Comment introduire des graphiques électroniques dans Angular4 (exemple de code)

Le contenu de cet article concerne la méthode (exemple de code) d'introduction des echarts dans angulaire4. Il a une certaine valeur de référence. Les amis dans le besoin peuvent s'y référer.

1. Installez ngx-echarts

npm install echarts --save

npm install ngx-echarts --save

2. project 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. Utilisez 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

dans le module où vous avez vraiment besoin d'utiliser les instructions echarts

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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