混合图表计算两个柱之间的差异 - ChartJS

Mixed Chart calculating difference between two bars - ChartJS

我已经使用 Chart.JS 一个多星期了,我遇到了一些问题,但现在我真的卡住了。

我需要创建类似的东西,有 1 个产品(蓝色)值,橙色的是下个月的估计值。所以我需要做的基本上是 (((a — b) * 100) / a (or b I can't really remember)) 并且这是一个标签而不是实际数据,结果将是某个百分比,将用作一个产品顶部的一行。 到目前为止,我只得到了这段代码,但它并没有像我需要的那样工作。


          {
            type: "line",
            label: monthsLabels?.mesBaseLabel,
            data: [
              productsValues?.receitaLiquidaBase[0],
              productsValues?.receitaLiquidaOrcado[0],
            ],
            fill: false,
          },
          {
            type: "line",
            label: monthsLabels?.mesOrcadoLabel,
            data: [
              productsValues?.receitaLiquidaBase[0],
              productsValues?.receitaLiquidaOrcado[0],
            ],
            // data: productsValues?.receitaLiquidaOrcado,
            fill: false,
          },
          {
            type: "bar",
            label: monthsLabels?.mesBaseLabel,
            data: productsValues?.receitaLiquidaBase,
            // [
            //   productsValues?.receitaLiquidaBase[0],
            //   productsValues?.receitaLiquidaBase[1],
            // ],
            backgroundColor: ["rgba(42,62,176, 1)"],
            borderWidth: 4,
            datalabels: {
              // anchor: "end",
              // align: "top",
              font: {
                size: 10,
              },
              rotation: -90,
              color: "white",
              formatter: (value, context) => {
                // console.log(value);
                if (value !== 0) {
                  return value?.toFixed(2).replace(/\d(?=(\d{3})+\.)/g, "$&,");
                } else {
                  return 0;
                }
              },
            },
          },
          {
            type: "bar",
            label: monthsLabels?.mesOrcadoLabel,
            data: productsValues?.receitaLiquidaOrcado,
            backgroundColor: "orange",
            borderWidth: 4,
            datalabels: {
              // anchor: "end",
              // align: "top",
              font: {
                size: 10,
              },
              rotation: -90,
              color: "black",
              formatter: (value, context) => {
                // console.log(value);
                if (value !== 0) {
                  return value?.toFixed(2).replace(/\d(?=(\d{3})+\.)/g, "$&,");
                } else {
                  return 0;
                }
              },
            },
          },

datalabel 上的对象是来自某些获取的数字数组。

您最好为此使用自定义内联插件:

var options = {
  type: 'bar',
  data: {
    labels: ["Red", "Blue", "Yellow", "Green", "Purple", "Orange"],
    datasets: [{
        label: '# of Votes',
        data: [12, 19, 3, 5, 2, 3],
        backgroundColor: 'red'
      },
      {
        label: '# of Points',
        data: [7, 11, 5, 8, 3, 7],
        backgroundColor: 'blue'
      }
    ]
  },
  options: {
    plugins: {
      customValue: {
        offset: 5,
        dash: [5, 15]
      }
    }
  },
  plugins: [{
    id: 'customValue',
    afterDraw: (chart, args, opts) => {
      const {
        ctx,
        data: {
          datasets
        },
        _metasets
      } = chart;

      datasets[1].data.forEach((dp, i) => {
        let increasePercent = dp * 100 / datasets[0].data[i] >= 100 ? Math.round((dp * 100 / datasets[0].data[i] - 100) * 100) / 100 : Math.round((100 - dp * 100 / datasets[0].data[i]) * 100) / 100 * -1;
        let barValue = `${increasePercent}%`;
        const lineHeight = ctx.measureText('M').width;
        const offset = opts.offset || 0;
        const dash = opts.dash || [];

        ctx.textAlign = 'center';

        ctx.fillText(barValue, _metasets[1].data[i].x, (_metasets[1].data[i].y - lineHeight * 1.5), _metasets[1].data[i].width);

        if (_metasets[0].data[i].y >= _metasets[1].data[i].y) {
          ctx.beginPath();
          ctx.setLineDash(dash);

          ctx.moveTo(_metasets[0].data[i].x, _metasets[0].data[i].y);
          ctx.lineTo(_metasets[0].data[i].x, _metasets[1].data[i].y - offset);
          ctx.lineTo(_metasets[1].data[i].x, _metasets[1].data[i].y - offset);
          ctx.stroke();
        } else {
          ctx.beginPath();
          ctx.setLineDash(dash);

          ctx.moveTo(_metasets[0].data[i].x, _metasets[0].data[i].y - offset);
          ctx.lineTo(_metasets[1].data[i].x, _metasets[0].data[i].y - offset);
          ctx.lineTo(_metasets[1].data[i].x, _metasets[1].data[i].y - offset - lineHeight * 2);
          ctx.stroke();
        }
      });
    }
  }]
}

var ctx = document.getElementById('chartJSContainer').getContext('2d');
new Chart(ctx, options);
<body>
  <canvas id="chartJSContainer" width="600" height="400"></canvas>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/3.4.1/chart.js"></script>
</body>