vue 中echarts的使用

在项目项目中,需要用到图表echarts,在这就不做解释了,只是把项目中用到的echarts记录一下

echarts官方地址: https://www.echartsjs.com/zh/index.html

echarts w3c文档: https://www.w3cschool.cn/echarts_tutorial/

vue-echarts: https://v-charts.js.org/#/

在这提一下,按需加载:

  // 引入 ECharts 主模块
  const echarts = require('echarts/lib/echarts')
  require('echarts/lib/chart/line')
  // 引入提示框和标题组件
  require('echarts/lib/component/tooltip')
  require('echarts/lib/component/title')
  require('echarts/lib/component/legend')

1.折线图,包含面的渐变

series: [{
            name: this.legendData[0],
            type: 'line',
            // smooth: true,
            symbol: 'circle',
            symbolSize: 1,
            // showSymbol: false,
            lineStyle: {
              normal: {
                width: 0
              }
            },
            // itemStyle 下的areaStyle实现面的渐变
            itemStyle: {
              normal: {
                color: 'rgb(239,69,125)',
                areaStyle : {
                  type : 'default',
                  color : new echarts.graphic.LinearGradient(0, 0, 1, 0,
                  [ {
                    offset : 0,
                    color : '#2BF4A3'
                  }, {
                    offset : 0.5,
                    color : '#14EED4'
                  }, {
                    offset : 1,
                    color : '#01E8FE'
                  } ]),
                }
              }
            },
            areaStyle: {
            },
            data: dealed,
            label: {
              show: true,
              color: '#fff',
              formatter: (params) => {
                return params.value === allData[0] ? params.value : ''
              }
            }
          }]

图例: vue 中echarts的使用_第1张图片

2.折线图,线的渐变

itemStyle: {
              normal: {
                color: 'rgb(239,69,125)',
                areaStyle : {
                  type : 'default',
                  color : new echarts.graphic.LinearGradient(0, 0, 0, 1,
                  [ {
                    offset : 0,
                    color : 'rgba(255,89,87,1)'
                  }, {
                    offset : 0.5,
                    color : 'rgba(255,89,87,0.5)'
                  }, {
                    offset : 1,
                    color : 'rgba(255,89,87,0)'
                  } ]),
                },
                // itemStyle 下的lineStyle实现线的渐变
                lineStyle: {
                  width: 2, 
                  type: 'solid', 
                  color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{ 
                      offset: 0, 
                      color: '#f63138' 
                  }, { 
                      offset: 1, 
                      color: '#fff' 
                  }]),//线条渐变色 
                } 
              }
            },

图例:

vue 中echarts的使用_第2张图片

3.地图,以百度地图为例

  需要引入

// 引入 ECharts 主模块
  const echarts = require('echarts/lib/echarts')
  const map = new BMap.Map('allmap')
  require('echarts/map/js/china')
  // require('echarts/lib/chart/scatter')
  require('echarts/lib/chart/effectScatter')
  require('echarts/extension/bmap/bmap')
  // 引入提示框和标题组件
  require('echarts/lib/component/tooltip')
  require('echarts/lib/component/title')
  require('echarts/lib/component/legend')
  export default {
    name: 'supermarketChart',
    props: {
      className: {
        type: String,
        default: 'chart'
      },
      id: {
        type: String,
        default: 'chart'
      },
      width: {
        type: String,
        default: '200px'
      },
      height: {
        type: String,
        default: '200px'
      }
    },
    data() {
      return {
        myChart: '',
        data: [
          {name: '海门', value: 9},
          {name: '鄂尔多斯', value: 12},
          {name: '招远', value: 12},
          {name: '舟山', value: 12},
          {name: '齐齐哈尔', value: 14},
          {name: '盐城', value: 15},
          {name: '赤峰', value: 16},
          {name: '青岛', value: 18},
          {name: '乳山', value: 18},
          {name: '金昌', value: 19},
          {name: '泉州', value: 21},
          {name: '莱西', value: 21},
          {name: '日照', value: 21},
          {name: '胶南', value: 22},
          {name: '南通', value: 23},
          {name: '拉萨', value: 24},
          {name: '云浮', value: 24},
          {name: '梅州', value: 25},
          {name: '文登', value: 25},
          {name: '上海', value: 25},
          {name: '攀枝花', value: 25},
          {name: '威海', value: 25},
          {name: '承德', value: 25},
          {name: '厦门', value: 26},
          {name: '汕尾', value: 26},
          {name: '潮州', value: 26},
          {name: '丹东', value: 27},
          {name: '太仓', value: 27},
          {name: '曲靖', value: 27},
          {name: '烟台', value: 28},
          {name: '福州', value: 29},
          {name: '瓦房店', value: 30},
          {name: '即墨', value: 30},
          {name: '抚顺', value: 31},
          {name: '玉溪', value: 31},
          {name: '张家口', value: 31},
          {name: '阳泉', value: 31},
          {name: '莱州', value: 32},
          {name: '湖州', value: 32},
          {name: '汕头', value: 32},
          {name: '昆山', value: 33},
          {name: '宁波', value: 33},
          {name: '湛江', value: 33},
          {name: '揭阳', value: 34},
          {name: '荣成', value: 34},
          {name: '连云港', value: 35},
          {name: '葫芦岛', value: 35},
          {name: '常熟', value: 36},
          {name: '东莞', value: 36},
          {name: '河源', value: 36},
          {name: '淮安', value: 36},
          {name: '泰州', value: 36},
          {name: '南宁', value: 37},
          {name: '营口', value: 37},
          {name: '惠州', value: 37},
          {name: '江阴', value: 37},
          {name: '蓬莱', value: 37},
          {name: '韶关', value: 38},
          {name: '嘉峪关', value: 38},
          {name: '广州', value: 38},
          {name: '延安', value: 38},
          {name: '太原', value: 39},
          {name: '清远', value: 39},
          {name: '中山', value: 39},
          {name: '昆明', value: 39},
          {name: '寿光', value: 40},
          {name: '盘锦', value: 40},
          {name: '长治', value: 41},
          {name: '深圳', value: 41},
          {name: '珠海', value: 42},
          {name: '宿迁', value: 43},
          {name: '咸阳', value: 43},
          {name: '铜川', value: 44},
          {name: '平度', value: 44},
          {name: '佛山', value: 44},
          {name: '海口', value: 44},
          {name: '江门', value: 45},
          {name: '章丘', value: 45},
          {name: '肇庆', value: 46},
          {name: '大连', value: 47},
          {name: '临汾', value: 47},
          {name: '吴江', value: 47},
          {name: '石嘴山', value: 49},
          {name: '沈阳', value: 50},
          {name: '苏州', value: 50},
          {name: '茂名', value: 50},
          {name: '嘉兴', value: 51},
          {name: '长春', value: 51},
          {name: '胶州', value: 52},
          {name: '银川', value: 52},
          {name: '张家港', value: 52},
          {name: '三门峡', value: 53},
          {name: '锦州', value: 54},
          {name: '南昌', value: 54},
          {name: '柳州', value: 54},
          {name: '三亚', value: 54},
          {name: '自贡', value: 56},
          {name: '吉林', value: 56},
          {name: '阳江', value: 57},
          {name: '泸州', value: 57},
          {name: '西宁', value: 57},
          {name: '宜宾', value: 58},
          {name: '呼和浩特', value: 58},
          {name: '成都', value: 58},
          {name: '大同', value: 58},
          {name: '镇江', value: 59},
          {name: '桂林', value: 59},
          {name: '张家界', value: 59},
          {name: '宜兴', value: 59},
          {name: '北海', value: 60},
          {name: '西安', value: 61},
          {name: '金坛', value: 62},
          {name: '东营', value: 62},
          {name: '牡丹江', value: 63},
          {name: '遵义', value: 63},
          {name: '绍兴', value: 63},
          {name: '扬州', value: 64},
          {name: '常州', value: 64},
          {name: '潍坊', value: 65},
          {name: '重庆', value: 66},
          {name: '台州', value: 67},
          {name: '南京', value: 67},
          {name: '滨州', value: 70},
          {name: '贵阳', value: 71},
          {name: '无锡', value: 71},
          {name: '本溪', value: 71},
          {name: '克拉玛依', value: 72},
          {name: '渭南', value: 72},
          {name: '马鞍山', value: 72},
          {name: '宝鸡', value: 72},
          {name: '焦作', value: 75},
          {name: '句容', value: 75},
          {name: '北京', value: 79},
          {name: '徐州', value: 79},
          {name: '衡水', value: 80},
          {name: '包头', value: 80},
          {name: '绵阳', value: 80},
          {name: '乌鲁木齐', value: 84},
          {name: '枣庄', value: 84},
          {name: '杭州', value: 84},
          {name: '淄博', value: 85},
          {name: '鞍山', value: 86},
          {name: '溧阳', value: 86},
          {name: '库尔勒', value: 86},
          {name: '安阳', value: 90},
          {name: '开封', value: 90},
          {name: '济南', value: 92},
          {name: '德阳', value: 93},
          {name: '温州', value: 95},
          {name: '九江', value: 96},
          {name: '邯郸', value: 98},
          {name: '临安', value: 99},
          {name: '兰州', value: 99},
          {name: '沧州', value: 100},
          {name: '临沂', value: 103},
          {name: '南充', value: 104},
          {name: '天津', value: 105},
          {name: '富阳', value: 106},
          {name: '泰安', value: 112},
          {name: '诸暨', value: 112},
          {name: '郑州', value: 113},
          {name: '哈尔滨', value: 114},
          {name: '聊城', value: 116},
          {name: '芜湖', value: 117},
          {name: '唐山', value: 119},
          {name: '平顶山', value: 119},
          {name: '邢台', value: 119},
          {name: '德州', value: 120},
          {name: '济宁', value: 120},
          {name: '荆州', value: 127},
          {name: '宜昌', value: 130},
          {name: '义乌', value: 132},
          {name: '丽水', value: 133},
          {name: '洛阳', value: 134},
          {name: '秦皇岛', value: 136},
          {name: '株洲', value: 143},
          {name: '石家庄', value: 147},
          {name: '莱芜', value: 148},
          {name: '常德', value: 152},
          {name: '保定', value: 153},
          {name: '湘潭', value: 154},
          {name: '金华', value: 157},
          {name: '岳阳', value: 169},
          {name: '长沙', value: 175},
          {name: '衢州', value: 177},
          {name: '廊坊', value: 193},
          {name: '菏泽', value: 194},
          {name: '合肥', value: 229},
          {name: '武汉', value: 273},
          {name: '大庆', value: 279}
        ],
        geoCoordMap: {
          '海门':[121.15,31.89],
          '鄂尔多斯':[109.781327,39.608266],
          '招远':[120.38,37.35],
          '舟山':[122.207216,29.985295],
          '齐齐哈尔':[123.97,47.33],
          '盐城':[120.13,33.38],
          '赤峰':[118.87,42.28],
          '青岛':[120.33,36.07],
          '乳山':[121.52,36.89],
          '金昌':[102.188043,38.520089],
          '泉州':[118.58,24.93],
          '莱西':[120.53,36.86],
          '日照':[119.46,35.42],
          '胶南':[119.97,35.88],
          '南通':[121.05,32.08],
          '拉萨':[91.11,29.97],
          '云浮':[112.02,22.93],
          '梅州':[116.1,24.55],
          '文登':[122.05,37.2],
          '上海':[121.48,31.22],
          '攀枝花':[101.718637,26.582347],
          '威海':[122.1,37.5],
          '承德':[117.93,40.97],
          '厦门':[118.1,24.46],
          '汕尾':[115.375279,22.786211],
          '潮州':[116.63,23.68],
          '丹东':[124.37,40.13],
          '太仓':[121.1,31.45],
          '曲靖':[103.79,25.51],
          '烟台':[121.39,37.52],
          '福州':[119.3,26.08],
          '瓦房店':[121.979603,39.627114],
          '即墨':[120.45,36.38],
          '抚顺':[123.97,41.97],
          '玉溪':[102.52,24.35],
          '张家口':[114.87,40.82],
          '阳泉':[113.57,37.85],
          '莱州':[119.942327,37.177017],
          '湖州':[120.1,30.86],
          '汕头':[116.69,23.39],
          '昆山':[120.95,31.39],
          '宁波':[121.56,29.86],
          '湛江':[110.359377,21.270708],
          '揭阳':[116.35,23.55],
          '荣成':[122.41,37.16],
          '连云港':[119.16,34.59],
          '葫芦岛':[120.836932,40.711052],
          '常熟':[120.74,31.64],
          '东莞':[113.75,23.04],
          '河源':[114.68,23.73],
          '淮安':[119.15,33.5],
          '泰州':[119.9,32.49],
          '南宁':[108.33,22.84],
          '营口':[122.18,40.65],
          '惠州':[114.4,23.09],
          '江阴':[120.26,31.91],
          '蓬莱':[120.75,37.8],
          '韶关':[113.62,24.84],
          '嘉峪关':[98.289152,39.77313],
          '广州':[113.23,23.16],
          '延安':[109.47,36.6],
          '太原':[112.53,37.87],
          '清远':[113.01,23.7],
          '中山':[113.38,22.52],
          '昆明':[102.73,25.04],
          '寿光':[118.73,36.86],
          '盘锦':[122.070714,41.119997],
          '长治':[113.08,36.18],
          '深圳':[114.07,22.62],
          '珠海':[113.52,22.3],
          '宿迁':[118.3,33.96],
          '咸阳':[108.72,34.36],
          '铜川':[109.11,35.09],
          '平度':[119.97,36.77],
          '佛山':[113.11,23.05],
          '海口':[110.35,20.02],
          '江门':[113.06,22.61],
          '章丘':[117.53,36.72],
          '肇庆':[112.44,23.05],
          '大连':[121.62,38.92],
          '临汾':[111.5,36.08],
          '吴江':[120.63,31.16],
          '石嘴山':[106.39,39.04],
          '沈阳':[123.38,41.8],
          '苏州':[120.62,31.32],
          '茂名':[110.88,21.68],
          '嘉兴':[120.76,30.77],
          '长春':[125.35,43.88],
          '胶州':[120.03336,36.264622],
          '银川':[106.27,38.47],
          '张家港':[120.555821,31.875428],
          '三门峡':[111.19,34.76],
          '锦州':[121.15,41.13],
          '南昌':[115.89,28.68],
          '柳州':[109.4,24.33],
          '三亚':[109.511909,18.252847],
          '自贡':[104.778442,29.33903],
          '吉林':[126.57,43.87],
          '阳江':[111.95,21.85],
          '泸州':[105.39,28.91],
          '西宁':[101.74,36.56],
          '宜宾':[104.56,29.77],
          '呼和浩特':[111.65,40.82],
          '成都':[104.06,30.67],
          '大同':[113.3,40.12],
          '镇江':[119.44,32.2],
          '桂林':[110.28,25.29],
          '张家界':[110.479191,29.117096],
          '宜兴':[119.82,31.36],
          '北海':[109.12,21.49],
          '西安':[108.95,34.27],
          '金坛':[119.56,31.74],
          '东营':[118.49,37.46],
          '牡丹江':[129.58,44.6],
          '遵义':[106.9,27.7],
          '绍兴':[120.58,30.01],
          '扬州':[119.42,32.39],
          '常州':[119.95,31.79],
          '潍坊':[119.1,36.62],
          '重庆':[106.54,29.59],
          '台州':[121.420757,28.656386],
          '南京':[118.78,32.04],
          '滨州':[118.03,37.36],
          '贵阳':[106.71,26.57],
          '无锡':[120.29,31.59],
          '本溪':[123.73,41.3],
          '克拉玛依':[84.77,45.59],
          '渭南':[109.5,34.52],
          '马鞍山':[118.48,31.56],
          '宝鸡':[107.15,34.38],
          '焦作':[113.21,35.24],
          '句容':[119.16,31.95],
          '北京':[116.46,39.92],
          '徐州':[117.2,34.26],
          '衡水':[115.72,37.72],
          '包头':[110,40.58],
          '绵阳':[104.73,31.48],
          '乌鲁木齐':[87.68,43.77],
          '枣庄':[117.57,34.86],
          '杭州':[120.19,30.26],
          '淄博':[118.05,36.78],
          '鞍山':[122.85,41.12],
          '溧阳':[119.48,31.43],
          '库尔勒':[86.06,41.68],
          '安阳':[114.35,36.1],
          '开封':[114.35,34.79],
          '济南':[117,36.65],
          '德阳':[104.37,31.13],
          '温州':[120.65,28.01],
          '九江':[115.97,29.71],
          '邯郸':[114.47,36.6],
          '临安':[119.72,30.23],
          '兰州':[103.73,36.03],
          '沧州':[116.83,38.33],
          '临沂':[118.35,35.05],
          '南充':[106.110698,30.837793],
          '天津':[117.2,39.13],
          '富阳':[119.95,30.07],
          '泰安':[117.13,36.18],
          '诸暨':[120.23,29.71],
          '郑州':[113.65,34.76],
          '哈尔滨':[126.63,45.75],
          '聊城':[115.97,36.45],
          '芜湖':[118.38,31.33],
          '唐山':[118.02,39.63],
          '平顶山':[113.29,33.75],
          '邢台':[114.48,37.05],
          '德州':[116.29,37.45],
          '济宁':[116.59,35.38],
          '荆州':[112.239741,30.335165],
          '宜昌':[111.3,30.7],
          '义乌':[120.06,29.32],
          '丽水':[119.92,28.45],
          '洛阳':[112.44,34.7],
          '秦皇岛':[119.57,39.95],
          '株洲':[113.16,27.83],
          '石家庄':[114.48,38.03],
          '莱芜':[117.67,36.19],
          '常德':[111.69,29.05],
          '保定':[115.48,38.85],
          '湘潭':[112.91,27.87],
          '金华':[119.64,29.12],
          '岳阳':[113.09,29.37],
          '长沙':[113,28.21],
          '衢州':[118.88,28.97],
          '廊坊':[116.7,39.53],
          '菏泽':[115.480656,35.23375],
          '合肥':[117.27,31.86],
          '武汉':[114.31,30.52],
          '大庆':[125.03,46.58]
        }
      }
    },
    mounted() {
      this.initChart()
    },
    methods: {
      convertData (data) {
        const res = [];
        for (let i = 0; i < data.length; i++) {
          const geoCoord = this.geoCoordMap[data[i].name];
          if (geoCoord) {
            res.push({
              name: data[i].name,
              value: geoCoord.concat(data[i].value)
            });
          }
        }
        return res;
      },
      initChart () {
        const myChart = echarts.init(document.getElementById(this.id))
        this.myChart = myChart
        const option = {
          title: {
            text: '永辉超市数据监控',
            textStyle: {
              color: '#fff'
            },
            padding: [20, 30],
            subtext: [
              '目前在福建、浙江、广东、重庆、贵州、四川、北京、上海', 
            '、天津、河北、安徽、江苏、河南、陕西、黑龙江、吉林、辽宁、',
            '山西、江西、湖北、湖南、云南、广西、宁夏等24个省市已发展近900家连锁超市,',
            '经营面积超过600万平方米,位居2018年中国连锁百强企业6强、中国快速消费品连锁百强4强。'].join('\n'),
            subtextStyle: {
              lineHeight: 20
            }
          },
          tooltip : {
						trigger: 'item'
          },
          geo: {
            map: 'china',
            label: {
              emphasis: {
                show: false
              }
            },
            roam: false,
            itemStyle: {
              normal: {
                areaColor: '#132937',
                borderColor: '#0692a4'
              },
              emphasis: {
                areaColor: '#191919'
              }
            },
            regions: [
              {
                name: "南海诸岛",
                value: 0,
                itemStyle: {
                  normal: {
                    opacity: 0,
                    label: {
                      show: false
                    }
                  }
                }
              }
            ]
          },
          bmap: {
            center: [104.114129, 37.550339],
            zoom: 5,
            roam: false,
            mapStyle: {
              styleJson: [{
                'featureType': 'water',
                'elementType': 'all',
                'stylers': {
                  'color': '#191919'
                }
              }, {
                'featureType': 'land',
                'elementType': 'all',
                'stylers': {
                  'color': '#191919'
                }
              }, {
                'featureType': 'railway',
                'elementType': 'all',
                'stylers': {
                  'visibility': 'off'
                }
              }, {
                'featureType': 'highway',
                'elementType': 'all',
                'stylers': {
                  // 'color': '#c0502e'
                  'visibility': 'off'
                }
              }, {
                'featureType': 'highway',
                'elementType': 'labels',
                'stylers': {
                  'visibility': 'off'
                }
              }, {
                'featureType': 'arterial',
                'elementType': 'geometry',
                'stylers': {
                  // 'color': '#fefefe'
                  'visibility': 'off'
                }
              }, {
                'featureType': 'arterial',
                'elementType': 'geometry.fill',
                'stylers': {
                  // 'color': '#fefefe'
                  'visibility': 'off'
                }
              }, {
                'featureType': 'poi',
                'elementType': 'all',
                'stylers': {
                  'visibility': 'off'
                }
              }, {
                'featureType': 'green',
                'elementType': 'all',
                'stylers': {
                  'visibility': 'off'
                }
              }, {
                'featureType': 'subway',
                'elementType': 'all',
                'stylers': {
                  'visibility': 'off'
                }
              }, {
                'featureType': 'manmade',
                'elementType': 'all',
                'stylers': {
                  // 'color': '#d1d1d1'
                  'visibility': 'off'
                }
              }, {
                'featureType': 'local',
                'elementType': 'all',
                'stylers': {
                  // 'color': '#d1d1d1'
                  'visibility': 'off'
                }
              }, {
                'featureType': 'arterial',
                'elementType': 'labels',
                'stylers': {
                  'visibility': 'off'
                }
              }, {
                'featureType': 'boundary',
                'elementType': 'all',
                'stylers': {
                  // 'color': '#fefefe'
                  'visibility': 'off'
                }
              }, {
                'featureType': 'building',
                'elementType': 'all',
                'stylers': {
                  // 'color': '#d1d1d1'
                  'visibility': 'off'
                }
              }, {
                'featureType': 'label',
                'elementType': 'labels.text.fill',
                'stylers': {
                  'visibility': 'off'
                }
              }]
            }
          },
          series: [{
            name: 'pm2.5',
            type: 'effectScatter',
            coordinateSystem: 'bmap', // bamp表示坐标是根据百度地图定位的,如果改为geo,这个时候坐标是根据中国地图定位(适用于引入china.js显示数据)
            data: this.convertData(this.data),
            symbolSize: function (val) {
              return val[2] / 10;
            },
            showEffectOn: 'render',
            rippleEffect: {
                brushType: 'stroke'
            },
            hoverAnimation: true,
            label: {
              normal: {
                formatter: '{b}',
                position: 'right',
                show: false
              },
              emphasis: {
                show: true
              }
            },
            zlevel: 1,
            itemStyle: {
              normal: {
                color: '#ff3131',
                shadowBlur: 10,
                shadowColor: '#333'
              }
            }
          }]
        }
        myChart.setOption(option)
        window.addEventListener('resize', function () {
          myChart.resize()
        })
      }
    }
  }

图例:vue 中echarts的使用_第3张图片

4.预警线

markLine: {
              symbol: 'none', // 去掉警戒线最后面的箭头
              name: '预警线',
              silent: true,
              label: {
                position: 'middle', // 将警示值放在哪个位置,三个值“start”,'middle','end'  开始  中点 结束
                formatter: '预警线',
                color:'#464646',
                fontSize: 12
              },
              data: [{
                silent: true, // 鼠标悬停事件  true没有,false有
                lineStyle: { // 警戒线的样式  ,虚实  颜色
                  type: 'dotted',
                  color:'#3a3a3a'
                },
                name: '预警线',
                yAxis: 120
              }]
            },

 

图例: vue 中echarts的使用_第4张图片

5.地图, 按省份显示



图例: vue 中echarts的使用_第5张图片

6.柱形图,border



图例: 

7,3D地球

这个需要安装echarts-gl依赖,至于图片来源,可以去官方demo中下载

推荐一个demo: https://gallery.echartsjs.com/editor.html?c=xzDlVCoY7



图例: 

 

总结,目前为止项目中就使用了这些,主要是实现3D地球和地图的时候遇到很多引入类的问题,基本都已经解决,在这做一个记录,不喜勿喷.

 

 

 

 

 

 

 

你可能感兴趣的:(web,echarts,vue)