angular4中引入echarts

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1. 安装 ngx-echartsnpm 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 NgxEchartsModuleecharts.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>

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