G2 - 股票波动图

             <!DOCTYPE html>
    <html>
      <head>
        <meta charset="utf-8">
        <title>股票波动图</title>
<script src="https://a.alipayobjects.com/jquery/jquery/1.11.1/jquery.js"></script>
<script src="https://gw.alipayobjects.com/as/g/datavis/g2/2.3.13/index.js"></script>
      </head>
      <body>
          <div id="c1"></div>
 <script>
$.getJSON('../../../static/data/stock-calendar.json',function(data){
  var chart = new G2.Chart({
    id: 'c1',
    forceFit: true,
    height: 450,
    plotCfg: {
      margin: [20, 80, 20, 40]
    }
  });
  // 获取当前月的第几周,从 0 开始
  function getMonthWeek(date) {
    var year = date.getFullYear();
    var month = date.getMonth();
    var monthFirst = new Date(year, month, 0);
    var intervalDays = Math.round((date.getTime() - monthFirst.getTime()) / 86400000);
    var index = Math.round((intervalDays + monthFirst.getDay()) / 7);
    return index;
  }
  // 加工数据
  // 增加涨幅、跌幅
  // 添加所属月、周几、每个月的第几周
  data.forEach(function(obj) {
    var date = new Date(obj['日期']);
    var month = date.getMonth();
    obj.month = month;
    obj.day = date.getDay();
    obj.week = getMonthWeek(date).toString();
  });

  // 对数据进行排序
  var Frame = G2.Frame;
  var frame = new Frame(data);
  frame = Frame.sort(frame, 'day');
  var defs = {
    month: {
      type: 'cat',
      values: ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", 'December']
    },
    day: {
      type: 'cat'
    },
    week: {
      type: 'cat',
      values: ['5', '4', '3', '2', '1', '0']
    },
    '涨跌幅': {
      type: 'linear',
      min: -10,
      max: 10
    },
    time: {
      type: 'time'
    }
  };
  chart.axis(false);
  chart.col('日期', {
    type: 'time'
  });
  chart.tooltip({
    map: {
      title: '日期'
    }
  });
  chart.source(frame, defs);
  chart.facet(['month'], {
    type: 'list',
    cols: 3,
    margin: 30,
    facetTitle: {
      titleOffset: 3,
      colTitle: {
        title: {
          fontSize: 14,
          textAlign: 'center',
          fill: '#000'
        }
      }
    }
  });
  chart.polygon().position('day*week*日期')
    .color('涨跌幅', '#006837-#ffffbf-#d73027')
    .style({
      lineWidth: 1,
      stroke: '#999'
    });
  chart.render();
});
</script>

      </body>
    </html>
          
        
股票波动图
色块图，由小色块有序且紧凑的组成的图表。色块图的最大好处是，2维画布上的空间利用率非常高。理论上小色块的大小是可以等于硬件像素的大小。了解更多