ECharts问题--散点图中对散点添加点击事件

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我是靠谱客的博主害怕日记本，最近开发中收集的这篇文章主要介绍ECharts问题--散点图中对散点添加点击事件，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

1.　　我们这次就没有先讲解怎么使用散点图了，这个跟之前的一些图还是很类似的，不会的可以去官网上面查看 API 使用。我们这次讲解的是为散点图中的散点添加点击事件，然后在图表之外的一个 div 里面显示这个元素的一些属性，一开始我想的是使用原生 javascript 的click事件来操作，但是这个方法是不可行的，因为我们的图表是在 canvas 中的显示的，所以我们每个散点不是能够我们通过 DOM 操作来获取的，这里我们可以使用 ECharts 中的一个方法：使用下面的方法我们就可以为图表中的每个元素添加点击事件了。这里要说说明的是在官网的实例中我们看到的是下面的第一行代码跟官网的不一样，官网代码：var ecConfig = require('echarts/config'); ，如果我们这里的代码跟官网写一样的话就会报错：ReferenceError: require is not defined，这是因为我们在练习和实际的开发中很多时候是通过标签的形式引入的 echarts，这样不同于模块的引用（这里的实现是使用的 sea.js 中的 require() 方法来载入和引用模块，有兴趣的可以自己去了解一下）。

var ecConfig = echarts.config;
function eConsole(param){
sex.innerText = param.seriesName;
if(param.value.length > 1) {
height.innerText = param.value[0]+'cm';
weight.innerText = param.value[1]+'kg';
} else {
height.innerText = param.name+'cm';
weight.innerText = param.value+'kg';
}
}
//在这里做一个点击事件的监听，绑定的是eConsole方法
myChart.on(ecConfig.EVENT.CLICK, eConsole);

2.　　下面我们贴出所有的代码和显示图片：

<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title></title>
<script type="text/javascript" src="js/echarts-all.js"></script>
</head>
<body>
<div id="main" style="width: 1200px;height:500px;"></div>
<div>
性别：<span id="sex">未知</span><br />
身高：<span id="hight">未知</span><br />
体重：<span id="weight">未知</span>
</div>
</body>
<script>
var myChart = echarts.init(document.getElementById('main'));
var 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,
formatter: function(params) {
if(params.value.length > 1) {
return params.seriesName + ' :<br/>' +
params.value[0] + 'cm ' +
params.value[1] + 'kg ';
} else {
return params.seriesName + ' :<br/>' +
params.name + ' : ' +
params.value + 'kg ';
}
},
axisPointer: {
show: true,
type: 'cross',
lineStyle: {
type: 'dashed',
width: 1
}
}
},
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);
//获取三个DOM元素
var sex = document.getElementById('sex');
var height = document.getElementById('hight');
var weight = document.getElementById('weight');
var ecConfig = echarts.config;
function eConsole(param){
sex.innerText = param.seriesName;
if(param.value.length > 1) {
height.innerText = param.value[0]+'cm';
weight.innerText = param.value[1]+'kg';
} else {
height.innerText = param.name+'cm';
weight.innerText = param.value+'kg';
}
}
//在这里做一个点击事件的监听，绑定的是eConsole方法

myChart.on(ecConfig.EVENT.CLICK, eConsole);
</script>
</html>