angular4中引入echarts的方法示例

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

//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"
    ]
  }]
}

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

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

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} 
{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
   }
  ]
 }

}