vue-cli中使用echarts

首先在vue脚手架项目中安装echarts 执行npm i echarts --save 或者cnpm i echarts --save

然后在main.js中进行配置

import echarts from 'echarts'
Vue. prototype. $echarts = echarts

然后在组件中设计echarts图表

< template >
< div id= "myChart" :style="{ width: '800px', height: '500px'}" ></ div >
</ template >
< script >
export default {
name: 'hello',
data () {
return {
msg: 'Welcome to Your Vue.js App'
}
},
mounted(){
this. drawLine();
},
methods: {
drawLine(){
// 基于准备好的dom,初始化echarts实例
let myChart = this. $echarts. init( document. getElementById( 'myChart'))
var dataBJ = [
[ 55, 9, 56, 0.46, 18, 6, 1],
[ 25, 11, 21, 0.65, 34, 9, 2],
[ 56, 7, 63, 0.3, 14, 5, 3],
[ 33, 7, 29, 0.33, 16, 6, 4],
[ 42, 24, 44, 0.76, 40, 16, 5],
[ 82, 58, 90, 1.77, 68, 33, 6],
[ 74, 49, 77, 1.46, 48, 27, 7],
[ 78, 55, 80, 1.29, 59, 29, 8],
[ 267, 216, 280, 4.8, 108, 64, 9],
[ 185, 127, 216, 2.52, 61, 27, 10],
[ 39, 19, 38, 0.57, 31, 15, 11],
[ 41, 11, 40, 0.43, 21, 7, 12],
[ 64, 38, 74, 1.04, 46, 22, 13],
[ 108, 79, 120, 1.7, 75, 41, 14],
[ 108, 63, 116, 1.48, 44, 26, 15],
[ 33, 6, 29, 0.34, 13, 5, 16],
[ 94, 66, 110, 1.54, 62, 31, 17],
[ 186, 142, 192, 3.88, 93, 79, 18],
[ 57, 31, 54, 0.96, 32, 14, 19],
[ 22, 8, 17, 0.48, 23, 10, 20],
[ 39, 15, 36, 0.61, 29, 13, 21],
[ 94, 69, 114, 2.08, 73, 39, 22],
[ 99, 73, 110, 2.43, 76, 48, 23],
[ 31, 12, 30, 0.5, 32, 16, 24],
[ 42, 27, 43, 1, 53, 22, 25],
[ 154, 117, 157, 3.05, 92, 58, 26],
[ 234, 185, 230, 4.09, 123, 69, 27],
[ 160, 120, 186, 2.77, 91, 50, 28],
[ 134, 96, 165, 2.76, 83, 41, 29],
[ 52, 24, 60, 1.03, 50, 21, 30],
[ 46, 5, 49, 0.28, 10, 6, 31]
];

var dataGZ = [
[ 26, 37, 27, 1.163, 27, 13, 1],
[ 85, 62, 71, 1.195, 60, 8, 2],
[ 78, 38, 74, 1.363, 37, 7, 3],
[ 21, 21, 36, 0.634, 40, 9, 4],
[ 41, 42, 46, 0.915, 81, 13, 5],
[ 56, 52, 69, 1.067, 92, 16, 6],
[ 64, 30, 28, 0.924, 51, 2, 7],
[ 55, 48, 74, 1.236, 75, 26, 8],
[ 76, 85, 113, 1.237, 114, 27, 9],
[ 91, 81, 104, 1.041, 56, 40, 10],
[ 84, 39, 60, 0.964, 25, 11, 11],
[ 64, 51, 101, 0.862, 58, 23, 12],
[ 70, 69, 120, 1.198, 65, 36, 13],
[ 77, 105, 178, 2.549, 64, 16, 14],
[ 109, 68, 87, 0.996, 74, 29, 15],
[ 73, 68, 97, 0.905, 51, 34, 16],
[ 54, 27, 47, 0.592, 53, 12, 17],
[ 51, 61, 97, 0.811, 65, 19, 18],
[ 91, 71, 121, 1.374, 43, 18, 19],
[ 73, 102, 182, 2.787, 44, 19, 20],
[ 73, 50, 76, 0.717, 31, 20, 21],
[ 84, 94, 140, 2.238, 68, 18, 22],
[ 93, 77, 104, 1.165, 53, 7, 23],
[ 99, 130, 227, 3.97, 55, 15, 24],
[ 146, 84, 139, 1.094, 40, 17, 25],
[ 113, 108, 137, 1.481, 48, 15, 26],
[ 81, 48, 62, 1.619, 26, 3, 27],
[ 56, 48, 68, 1.336, 37, 9, 28],
[ 82, 92, 174, 3.29, 0, 13, 29],
[ 106, 116, 188, 3.628, 101, 16, 30],
[ 118, 50, 0, 1.383, 76, 11, 31]
];

var dataSH = [
[ 91, 45, 125, 0.82, 34, 23, 1],
[ 65, 27, 78, 0.86, 45, 29, 2],
[ 83, 60, 84, 1.09, 73, 27, 3],
[ 109, 81, 121, 1.28, 68, 51, 4],
[ 106, 77, 114, 1.07, 55, 51, 5],
[ 109, 81, 121, 1.28, 68, 51, 6],
[ 106, 77, 114, 1.07, 55, 51, 7],
[ 89, 65, 78, 0.86, 51, 26, 8],
[ 53, 33, 47, 0.64, 50, 17, 9],
[ 80, 55, 80, 1.01, 75, 24, 10],
[ 117, 81, 124, 1.03, 45, 24, 11],
[ 99, 71, 142, 1.1, 62, 42, 12],
[ 95, 69, 130, 1.28, 74, 50, 13],
[ 116, 87, 131, 1.47, 84, 40, 14],
[ 108, 80, 121, 1.3, 85, 37, 15],
[ 134, 83, 167, 1.16, 57, 43, 16],
[ 79, 43, 107, 1.05, 59, 37, 17],
[ 71, 46, 89, 0.86, 64, 25, 18],
[ 97, 71, 113, 1.17, 88, 31, 19],
[ 84, 57, 91, 0.85, 55, 31, 20],
[ 87, 63, 101, 0.9, 56, 41, 21],
[ 104, 77, 119, 1.09, 73, 48, 22],
[ 87, 62, 100, 1, 72, 28, 23],
[ 168, 128, 172, 1.49, 97, 56, 24],
[ 65, 45, 51, 0.74, 39, 17, 25],
[ 39, 24, 38, 0.61, 47, 17, 26],
[ 39, 24, 39, 0.59, 50, 19, 27],
[ 93, 68, 96, 1.05, 79, 29, 28],
[ 188, 143, 197, 1.66, 99, 51, 29],
[ 174, 131, 174, 1.55, 108, 50, 30],
[ 187, 143, 201, 1.39, 89, 53, 31]
];

var lineStyle = {
normal: {
width: 1,
opacity: 0.5
}
};
// 绘制图表
myChart. setOption({
backgroundColor: '#161627',
title: {
text: 'AQI - 雷达图',
left: 'center',
textStyle: {
color: '#eee'
}
},
legend: {
bottom: 5,
data: [ '北京', '上海', '广州'],
itemGap: 20,
textStyle: {
color: '#fff',
fontSize: 14
},
selectedMode: 'single'
},
// visualMap: {
// show: true,
// min: 0,
// max: 20,
// dimension: 6,
// inRange: {
// colorLightness: [0.5, 0.8]
// }
// },
radar: {
indicator: [
{ name: 'AQI', max: 300},
{ name: 'PM2.5', max: 250},
{ name: 'PM10', max: 300},
{ name: 'CO', max: 5},
{ name: 'NO2', max: 200},
{ name: 'SO2', max: 100}
],
shape: 'circle',
splitNumber: 5,
name: {
textStyle: {
color: 'rgb(238, 197, 102)'
}
},
splitLine: {
lineStyle: {
color: [
'rgba(238, 197, 102, 0.1)', 'rgba(238, 197, 102, 0.2)',
'rgba(238, 197, 102, 0.4)', 'rgba(238, 197, 102, 0.6)',
'rgba(238, 197, 102, 0.8)', 'rgba(238, 197, 102, 1)'
]. reverse()
}
},
splitArea: {
show: false
},
axisLine: {
lineStyle: {
color: 'rgba(238, 197, 102, 0.5)'
}
}
},
series: [
{
name: '北京',
type: 'radar',
lineStyle: lineStyle,
data: dataBJ,
symbol: 'none',
itemStyle: {
normal: {
color: '#F9713C'
}
},
areaStyle: {
normal: {
opacity: 0.1
}
}
},
{
name: '上海',
type: 'radar',
lineStyle: lineStyle,
data: dataSH,
symbol: 'none',
itemStyle: {
normal: {
color: '#B3E4A1'
}
},
areaStyle: {
normal: {
opacity: 0.05
}
}
},
{
name: '广州',
type: 'radar',
lineStyle: lineStyle,
data: dataGZ,
symbol: 'none',
itemStyle: {
normal: {
color: 'rgb(238, 197, 102)'
}
},
areaStyle: {
normal: {
opacity: 0.05
}
}
}
]
});
}
}
}
</ script >
< style lang= "scss" scoped >
#myChart{
position: relative;
top: 0;
left: 0;
canvas {
position: absolute;
bottom: 0;
}
}
</ style >

在需要的组件中进行导入就可以了

< template >
< div class= "container" >
< echarts ></ echarts >
</ div >
</ template >
< script >
import echarts from "./subcomponents/hello"
export default {
data() {
return {
}
},
components: {
echarts,
}
}
</ script >
< style lang= "scss" scoped >

</ style >

最终出来的就是这样的


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转载自blog.csdn.net/hailangtuteng/article/details/80414747