90Echarts - 散点图(Scatter Matrix)

简介: 90Echarts - 散点图(Scatter Matrix)
效果图

源代码
<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="js/echarts.min.js"></script>
  </head>
  <body>
    <!-- 为ECharts准备一个具备大小(宽高)的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
      // 基于准备好的dom,初始化echarts实例
      var myChart = echarts.init(document.getElementById('main'));
      var option;
      // Schema:
      // date,AQIindex,PM2.5,PM10,CO,NO2,SO2
      var schema = [
          {name: 'AQIindex', index: 1, text: 'AQI'},
          {name: 'PM25', index: 2, text: 'PM 2.5'},
          {name: 'PM10', index: 3, text: 'PM 10'},
          {name: 'CO', index: 4, text: 'CO'},
          {name: 'NO2', index: 5, text: 'NO₂'},
          {name: 'SO2', index: 6, text: 'SO₂'},
          {name: '等级', index: 7, text: '等级'}
      ];
      var rawData = [
          [55,9,56,0.46,18,6,"良", "北京"],
          [25,11,21,0.65,34,9,"优", "北京"],
          [56,7,63,0.3,14,5,"良", "北京"],
          [33,7,29,0.33,16,6,"优", "北京"],
          [42,24,44,0.76,40,16,"优", "北京"],
          [82,58,90,1.77,68,33,"良", "北京"],
          [74,49,77,1.46,48,27,"良", "北京"],
          [78,55,80,1.29,59,29,"良", "北京"],
          [267,216,280,4.8,108,64,"重度", "北京"],
          [185,127,216,2.52,61,27,"中度", "北京"],
          [39,19,38,0.57,31,15,"优", "北京"],
          [41,11,40,0.43,21,7,"优", "北京"],
          [64,38,74,1.04,46,22,"良", "北京"],
          [108,79,120,1.7,75,41,"轻度", "北京"],
          [108,63,116,1.48,44,26,"轻度", "北京"],
          [33,6,29,0.34,13,5,"优", "北京"],
          [94,66,110,1.54,62,31,"良", "北京"],
          [186,142,192,3.88,93,79,"中度", "北京"],
          [57,31,54,0.96,32,14,"良", "北京"],
          [22,8,17,0.48,23,10,"优", "北京"],
          [39,15,36,0.61,29,13,"优", "北京"],
          [94,69,114,2.08,73,39,"良", "北京"],
          [99,73,110,2.43,76,48,"良", "北京"],
          [31,12,30,0.5,32,16,"优", "北京"],
          [42,27,43,1,53,22,"优", "北京"],
          [154,117,157,3.05,92,58,"中度", "北京"],
          [234,185,230,4.09,123,69,"重度", "北京"],
          [160,120,186,2.77,91,50,"中度", "北京"],
          [134,96,165,2.76,83,41,"轻度", "北京"],
          [52,24,60,1.03,50,21,"良", "北京"],
          [46,5,49,0.28,10,6,"优", "北京"],
          [26,37,27,1.163,27,13,"优", "广州"],
          [85,62,71,1.195,60,8,"良", "广州"],
          [78,38,74,1.363,37,7,"良", "广州"],
          [21,21,36,0.634,40,9,"优", "广州"],
          [41,42,46,0.915,81,13,"优", "广州"],
          [56,52,69,1.067,92,16,"良", "广州"],
          [64,30,28,0.924,51,2,"良", "广州"],
          [55,48,74,1.236,75,26,"良", "广州"],
          [76,85,113,1.237,114,27,"良", "广州"],
          [91,81,104,1.041,56,40,"良", "广州"],
          [84,39,60,0.964,25,11,"良", "广州"],
          [64,51,101,0.862,58,23,"良", "广州"],
          [70,69,120,1.198,65,36,"良", "广州"],
          [77,105,178,2.549,64,16,"良", "广州"],
          [109,68,87,0.996,74,29,"轻度", "广州"],
          [73,68,97,0.905,51,34,"良", "广州"],
          [54,27,47,0.592,53,12,"良", "广州"],
          [51,61,97,0.811,65,19,"良", "广州"],
          [91,71,121,1.374,43,18,"良", "广州"],
          [73,102,182,2.787,44,19,"良", "广州"],
          [73,50,76,0.717,31,20,"良", "广州"],
          [84,94,140,2.238,68,18,"良", "广州"],
          [93,77,104,1.165,53,7,"良", "广州"],
          [99,130,227,3.97,55,15,"良", "广州"],
          [146,84,139,1.094,40,17,"轻度", "广州"],
          [113,108,137,1.481,48,15,"轻度", "广州"],
          [81,48,62,1.619,26,3,"良", "广州"],
          [56,48,68,1.336,37,9,"良", "广州"],
          [82,92,174,3.29,0,13,"良", "广州"],
          [106,116,188,3.628,101,16,"轻度", "广州"],
          [118,50,0,1.383,76,11,"轻度", "广州"],
          [91,45,125,0.82,34,23,"良", "上海"],
          [65,27,78,0.86,45,29,"良", "上海"],
          [83,60,84,1.09,73,27,"良", "上海"],
          [109,81,121,1.28,68,51,"轻度", "上海"],
          [106,77,114,1.07,55,51,"轻度", "上海"],
          [109,81,121,1.28,68,51,"轻度", "上海"],
          [106,77,114,1.07,55,51,"轻度", "上海"],
          [89,65,78,0.86,51,26,"良", "上海"],
          [53,33,47,0.64,50,17,"良", "上海"],
          [80,55,80,1.01,75,24,"良", "上海"],
          [117,81,124,1.03,45,24,"轻度", "上海"],
          [99,71,142,1.1,62,42,"良", "上海"],
          [95,69,130,1.28,74,50,"良", "上海"],
          [116,87,131,1.47,84,40,"轻度", "上海"],
          [108,80,121,1.3,85,37,"轻度", "上海"],
          [134,83,167,1.16,57,43,"轻度", "上海"],
          [79,43,107,1.05,59,37,"良", "上海"],
          [71,46,89,0.86,64,25,"良", "上海"],
          [97,71,113,1.17,88,31,"良", "上海"],
          [84,57,91,0.85,55,31,"良", "上海"],
          [87,63,101,0.9,56,41,"良", "上海"],
          [104,77,119,1.09,73,48,"轻度", "上海"],
          [87,62,100,1,72,28,"良", "上海"],
          [168,128,172,1.49,97,56,"中度", "上海"],
          [65,45,51,0.74,39,17,"良", "上海"],
          [39,24,38,0.61,47,17,"优", "上海"],
          [39,24,39,0.59,50,19,"优", "上海"],
          [93,68,96,1.05,79,29,"良", "上海"],
          [188,143,197,1.66,99,51,"中度", "上海"],
          [174,131,174,1.55,108,50,"中度", "上海"],
          [187,143,201,1.39,89,53,"中度", "上海"]
      ];
      var CATEGORY_DIM_COUNT = 6;
      var GAP = 1;
      var BASE_LEFT = 5;
      var BASE_TOP = 10;
      // var GRID_WIDTH = 220;
      // var GRID_HEIGHT = 220;
      var GRID_WIDTH = (100 - BASE_LEFT - GAP) / CATEGORY_DIM_COUNT - GAP;
      var GRID_HEIGHT = (100 - BASE_TOP - GAP) / CATEGORY_DIM_COUNT - GAP;
      var CATEGORY_DIM = 7;
      var SYMBOL_SIZE = 3;
      function retrieveScatterData(data, dimX, dimY) {
          var result = [];
          for (var i = 0; i < data.length; i++) {
              var item = [data[i][dimX], data[i][dimY]];
              item[CATEGORY_DIM] = data[i][CATEGORY_DIM];
              result.push(item);
          }
          return result;
      }
      function generateGrids(option) {
          var index = 0;
          for (var i = 0; i < CATEGORY_DIM_COUNT; i++) {
              for (var j = 0; j < CATEGORY_DIM_COUNT; j++) {
                  if (CATEGORY_DIM_COUNT - i + j >= CATEGORY_DIM_COUNT) {
                      continue;
                  }
                  option.grid.push({
                      left: BASE_LEFT + i * (GRID_WIDTH + GAP) + '%',
                      top: BASE_TOP + j * (GRID_HEIGHT + GAP) + '%',
                      width: GRID_WIDTH + '%',
                      height: GRID_HEIGHT + '%'
                  });
                  option.brush.xAxisIndex && option.brush.xAxisIndex.push(index);
                  option.brush.yAxisIndex && option.brush.yAxisIndex.push(index);
                  option.xAxis.push({
                      splitNumber: 3,
                      position: 'top',
                      axisLine: {
                          show: j === 0,
                          onZero: false
                      },
                      axisTick: {
                          show: j === 0,
                          inside: true
                      },
                      axisLabel: {
                          show: j === 0
                      },
                      type: 'value',
                      gridIndex: index,
                      scale: true
                  });
                  option.yAxis.push({
                      splitNumber: 3,
                      position: 'right',
                      axisLine: {
                          show: i === CATEGORY_DIM_COUNT - 1,
                          onZero: false
                      },
                      axisTick: {
                          show: i === CATEGORY_DIM_COUNT - 1,
                          inside: true
                      },
                      axisLabel: {
                          show: i === CATEGORY_DIM_COUNT - 1
                      },
                      type: 'value',
                      gridIndex: index,
                      scale: true
                  });
                  option.series.push({
                      type: 'scatter',
                      symbolSize: SYMBOL_SIZE,
                      xAxisIndex: index,
                      yAxisIndex: index,
                      data: retrieveScatterData(rawData, i, j)
                  });
                  option.visualMap.seriesIndex.push(option.series.length - 1);
                  index++;
              }
          }
      }
      var option = {
          animation: false,
          brush: {
              brushLink: 'all',
              xAxisIndex: [],
              yAxisIndex: [],
              inBrush: {
                  opacity: 1
              }
          },
          visualMap: {
              type: 'piecewise',
              categories: ["北京", "上海", "广州"],
              dimension: CATEGORY_DIM,
              orient: 'horizontal',
              top: 0,
              left: 'center',
              inRange: {
                  color: ['#c23531','#2f4554', '#61a0a8']
              },
              outOfRange: {
                  color: '#ddd'
              },
              seriesIndex: [0]
          },
          tooltip: {
              trigger: 'item'
          },
          parallelAxis: [
              {dim: 0, name: schema[0].text},
              {dim: 1, name: schema[1].text},
              {dim: 2, name: schema[2].text},
              {dim: 3, name: schema[3].text},
              {dim: 4, name: schema[4].text},
              {dim: 5, name: schema[5].text},
              {dim: 6, name: schema[6].text,
                  type: 'category', data: ['优', '良', '轻度', '中度', '重度', '严重']
              }
          ],
          parallel: {
              bottom: '5%',
              left: '5%',
              height: '31%',
              width: '55%',
              parallelAxisDefault: {
                  type: 'value',
                  name: 'AQI指数',
                  nameLocation: 'end',
                  nameGap: 20,
                  splitNumber: 3,
                  nameTextStyle: {
                      fontSize: 14
                  },
                  axisLine: {
                      lineStyle: {
                          color: '#555'
                      }
                  },
                  axisTick: {
                      lineStyle: {
                          color: '#555'
                      }
                  },
                  splitLine: {
                      show: false
                  },
                  axisLabel: {
                      textStyle: {
                          color: '#555'
                      }
                  }
              }
          },
          grid: [],
          xAxis: [],
          yAxis: [],
          series: [
              {
                  name: 'parallel',
                  type: 'parallel',
                  smooth: true,
                  lineStyle: {
                      normal: {
                          width: 1,
                          opacity: 0.3
                      }
                  },
                  data: rawData
              }
          ]
      };
      generateGrids(option);
      myChart.setOption(option);
    </script>
  </body>
</html>
目录
相关文章
|
前端开发
【前端图表】echarts散点图鼠标划过散点显示信息
【前端图表】echarts散点图鼠标划过散点显示信息
129 0
|
2月前
echarts中使用散点scatter更改颜色却不生效的问题
本文讨论了在ECharts中使用散点图(scatter)时更改颜色不生效的问题。原因是项目中使用了`visualMap`组件,它具有最高的优先级,导致自定义的颜色设置被覆盖。解决方法是在`visualMap`组件中增加`seriesIndex`属性,指定它只对特定的系列(series)生效,从而避免影响散点图的颜色设置。文章提供了详细的代码示例和解决办法。
62 2
195Echarts - 自定义系列(Error Scatter on Catesian)
195Echarts - 自定义系列(Error Scatter on Catesian)
22 0
245Echarts - 3D 散点图(Scatter3D - Simplex Noise)
245Echarts - 3D 散点图(Scatter3D - Simplex Noise)
63 0
244Echarts - 3D 散点图(3D Scatter with Scatter Matrix)
244Echarts - 3D 散点图(3D Scatter with Scatter Matrix)
56 0
242Echarts - 3D 散点图(3D Scatter with Dataset)
242Echarts - 3D 散点图(3D Scatter with Dataset)
140 0
241Echarts - 3D 散点图(Scatter3D)
241Echarts - 3D 散点图(Scatter3D)
201 0
211Echarts - 数据区域缩放(Error Scatter on Catesian)
211Echarts - 数据区域缩放(Error Scatter on Catesian)
34 0
158Echarts - 平行坐标系(Scatter Matrix)
158Echarts - 平行坐标系(Scatter Matrix)
31 0
|
1月前
|
小程序 前端开发 JavaScript
微信小程序图表制作利器:ECharts组件的使用与技巧
微信小程序图表制作利器:ECharts组件的使用与技巧
55 1

热门文章

最新文章