中使用ECharts

一、引入ECharts

2.1、直接引入echarts (安装echarts项目依赖)

npm install echarts --save
1

2.2、全局引入

(定制网站我们安装完成之后，可以在main.js定制网站中全局引入 echarts)

import echarts from "echarts";Vue.prototype.$echarts = echarts;
1
2

2.3、我们可以将Echar封装成组件的形式，方便调用

封装在组件中：封装成 Echarts.vue 文件放在ElementUI中

<template>  <div ref="chartDom" ></div></template><script>import * as echarts from 'echarts';import debounce from "lodash/debounce";import { addListener, removeListener} from "resize-detector";export default {  props: {    option: {      type: Object,      default: ()=> {}    }  },  watch: {    // option(val) {    //   this.chart.setOption(val);    // },    option: {      handler(val) {        this.chart.setOption(val);      },      deep: true    }  },  created() {    this.resize = debounce(this.resize, 300);  },  mounted() {    this.renderChart();    addListener(this.$refs.chartDom, this.resize);  },  beforeDestroy() {    removeListener(this.$refs.chartDom, this.resize);    this.chart.dispose();    this.chart = null;  },  methods:{    resize(){      this.chart.resize();    },    renderChart() {      this.chart = echarts.init(this.$refs.chartDom);      this.chart.setOption(this.option);    }  },}</script><style></style>
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52

2.4、此时我们可以通过Echart官网引入我们需要的图

Echart官网 https://echarts.apache.org/zh/index.html

例如：以所选的折柱混合图为例

引入（需要引入Echarts刚刚封装好的组件）

从Echart官网获取对应图的代码

引入代码：

<template>    <div>        <el-row>          <Echarts :option="option" style="height: 400px;width: 630px" />        </el-row>  </div></template><script>    //引入Echart的包import Echarts from "../../components/charts/Echarts";       export default {  components:{    Echarts,  },  data(){    return{      option:{  		tooltip: {    	trigger: 'axis',    	axisPointer: {      	type: 'cross',      	crossStyle: {        color: '#999'      }    }  },  toolbox: {    feature: {      dataView: { show: true, readOnly: false },      magicType: { show: true, type: ['line', 'bar'] },      restore: { show: true },      saveAsImage: { show: true }    }  },  legend: {    data: ['Evaporation', 'Precipitation', 'Temperature']  },  xAxis: [    {      type: 'category',      data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],      axisPointer: {        type: 'shadow'      }    }  ],  yAxis: [    {      type: 'value',      name: 'Precipitation',      min: 0,      max: 250,      interval: 50,      axisLabel: {        formatter: '{value} ml'      }    },    {      type: 'value',      name: 'Temperature',      min: 0,      max: 25,      interval: 5,      axisLabel: {        formatter: '{value} °C'      }    }  ],  series: [    {      name: 'Evaporation',      type: 'bar',      tooltip: {        valueFormatter: function (value) {          return value + ' ml';        }      },      data: [        2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3      ]    },    {      name: 'Precipitation',      type: 'bar',      tooltip: {        valueFormatter: function (value) {          return value + ' ml';        }      },      data: [        2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3      ]    },    {      name: 'Temperature',      type: 'line',      yAxisIndex: 1,      tooltip: {        valueFormatter: function (value) {          return value + ' °C';        }      },      data: [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]    }  ]};  },  created: function () {  },  methods:{        }}</script><style scoped></style>
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119

二、效果展示