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angular4中引入echarts的方法示例

更新时间:2020-08-13 16:00:01 作者:startmvc
1.安装ngx-echartsnpminstallecharts--savenpminstallngx-echarts--save2.在项目中引入echarts//angular-cli.json文件

1.安装ngx-echarts


npm install echarts --save
npm install ngx-echarts --save

2.在项目中引入echarts


//angular-cli.json文件

{
 "apps": [{
 "scripts":[
 "../node_modules/echarts/dist/echarts.min.js",
 "../node_modules/echarts/map/js/china.js",
 "../node_modules/echarts/dist/extension/bmap.js"
 ]
 }]
}

3.使用 在你真正需要使用echarts指令的module中import NgxEchartsModule

echarts.module.ts


import { NgModule } from '@angular/core';
import { EchartsComponent } from './echarts/echarts.component';
import { NgxEchartsModule } from 'ngx-echarts';

@NgModule({
 imports: [
 NgxEchartsModule 
 ],
 declarations: [EchartsComponent],
})
export class EchartsModule { }

echarts.component.ts


import { Component, OnInit } from '@angular/core';

@Component({
 selector: 'app-echarts',
 templateUrl: './echarts.component.html',
 styleUrls: ['./echarts.component.scss']
})
export class EchartsComponent implements OnInit {
 showloading:boolean = true;

 constructor() { 
 
 setTimeout(()=> {
 this.showloading = false;
 }, 3000);
 }

 ngOnInit() {
 }

 chartOption = {
 title: {
 text: '堆叠区域图'
 },
 tooltip: {
 trigger: 'axis'
 },
 legend: {
 data: ['邮件营销', '联盟广告', '视频广告', '直接访问', '搜索引擎']
 },
 toolbox: {
 feature: {
 saveAsImage: {}
 }
 },
 grid: {
 left: '3%',
 right: '4%',
 bottom: '3%',
 containLabel: true
 },
 xAxis: [
 {
 type: 'category',
 boundaryGap: false,
 data: ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
 }
 ],
 yAxis: [
 {
 type: 'value'
 }
 ],
 series: [
 {
 name: '邮件营销',
 type: 'line',
 stack: '总量',
 areaStyle: { normal: {} },
 data: [120, 132, 101, 134, 90, 230, 210]
 },
 {
 name: '联盟广告',
 type: 'line',
 stack: '总量',
 areaStyle: { normal: {} },
 data: [220, 182, 191, 234, 290, 330, 310]
 },
 {
 name: '视频广告',
 type: 'line',
 stack: '总量',
 areaStyle: { normal: {} },
 data: [150, 232, 201, 154, 190, 330, 410]
 },
 {
 name: '直接访问',
 type: 'line',
 stack: '总量',
 areaStyle: { normal: {} },
 data: [320, 332, 301, 334, 390, 330, 320]
 },
 {
 name: '搜索引擎',
 type: 'line',
 stack: '总量',
 label: {
 normal: {
 show: true,
 position: 'top'
 }
 },
 areaStyle: { normal: {} },
 data: [820, 932, 901, 934, 1290, 1330, 1320]
 }
 ]
 }

 Baroptions = {
 tooltip: {
 trigger: 'item',
 formatter: "{a} <br/>{b}: {c} ({d}%)"
 },
 legend: {
 orient: 'vertical',
 x: 'left',
 data: ['直达', '营销广告', '搜索引擎', '邮件营销', '联盟广告', '视频广告', '百度', '谷歌', '必应', '其他']
 },
 series: [
 {
 name: '访问来源',
 type: 'pie',
 selectedMode: 'single',
 radius: [0, '30%'],

 label: {
 normal: {
 position: 'inner'
 }
 },
 labelLine: {
 normal: {
 show: false
 }
 },
 data: [
 { value: 335, name: '直达', selected: true },
 { value: 679, name: '营销广告' },
 { value: 1548, name: '搜索引擎' }
 ]
 },
 {
 name: '访问来源',
 type: 'pie',
 radius: ['40%', '55%'],

 data: [
 { value: 335, name: '直达' },
 { value: 310, name: '邮件营销' },
 { value: 234, name: '联盟广告' },
 { value: 135, name: '视频广告' },
 { value: 1048, name: '百度' },
 { value: 251, name: '谷歌' },
 { value: 147, name: '必应' },
 { value: 102, name: '其他' }
 ]
 }
 ]
 }


 linkoption = {
 title: {
 text: '懒猫今日访问量'
 },
 color: ['#3398DB'],
 //气泡提示框,常用于展现更详细的数据
 tooltip: {
 trigger: 'axis',
 axisPointer: { // 坐标轴指示器,坐标轴触发有效
 type: 'shadow' // 默认为直线,可选为:'line' | 'shadow'
 }
 },
 toolbox: {
 show: true,
 feature: {
 //显示缩放按钮
 dataZoom: {
 show: true
 },
 //显示折线和块状图之间的切换
 magicType: {
 show: true,
 type: ['bar', 'line']
 },
 //显示是否还原
 restore: {
 show: true
 },
 //是否显示图片
 saveAsImage: {
 show: true
 }
 }
 },
 grid: {
 left: '3%',
 right: '4%',
 bottom: '3%',
 containLabel: true
 },
 xAxis: [{
 type: 'category',
 data: [21231,1212,21231,3213],
 axisTick: {
 alignWithLabel: true
 },
 axisLabel: {
 interval: 0,
 rotate: 20
 },
 }],
 yAxis: [{
 name: "懒猫今日访问量",
 type: 'value'
 }],
 series: [{
 name: '今日访问次数',
 type: 'bar',
 barWidth: '60%',
 label: {
 normal: {
 show: true
 }
 },
 data:[21231,1212,21231,3213]
 }]
 }


 datamapvalue = [
 {name: '海门', value: [121.15,31.89,9]},
 {name: '鄂尔多斯', value: [109.781327,39.608266,12]},
 {name: '招远', value: [120.38,37.35,12]},
 {name: '舟山', value: [122.207216,29.985295,12]},
 {name: '齐齐哈尔', value: [123.97,47.33,14]},
 {name: '盐城', value: [120.13,33.38,15]},
 {name: '赤峰', value: [118.87,42.28,16]},
 {name: '青岛', value: [120.33,36.07,18]},
 {name: '乳山', value: [121.52,36.89,18]},
 {name: '金昌', value: [102.188043,38.520089,19]}
 ];


 mapoption = {
 backgroundColor: '#404a59',
 title: {
 text: '全国主要城市空气质量',
 subtext: 'data from PM25.in',
 sublink: 'http://www.pm25.in',
 left: 'center',
 textStyle: {
 color: '#fff'
 }
 },
 tooltip: {
 trigger: 'item'
 },
 legend: {
 orient: 'vertical',
 y: 'bottom',
 x: 'right',
 data: ['pm2.5'],
 textStyle: {
 color: '#fff'
 }
 },
 geo: {
 map: 'china',
 label: {
 emphasis: {
 show: false
 }
 },
 roam: true,
 itemStyle: {
 normal: {
 areaColor: '#323c48',
 borderColor: '#111'
 },
 emphasis: {
 areaColor: '#2a333d'
 }
 }
 },
 series: [
 {
 name: 'pm2.5',
 type: 'scatter',
 coordinateSystem: 'geo',
 data: this.datamapvalue,
 symbolSize: function (val) {
 return val[2] / 10;
 },
 label: {
 normal: {
 formatter: '{b}',
 position: 'right',
 show: false
 },
 emphasis: {
 show: true
 }
 },
 itemStyle: {
 normal: {
 color: '#ddb926'
 }
 }
 },
 {
 name: 'Top 5',
 type: 'effectScatter',
 coordinateSystem: 'geo',
 data: this.datamapvalue,
 symbolSize: function (val) {
 return val[2] / 10;
 },
 showEffectOn: 'render',
 rippleEffect: {
 brushType: 'stroke'
 },
 hoverAnimation: true,
 label: {
 normal: {
 formatter: '{b}',
 position: 'right',
 show: true
 }
 },
 itemStyle: {
 normal: {
 color: '#f4e925',
 shadowBlur: 10,
 shadowColor: '#333'
 }
 },
 zlevel: 1
 }
 ]
 }

}

echarts.component.html


<div echarts [options] = "chartOption" [loading]="showloading" class="demo-chart"></div>
 <div echarts [options] = "Baroptions" [loading]="showloading" class="demo-chart"></div>
 <div echarts [options] = "linkoption" [loading]="showloading" class="demo-chart"></div>
 <div echarts [options] = "mapoption" [loading]="showloading" class="demo-chart"></div>

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。

angular4 引入echarts