不,在做这个课 ...
- 网页图表Highcharts实践教程之外层图表区
网页图表Highcharts实践教程之外层图表区 Highcharts图表区 图表区是图表的基本区域.所有的数据和图形都是绘制在图表区中.从图形绘制范围来分,图表区域分为外层图表区和绘图区.本章将详细 ...
- 网页图表Highcharts实践教程之图表代码构成
网页图表Highcharts实践教程之图表代码构成 Highcharts第一个实例 下面我们来实现本书的第一个Highcharts实例. [实例1-1]下面来制作北京连续一周最高温度折线图.操作过程如 ...
- Python使用plotly绘制数据图表的方法
转载:http://www.jb51.net/article/118936.htm 本篇文章主要介绍了Python使用plotly绘制数据图表的方法,实例分析了plotly绘制的技巧. 导语:使用 p ...
- 网页图表Highcharts实践教程之图表区
网页图表Highcharts实践教程之图表区 网页图表Highcharts图表区 图表区是图表的基本区域.所有的数据和图形都是绘制在图表区中.从图形绘制范围来分,图表区域分为外层图表区和绘图区.本章将 ...
- Highmaps网页图表教程之图表配置项结构与商业授权
Highmaps网页图表教程之图表配置项结构与商业授权 Highmaps图表配置项结构 Highmaps最核心的部分就是图表配置项.用户通过图表配置项来对标题进行定制,从而实现自己所要的效果.所以,掌 ...
- Highmaps网页图表教程之Highmaps第一个实例与图表构成
Highmaps网页图表教程之Highmaps第一个实例与图表构成 Highmaps第一个实例 下面我们来实现本教程的第一个Highmaps实例. [实例1-1:hellomap]下面来制作一个中国地 ...
- 利用JFreeChart生成组合图表 (8) (转自 JSP开发技术大全)
利用JFreeChart生成组合图表 (8) (转自 JSP开发技术大全) 14.8 利用JFreeChart生成组合图表 实例位置:光盘\mingrisoft\14\dxyy\02 通过JFree ...
随机推荐
- Cognos让指定用户不具有删除内容的权限
为了方便用户使用Cognos,现在很多对权限要求不够严格的用户就想到了可以让用户实现匿名登陆,即不登陆系统即可实现访问报表,当然这也仅仅是按照客户的需求,我个人认为一个安全性的数据平台还是需要对登陆. ...
- [Functional Programming 101] runWIth, evalWith, execWith
Recentlly, I am learning crocks.js ADT libaray. In the beginning, it is hard to understand when to u ...
- 刀片服务器和磁盘阵列卡（RAID）技术---永和维护（转）
近期客户需要更换服务器,客户把买好的服务器送来了,原本感觉很小的一个服务器,可当我看到的时候是一个大个的又长又宽,类似机房服务器的那种,后来米老师给大致讲解一番:这个是刀片服务器. 刀片服务器是指在标 ...
- Discuz常见大问题-如何使用云采集插件
在百度中搜discuz 云采集插件(直接在Discuz官方的插件库中搜可能搜不到) 启用这个插件 随后在任意版块发帖的时候,顶部都会有一个文本框,可以直接放别人博客的帖子,点击获取将生成到你发的帖子中 ...
- WPF{ComboBox绑定类对象， 下拉列显示的值，与取到的值}
DisplayMemberPath 是用来显示下拉列表的值 SelectedValuePath是用来取得选中项的值. ComboBox绑定类对象, 下拉列显示的值,与取到的值 string. Join ...
- ios Mac 地址获取
//mac address #include <sys/socket.h> // Per msqr #include <sys/sysctl.h> #include <n ...
- 算法笔记_171:历届试题 小朋友排队(Java)
目录 1 问题描述 2 解决方案 1 问题描述 问题描述 n 个小朋友站成一排.现在要把他们按身高从低到高的顺序排列,但是每次只能交换位置相邻的两个小朋友. 每个小朋友都有一个不高兴的程度.开始的 ...
- Nginx随笔
1.用于代理与反代理,处理大量请求的工具. 2.主要有三大模块:handle.upstream.过滤模块.handle用于在nginx内部接到请求并进行处理的状况:upstream用于需要nginx接 ...
- maven 配置环境变量
maven 环境变量配置 CreationTime--2018年6月4日18点45分 Author:Marydon 前言 要先运行maven,需要按安装并配置jdk,没有配置的见文末推荐. 1.m ...
- 〖Linux〗Ubuntu 64位安装sqlite3_analyzer
1. 安装过程 -dev:i386 wget -c "http://www.sqlite.org/2013/sqlite-analyzer-linux-x86-3080200.zip&quo ...