ECharts实现数据可视化超详细基础入门教程

ECharts实现数据可视化超详细基础入门教程

ECharts介绍

ECharts官网:https://echarts.apache.org/zh/index.html
ECharts是一款基于JavaScript的数据可视化图表库,提供直观,生动,可交互,可个性化定制的数据可视化图表。ECharts最初由百度团队开源,并于2018年初捐赠给Apache基金会,成为ASF孵化级项目。

ECharts,一个使用 JavaScript 实现的开源可视化库,可以流畅的运行在 PC 和移动设备上,兼容当前绝大部分浏览器(IE8/9/10/11,Chrome,Firefox,Safari等),底层依赖矢量图形库 ZRender,提供直观,交互丰富,可高度个性化定制的数据可视化图表。

博客文章中的所有代码素材下载:
https://www.aliyundrive.com/s/JCX666AEBH7
提取码:3x7o

使用ECharts五个步骤

1、引入ECharts.js文件
可以通过下载源代码:ECharts.js下载地址

<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>

2、准备一个具备大小的DOM容器

<div class="qwe" style="width: 600px;height: 400px;">div>

3、初始化echarts实例对象

var mCharts = echarts.init(document.querySelector(".qwe"));

4、配置项

var option = {
	title: {
		text: '成绩',
		link:"https://t.bilibili.com/",
		textStyle:{
		color:'#ffaa00',
		fontSize:30,
		}
	},
	
	xAxis: {
		// type: 类目轴
		type: 'category',
		data: ['小明','小黑','小王']
	},
	yAxis: {
		// 数值轴
		type: 'value'
	},
	series: [
		{
			name: '语文',
			type: 'bar',
			data: [70,92,87]
		}
	]
}

5、将配置项设置给echarts对象

mCharts.setOption(option);

一、柱状图

柱状图实现效果展示
ECharts实现数据可视化超详细基础入门教程_第1张图片

实现柱状图代码

DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8" />
		<title>柱状图的基本实现title>
		<link rel="stylesheet" type="text/css" href="css/public.css"/>
		<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
		<style type="text/css">
			.zhu{
				width: 600px;
				height: 400px;
				/* background-color: #ffaa00; */
			}
		style>
	head>
	<body>
		<div class="zhu">div>
		<script type="text/javascript">
			var mCharts = echarts.init(document.querySelector(".zhu"));
			var xDataArr=['张三','李四','王五','闰土','小明','茅台'];
			var yDataArr=[88,92,63,77,94,80];
			var option = {
				xAxis:{
					// 类目轴
					type:'category',
					data:xDataArr,
					// type: 'value',
				},
				yAxis:{
					// 数值轴
					type: 'value',
					// type:'category',
					// data:xDataArr,
				},
				series:[
					{
						name:'语文',
						// 柱状图:bar
						type:"bar",
						// 最大值和最小值:markPoint 平均值:markLine
						markPoint:{
							data:[
								{
									type:"max", name:"最大值",
								},{
									type:"min", name:"最小值",
								}
							]
						},
						markLine:{
							data:[
								{
									type:'average', name:'平均值',
								}
							]
						},
						// 数值显示
						label:{
							show:true,
							// 文本内容旋转45度
							rotate:45,
							// 数值显示在顶部 top
							// inside 在内部显示 为默认值
							position:'top',
						},
						barWidth:'50%',
						data:yDataArr,
					}
				]
			}
			// 将配置项设置给echarts对象
			mCharts.setOption(option);
		script>
	body>
html>

常见配置效果实现
1、title 标题

var option = {
	// 标题
	title:{
		link:'https://echarts.apache.org/zh/index.html',
		text:"成绩展示",
		textStyle:{
			color:'#ffaa00',
		},
		borderWidth:5,
		borderColor:'#dfdf00',
		borderRadius:7,
		left:50,
		top:10,
	},

2、tooltip 显示图例

tooltip:{
	// 触发类型 trigger
	// trigger: 'item',
	// 触发有竖线的那种
	trigger:'axis',
	// 触发时机 	triggerOn
	// triggerOn:'click',
	// 格式化 formatter  {a}(系列名称),{b}(类目值),{c}(数值)
	// formatter:'{b}的{a}成绩是{c}',
	formatter: function(arg){
		// console.info(arg)
		return arg[0].name + '的分数是' + arg[0].data
	}
},

3、toolbox ECharts提供的工具栏

toolbox:{
	feature: {
		// 下载导出图片
		saveAsImage: {},
		// 数据视图 还可以修改数据
		dataView: {},
		// 重置
		restore: {},
		// 区域缩放
		dataZoom:{},
		// 类型切换
		magicType:{
			type:['bar','line',]
		},
	}
},

4、legend:图例,用于筛选系列,需要和series配合使用

legend:{
	data:['语文','数学']
},

通用配置效果展示
ECharts实现数据可视化超详细基础入门教程_第2张图片

所有效果代码

DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8" />
		<title>title>
		<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
		<style type="text/css">
			#main{
				width: 800px;
				height: 400px;
			}
		style>
	head>
	<body>
		<div id="main">div>
		<script type="text/javascript">
			var myChart = echarts.init(document.getElementById('main'));
			var xDataArr=['张三','李四','王五','闰土','小明','茅台','二妞','大强'];
			var yDataArr=[88,92,63,77,94,80,72,86];
			var yDataArr2=[68,62,43,87,84,70,99,34];
			
			var option = {
				// 标题
				title:{
					link:'https://echarts.apache.org/zh/index.html',
					text:"成绩展示",
					textStyle:{
						color:'#ffaa00',
					},
					borderWidth:5,
					borderColor:'#dfdf00',
					borderRadius:7,
					left:50,
					top:10,
				},
				// 显示图例
				tooltip:{
					// 触发类型 trigger
					trigger: 'item',
					// 触发有竖线的那种
					// trigger:'axis',
					// 触发时机 	triggerOn
					// triggerOn:'click',
					// 格式化 formatter  {a}(系列名称),{b}(类目值),{c}(数值)
					// formatter:'{b}的{a}成绩是{c}',
					// 回调函数
					formatter: function(arg){
						// console.info(arg)
						return arg.name + '的' + arg.seriesName + '分数是: ' + arg.data;
					}
				},
				// ECharts提供的工具栏
				toolbox:{
					feature: {
						// 下载导出图片
						saveAsImage: {},
						// 数据视图 还可以修改数据
						dataView: {},
						// 重置
						restore: {},
						// 区域缩放
						dataZoom:{},
						// 类型切换
						magicType:{
							type:['bar','line',]
						},
					}
				},
				// legend:图例,用于筛选系列,需要和series配合使用
				legend:{
					data:['语文','数学']
				},
				xAxis:{
					type:'category',
					data:xDataArr,
					// type: 'value',
				},
				yAxis:{
					type: 'value',
					// type:'category',2
					// data:xDataArr,
				},
				
				series:[
					{
						name:'语文',
						// 柱状图:bar
						type:"bar",
						// 最大值和最小值:markPoint 平均值:markLine
						markPoint:{
							data:[
								{
									type:"max", name:"最大值",
								},{
									type:"min", name:"最小值",
								}
							]
						},
						markLine:{
							data:[
								{
									type:'average', name:'平均值',
								}
							]
						},
						
						// 数值显示
						label:{
							show:true,
							// 文本内容旋转45度
							rotate:30,
							// 数值显示在顶部 top
							// position:'top',
						},
						// barWidth:'40%',
						data:yDataArr,
					},
					
					// 数学成绩
					{
						name:'数学',
						type:'bar',
						data: yDataArr2,
						label:{
							show:true,
							// 文本内容旋转45度
							// rotate:30,
							// 数值显示在顶部 top
							position:'top',
						},
					}
				]
			};
			// 将配置项设置给echarts对象
			myChart.setOption(option);
		script>
	body>
html>

二、折线图

折线图实现效果图
ECharts实现数据可视化超详细基础入门教程_第3张图片
折线图实现完整代码

DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8">
		<title>class2_折线图title>
		<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
		<style type="text/css">
			#zhe{
				width: 650px;
				height: 400px;
				/* background-color: #ffaa00; */
			}
		style>
	head>
	<body>
		<div id="zhe">div>
		<script type="text/javascript">
			var myCharts = echarts.init(document.querySelector("#zhe"));
			var xDataArr=['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月'];
			var yDataArr=[3000,2800,900,1000,800,700,1400,1300,900,1000,800,600];
			var yDataArr2=[1560,1600,2300,500,800,1300,1800,1550,900,500,1460,500];
			var option = {
				legend:{
					data:['康帅博','汤达人']
				},
				xAxis:{
					type:'category',
					data:xDataArr,
					// type: 'value',
					// 紧挨边缘
					boundaryGap:false,
				},
				yAxis:{
					type: 'value',
					// type:'category',2
					// data:xDataArr,
					// 缩放,脱离0值比例
					scale:true,
				},
				tooltip:{
					// 触发类型 trigger
					trigger: 'axis',
				},
				series:[
					{
						name:'康帅博',
						// 柱状图:bar
						type:"line",
						data:yDataArr,
						stack:'all',
						areaStyle:{},
						// 最值
						markPoint:{
							data:[
								{
									type:'max',
								}
							]
						},
						// 平均值
						markLine:{
							data:[
								{
									type:'average', name:'平均值',
								}
							]
						},
						// 标注区间 markArea
						markArea:{
							data:[
								[
									{xAxis:'2月'},
									{xAxis:'4月'},
								],
								[
									{xAxis:'7月'},
									{xAxis:'8月'},
								],
							]
						},
						// 线条平滑 smooth
						smooth:true,
						// 改变线条样式 lineStyle
						lineStyle:{
							color:'#0055ff',
							type:'solid',
						},
						// 填充风格
						areaStyle:{
							color:'#aaff00',
						},
					},
					{
						name:'汤达人',
						type:'line',
						data:yDataArr2,
						stack:'all',
						areaStyle:{},
					}
				],
			}
			// 将配置项设置给echarts对象
			myCharts.setOption(option);
		script>
	body>
html>

折线图常见效果

  • 最大值和最小值:markPoint 平均值:markLine
markPoint:{
	data:[
		{
			type:"max", name:"最大值",
		},{
			type:"min", name:"最小值",
		}
	]
},
markLine:{
	data:[
		{
			type:'average', name:'平均值',
		}
	]
},
  • 标注区间 markArea
markArea:{
	data:[
		[
			{xAxis:'2月'},
			{xAxis:'4月'},
		],
		[
			{xAxis:'7月'},
			{xAxis:'8月'},
		],
	]
},
  • 线条平滑 smooth
smooth:true,
  • 改变线条样式 lineStyle
lineStyle:{
	color:'#aa00ff',
	// 线条样式 与css中边框border像是
	type:'solid',
},

三、散点图

散点图实现效果展示
ECharts实现数据可视化超详细基础入门教程_第4张图片
散点图所有代码

DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>calss3_散点图title>
    
    <script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
head>
<body>
    
    <div style="width: 600px;height:400px;" class="sandian">div>
    <script>
	    var data=[
			 {'height': 207, 'weight': 110},
			 {'height': 178, 'weight': 110},
			 {'height': 191, 'weight': 107},
			 {'height': 191, 'weight': 102},
			 {'height': 191, 'weight': 102},
			 {'height': 191, 'weight': 102},
			 {'height': 197, 'weight': 101},
			 {'height': 198, 'weight': 100},
			 {'height': 191, 'weight': 100},
			 {'height': 199, 'weight': 100},
			 {'height': 195, 'weight': 100},
			 {'height': 198, 'weight': 99},
			 {'height': 194, 'weight': 98},
			 {'height': 199, 'weight': 98},
			 {'height': 194, 'weight': 98},
			 {'height': 190, 'weight': 98},
			 {'height': 202, 'weight': 98},
			 {'height': 191, 'weight': 98},
			 {'height': 196, 'weight': 97},
			 {'height': 196, 'weight': 97},
			 {'height': 197, 'weight': 97},
			 {'height': 197, 'weight': 97},
			 {'height': 199, 'weight': 97},
			 {'height': 190, 'weight': 96},
			 {'height': 196, 'weight': 96},
			 {'height': 203, 'weight': 96},
			 {'height': 193, 'weight': 96},
			 {'height': 187, 'weight': 96},
			 {'height': 193, 'weight': 96},
			 {'height': 191, 'weight': 96},
			 {'height': 190, 'weight': 96},
			 {'height': 194, 'weight': 96},
			 {'height': 188, 'weight': 96},
			 {'height': 190, 'weight': 96},
			 {'height': 193, 'weight': 96},
			 {'height': 204, 'weight': 96},
			 {'height': 189, 'weight': 96},
			 {'height': 200, 'weight': 96},
			 {'height': 180, 'weight': 96},
			 {'height': 188, 'weight': 96},
			 {'height': 191, 'weight': 96},
			 {'height': 185, 'weight': 96},
			 {'height': 191, 'weight': 96},
			 {'height': 197, 'weight': 96},
			 {'height': 195, 'weight': 95},
			 {'height': 196, 'weight': 95},
			 {'height': 196, 'weight': 95},
			 {'height': 195, 'weight': 95},
			 {'height': 198, 'weight': 95},
			 {'height': 191, 'weight': 95},
			 {'height': 171, 'weight': 58},
			 {'height': 164, 'weight': 57},
			 {'height': 161, 'weight': 57},
			 {'height': 174, 'weight': 57},
			 {'height': 166, 'weight': 57},
			 {'height': 173, 'weight': 57},
			 {'height': 170, 'weight': 57},
			 {'height': 168, 'weight': 57},
			 {'height': 160, 'weight': 57},
			 {'height': 168, 'weight': 57},
			 {'height': 173, 'weight': 57},
			 {'height': 155, 'weight': 57},
			 {'height': 170, 'weight': 57},
			 {'height': 170, 'weight': 57},
			 {'height': 167, 'weight': 57},
			 {'height': 173, 'weight': 57},
			 {'height': 168, 'weight': 57},
			 {'height': 172, 'weight': 57},
			 {'height': 168, 'weight': 57},
			 {'height': 170, 'weight': 57},
			 {'height': 161, 'weight': 57},
			 {'height': 158, 'weight': 56},
			 {'height': 162, 'weight': 56},
			 {'height': 166, 'weight': 56},
			 {'height': 172, 'weight': 56},
			 {'height': 170, 'weight': 56},
			 {'height': 167, 'weight': 56},
			 {'height': 166, 'weight': 56},
			 {'height': 161, 'weight': 56},
			 {'height': 164, 'weight': 56},
			 {'height': 160, 'weight': 56},
			 {'height': 163, 'weight': 55},
			 {'height': 160, 'weight': 55},
			 {'height': 175, 'weight': 55},
			 {'height': 168, 'weight': 55},
			 {'height': 171, 'weight': 55},
			 {'height': 168, 'weight': 55},
			 {'height': 170, 'weight': 55},
			 {'height': 165, 'weight': 55},
			 {'height': 168, 'weight': 54},
			 {'height': 164, 'weight': 54},
			 {'height': 168, 'weight': 54},
			 {'height': 164, 'weight': 53},
			 {'height': 164, 'weight': 52},
			 {'height': 169, 'weight': 52},
			 {'height': 167, 'weight': 52},
			 {'height': 163, 'weight': 50},
			 {'height': 168, 'weight': 50},
			 {'height': 168, 'weight': 49},
			 {'height': 167, 'weight': 48},
			 {'height': 185, 'weight': 80},
			 {'height': 185, 'weight': 78},
			 {'height': 180, 'weight': 72},
			 {'height': 185, 'weight': 79},
			 {'height': 191, 'weight': 89},
			 {'height': 175, 'weight': 70},
			 {'height': 195, 'weight': 78},
			 {'height': 182, 'weight': 73},
			 {'height': 185, 'weight': 77},
			 {'height': 185, 'weight': 78},
			 {'height': 183, 'weight': 83},
			 {'height': 177, 'weight': 68},
			 {'height': 183, 'weight': 76},
			 {'height': 188, 'weight': 88},
			 {'height': 185, 'weight': 74},
			 {'height': 185, 'weight': 82},
			 {'height': 181, 'weight': 71},
			 {'height': 177, 'weight': 70},
			 {'height': 182, 'weight': 78},
			 {'height': 187, 'weight': 86},
			 {'height': 191, 'weight': 82},
			 {'height': 184, 'weight': 77},
			 {'height': 175, 'weight': 81},
			 {'height': 179, 'weight': 72},
			 {'height': 178, 'weight': 73},
			 {'height': 188, 'weight': 78},
			 {'height': 189, 'weight': 86},
			 {'height': 180, 'weight': 76},
			 {'height': 185, 'weight': 76},
			 {'height': 186, 'weight': 78},
			 {'height': 188, 'weight': 82},
			 {'height': 188, 'weight': 83},
			 {'height': 178, 'weight': 77},
			 {'height': 175, 'weight': 65},
			 {'height': 188, 'weight': 83},
			 {'height': 182, 'weight': 70},
			 {'height': 173, 'weight': 67},
			 {'height': 179, 'weight': 71},
			 {'height': 184, 'weight': 79},
			 {'height': 185, 'weight': 78},
			 {'height': 179, 'weight': 71},
			 {'height': 179, 'weight': 70},
			 {'height': 180, 'weight': 75},
			 {'height': 188, 'weight': 88},
			 {'height': 183, 'weight': 77},
			 {'height': 175, 'weight': 68},
			 {'height': 170, 'weight': 66},
			 {'height': 191, 'weight': 93},
			 {'height': 177, 'weight': 75},
			 {'height': 175, 'weight': 78},
			 {'height': 180, 'weight': 68},
			 {'height': 185, 'weight': 83},
			 {'height': 177, 'weight': 78},
			 {'height': 176, 'weight': 73},
			 {'height': 192, 'weight': 91},
			 {'height': 172, 'weight': 70},
			 {'height': 185, 'weight': 79},
			 {'height': 181, 'weight': 74},
			 {'height': 181, 'weight': 75},
			 {'height': 175, 'weight': 70},
			 {'height': 181, 'weight': 77},
			 {'height': 180, 'weight': 72},
			 {'height': 185, 'weight': 68},
			 {'height': 178, 'weight': 66},
			 {'height': 188, 'weight': 83},
			 {'height': 163, 'weight': 65},
			 {'height': 179, 'weight': 74},
			 {'height': 177, 'weight': 68},
			 {'height': 185, 'weight': 76},
			 {'height': 188, 'weight': 80},
			 {'height': 177, 'weight': 68},
			 {'height': 182, 'weight': 80},
			 {'height': 192, 'weight': 84},
			 {'height': 178, 'weight': 67},
			 {'height': 187, 'weight': 81},
			 {'height': 195, 'weight': 83},
			 {'height': 174, 'weight': 67},
			 {'height': 178, 'weight': 75},
			 {'height': 179, 'weight': 76},
			 {'height': 176, 'weight': 73},
			 {'height': 183, 'weight': 76},
			 {'height': 191, 'weight': 87},
			 {'height': 180, 'weight': 72},
			 {'height': 185, 'weight': 79},
			 {'height': 194, 'weight': 82},
			 {'height': 176, 'weight': 70},
			 {'height': 175, 'weight': 69},
			 {'height': 179, 'weight': 73},
			 {'height': 188, 'weight': 70},
			 {'height': 181, 'weight': 76},
			 {'height': 181, 'weight': 80},
			 {'height': 185, 'weight': 76},
			 {'height': 180, 'weight': 75},
			 {'height': 177, 'weight': 74},
			 {'height': 182, 'weight': 78},
			 {'height': 186, 'weight': 85},
			 {'height': 183, 'weight': 71},
			 {'height': 183, 'weight': 73},
			 {'height': 185, 'weight': 82},
			 {'height': 198, 'weight': 90},
			 {'height': 175, 'weight': 74},
			 {'height': 175, 'weight': 64},
			 {'height': 174, 'weight': 70},
			 {'height': 180, 'weight': 69},
			 {'height': 174, 'weight': 73},
			 {'height': 187, 'weight': 85},
			 {'height': 173, 'weight': 63},
			 {'height': 187, 'weight': 80},
			 {'height': 174, 'weight': 63},
			 {'height': 188, 'weight': 73},
			 {'height': 181, 'weight': 73},
			 {'height': 173, 'weight': 73},
			 {'height': 168, 'weight': 64},
			 {'height': 189, 'weight': 78},
			 {'height': 174, 'weight': 69},
			 {'height': 170, 'weight': 72},
			 {'height': 184, 'weight': 74},
			 {'height': 188, 'weight': 83},
			 {'height': 185, 'weight': 81},
			 {'height': 180, 'weight': 75},
			 {'height': 180, 'weight': 70},
			 {'height': 173, 'weight': 72},
			 {'height': 178, 'weight': 73},
			 {'height': 188, 'weight': 70},
			 {'height': 187, 'weight': 82},
			 {'height': 190, 'weight': 85},
			 {'height': 178, 'weight': 64},
			 {'height': 187, 'weight': 75},
			 {'height': 175, 'weight': 62},
			 {'height': 168, 'weight': 67},
			 {'height': 178, 'weight': 68},
			 {'height': 178, 'weight': 77},
			 {'height': 167, 'weight': 61},
			 {'height': 180, 'weight': 75},
			 {'height': 182, 'weight': 82},
			 {'height': 183, 'weight': 76},
			 {'height': 168, 'weight': 69},
			 {'height': 173, 'weight': 73},
			 {'height': 183, 'weight': 75},
			 {'height': 179, 'weight': 82},
			 {'height': 183, 'weight': 75},
			 {'height': 175, 'weight': 76},
			 {'height': 182, 'weight': 81},
			 {'height': 178, 'weight': 77},
			 {'height': 175, 'weight': 73},
			 {'height': 175, 'weight': 67},
			 {'height': 184, 'weight': 76},
			 {'height': 184, 'weight': 78},
			 {'height': 183, 'weight': 71},
			 {'height': 181, 'weight': 68},
			 {'height': 170, 'weight': 65},
			 {'height': 184, 'weight': 76},
			 {'height': 177, 'weight': 64},
			 {'height': 187, 'weight': 73},
			 {'height': 174, 'weight': 75},
			 {'height': 186, 'weight': 81},
			 {'height': 185, 'weight': 83},
			 {'height': 193, 'weight': 93},
			 {'height': 185, 'weight': 82},
			 {'height': 172, 'weight': 76},
			 {'height': 168, 'weight': 71},
			 {'height': 193, 'weight': 84},
			 {'height': 170, 'weight': 66},
			 {'height': 186, 'weight': 81},
			 {'height': 172, 'weight': 77},
			 {'height': 183, 'weight': 79},
			 {'height': 182, 'weight': 81},
			 {'height': 180, 'weight': 78},
			 {'height': 182, 'weight': 78},
			 {'height': 190, 'weight': 83},
			 {'height': 182, 'weight': 75},
			 {'height': 170, 'weight': 72},
			 {'height': 191, 'weight': 79},
			 {'height': 183, 'weight': 77},
			 {'height': 177, 'weight': 70},
			 {'height': 190, 'weight': 85},
			 {'height': 182, 'weight': 75},
			 {'height': 183, 'weight': 74},
			 {'height': 193, 'weight': 93},
			 {'height': 191, 'weight': 72},
			 {'height': 182, 'weight': 78},
			 {'height': 181, 'weight': 74},
			 {'height': 177, 'weight': 70},
			 {'height': 178, 'weight': 70},
			 {'height': 178, 'weight': 70},
			 {'height': 189, 'weight': 76},
			 {'height': 180, 'weight': 70},
			 {'height': 178, 'weight': 66},
			 {'height': 187, 'weight': 72},
			 {'height': 186, 'weight': 71},
			 {'height': 186, 'weight': 77},
			 {'height': 184, 'weight': 84},
			 {'height': 192, 'weight': 85},
			 {'height': 180, 'weight': 80},
			 {'height': 182, 'weight': 76},
			 {'height': 183, 'weight': 76},
			 {'height': 180, 'weight': 75},
			 {'height': 183, 'weight': 80},
			 {'height': 175, 'weight': 70},
			 {'height': 183, 'weight': 75},
			 {'height': 170, 'weight': 68},
			 {'height': 172, 'weight': 68},
			 {'height': 178, 'weight': 72},
			 {'height': 176, 'weight': 66},
			 {'height': 185, 'weight': 75},
			 {'height': 170, 'weight': 73},
			 {'height': 185, 'weight': 70},
			 {'height': 179, 'weight': 77},
			 {'height': 174, 'weight': 75},
			 {'height': 178, 'weight': 83},
			 {'height': 175, 'weight': 71},
			 {'height': 191, 'weight': 85},
			 {'height': 180, 'weight': 76},
			 {'height': 180, 'weight': 76},
			 {'height': 172, 'weight': 69},
			 {'height': 178, 'weight': 73},
			 {'height': 190, 'weight': 80},
			 {'height': 187, 'weight': 82},
			 {'height': 185, 'weight': 81},
			 {'height': 183, 'weight': 80},
			 {'height': 173, 'weight': 69},
			 {'height': 175, 'weight': 65},
			 {'height': 181, 'weight': 70},
			 {'height': 173, 'weight': 69},
			 {'height': 178, 'weight': 66},
			 {'height': 183, 'weight': 80},
			 {'height': 173, 'weight': 75},
			 {'height': 174, 'weight': 80},
			 {'height': 191, 'weight': 88},
			 {'height': 187, 'weight': 85},
			 {'height': 177, 'weight': 68},
			 {'height': 178, 'weight': 79},
			 {'height': 178, 'weight': 75},
			 {'height': 178, 'weight': 72},
			 {'height': 180, 'weight': 73},
			 {'height': 190, 'weight': 87},
			 {'height': 182, 'weight': 78},
			 {'height': 182, 'weight': 90},
			 {'height': 176, 'weight': 75},
			 {'height': 181, 'weight': 74},
			 {'height': 187, 'weight': 72},
			 {'height': 177, 'weight': 75},
			 {'height': 181, 'weight': 76},
			 {'height': 174, 'weight': 71},
			 {'height': 185, 'weight': 80},
			 {'height': 187, 'weight': 83},
			 {'height': 182, 'weight': 75},
			 {'height': 177, 'weight': 70},
			 {'height': 174, 'weight': 71},
			 {'height': 181, 'weight': 74},
			 {'height': 178, 'weight': 71},
			 {'height': 183, 'weight': 80},
			 {'height': 187, 'weight': 83},
			 {'height': 175, 'weight': 69},
			 {'height': 178, 'weight': 67},
			 {'height': 173, 'weight': 74},
			 {'height': 178, 'weight': 72},
			 {'height': 180, 'weight': 80},
			 {'height': 184, 'weight': 75},
			 {'height': 191, 'weight': 100},
			 {'height': 185, 'weight': 72},
			 {'height': 175, 'weight': 75},
			 {'height': 175, 'weight': 69},
			 {'height': 170, 'weight': 70},
			 {'height': 170, 'weight': 73},
			 {'height': 170, 'weight': 70},
			 {'height': 193, 'weight': 96},
			 {'height': 189, 'weight': 77},
			 {'height': 181, 'weight': 81},
			 {'height': 188, 'weight': 86},
			 {'height': 185, 'weight': 84},
			 {'height': 183, 'weight': 83},
			 {'height': 164, 'weight': 60},
			 {'height': 194, 'weight': 90},
			 {'height': 190, 'weight': 79},
			 {'height': 190, 'weight': 83},
			 {'height': 190, 'weight': 83},
			 {'height': 179, 'weight': 78},
			 {'height': 188, 'weight': 77},
			 {'height': 193, 'weight': 82},
			 {'height': 183, 'weight': 81},
			 {'height': 186, 'weight': 80},
			 {'height': 179, 'weight': 71},
			 {'height': 189, 'weight': 81},
			 {'height': 190, 'weight': 88},
			 {'height': 186, 'weight': 78},
			 {'height': 180, 'weight': 75},
			 {'height': 185, 'weight': 85},
			 {'height': 171, 'weight': 64},
			 {'height': 185, 'weight': 74},
			 {'height': 185, 'weight': 81},
			 {'height': 183, 'weight': 84},
			 {'height': 193, 'weight': 90},
			 {'height': 172, 'weight': 70},
			 {'height': 179, 'weight': 70},
			 {'height': 180, 'weight': 65},
			 {'height': 178, 'weight': 83},
			 {'height': 170, 'weight': 64},
			 {'height': 176, 'weight': 74},
			 {'height': 182, 'weight': 76},
			 {'height': 177, 'weight': 74},
			 {'height': 173, 'weight': 69},
			 {'height': 180, 'weight': 78},
			 {'height': 184, 'weight': 84},
			 {'height': 175, 'weight': 72},
			 {'height': 186, 'weight': 84},
			 {'height': 182, 'weight': 65},
			 {'height': 182, 'weight': 72},
			 {'height': 181, 'weight': 79},
			 {'height': 171, 'weight': 72},
			 {'height': 184, 'weight': 78},
			 {'height': 177, 'weight': 68},
			 {'height': 176, 'weight': 72},
			 {'height': 189, 'weight': 88},
			 {'height': 173, 'weight': 69},
			 {'height': 176, 'weight': 68},
			 {'height': 185, 'weight': 76},
			 {'height': 178, 'weight': 75},
			 {'height': 184, 'weight': 76},
			 {'height': 172, 'weight': 75},
			 {'height': 184, 'weight': 74},
			 {'height': 180, 'weight': 70},
			 {'height': 170, 'weight': 62},
			 {'height': 178, 'weight': 70},
			 {'height': 178, 'weight': 78},
			 {'height': 180, 'weight': 70},
			 {'height': 182, 'weight': 73},
			 {'height': 190, 'weight': 80},
			 {'height': 200, 'weight': 86},
			 {'height': 187, 'weight': 77},
			 {'height': 180, 'weight': 82},
			 {'height': 192, 'weight': 86},
			 {'height': 179, 'weight': 72},
			 {'height': 188, 'weight': 71},
			 {'height': 185, 'weight': 76},
			 {'height': 178, 'weight': 72},
			 {'height': 170, 'weight': 75},
			 {'height': 171, 'weight': 71},
			 {'height': 185, 'weight': 75},
			 {'height': 175, 'weight': 68},
			 {'height': 183, 'weight': 75},
			 {'height': 172, 'weight': 71},
			 {'height': 180, 'weight': 70},
			 {'height': 178, 'weight': 73},
			 {'height': 186, 'weight': 77},
			 {'height': 173, 'weight': 71},
			 {'height': 186, 'weight': 81},
			 {'height': 180, 'weight': 68},
			 {'height': 174, 'weight': 71},
			 {'height': 180, 'weight': 75},
			 {'height': 181, 'weight': 72},
			 {'height': 191, 'weight': 88},
			 {'height': 175, 'weight': 71},
			 {'height': 177, 'weight': 72},
			 {'height': 181, 'weight': 66},
			 {'height': 183, 'weight': 78},
			 {'height': 186, 'weight': 86},
			 {'height': 181, 'weight': 74},
			 {'height': 180, 'weight': 72},
			 {'height': 185, 'weight': 80},
			 {'height': 180, 'weight': 76},
			 {'height': 186, 'weight': 74},
			 {'height': 174, 'weight': 76},
			 {'height': 176, 'weight': 70},
			 {'height': 175, 'weight': 70},
			 {'height': 188, 'weight': 77},
			 {'height': 177, 'weight': 78},
			 {'height': 170, 'weight': 73},
			 {'height': 201, 'weight': 95},
			 {'height': 170, 'weight': 68},
			 {'height': 174, 'weight': 70},
			 {'height': 184, 'weight': 65},
			 {'height': 184, 'weight': 84},
			 {'height': 178, 'weight': 78},
			 {'height': 187, 'weight': 81},
			 {'height': 191, 'weight': 86},
			 {'height': 181, 'weight': 75},
			 {'height': 192, 'weight': 88},
			 {'height': 180, 'weight': 72},
			 {'height': 175, 'weight': 70},
			 {'height': 178, 'weight': 75},
			 {'height': 191, 'weight': 79},
			 {'height': 190, 'weight': 87},
			 {'height': 175, 'weight': 66},
			 {'height': 191, 'weight': 86},
			 {'height': 177, 'weight': 75},
			 {'height': 179, 'weight': 75},
			 {'height': 186, 'weight': 81},
			 {'height': 177, 'weight': 73},
			 {'height': 173, 'weight': 78},
			 {'height': 176, 'weight': 67},
			 {'height': 184, 'weight': 85},
			 {'height': 190, 'weight': 88},
			 {'height': 176, 'weight': 72},
			 {'height': 169, 'weight': 72},
			 {'height': 172, 'weight': 73},
			 {'height': 185, 'weight': 91},
			 {'height': 186, 'weight': 75},
			 {'height': 182, 'weight': 73},
			 {'height': 190, 'weight': 82}
		];
		var axisData = [];
		for(var i=0;i<data.length;i++){
			var height = data[i].height;
			var weight = data[i].weight;
			var newArr = [height,weight];
			axisData.push(newArr);
		};
		// console.info(axisData);
		// console.log(data)
		var myCharts = echarts.init(document.querySelector(".sandian"));
		var option={
			// 区域缩放
			dataZoom:[{
				// 滑块拖动
				type:'slider',
				// 鼠标滚轮
				// type:'inside',
				// 指明设置的作用轴,一半写 0
				xAxisIndex:0,
			},
			{
				type:'slider',
				yAxisIndex:0,
				// 起始和结束位置的百分比
				start:0,
				end:80,
			}],
			// grid 是用来控制直角坐标系的布局和大小
			grid:{
				show:true,
				borderWidth: 10,
				borderColor: '#ecc4ff',
				left:30,
				top:30,
				// width: 300,
				// height: 150,
				
			},
			xAxis:{
				type:'value',
				// 脱离0值比例
				scale:true,
				// position:'top',
			},
			yAxis:{
				type:'value',
				scale:true,
			},
			series:[
				{
					// type:'scatter',
					// 涟漪动画效果
					type:'effectScatter',
					
					// 涟漪大小
					rippleEffect:{scale:3},
					// 鼠标移上去触发涟漪动画
					showEffectOn:'emphasis',
					data:axisData,
					// 散点大小
					// symbolSize:20,
					symbolSize:function(arg){
						// 回调函数 查看信息
						// console.info(arg);
						var height = arg[0]/100;
						var weight = arg[1];
						var bmi = weight / (height * height)
						if(bmi>26) {
							return 20;
						};
						return 9;
					},
					
					// 散点颜色
					itemStyle:{
						// color:'#ff55ff',
						color:function(arg){
							// console.info(arg);
							var height = arg.data[0]/100;
							var weight = arg.data[1];
							var bmi = weight / (height * height)
							if(bmi>26) {
								return '#ffaa7f'
							}
							return '#00aaff'
						},
						
					}
				},
			],
			
		};
        // 使用刚指定的配置项和数据显示图表。
        myCharts.setOption(option);
    script>
body>
html>

四、饼图

饼图实现效果展示
ECharts实现数据可视化超详细基础入门教程_第5张图片

饼图所有代码

DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8" />
		<title>饼图的基本实现title>
		<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
		<style type="text/css">
			.bing{
				width: 600px;
				height: 400px;
			}
		style>
	head>
	<body>
		<div class="bing">div>
		<script type="text/javascript">
			var mCharts = echarts.init(document.querySelector(".bing"));
			// pieData 就是需要配置给饼图的数据,数组中包含一个又一个的对象,每一个对象中需要有 name 和 value
			var pieData = [
				{name:'淘宝',value:11231},
				{name:'京东',value:22673},
				{name:'唯品会',value:6123},
				{name:'拼夕夕',value:8989},
				{name:'聚美优品',value:6700},
			];
			var option = {
				series:[
					{
						type:'pie',
						data:pieData,
						// 数值显示
						label:{ 
							show:true,
							formatter: function(arg){
								// console.info(arg);
								return arg.name+'平台花费'+arg.value+'元\n占比'+arg.percent+'%';
							},
						},
						// radius:180, 饼图的半径设置
						// 百分比设置,参照宽高中较小的那部分的一般,来进行百分比设置
						// radius: '60%',
						// 圆环设置,第0个元素代表内圆半径,第一个元素代表外圆半径
						// radius:['50%','80%'],
						// 南丁格尔图 半径是不一样,数值越大,半径越大
						roseType:'radius',
						// 选中效果,选中区域,偏离原点一段距离
						// selectedMode:'single',
						selectedMode:'multiple',
						//  偏离距离 像素点
						selectedOffset:'50',
					}
				]
			};
			// 将配置项设置给echarts对象
			mCharts.setOption(option);
		script>
	body>
html>

五、地图

地图实现效果展示
ECharts实现数据可视化超详细基础入门教程_第6张图片

地图所有代码

DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8" />
		<title>地图常见效果_显示空气质量title>
		<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
		<script src="js/jquery-3.6.0.js" type="text/javascript" charset="utf-8">script>
		<style type="text/css">
			.map{
				width: 800px;
				height: 500px;
				border: 2px solid #ff5500;
				/* background-color: #efefef; */
			}
		style>
	head>
	<body>
		<div class="map">div>
		<script type="text/javascript">
			var airData = [
			        { name: '北京', value: 39.92 },
			        { name: '天津', value: 39.13 },
			        { name: '上海', value: 31.22 },
			        { name: '重庆', value: 66 },
			        { name: '河北', value: 147 },
			        { name: '河南', value: 113 },
			        { name: '云南', value: 25.04 },
			        { name: '辽宁', value: 50 },
			        { name: '黑龙江', value: 114 },
			        { name: '湖南', value: 175 },
			        { name: '安徽', value: 117 },
			        { name: '山东', value: 92 },
			        { name: '新疆', value: 84 },
			        { name: '江苏', value: 67 },
			        { name: '浙江', value: 84 },
			        { name: '江西', value: 96 },
			        { name: '湖北', value: 273 },
			        { name: '广西', value: 59 },
			        { name: '甘肃', value: 99 },
			        { name: '山西', value: 39 },
			        { name: '内蒙古', value: 58 },
			        { name: '陕西', value: 61 },
			        { name: '吉林', value: 51 },
			        { name: '福建', value: 29 },
			        { name: '贵州', value: 71 },
			        { name: '广东', value: 38 },
			        { name: '青海', value: 57 },
			        { name: '西藏', value: 24 },
			        { name: '四川', value: 58 },
			        { name: '宁夏', value: 52 },
			        { name: '海南', value: 54 },
			        { name: '台湾', value: 88 },
			        { name: '香港', value: 66 },
			        { name: '澳门', value: 77 },
			        { name: '南海诸岛', value: 55 },
			];
			var scatterData = [{value:[117,31]}];
			var mCharts = echarts.init(document.querySelector(".map"));
			// 此处是通过使用Ajax获取地图数据
			$.get('json/map/china.json',function(ret){
				// ret 就是中国各个省份的矢量地图数据
				console.info(ret);
				echarts.registerMap('chinaMap',ret);
				var option = {
					// 配置 geo 的 type:'map'
					geo:{
						type:'map',
						map:'chinaMap',
						// 'chinaMap' 需要和 registerMap 中第一个参数保持一致
						// 设置允许缩放和拖动的效果
						roam:true,
						// 名称显示
						label:{
							show:true,
						},
					},
					series:[{
						data:airData,
						// 将 series 下的数据和 geo 关联起来
						geoIndex:0,
						type:'map',
					 },{
						 data:scatterData,
						 type:'effectScatter',
						 // 指明散点使用的系统
						 coordinateSystem:'geo',
						 // 涟漪动画效果 缩放比例
						 rippleEffect:{
							 scale:10,
						 },
					 }],
					 // 结合 visualMap
					visualMap:{
						min:0,
						max:300,
						// 控制颜色渐变范围
						inRange:{
							color:['#fff','#ff0004'],
						},
						// 出现滑块
						calculable:true,
					},
				};
			mCharts.setOption(option);
			});
			
		script>
	body>
html>

六、雷达图

效果图展示
ECharts实现数据可视化超详细基础入门教程_第7张图片

所有代码

DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8" />
		<title>雷达图的实现title>
		<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
		<style type="text/css">
			.map{
				width: 600px;
				height: 400px;
				border: 2px solid #ff5500;
			}
		style>
	head>
	<body>
		<div class="map">
		div>
		<script type="text/javascript">
			var mCharts = echarts.init(document.querySelector(".map"));
			// 设置各个维度的最大值
			var dataMax = [
				{
				name: '易用性',
				max: 100
				},
				{
				name: '功能',
				max: 100
				},
				{
				name: '拍照',
				max: 100
				},
				{
				name: '跑分',
				max: 100
				},
				{
				name: '续航',
				max: 100
				},
			];
			var option = {
				// 配置各个维度的最大值
				radar:{
					indicator:dataMax,
					// 配置雷达图最外层的图形 circle 是圆形 默认为 polygon 多边形
					shape:'polygon',
				},
				series:[
					{
						// 'radar'此图是雷达图
						type:'radar',
						// label:{
						// 	show:true,
						// },
						areaStyle:{},
						data:[
							{name:'华为',value:[80,90,60,82,90]},
							{name:'中兴',value:[70,82,75,70,78]},
							{name:'小米',value:[88,79,85,78,85]},
						],
					}
				],
			};
			// 将配置项设置给echarts对象
			mCharts.setOption(option);
		script>
	body>
html>

七、仪表盘

效果图展示
ECharts实现数据可视化超详细基础入门教程_第8张图片

所有代码

DOCTYPE html>
<html>
	<head>
		<meta charset="utf-8" />
		<title>仪表盘的实现title>
		<script src="js/echarts.min.js" type="text/javascript" charset="utf-8">script>
		<style type="text/css">
			.map{
				width: 600px;
				height: 400px;
				border: 2px solid #ff5500;
			}
		style>
	head>
	<body>
		<div class="map">
		div>
		<script type="text/javascript">
			var mCharts = echarts.init(document.querySelector(".map"));
			var option = {
				series:[
					{
						type:'gauge',
						data:[
							// 每一个对象代表一个指针
							{value:70,itemStyle:{color:'#ff5500'},},
							{value:150,itemStyle:{color:'#55aa00'},},
						],
						// 数值范围
						min:0,
						max:200,
					},
				],
			};
			// 将配置项设置给echarts对象
			mCharts.setOption(option);
		script>
	body>
html>

部分关键字代码

ECharts实现数据可视化超详细基础入门教程_第9张图片

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