echarts实现通用大数据可视化看板大屏效果代码

代码语言:html

所属分类:其他

代码描述:echarts实现通用大数据可视化看板大屏效果代码,地图数据实时变动,有交互动画。

代码标签: echarts 通用 大数据 可视化 看板 大屏

下面为部分代码预览,完整代码请点击下载或在bfwstudio webide中打开

<!doctype html>
<html>

<head>
    <meta charset="utf-8">
    <script type="text/javascript" src="//repo.bfw.wiki/bfwrepo/js/jquery.2.11.js"></script>
    <script type="text/javascript" src="//repo.bfw.wiki/bfwrepo/js/echarts.js"></script>
    <script type="text/javascript" src="//repo.bfw.wiki/bfwrepo/js/echart-china.js"></script>
    <script type="text/javascript">
        $(window).load(function() {
      $(".loading").fadeOut()
  });
  $(function() {
      a();
      b();
      c();
      d();

      function a() {
          var e = echarts.init(document.getElementById("echart1"));
          option = {
              tooltip: {
                  trigger: "item",
                  formatter: "{a} <br/>{b} : {c} ({d}%)"
              },
              series: [{
                  name: "占比情况",
                  type: "pie",
                  radius: "50%",
                  center: ["50%", "50%"],
                  clockwise: false,
                  data: [{
                      value: 25,
                      name: "公司1"
                  }, {
                      value: 15,
                      name: "公司2"
                  }, {
                      value: 8,
                      name: "公司3"
                  }],
                  label: {
                      normal: {
                          textStyle: {
                              color: "rgba(255,255,255,.6)",
                              fontSize: 14,
                          }
                      }
                  },
                  labelLine: {
                      normal: {
                          show: false
                      }
                  },
                  itemStyle: {
                      normal: {},
                      emphasis: {
                          borderWidth: 0,
                          shadowBlur: 10,
                          shadowOffsetX: 0,
                          shadowColor: "rgba(0, 0, 0, 0.5)"
                      }
                  }
              }],
              color: ["#62c98d", "#2f89cf", "#4cb9cf"],
          };
          e.setOption(option);
          window.addEventListener("resize", function() {
              e.resize()
          })
      }

      function b() {
          var e = echarts.init(document.getElementById("echart2"));
          var g = [
              [4, 3, 5, 9, 1, 8, 3, 7, 2, 4, 6, 4],
              [5, 5, 7, 3, 6, 8, 9, 4, 3, 7, 2, 2],
          ];
          var h = ["1月", "2月", "3月", "4月", "5月", "6月", "7月", "8月", "9月", "10月", "11月", "12月"];
          var i = ["计划数量", "销售金额"];
          var f = [];
          $.each(g, function(j, l) {
              var k = {
                  name: i[j],
                  type: "bar",
                  itemStyle: {
                      normal: {
                          color: ""
                      }
                  },
                  barWidth: "30",
                  data: l
              };
              f.push(k)
          });
          option = {
              legend: {
                  data: i,
                  type: "scroll",
                  textStyle: {
                      color: "#fff"
                  },
                  top: "0"
              },
              tooltip: {
                  trigger: "axis",
                  axisPointer: {
                      type: "shadow"
                  }
              },
              color: ["#62c98d", "#2f89cf"],
              grid: {
                  top: "14%",
                  left: "15",
                  right: "35",
                  bottom: "12%",
                  containLabel: true
              },
              xAxis: [{
                  type: "category",
                  axisLabel: {
                      textStyle: {
                          color: "rgba(255,255,255,.6)",
                      }
                  },
                  axisLine: {
                      lineStyle: {
                          color: "rgba(255,255,255,.1)"
                      }
                  },
                  data: h,
              }],
              yAxis: [{
                  name: "",
                  type: "value",
                  axisTick: {
                      show: false
                  },
                  splitLine: {
                      show: true,
                      lineStyle: {
                          color: "#2f2a7a"
                      }
                  },
                  axisLabel: {
                      textStyle: {
                          color: "rgba(255,255,255,.6)"
                      }
                  },
                  axisLine: {
                      lineStyle: {
                          color: "rgba(255,255,255,.1)"
                      }
                  },
              }],
              dataZoom: [{
                  show: true,
                  height: 12,
                  xAxisIndex: [0],
                  bottom: 5,
                  start: 10,
                  end: 80,
                  handleIcon: "path://M306.1,413c0,2.2-1.8,4-4,4h-59.8c-2.2,0-4-1.8-4-4V200.8c0-2.2,1.8-4,4-4h59.8c2.2,0,4,1.8,4,4V413z",
                  handleSize: "110%",
                  handleStyle: {
                      color: "#d3dee5",
                  },
                  textStyle: {
                      color: "#fff"
                  },
                  borderColor: "rgba(255,255,255,.3)"
              }],
              series: f
          };
          e.setOption(option);
          window.addEventListener("resize", function() {
              e.resize()
          })
      }

      function c() {
          var i = echarts.init(document.getElementById("echart3"));
          var h = {
              "上海": [121.4648, 31.2891],
              "东莞": [113.8953, 22.901],
              "东营": [118.7073, 37.5513],
              "中山": [113.4229, 22.478],
              "临汾": [111.4783, 36.1615],
              "临沂": [118.3118, 35.2936],
              "丹东": [124.541, 40.4242],
              "丽水": [119.5642, 28.1854],
              "乌鲁木齐": [87.92359999999999, 43.5883],
              "佛山": [112.8955, 23.1097],
              "保定": [115.0488, 39.0948],
              "兰州": [103.5901, 36.3043],
              "包头": [110.3467, 41.4899],
              "北京": [116.4551, 40.2539],
              "北海": [109.314, 21.6211],
              "南京": [118.8062, 31.9208],
              "南宁": [108.479, 23.1152],
              "南昌": [116.0046, 28.6633],
              "南通": [121.1023, 32.1625],
              "厦门": [118.1689, 24.6478],
              "台州": [121.1353, 28.6688],
              "合肥": [117.29, 32.0581],
              "呼和浩特": [111.4124, 40.4901],
              "咸阳": [108.4131, 34.8706],
              "哈尔滨": [127.9688, 45.368],
              "唐山": [118.4766, 39.6826],
              "嘉兴": [120.9155, 30.6354],
              "大同": [113.7854, 39.8035],
              "大连": [122.2229, 39.4409],
              "天津": [117.4219, 39.4189],
              "太原": [112.3352, 37.9413],
              "威海": [121.9482, 37.1393],
              "宁波": [121.5967, 29.6466],
              "宝鸡": [107.1826, 34.3433],
              "宿迁": [118.5535, 33.7775],
              "常州": [119.4543, 31.5582],
              "广州": [113.5107, 23.2196],
              "廊坊": [116.521, 39.0509],
              "延安": [109.1052, 36.4252],
              "张家口": [115.1477, 40.8527],
              "徐州": [117.5208, 34.3268],
              "德州": [116.6858, 37.2107],
              "惠州": [114.6204, 23.1647],
              "成都": [103.9526, 30.7617],
              "扬州": [119.4653, 32.8162],
              "承德": [117.5757, 41.4075],
              "拉萨": [91.1865, 30.1465],
              "无锡": [120.3442, 31.5527],
              "日照": [119.2786, 35.5023],
              "昆明": [102.9199, 25.4663],
              "杭州": [119.5313, 29.8773],
              "枣庄": [117.323, 34.8926],
              "柳州": [109.3799, 24.9774],
              "株洲": [113.5327, 27.0319],
              "武汉": [114.3896, 30.6628],
              "汕头": [117.1692, 23.3405],
              "江门": [112.6318, 22.1484],
              "沈阳": [123.1238, 42.1216],
              "沧州": [116.8286, 38.2104],
              "河源": [114.917, 23.9722],
              "泉州": [118.3228, 25.1147],
              "泰安": [117.0264, 36.0516],
              "泰州": [120.0586, 32.5525],
              "济南": [117.1582, 36.8701],
              "济宁": [116.8286, 35.3375],
              "海口": [110.3893, 19.8516],
              "淄博": [118.0371, 36.6064],
              "淮安": [118.927, 33.4039],
              "深圳": [114.5435, 22.5439],
              "清远": [112.9175, 24.3292],
              "温州": [120.498, 27.8119],
              "渭南": [109.7864, 35.0299],
              "湖州": [119.8608, 30.7782],
              "湘潭": [112.5439, 27.7075],
              "滨州": [117.8174, 37.4963],
              "潍坊": [119.0918, 36.524],
              "烟台": [120.7397, 37.5128],
              "玉溪": [101.9312, 23.8898],
              "珠海": [113.7305, 22.1155],
              "盐城": [120.2234, 33.5577],
              "盘锦": [121.9482, 41.0449],
              "石家庄": [114.4995, 38.1006],
              "福州": [119.4543, 25.9222],
              "秦皇岛": [119.2126, 40.0232],
              "绍兴": [120.564, 29.7565],
              "聊城": [115.9167, 36.4032],
              "肇庆": [112.1265, 23.5822],
              "舟山": [122.2559, 30.2234],
              "苏州": [120.6519, 31.3989],
              "莱芜": [117.6526, 36.2714],
              "菏泽": [115.6201, 35.2057],
              "营口": [122.4316, 40.4297],
              "葫芦岛": [120.1575, 40.578],
              "衡水": [115.8838, 37.7161],
              "衢州": [118.6853, 28.8666],
              "西宁": [101.4038, 36.8207],
              "西安": [109.1162, 34.2004],
              "贵阳": [106.6992, 26.7682],
              "连云港": [119.1248, 34.552],
              "邢台": [114.8071, 37.2821],
              "邯郸": [114.4775, 36.535],
              "郑州": [113.4668, 34.6234],
              "鄂尔多斯": [108.9734, 39.2487],
              "重庆": [107.7539, 30.1904],
              "金华": [120.0037, 29.1028],
              "铜川": [109.0393, 35.1947],
              "银川": [106.3586, 38.1775],
              "镇江": [119.4763, 31.9702],
              "长春": [125.8154, 44.2584],
              "长沙": [113.0823, 28.2568],
              "长治": [112.8625, 36.4746],
              "阳泉": [113.4778, 38.0951],
              "青岛": [120.4651, 36.3373],
              "韶关": [113.7964, 24.7028]
          };
          var e = [
              [{
                  name: "北京"
              }, {
                  name: "上海",
                  value: 95
              }],
              [{
                  name: "北京"
              }, {
                  name: "广州",
                  value: 90
              }],
              [{
                  name: "北京"
              }, {
                  name: "大连",
                  value: 80
              }],
              [{
                  name: "北京"
              }, {
                  name: "南宁",
                  value: 70
              }],
              [{
                  name: "北京"
              }, {
                  name: "南昌",
                  value: 60
              }],
              [{
                  name: "北京"
              }, {
                  name: "拉萨",
                  value: 50
              }],
              [{
                  name: "北京"
              }, {
                  name: "长春",
                  value: 40
              }],
              [{
                  name: "北京"
              }, {
                  name: "包头",
                  value: 30
              }],
              [{
                  name: "北京"
              }, {
                  name: "重庆",
                  value: 20
              }],
              [{
                  name: "北京"
              }, {
                  name: "常州",
                  value: 10
              }]
          ];
          var j = "path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z";
          var g = function(l) {
              var p = [];
              for (var o = 0; o < l.length; o++) {
                  var m = l[o];
                  var n = h[m[0].name];
                  var q = h[m[1].name];
                  if (n && q) {
                      p.push([{
                          coord: n
                      }, {
                          coord: q
                      }])
                  }
              }
              return p
          };
          var f = ["#fff"];
          var k = [];
          [
              ["北京", e]
          ].forEach(function(m, l) {
              k.push({
                  name: m[0] + "",
                  type: "lines",
                  effect: {
                      show: true,
                      period: 6,
                      trailLength: 0.7,
                      color: "#fff",
                      symbolSize: 3
                  },
                  lineStyle: {
                      normal: {
                          color: f[l],
                          width: 0,
                          curveness: 0.2
                      }
                  },
                  data: g(m[1])
              }, {
                  name: m[0],
                  type: "lines",
                  zlevel: 2,
                  effect: {
                      show: true,
                      period: 6,
                      trailLength: 0,
                      symbol: j,
                      symbolSize: 15
                  },
                  lineStyle: {
                      normal: {
                          color: f[l],
                          width: 1,
                          opacity: 0.4,
                          curveness: 0.2
                      }
                  },
                  data: g(m[1])
              }, {
                  name: m[0],
                  type: "effectScatter",
                  coordinateSystem: "geo",
                  zlevel: 2,
                  rippleEffect: {
                      brushType: "stroke"
                  },
                  label: {
                      normal: {
                          show: true,
                          fontSize: 16,
                          color: "#fff",
                          position: "right",
                          formatter: "{b}"
                      }
                  },
                  symbolSize: "10",
                  itemStyle: {
                      normal: {
                          color: f[l]
                      }
                  },
                  data: m[1].map(function(n) {
                      return {
                          name: n[1].name,
                          value: h[n[1].name].concat([n[1].value])
                      }
                  })
              })
          });
          option = {
              title: {
                  text: "全国发展路线图",
                  subtext: "副标题,不需要主删除此行",
                  left: "center",
                  top: "13%",
                  textStyle: {
                      color: "#fff"
                  }
              },
              geo: {
                  map: "china",
                  label: {
                      emphasis: {
                          show: false
                      }
                  },
                  roam: true,
                  itemStyle: {
                      normal: {
                          areaColor: "#2a91e2",
                          borderColor: "#0165b4"
                      },
                      emphasis: {
                          areaColor: "#306de8"
                      }
                  }
              },
              series: k
          };
          i.setOption(option);
          window.addEventListener("resize", function() {
              i.resize()
          })
      }

      function d() {
          var e = echarts.init(document.getElementById("echart4"));
          option = {
              tooltip: {
                  trigger: "axis",
                  axisPointer: {
                      lineStyle: {
                          color: "#57617B"
                      }
                  },
                  formatter: "{b}:<br/> 完成率{c}%"
              },
              grid: {
                  left: "0",
                  right: "20",
                  top: "10",
                  bottom: "20",
                  containLabel: true
              },
              xAxis: [{
                  type: "category",
                  boundaryGap: false,
                  axisLabel: {
                      show: true,
                      textStyle: {
                          color: "rgba(255,255,255,.6).........完整代码请登录后点击上方下载按钮下载查看

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