slibra-module-web/src/views/carbon/echartOptions/index.js

import * as echarts from "echarts";
// import { init, registerMap, use } from 'echarts'
// import { Lines3DChart, Map3DChart } from 'echarts-gl/charts'
// import { Grid3DComponent } from 'echarts-gl/components'

import "echarts-gl";

function getDigitsCount(number) {
  if (number === 0) return 1;
  return Math.floor(Math.log10(Math.abs(number))) + 1;
}

function calculateAddition(number) {
  const digitsCount = getDigitsCount(number);
  return Math.pow(10, digitsCount);
}

function getMaxAndAdd(arr) {
  const maxNumber = Math.max(...arr);
  const addition = calculateAddition(maxNumber);
  return maxNumber + addition;
}

// 近7月碳排放趋势
export const echartLineOptions = (data) => {
  let seriesDataOne = [];
  let seriesDataTwo = [];
  const xAxisData = data.map(({ time, ztTotalCo2, wschytpfqd }) => {
    seriesDataOne.push(ztTotalCo2);
    seriesDataTwo.push(wschytpfqd);
    return time;
  });

  const option = {
    tooltip: {
      trigger: "axis",
      align: "left",
    },
    legend: {
      x: "center",
      y: "26px",
      icon: "rect",
      itemWidth: 14,
      itemHeight: 8,
      textStyle: {
        fontSize: "12px",
        color: "rgba(217, 247, 255, 0.7)",
      },
      data: ["碳排放量", "碳排放强度"],
    },
    grid: {
      top: "20%",
      bottom: "20%",
      left: "10%",
      right: "10%",
      // containLabel: true,
    },
    xAxis: {
      show: data.length,
      type: "category",
      data: xAxisData,
      boundaryGap: false,
      splitLine: {
        show: false,
        interval: "auto",
        lineStyle: {
          color: ["#fff"],
        },
      },
      axisTick: {
        show: false,
      },
      axisLine: {
        lineStyle: {
          color: "#8890a0",
        },
      },
      axisLabel: {
        margin: 10,
        rotate: 45,
        fontSize: 12,
        color: "#fff",
      },
    },
    yAxis: [
      {
        splitNumber: 3,
        show: data.length,
        type: "value",
        nameGap: 22,
        name: "tCO₂-eq",
        scale: true,
        axisLabel: {
          // margin: -10,
          color: "#fff",
        },
        axisLine: {
          show: false,
        },
        axisTick: {
          show: false,
        },
        splitLine: {
          lineStyle: {
            color: "#535763",
            type: "dashed",
          },
        },
      },
      {
        splitNumber: 3,
        show: data.length,
        type: "value",
        nameGap: 22,
        name: "kg CO₂-eq/m³",
        scale: true,
        axisLabel: {
          // margin: -20,
          color: "#fff",
        },
        axisTick: {
          show: false,
        },
        splitLine: {
          show: false,
        },
        // min: (value) => {
        //   return (value.min - 1).toFixed(1);
        // },
        // max: (value) => {},
      },
    ],
    series: [
      {
        name: "碳排放量",
        type: "line",
        yAxisIndex: 0,
        smooth: true,
        showSymbol: false,
        symbol: "circle",
        symbolSize: 6,
        data: seriesDataOne,
        // data: [44,14,66,77,72,99,11],
        areaStyle: {
          color: new echarts.graphic.LinearGradient(
            0,
            0,
            0,
            1,
            [
              {
                offset: 0,
                color: "rgba(0, 255, 0, 0.3)",
              },
              {
                offset: 1,
                color: "rgba(0, 255, 0, 0)",
              },
            ],
            false
          ),
        },
        itemStyle: {
          color: "#76fb4d",
        },
        lineStyle: {
          width: 1.5,
        },
        zLevel: 1,
      },
      {
        name: "碳排放强度",
        type: "line",
        smooth: true,
        showSymbol: false,
        symbol: "circle",
        symbolSize: 6,
        data: seriesDataTwo,
        yAxisIndex: 1,
        // data: [14,44,56,67,22,19,41],
        areaStyle: {
          color: new echarts.graphic.LinearGradient(
            0,
            0,
            0,
            1,
            [
              {
                offset: 0,
                color: "rgba(247, 147, 30, 1)",
              },
              {
                offset: 1,
                color: "rgba(251, 176, 59, 0.2)",
              },
            ],
            false
          ),
        },
        itemStyle: {
          color: "rgba(255, 141, 7, 1)",
        },
        lineStyle: {
          width: 1.5,
        },
        zLevel: 12,
      },
    ],
  };

  return option;
};

// 污水处理生化反应
export const echartGraphOptions = (d = []) => {
  const data = d.reverse();
  let salvProName = [
    "污水生物处理脱氮",
    "污水收集和处理",
    "外加碳源矿化",
    "化石源碳矿化",
  ];
  let maxData = getMaxAndAdd(data);
  var colorList = [
    ["rgba(0, 198, 255, 1)", "rgba(0, 198, 255, 0)"],
    ["rgba(42, 236, 60, 1)", "rgba(42, 236, 60, 0)"],
    ["rgba(255, 255, 0, 1)", "rgba(255, 255, 0, 0)"],
    ["rgba(255, 85, 0, 1)", "rgba(255, 85, 0, 0)"],
  ];

  const options = {
    grid: {
      top: "10%",
      bottom: "5%",
      left: "5%",
      right: "5%",
    },
    tooltip: {
      trigger: "axis",
      formatter: ([params]) => {
        return `${
          params.name
        }<br/><span style="display:inline-block;margin-right:5px;border-radius:10px;width:10px;height:10px;background-color:${
          params.color.colorStops[0].color
        };"></span>${params.data.value || ""}`;
      },
    },
    xAxis: [
      {
        type: "value",
        // max: maxData,
        show: false,
      },
      {
        type: "value",
        show: false,
      },
    ],
    yAxis: [
      {
        show: true,
        type: "category",
        axisTick: "none",
        axisLine: "none",
        position: "left",
        axisLabel: {
          show: true,
          margin: 10,
          align: "top",
          verticalAlign: "bottom",
          rich: {
            a: {
              padding: [24, 0, 14, 8],
              fontSize: 16,
            },
          },
          color: "#fff",
          formatter: function (params) {
            return `{a|${params || ""}}`;
          },
        },
        data: salvProName,
      },
      {
        type: "category",
        axisTick: "none",
        axisLine: "none",
        axisLabel: {
          show: true,
          fontSize: 14,
          color: "red",
          inside: true,
          padding: [-20, 0, 20, 20],
          color: "#ffffff",
          fontSize: "12",
          fontFamily: "DIN",
          fontWeight: 700,
          rich: {
            a: {
              fontSize: 18,
              color: "#fff",
              fontFamily: "D-DIN-PRO-700-Bold",
            },
            b: {
              fontSize: 14,
              paddingLeft: 10,
              color: "rgba(255,255,255,.5)",
            },
          },
          formatter: function (value) {
            let val = value;
            if (value === "null" || (!value && value !== 0)) {
              val = "";
            }
            return `{a|${val}}  {b|tCO₂-eq}`;
          },
        },
        data: data.reverse(),
      },
    ],
    series: [
      {
        // name: "进度部分",
        type: "bar",
        zlevel: 1,
        barWidth: 6,
        barGap: "0%",
        data: data.map((item, index) => {
          return {
            value: item,
            itemStyle: {
              color: new echarts.graphic.LinearGradient(1, 0, 0, 0, [
                {
                  offset: 0,
                  color: colorList[index][0],
                },
                {
                  offset: 1,
                  color: colorList[index][1],
                },
              ]),
            },
          };
        }),
      },
      {
        tooltip: {
          show: false,
        },
        name: "背景部分",
        type: "bar",
        xAxisIndex: 1,
        barWidth: 6,
        barGap: "-100%",
        data: [1, 1, 1, 1],
        itemStyle: {
          color: "#D0DEEE",
          opacity: 0.1,
        },
      },
      // 进度条的小圆圈
      {
        tooltip: {
          show: false, // 设置 tooltip 不显示
        },
        name: "小圈圈",
        type: "scatter",
        emphasis: {
          scale: false,
        },
        symbol:
          "image://data:image/png;base64,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",
        symbolSize: [20, 20],
        itemStyle: {
          color: "#FFF",
          shadowColor: "rgba(255, 255, 255, 1)",
          shadowBlur: 5,
          borderWidth: 1,
          opacity: 1,
        },
        z: 2,
        zlevel: 10,
        data: data,
        animationDelay: 500,
      },
    ],
  };
  return options;
};

// 能源药剂
export const echart3DOptions = (data = []) => {

  const isEmpty = data.every((item) => !item);

  // 传入数据生成 option
  const dataList = [
    {
      name: "电力消耗",
      val: data[0] || 0,
      itemStyle: {
        color: "rgba(245, 184, 77, 1)",
      },
    },

    {
      name: "药剂消耗",
      val: data[1] || 0,
      itemStyle: {
        color: "rgba(32, 159, 237, 1)",
      },
    },
    {
      name: "燃料消耗",
      val: data[2] || 0,
      itemStyle: {
        color: "rgba(128, 142, 199, 1)",
      },
    },

    {
      name: "净购入热力",
      val: data[3] || 0,
      itemStyle: {
        color: "rgba(239, 127, 53, 1)",
      },
    },
  ];

  const heightProportion = 0.2; // 柱状扇形的高度比例

  // 生成扇形的曲面参数方程，用于 series-surface.parametricEquation
  function getParametricEquation(
    startRatio,
    endRatio,
    isSelected,
    isHovered,
    k,
    height
  ) {
    // 计算
    let midRatio = (startRatio + endRatio) / 3;

    let startRadian = startRatio * Math.PI * 2;
    let endRadian = endRatio * Math.PI * 2;
    let midRadian = midRatio * Math.PI * 2;

    // 如果只有一个扇形，则不实现选中效果。
    if (startRatio === 0 && endRatio === 1) {
      isSelected = false;
    }

    // 通过扇形内径/外径的值，换算出辅助参数 k（默认值 1/3）
    k = typeof k !== "undefined" ? k : 1 / 3;

    // 计算选中效果分别在 x 轴、y 轴方向上的位移（未选中，则位移均为 0）
    let offsetX = isSelected ? Math.cos(midRadian) * 0.1 : 0;
    let offsetY = isSelected ? Math.sin(midRadian) * 0.1 : 0;

    // 计算高亮效果的放大比例（未高亮，则比例为 1）
    let hoverRate = isHovered ? 1.1 : 1;

    // 返回曲面参数方程
    return {
      u: {
        min: -Math.PI,
        max: Math.PI * 3,
        step: Math.PI / 32,
      },

      v: {
        min: 0,
        max: Math.PI * 2,
        step: Math.PI / 20,
      },

      x: function (u, v) {
        if (u < startRadian) {
          return (
            offsetX + Math.cos(startRadian) * (1 + Math.cos(v) * k) * hoverRate
          );
        }
        if (u > endRadian) {
          return (
            offsetX + Math.cos(endRadian) * (1 + Math.cos(v) * k) * hoverRate
          );
        }
        return offsetX + Math.cos(u) * (1 + Math.cos(v) * k) * hoverRate;
      },

      y: function (u, v) {
        if (u < startRadian) {
          return (
            offsetY + Math.sin(startRadian) * (1 + Math.cos(v) * k) * hoverRate
          );
        }
        if (u > endRadian) {
          return (
            offsetY + Math.sin(endRadian) * (1 + Math.cos(v) * k) * hoverRate
          );
        }
        return offsetY + Math.sin(u) * (1 + Math.cos(v) * k) * hoverRate;
      },

      z: function (u, v) {
        if (u < -Math.PI * 0.5) {
          return Math.sin(u);
        }
        if (u > Math.PI * 2.5) {
          return Math.sin(u);
        }
        return Math.sin(v) > 0 ? heightProportion * height : -1;
      },
    };
  }

  function getHeight3D (series, height) {
    series.sort((a, b) => {
      return b.pieData.value - a.pieData.value;
    });
    return (height * 20) / series[0].pieData.value;
  }

  // 生成模拟 3D 饼图的配置项
  function getPie3D(pieData, internalDiameterRatio) {
    let series = [];
    let sumValue = 0;
    let startValue = 0;
    let endValue = 0;
    let legendData = [];
    let linesSeries = []; // line3D模拟label指示线
    let k =
      typeof internalDiameterRatio !== "undefined"
        ? (1 - internalDiameterRatio) / (1 + internalDiameterRatio)
        : 1 / 3;

    // 为每一个饼图数据，生成一个 series-surface 配置
    for (let i = 0; i < pieData.length; i++) {
      sumValue += pieData[i].value;

      let seriesItem = {
        name:
          typeof pieData[i].name === "undefined"
            ? `series${i}`
            : pieData[i].name,
        type: "surface",
        parametric: true,
        wireframe: {
          show: false,
        },
        pieData: pieData[i],
        pieStatus: {
          selected: false,
          hovered: false,
          k: k,
        },
        z: 10,
        zlevel: 11,
      };

      if (typeof pieData[i].itemStyle != "undefined") {
        let itemStyle = {};

        typeof pieData[i].itemStyle.color != "undefined"
          ? (itemStyle.color = pieData[i].itemStyle.color)
          : null;
        typeof pieData[i].itemStyle.opacity != "undefined"
          ? (itemStyle.opacity = pieData[i].itemStyle.opacity)
          : null;

        seriesItem.itemStyle = itemStyle;
      }

      series.push(seriesItem);
    }

    // 使用上一次遍历时，计算出的数据和 sumValue，调用 getParametricEquation 函数，
    // 向每个 series-surface 传入不同的参数方程 series-surface.parametricEquation，也就是实现每一个扇形。
    for (let i = 0; i < series.length; i++) {
      endValue = startValue + series[i].pieData.value;

      series[i].pieData.startRatio = startValue / sumValue;
      series[i].pieData.endRatio = endValue / sumValue;
      series[i].parametricEquation = getParametricEquation(
        series[i].pieData.startRatio,
        series[i].pieData.endRatio,
        false,
        false,
        k,
        series[i].pieData.value
      );

      startValue = endValue;

      legendData.push(series[i].name);
    }
    series = series.concat(linesSeries);

    return series;
  }

  let total = 0;

  dataList.forEach((item) => {
    total += item.val;
  });

  const series = getPie3D(
    dataList.map((item) => {
      item.value = Number(((item.val / total) * 100).toFixed(2));
      return item;
    }),
    0.6
  );

  const boxHeight = getHeight3D(series, 15);
  
  // 准备待返回的配置项，把准备好的 legendData、series 传入。
  const option = {
    graphic: {
      elements: [
        {
          type: "image",
          style: {
            image: "https://static.fuxicarbon.com/bigModel/pc/bg-3d.png",
            width: 266,
            height: 184,
            zIndex: -1,
            background: "red",
          },
          left: "0%",
          top: "32%",
        },
      ],
    },

    legend: {
      data: dataList.map((item) => item.name),
      orient: "vertical",
      icon: "circle",
      top: "center",
      itemGap: 30,
      itemHeight: 10,
      itemWidth: 10,
      right: "4%",
      textStyle: {
        rich: {
          name: {
            width: 60,
            padding: [0, 20, 0, 0],
            fontSize: 14,
            color: "#fff",
          },
          value: {
            fontSize: 14,
            color: "rgba(157, 219, 255, 1)",
            fontFamily: "D-DIN-PRO-700-Bold",
          },
          unit: {
            fontSize: 14,
            color: "rgba(157, 219, 255, 1)",
          },
        },
        color: "red",
        fontSize: 14,
      },
      formatter: function (name) {
        const value = dataList.find((item) => item.name === name).val;
        return `{name|${name}} {value|${value}} {unit|tCO₂-eq}`;
      },
    },

    tooltip: {
      formatter: (params) => {
        if (
          params.seriesName !== "mouseoutSeries" &&
          params.seriesName !== "pie2d"
        ) {
          return `${
            params.seriesName
          }<br/><span style="display:inline-block;margin-right:5px;border-radius:10px;width:10px;height:10px;background-color:${
            params.color
          };"></span>${option.series[params.seriesIndex].pieData.val}`;
        }
      },
    },

    animation: true,

    label: {
      show: false,
    },
    xAxis3D: {
      min: -1.5,
      max: 1.5,
    },
    yAxis3D: {
      min: -1.5,
      max: 1.5,
    },
    zAxis3D: {
      min: -1,
      max: 1,
    },
    grid3D: {
      show: false,
      boxHeight: 3.5,
      top: "-6%",
      left: "-22%",
      width: "100%",
      viewControl: {
        distance: 180,
        alpha: 25,
        beta: 60,
        autoRotate: true, // 自动旋转
        zoomSensitivity: 0,
      },
    },

    series: isEmpty ? [] : series,
  };
  return option;
};

// 污泥处理 - 生化反应
export const echartColumnarOptions = (data) => {
  var imgUrl = [
    "image://data:image/png;base64,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",
    "image://data:image/png;base64,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",
    "image://data:image/png;base64,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",
    "image://data:image/png;base64,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",
    "image://data:image/png;base64,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",
    "image://data:image/png;base64,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",
  ];
  var maxList = new Array(data.length).fill(getMaxAndAdd(data));

  const CubeBack = echarts.graphic.extendShape({
    shape: {
      x: 0,
      y: 0,
    },
    buildPath: function (ctx, shape) {
      const xAxisPoint = shape.xAxisPoint;
      const c0 = [shape.x + 10, shape.y - 5]; //右上
      const c1 = [shape.x - 10, shape.y - 5]; //左上
      const c4 = [shape.x, shape.y - 5]; //上中点
      const c2 = [xAxisPoint[0] - 10, xAxisPoint[1] - 5]; //左下
      const c5 = [xAxisPoint[0], xAxisPoint[1]]; //下中点
      const c3 = [xAxisPoint[0] + 10, xAxisPoint[1] - 5]; //右下
      ctx
        .moveTo(c0[0], c0[1])
        .lineTo(c4[0], c4[1])
        .lineTo(c1[0], c1[1])
        .lineTo(c2[0], c2[1])
        .lineTo(c5[0], c5[1])
        .lineTo(c3[0], c3[1])
        .closePath();
    },
  });
  const CubeLeft = echarts.graphic.extendShape({
    shape: {
      x: 0,
      y: 0,
    },
    buildPath: function (ctx, shape) {
      const xAxisPoint = shape.xAxisPoint;
      const c0 = [shape.x, shape.y];
      const c1 = [shape.x - 12, shape.y - 7]; //左上角
      const c2 = [xAxisPoint[0] - 12, xAxisPoint[1] - 6]; //右上角
      const c3 = [xAxisPoint[0], xAxisPoint[1]];
      ctx
        .moveTo(c0[0], c0[1])
        .lineTo(c1[0], c1[1])
        .lineTo(c2[0], c2[1])
        .lineTo(c3[0], c3[1])
        .closePath();
    },
  });
  const CubeRight = echarts.graphic.extendShape({
    shape: {
      x: 0,
      y: 0,
    },
    buildPath: function (ctx, shape) {
      const xAxisPoint = shape.xAxisPoint;
      const c1 = [shape.x, shape.y];
      const c2 = [xAxisPoint[0], xAxisPoint[1]];
      const c3 = [xAxisPoint[0] + 12, xAxisPoint[1] - 6]; //右下
      const c4 = [shape.x + 12, shape.y - 6];
      ctx
        .moveTo(c1[0], c1[1])
        .lineTo(c2[0], c2[1])
        .lineTo(c3[0], c3[1])
        .lineTo(c4[0], c4[1])
        .closePath();
    },
  });
  const CubeTop = echarts.graphic.extendShape({
    shape: {
      x: 0,
      y: 0,
    },
    buildPath: function (ctx, shape) {
      const c1 = [shape.x, shape.y];
      const c2 = [shape.x + 12, shape.y - 7]; //右下  右
      const c3 = [shape.x, shape.y - 15]; //右上  上
      const c4 = [shape.x - 12, shape.y - 7];
      ctx
        .moveTo(c1[0], c1[1])
        .lineTo(c2[0], c2[1])
        .lineTo(c3[0], c3[1])
        .lineTo(c4[0], c4[1])
        .closePath();
    },
  });

  echarts.graphic.registerShape("CubeBack", CubeBack);
  echarts.graphic.registerShape("CubeLeft", CubeLeft);
  echarts.graphic.registerShape("CubeRight", CubeRight);
  echarts.graphic.registerShape("CubeTop", CubeTop);

  const option = {
    tooltip: {
      trigger: "axis",
      formatter: ([params]) => {
        return `${
          params.name
        }<br/><span style="display:inline-block;margin-right:5px;border-radius:10px;width:10px;height:10px;background-color:${
          params.color
        };"></span>${
          (!params.data && params.data != 0 ? "" : params.data) + ""
        }`;
      },
    },
    grid: {
      top: "25%",
      bottom: "5%",
      left: "5%",
      right: "5%",
      containLabel: true,
    },
    xAxis: {
      data: [
        "沼气泄露",
        "沼液",
        "好氧发酵",
        "污泥干化燃烧",
        "污泥燃烧",
        "污泥热解",
      ],
      axisLine: {
        show: false,
      },
      offset: 0,
      axisTick: {
        show: false,
      },
      axisLabel: {
        margin: 20,
        rotate: 45,
        fontSize: 12,
        color: "#fff",
      },
    },
    yAxis: {
      nameGap: 40,
      name: "tCO₂-eq",
      scale: true,
      axisLabel: {
        color: "#fff",
      },
      splitNumber: 3,
      // interval: 20,
      type: "value",
      axisLine: {
        show: false,
      },
      splitLine: {
        show: false,
      },
      axisTick: {
        show: false,
      },
      axisLabel: {
        show: true,
        color: "#fff",
      },
    },
    series: [
      {
        type: "custom",
        renderItem: (params, api) => {
          const location = api.coord([api.value(0), api.value(1)]);
          return {
            type: "group",
            children: [
              {
                type: "CubeLeft",
                shape: {
                  api,
                  xValue: api.value(0),
                  yValue: api.value(1),
                  x: location[0],
                  y: location[1],
                  xAxisPoint: api.coord([api.value(0), 0]),
                },
                style: {
                  fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
                    {
                      offset: 0,
                      color: "rgba(4, 110, 188, 0.62)",
                    },
                    {
                      offset: 1,
                      color: "rgba(184, 233, 255, 0.28)",
                    },
                  ]),
                },
              },
              {
                type: "CubeRight",
                shape: {
                  api,
                  xValue: api.value(0),
                  yValue: api.value(1),
                  x: location[0],
                  y: location[1],
                  xAxisPoint: api.coord([api.value(0), 0]),
                },
                style: {
                  fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
                    {
                      offset: 0,
                      color: "rgba(4, 110, 188, .1)",
                    },
                    {
                      offset: 1,
                      color: "rgba(4, 110, 188, .3)",
                    },
                  ]),
                },
              },
              {
                type: "CubeTop",
                shape: {
                  api,
                  xValue: api.value(0),
                  yValue: api.value(1),
                  x: location[0],
                  y: location[1],
                  xAxisPoint: api.coord([api.value(0), 0]),
                },
                style: {
                  fill: "rgba(4, 110, 188, .4)",
                },
              },
            ],
          };
        },
        tooltip: {
          show: false,
        },
        data: maxList,
      },
      {
        zlevel: 1,
        z: -1,
        color: "#3d98df",
        type: "custom",
        name: "",
        barWidth: 10,
        renderItem: (params, api) => {
          const location = api.coord([api.value(0), api.value(1)]);
          return {
            type: "group",
            children: [
              {
                type: "CubeLeft",
                shape: {
                  api,
                  xValue: api.value(0),
                  yValue: api.value(1),
                  x: location[0],
                  y: location[1],
                  xAxisPoint: api.coord([api.value(0), 0]),
                },
                style: {
                  fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
                    {
                      offset: 0,
                      color: "rgba(0, 183, 238, 0.82)",
                    },
                    {
                      offset: 1,
                      color: "rgba(0, 176, 231, 0.1)",
                    },
                  ]),
                },
              },
              {
                type: "CubeRight",
                shape: {
                  api,
                  xValue: api.value(0),
                  yValue: api.value(1),
                  x: location[0],
                  y: location[1],
                  xAxisPoint: api.coord([api.value(0), 0]),
                },
                style: {
                  fill: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
                    {
                      offset: 0,
                      color: "rgba(0, 183, 238, 0.2)",
                    },
                    {
                      offset: 1,
                      color: "rgba(0, 176, 231, 0.1)",
                    },
                  ]),
                },
              },
              {
                type: "CubeTop",
                shape: {
                  api,
                  xValue: api.value(0),
                  yValue: api.value(1),
                  x: location[0],
                  y: location[1],
                  xAxisPoint: api.coord([api.value(0), 0]),
                },
                style: {
                  fill: "rgba(80,176,230, .9)",
                },
              },
            ],
          };
        },
        data: data,
      },
      {
        name: "",
        type: "pictorialBar",
        z: 13,
        tooltip: {
          show: false,
        },
        label: {
          show: false,
          position: [70, -60],
          color: "#74D3FF",
          formatter: function (params) {
            return "{a|" + params.data.val + "} {b|%}";
          },
          rich: {
            a: {
              fontSize: 22,
              verticalAlign: "bottom",
              fontWeight: "bolder",
            },
            b: {
              fontSize: 12,
              verticalAlign: "bottom",
              fontWeight: "bolder",
            },
          },
        },
        data: data.map((item, index) => {
          return {
            name: "",
            value: item,
            val: item,
            symbol: imgUrl[index],
            symbolPosition: "start",
            symbolOffset: [0, 10],
            symbolSize: [60, 60],
            color: "red",
          };
        }),
      },
    ],
  };

  return option;
};