Echarts.js的学习
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Echarts.js学习笔记
1. Echarts的引入
直接像引入jquery一样引入echarts.js,具体路径自行修改
<script src="../Echarts/echarts.js"></script>2. Echarts的使用
- 首先需要在html中声明一个DOM元素用来放置图表，元素必须制定宽和高，否则无法绘制图形。
至于js代码，大部分的都是类似，下面是示例代码
// 指定图表的配置项和数据 var option = { title: { show:true,//是否显示标题 text: '商品销售',//文字 link:'http://www.baidu.com',//标题链接 target:'blank',//新窗口 // textStyle: {//标题样式 // color: '#333', // fontStyle: 'normal', // fontWeight: 'normal', // fontFamily: 'sans-serif', // fontSize: 14, // }, textAlign:'left',//标题对齐方式 subtext:'1月份销售\n何健兵',//副标题名字 padding:[0],//标题上下左右内边距 // left:'center',//距离左边的像素值 }, tooltip: { show:true, trigger:'axis',//触发类型,有'item','axis','none'三个选项 }, toolbox:{//工具栏，内置有导出图片，数据视图，动态类型切换，数据区域缩放，重置五个工具 show:true, orient:'vertical',//工具栏 icon 的布局朝向。'horizontal','vertical' feature:{ dataView:{ show:true, }, restore:{ show:true, }, dataZoom:{ show:true, }, saveAsImage:{ show:true, type:'png',// }, magicType:{ type: ['line', 'bar', 'stack', 'tiled'] } } }, legend: { data:['销量','存量','损耗量'] }, xAxis: { data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"] }, yAxis: {}, series: [{ name: '销量', type: 'bar', data:[10,15,32,45,55,25] }, { name:'存量', type:'line', data:[5,17,25,15,25,40] },{ name:'损耗量', type:'line', data:[4,3,8,6,3,5] } ] };myChart.setOption(option);3. Echarts常用图表
具体html结构基本上一样，如下：
<!DOCTYPE html><html lang="en"><head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta http-equiv="X-UA-Compatible" content="ie=edge"> <title>fff</title></head><body> <div id="container" style="height:400px;width:600px;"> </div> <script src="../Echarts/echarts.js"></script> <script src="demo02.js"></script></body></html>条形图（bar）
var myChart=echarts.init(document.getElementById("container")); var option={ title:{ show:true, text:'水果销售', subtext:'wallow', }, tooltip:{ show:true, // trigger:'axis' }, toolbox:{ show:true, }, legend:{ data:['销售量','损耗量'] }, xAxis:{ data:['苹果','香蕉','葡萄','哈密瓜'] }, yAxis:{}, series:[ { name:'销售量', type:'bar', label:{//设置 normal:{ show:true, position:'top', } }, itemStyle:{//设置每个柱状图的填充颜色和透明度 normal:{ color:'green', opacity:0.5 } }, data:[50,35,25,45], },{ name:'损耗量', type:'bar', data:[5,3,4,7], label:{ normal:{ show:true, position:'top' } } } ] } myChart.setOption(option);效果图为 
折线图
var myChart=echarts.init(document.getElementById("container"));var option={ title:{ show:true, text:'水果销售', subtext:'何建兵', }, tooltip:{ show:true, // trigger:'axis', }, toolbox:{ show:true, orient:'vertical', feature:{ dataView:{ show:true, }, saveAsImage:{ show:true, }, dataZoom:{ show:true, }, restore:{ show:true, }, magicType:{ type:['line','bar','stack'] } } }, legend:{ data:['销量','损耗量'], }, xAxis:{ data:['苹果','香蕉','樱桃','草莓','橘子','荔枝','西瓜'], }, yAxis:{ }, series:[{ name:'销量', type:'line', data:[20,40,50,10,45,100,55], itemStyle:{ normal:{ color:'red' } } },{ name:'损耗量', type:'line', data:[4,5,10,5,20,30,15], }]}myChart.setOption(option);效果图： 
toolbox可以添加一些工具栏。
雷达图
var chart=echarts.init(document.getElementById("main"));var option={ backgroundColor:'#fff', title:{ show:true, text:"英雄能力", }, legend:{ orient:'vertical', data:['何建兵','廖斯博'], left:20, top:100 }, tooltip:{ show:true, }, toolbox:{}, radar:{ indicator: [ {name: '击杀', max: 100}, {name: '生存', max: 100}, {name: '金钱', max: 100}, {name: '防御', max: 100}, {name: '助攻', max: 100}, {name: '魔法', max: 100}, {name: '物理', max: 100} ], // center: ['25%','40%'], // radius: 80 }, series:[{ type: 'radar', tooltip: { trigger: 'item' }, z:20, data: [ { value: [40,23,55,40,30,40,90], name: '廖斯博', areaStyle: {normal:{color:'red'}}, } ] }, { type: 'radar', tooltip: { trigger: 'item' }, z:2, data: [ { value: [60,73,85,40,80,70,90], name: '何建兵', areaStyle: {normal:{color:'yellow'}}, } ] } ]}chart.setOption(option);效果： 
地图
要绘制地图首先需要下载响应的地图文件，地图文件分为js和json两种，根据需要下载对应的文件，json文件一般异步请求数据使用.下面以一个简单的中国地图为例。准备文件，下载echarts.js和china.js,分别在html中引入。
var myChart=echarts.init(document.getElementById("map"));myChart.setOption({ title:{ text:'中国地图', }, tooltip:{ show:true, }, toolbox:{ }, series: [{ type: 'map', name:'中国地图', map: 'china', center: [115.97, 29.71], label:{ normal:{ show:true, } }, data:[{name:'浙江',value:6,selected:true,itemStyle:{normal:{areaColor:'red'}}},{name:'广东',value:3,selected:true}] }]});效果图： 
散点图
var myChart = echarts.init(document.getElementById("main"));option = { title : { text: '男性女性身高体重分布', subtext: '抽样调查来自: Heinz 2003' }, tooltip : { trigger: 'axis', showDelay : 0, }, legend: { data:['女性','男性'] }, toolbox: { show : true, feature : { mark : {show: true}, dataZoom : {show: true}, dataView : {show: true, readOnly: false}, restore : {show: true}, saveAsImage : {show: true} } }, xAxis : [ { type : 'value', scale:true, axisLabel : { formatter: '{value} cm' } } ], yAxis : [ { type : 'value', scale:true, axisLabel : { formatter: '{value} kg' } } ], series : [ { name:'女性', type:'scatter', data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6], [170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2], [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0], [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8], [159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8], [174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0], [154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8], [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6], [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3], [167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8], [167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3], [168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3], [156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0], [162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7], [151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5], [164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2], [170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8], [163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9], [161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2], [159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4], [161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4], [171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2], [166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0], [159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0], [162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4], [172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4], [162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5], [158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5], [167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2], [170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2], [160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3], [166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5], [170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4], [167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6], [160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8], [177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1], [172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5], [175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2], [165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6], [168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0], [162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0], [157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9], [172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1], [161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4], [152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7], [160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5], [167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8], [175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0], [174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9], [156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6], [169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8], [176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3] ], markPoint : { data : [ {type : 'max', name: '最大值'}, {type : 'min', name: '最小值'} ] }, markLine : { data : [ {type : 'average', name: '平均值'} ] } }, { name:'男性', type:'scatter', data: [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8], [181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6], [180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0], [184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9], [176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8], [178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9], [183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1], [170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1], [186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6], [182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1], [169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2], [163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2], [177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0], [167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2], [171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2], [174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9], [180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9], [180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0], [175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3], [176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7], [184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5], [157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3], [165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1], [185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0], [177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2], [188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1], [166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6], [185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1], [190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5], [176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1], [172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5], [167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5], [172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9], [193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1], [167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8], [188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5], [171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4], [182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5], [188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6], [175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7], [177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5], [174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6], [167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7], [175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0], [177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3], [174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3], [174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9], [180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1], [170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1], [180.3, 83.2], [180.3, 83.2] ], markPoint : { data : [ {type : 'max', name: '最大值'}, {type : 'min', name: '最小值'} ] }, markLine : { data : [ {type : 'average', name: '平均值'} ] } } ]};myChart.setOption(option);效果图：
仪表图
代码：
var chart=echarts.init(document.getElementById("main"));var option= { tooltip : { formatter: "{a} <br/>{b} : {c}%" }, toolbox: { feature: { restore: {}, saveAsImage: {} } }, series: [ { name: '业务指标', type: 'gauge', detail: {formatter:'{value}%'}, data: [{value: 50, name: '完成率'}] } ]};var timer=setInterval(function(){ option.series[0].data[0].value+=10; chart.setOption(option); console.log(option.series[0].data[0].value); if(option.series[0].data[0].value==100){ console.log("计时器被清除"); clearInterval(timer); }},3000)效果图：
官网上还有各种图表，具体其他图形和其他配置，可以参照官方实例和官方文档。
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