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
}
${params.data.value || ""}`;
},
},
xAxis: [
{
type: "value",
// max: maxData,
show: false,
},
{
type: "value",
show: false,
},
],
yAxis: [
{
show: true,
type: "category",
axisTick: "none",
axisLine: "none",
position: "left",
axisLabel: {
show: true,
margin: 10,
align: "top",
verticalAlign: "bottom",
rich: {
a: {
padding: [24, 0, 14, 8],
fontSize: 16,
},
},
color: "#fff",
formatter: function (params) {
return `{a|${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
}
${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 = [
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",
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JhrLnnZTBmILt0W3/nGauplTtZMeddE+ta2heneBCJ76lc+OJ1nV6p5Fojy9Fjbe7/z0g23iV/WQA8+81wJ9WczAaD88mP3lZc7djlY5TSZnbqfJNSq/qsg72l/9wVWObElYpXPLgfzerP1DrV/Ugbx9KrrSEJNm3N3zqW3Grt4+bHHygDm7Kl48JlXlt3oeEkDfe93XiqiuKOkQyWCLJ9Zi3ECBUxVh9sNmxITFDPUSmUsOy9cTWbxzen1puulcNfQaupnThpOt09np7uxBl5+7L5ykOUzWiuBIkr93zpeWOq462YY+o8fD3A5b89ljiALpgY/+UBlLRmwYUrl8vm9TBRIBgzVn6RZiQxl5wwQbfi44VaRBdo+PUFvr7qeJANljPd0I7qyUruYz+AnH6gcfmGIs6mLnRWJjv7jx/PFY6ULPOiTzLI2EXVZUSJbK63Rc15Do7yTiQNLHNCsXKEugGtjbF66lQgCrLJ+ruqZmTzQyPjfsYf2VCFRiUWJahNR15PMC4YhF3jQt46+vk2SUSIIa6f++j0Nz3FbZD1i0aL6xW0KYWc/nJXCAgZZpKy7Fzx4FjKpJ0oAqbnyX1wfN9LBptBoXQ1+7IHJ/udOBdKa6K2jr28DcHnuu6v20n98pKAg4izXdnD07vFGLggA5epkyMzBTf/T9bKmx/c2en3PyknNlV1L1cNKpIUp1Liyplmp+Qx+/+4xEcWcV0Vcn8+vc9WD2nSq0wpFAQVTeKrxJf0GVUlCqMU33EqkQflAjSs/jqKCnz1aB9Ly+D0shFptPc1JK6Yb34TuCFnx8PGyKna2y5ruBjACzBrowedeKWHSBlk8o19+7H0NtTvn6CrdMXk5O6GA+rYZhGvbZ6xEv5D++NG9wS9+txl58SzPcPmF+5lMB4FWVT/z9QL6Go64QD3U3/fdEyWRh8HBZ14pnXzq0IwCgCJQygtEOYLJZlwIACSrXFCQWmTzFiML0Pyds26g55i5c7Q2OLw9OnyqWXnyLGQqf6OnZkcfvNaCXHn9zOkCyBRR0yJdLoLJsEA9xQKXAMyIgedYkZBJKIhOfv/gmoaUlmJ7+cVpSFFmEuraf6jV6JP5yEffSX98b7Py5LnGVH6mZ7T2yhON1A8TlJDJhelssmmLxk9+/2BFqtCSkMkRZiHeCU4lLATlJGcaXf08n2effcpI0TbIhIAIwVrljDn/S8O17x1uVr48wCX904OXspeeBHGp0fqJRNeZwUP9zXuq4QhZFVCNhaBv/cVbbao9NEVQAjM20TTvOUdB7Tye2Ym/yeAIWNiGWY1MzeTDZ6p/tnNHcN/RguhtWjNkq2HEZDRSe/GhzEy9n+eF9bXWCwPYFr3rxJkmOjYAUDqrZHFSzMVEpJRWEsiFautq+gNnr//xJy/f9rf+/fM5Vx4jABDA3E9ZrW649q6L+nhvRF3HewsfebHZed3sXM5evGs6ffuj1uoOYK58BcjWC3gt9ROLzu9TgZv+nvj2KZld7MxFFBQjxUkYcM1S8oG+VS/HXwky7PxWrmsfIWsTMGBp3uDrqnQGs+mu8Ohjb1X/2wcKYucP90SPvNTkDUc2nbyUv7xvSp951Jh0HwAw0bzyZdgF+irqg+TE7ds+/t+PfrW36XZTffxOE/zkLSIjJD144tW7gRA/fd8drzf7QnP0/dpXP5SZmd8CcG2MYo4GdCI5UZI7j/aqB080P9e3Npfsyf1T+u0BY2r7m1Xe8/VQdHx9+L987n80O99zPHji9N0AQH/t5bdvZzYB52NvreWhppXS+7e//Hdzzp5wkTYJNa5sfHZbeOCFLrr3nQ1ffbFBciYf2nYFb95f4/HDlk3jm0ktQyza/+yOez731aNHyMmOIv3HjwcUdN1OJHP6hZ+9sz83adw2jbNHP3xgzY+H3hRm2vXpL/2uYXNw7qP5g73N0glqPJTFk+20d7Arfs9I0/Lfokynr3eNm9P9NaocsLZ2e7PLc7EuEL18b/z4kaNfc2cr/cdHCkBtb5zYimJhdKCI8jQNALgzUCK+8OSRIz2y/XcFyTtcFaSF3V6z0x+6hFc+dKX62ri08elQtZ9OqHukO3z3+Sb+og2hYi4nU+aNO1I9fkdG5Xdba7YRAGaAqN5adGGYDIBIvhqHye+4NE4AiEtTsprHpHVk6f6/fGN7iNJ2G6VjLx46cOHmpzcK0/ZP//4/A4uPrXrSt0EpSFQkhadD0fZmLNrPd9CB8wXRXm2N7sz1smKnkkk+d1tqx2/LbPk2i9qdxpqu9S43CEAi/MG9dz39r1yF9fkcPjF0m7WqQ0T6Ar33pQvFEmYOWK3Mj/v33/jJvCbS82u/99skg19dr+stB1lRFSIalhScDxBfkSIeUyKpdNDe80V0NX1seDFljBVSnkrK9p0+Y9OuHGk3s+4ynPVZ0l2ur78SyNL/+lD+D7/47LPrsy/ogyeG77aUhpVTtdcJAB5+7fw9bGUwk+PMy/ftaspikZXQ85nf+wRR/AUCtq/XNVcLCXlFsBgDAIHgiiBREfWX0EGuYCW5YZuA8oJlm1jWBUucMHQ3wyZszZoel1g/uKIQ/c7IH/29P1+vK773pQvFUoADzHl67NCeNxUA6Lw2AWBnOxV3AnhrvTJz+Rv/+E+7PvMHJ6QU/wKW7r9hqJmjWfoKJVuzywqzq67naw+VwNzm0Sv7fct9v9Lj1vr9teNeUjr+lyPf/HzTB+JvRHtCO/NaWQQsrwCzI1xPPvOMHLn/kXvJGqV0eProoR0z65kpAOj+O198QqjkabK8eyPaWF7OSboIFv/20te/8P+wgheMNZPDrwx1SUV7dKazKVE+ffLQoezqEOwjb7yz3bC5zZDJfnLXvpPrmbE5kl//17cVqPPXBcSnafZFVK4cqNcX6hZcJohv6Aj/efyrT2/IeocPvPH2Qcky5JzPHTu0ZwxYtPXN4VMj90JwAmsvHbtnz4YNyXR95g/6KKB/ICh4Agvy6GoAZUvrZQH6o6hmvnbum7/RlIXHa+GRk2d36yDYJTKdPX9o3yvzc3iVw0NDiazQ3VqQFCSHX7hz16X1z+o1uj77e3vA0W8Kkp+a86ieJkGYZoOvFwql/3TuP3xmwwwTAB5688IOm5k+JdmM6dtePXno2gLo6yr9wVeHu8NA7AeA6gReHXyg1/lQy81IPvNv+pKo+BBB/BZReJsgpgXPHXi5YsnWvmZQ+zar6A83KpTPp//4SCHpxLsAwEIMLXaKS3qlR988v8eE4U5r2WShPjXYu/FGOkfb5774cID4V4nE4wKyfeMjZOvrTGaK2X7HQj87/h9/83m0CP0jI4UwU/cIQRIVjDx/7/brpqaXDZuPnr1wgIzqsZJNJcxfayUjnaP987//y5KiX5KQjwuS7XUXwQDNdxnL6Ostb3b9lX6/wuOY9bSF/bax+bMT6eUT+MaRltoyvX9kpFDIgnuFIclSX/7B/l1nljruhu26h0fG9gpjdwGAlOFbR3vbL9/o+I2k8+kvP0osH5McfEiQeNdNftomhMGgn2rov2Qy35n4yt//wUbnaDkGRqZ6dGVmH0WhZGsu/2jfzmXH3m9aix94Y7hPJaoPORAEwfDRvu7h5ma3+cSf+/K+oozvJ4jDEOL9xPwB2mQGy/V/J8H4Pgv7V5qSP53c4M7OSnjk7Ohuq8w+5IDWevgnd/Xd0J5WVGsDw1f6GHoPoKDJjrVXes5++y66pTaW7fzCVz4sSb0bsI8SqQMEOkgk6qFxrhgILakzMM3gcyB+iZlPGNT+aiK9eAJfO7LsO4xajceZo5kLM3cYU+kIABDU0Eqc3YrdyuGhoS4l2vYTTGy1rRkRnjm2p2OsoVxvMB1f+Mr7IxXuZ6KDlnEHgQ4QUyeTPVh/EGK9vC4DwBRgp5jlz4nMGCBPWOghLbOXJr/09Ol1yogTHr/C7dMzl+8SSkQMmWaxefMn3d0rahOvqgYef4OjavHKAcOiGwDI6ktCl4eOHnC7PnAj6PztL3ayjt+vKBJsZKcEdTDjNpAkEN8hmAWYyJLZW++cEM0vTGZmAk0S0ySI2RJbsDwNzplInDeUMQlxTut0nKLa6Yl/949uGW+4UgaeY2XfNbmHje0FAGkwmdS2vbGa6LsmF/HwyNjeQGFvPQWRBghG/nx7cdOvXvesnI+Nlntzo/dCGAXLOpf23PPbrx9GuhlrjmEDZ87EOujeK0Ndf/2ukKky8tx3d5YurjVNz63PR8fGOnIr74Y1MQCwwoSYnHxjrVG24UbWL16c2cnS7NNWxAoAKZowlJ87um3bpgtZnuUZODPeKTuCvbnmTgUgFzaNRPupv+iihmarmtYL+Mjlym0Z8r5AihgAYGzKVr59dEdpHR4j8WwUA+PjnYRgH8CdAKCZdUBm+Hvbtr3djPSb2k0dYI4xOtoJWdoPUXfxsDaFkWe9oW4eBpgVyuUeaOoD2/obOpg1yAyjs3P4KDXvuSVn4yiPjI7uFlG0H4ZmDZVTZpoQ3aWho0TrviDa0zgD49yJpNYjM96tTf3165CckgneQWfcVMOcw/lA3yOj5d1BSHsg6Nq7cCzP5IqHZKEwfpRo0w1RbSYGmFVYre7WGW+HFJ1XvzB2Is/xzg+3F99xef11m/87PDSUFDo7D1iW29hmV3e9IOZRpcPRvKdwycUd6Fk9A8wquFzZoQPshhQlNrUAAEhGueD8nZq1oz/q7FyXadUNmaD+WLncqxHsFtIueNuuMGYCwEheKIx5z7q+DDArlaa9umZ3IBIlSXTt/QVGjMe2dq5aKo2vtxPZ0BUUh4eGklJX17YcQa/Isy4oBWgNKAUyZpwjOVat1caPddzaU6qtyACzKgJt1VqtywqxTVQWlr8kM8ZCXNJxPLKRka1llvgcHhpKSn1927hS2WmlvO45eRJinI25VI3j6WNE3mDXwGOTk115GLaRlDvYmDbM85Jg1mTtNAtxycbx+VZpbrWMgc5ngFmFQFeWZV1CiC4ypn3uOwMgYJkbydOKgymEGJNjY+m3V7j4YKtwmDlJgC6VoU2bvF0StVkygQEw9yo3tnbKSjkWhuFYBoy1ilHOpyUNdDGHmZNCudxOQbCDhGgXSl19c4hG/V06Wmstmact85QKwyoDU1NA9RhRdeNy7p65sgmKxURnWSKI2g1Rm1KqvikHrr0My2idCqUuaGDaAhdb0SAXc0sY6GIGmFUEtNfStJ2k7BbGtAuiJffDtFLmBFQFc5WDYEoB1QyohkB+aXCw6nJP1GbQzxzsAJIMSEIg0EAigURr3c5AIowJljqPpawY5mk25koUx1M1YOpWMMjF3JIGuhT9zEEP0MZp2kFStmvSBaGSNl6mAucjmKtWqQoh1wLINWwVAEJEFQDIMD2rt+WX6k5pPvkg0ZJG3s8coL5V3QI6MZ0YiCBBUdXTrxUAQEEkAGAQJELrgl3mppsPSc4tUFU5T7ExUyaOKxODg2OtfuOtlE1joMvRzxx0Au2yWi2YJElEnhdsQAlrBEKphDHfgCXqrdzW0Qk6F1C5ga6KnKuaOQ+MmZJJMnkJqC53c2wWNr2B3ox5ITSQQAEADJAAgJjV5axuZ+V8BBDYJbzk7He5rW/4ufjz6ux1qrPpVmavM/d5ZaL+97Leeavw/wFaeH5q8ZSqOQAAAABJRU5ErkJggg==",
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",
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",
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",
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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
}
${
(!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;
};