ECharts
2024-03-16
概述
主题支持在文章中嵌入 ECharts 图表。
该功能由 vuepress-plugin-md-enhance 提供支持。
配置
主题默认不启用该功能。
你需要在你的项目中安装 ECharts 库。
pnpm
pnpm add echartsnpm
npm install echartsyarn
yarn add echarts然后在 .vuepress/config.ts 配置文件中，启用该功能：
.vuepress/config.ts
export default defineUserConfig({
theme: plumeTheme({
plugins: {
markdownEnhance: {
echarts: true,
},
}
})
})Note
以下文档 Fork 自 vuepress-theme-hope, 遵循 MIT 许可证。
语法
JSON 配置
如果你可以很轻松的生成数据，你可以直接通过一个 JSON 代码块来提供 Echarts 配置:
::: echarts 标题
```json
{
// 此处为 ECharts 图表配置
}
```
:::JavaScript 配置
如果你需要通过脚本来获取数据，你可以使用 js 和 javascript 的代码块。
我们将通过 myChart 变量暴露 Echarts 实例，并且你应该将 Echart 配置赋值给 option 变量。 同时，你也可以赋值 width 和 height 来设置图表大小。
::: echarts Title
```js
const option = {
// 此处为 ECharts 图表配置
}
```
:::Tips
你可以使用顶级 await 和 fetch 来从网络请求中获取数据。
相关配置，详见 ECharts 文档
高级
你可以在 客户端配置文件 中导入并使用 defineEchartsConfig 来自定义 Echarts:
import { defineEchartsConfig } from 'vuepress-theme-plume/client'
import { defineClientConfig } from 'vuepress/client'
defineEchartsConfig({
options: {
// 全局 Echarts 配置
},
setup: async () => {
// Echarts 设置
// 例如: await import("echarts-wordcloud")
},
})
export default defineClientConfig({
// ...
})示例
线图
输入：
查看代码
::: echarts Dynamic Data & Time Axis
```js
const oneDay = 86400000
const data = []
let now = new Date(1997, 9, 3)
let value = Math.random() * 1000
function randomData() {
now = new Date(+now + oneDay)
value = value + Math.random() * 21 - 10
return {
name: now.toString(),
value: [
[now.getFullYear(), now.getMonth() + 1, now.getDate()].join('/'),
Math.round(value),
],
}
}
for (let i = 0; i < 1000; i++) data.push(randomData())
const option = {
tooltip: {
trigger: 'axis',
formatter(params) {
params = params[0]
const date = new Date(params.name)
return (
`${date.getDate()
}/${
date.getMonth() + 1
}/${
date.getFullYear()
} : ${
params.value[1]}`
)
},
axisPointer: {
animation: false,
},
},
xAxis: {
type: 'time',
splitLine: {
show: false,
},
},
yAxis: {
type: 'value',
boundaryGap: [0, '100%'],
splitLine: {
show: false,
},
},
toolbox: {
show: true,
feature: {
mark: {
show: true,
},
dataView: {
show: true,
readOnly: false,
},
restore: {
show: true,
},
saveAsImage: {
show: true,
},
},
},
series: [
{
name: 'Fake Data',
type: 'line',
showSymbol: false,
data,
},
],
}
const timeId = setInterval(() => {
if (myChart._disposed)
return clearInterval(timeId)
for (let i = 0; i < 5; i++) {
data.shift()
data.push(randomData())
}
myChart.setOption({
series: [
{
data,
},
],
})
}, 1000)
```
:::输出：
::: echarts Dynamic Data & Time Axis
const oneDay = 86400000
const data = []
let now = new Date(1997, 9, 3)
let value = Math.random() * 1000
function randomData() {
now = new Date(+now + oneDay)
value = value + Math.random() * 21 - 10
return {
name: now.toString(),
value: [
[now.getFullYear(), now.getMonth() + 1, now.getDate()].join('/'),
Math.round(value),
],
}
}
for (let i = 0; i < 1000; i++) data.push(randomData())
const option = {
tooltip: {
trigger: 'axis',
formatter(params) {
params = params[0]
const date = new Date(params.name)
return (
`${date.getDate()
}/${
date.getMonth() + 1
}/${
date.getFullYear()
} : ${
params.value[1]}`
)
},
axisPointer: {
animation: false,
},
},
xAxis: {
type: 'time',
splitLine: {
show: false,
},
},
yAxis: {
type: 'value',
boundaryGap: [0, '100%'],
splitLine: {
show: false,
},
},
toolbox: {
show: true,
feature: {
mark: {
show: true,
},
dataView: {
show: true,
readOnly: false,
},
restore: {
show: true,
},
saveAsImage: {
show: true,
},
},
},
series: [
{
name: 'Fake Data',
type: 'line',
showSymbol: false,
data,
},
],
}
const timeId = setInterval(() => {
if (myChart._disposed)
return clearInterval(timeId)
for (let i = 0; i < 5; i++) {
data.shift()
data.push(randomData())
}
myChart.setOption({
series: [
{
data,
},
],
})
}, 1000):::
柱状图
输入：
查看代码
::: echarts A bar chart
```js
const data = []
for (let i = 0; i < 5; i++) data.push(Math.round(Math.random() * 200))
const option = {
xAxis: {
max: 'dataMax',
},
yAxis: {
type: 'category',
data: ['A', 'B', 'C', 'D', 'E'],
inverse: true,
animationDuration: 300,
animationDurationUpdate: 300,
max: 2, // only the largest 3 bars will be displayed
},
series: [
{
realtimeSort: true,
name: 'X',
type: 'bar',
data,
label: {
show: true,
position: 'right',
valueAnimation: true,
},
},
],
legend: {
show: true,
},
toolbox: {
show: true,
feature: {
mark: {
show: true,
},
dataView: {
show: true,
readOnly: false,
},
restore: {
show: true,
},
saveAsImage: {
show: true,
},
},
},
animationDuration: 0,
animationDurationUpdate: 3000,
animationEasing: 'linear',
animationEasingUpdate: 'linear',
}
function run() {
for (let i = 0; i < data.length; i++)
data[i] += Math.round(Math.random() * Math.random() > 0.9 ? 2000 : 200)
myChart.setOption({
series: [{ type: 'bar', data }],
})
}
const timeId = setInterval(() => {
if (myChart._disposed)
return clearInterval(timeId)
run()
}, 3000)
```
:::输出：
::: echarts A bar chart
const data = []
for (let i = 0; i < 5; i++) data.push(Math.round(Math.random() * 200))
const option = {
xAxis: {
max: 'dataMax',
},
yAxis: {
type: 'category',
data: ['A', 'B', 'C', 'D', 'E'],
inverse: true,
animationDuration: 300,
animationDurationUpdate: 300,
max: 2, // only the largest 3 bars will be displayed
},
series: [
{
realtimeSort: true,
name: 'X',
type: 'bar',
data,
label: {
show: true,
position: 'right',
valueAnimation: true,
},
},
],
legend: {
show: true,
},
toolbox: {
show: true,
feature: {
mark: {
show: true,
},
dataView: {
show: true,
readOnly: false,
},
restore: {
show: true,
},
saveAsImage: {
show: true,
},
},
},
animationDuration: 0,
animationDurationUpdate: 3000,
animationEasing: 'linear',
animationEasingUpdate: 'linear',
}
function run() {
for (let i = 0; i < data.length; i++)
data[i] += Math.round(Math.random() * Math.random() > 0.9 ? 2000 : 200)
myChart.setOption({
series: [{ type: 'bar', data }],
})
}
const timeId = setInterval(() => {
if (myChart._disposed)
return clearInterval(timeId)
run()
}, 3000):::
饼图
输入：
查看代码
::: echarts A nightingale chart
```json
{
"legend": {
"top": "bottom"
},
"toolbox": {
"show": true,
"feature": {
"mark": {
"show": true
},
"dataView": {
"show": true,
"readOnly": false
},
"restore": {
"show": true
},
"saveAsImage": {
"show": true
}
}
},
"series": [
{
"name": "Nightingale Chart",
"type": "pie",
"radius": [20, 100],
"center": ["50%", "50%"],
"roseType": "area",
"itemStyle": {
"borderRadius": 8
},
"data": [
{
"value": 40,
"name": "rose 1"
},
{
"value": 38,
"name": "rose 2"
},
{
"value": 32,
"name": "rose 3"
},
{
"value": 30,
"name": "rose 4"
},
{
"value": 28,
"name": "rose 5"
},
{
"value": 26,
"name": "rose 6"
},
{
"value": 22,
"name": "rose 7"
},
{
"value": 18,
"name": "rose 8"
}
]
}
]
}
```
:::输出：
::: echarts A nightingale chart
{
"legend": {
"top": "bottom"
},
"toolbox": {
"show": true,
"feature": {
"mark": {
"show": true
},
"dataView": {
"show": true,
"readOnly": false
},
"restore": {
"show": true
},
"saveAsImage": {
"show": true
}
}
},
"series": [
{
"name": "Nightingale Chart",
"type": "pie",
"radius": [20, 100],
"center": ["50%", "50%"],
"roseType": "area",
"itemStyle": {
"borderRadius": 8
},
"data": [
{
"value": 40,
"name": "rose 1"
},
{
"value": 38,
"name": "rose 2"
},
{
"value": 32,
"name": "rose 3"
},
{
"value": 30,
"name": "rose 4"
},
{
"value": 28,
"name": "rose 5"
},
{
"value": 26,
"name": "rose 6"
},
{
"value": 22,
"name": "rose 7"
},
{
"value": 18,
"name": "rose 8"
}
]
}
]
}:::
散点图
输入：
查看代码
::: echarts A scatter chart
```json
{
"xAxis": {},
"yAxis": {},
"series": [
{
"symbolSize": 20,
"data": [
[10.0, 8.04],
[8.07, 6.95],
[13.0, 7.58],
[9.05, 8.81],
[11.0, 8.33],
[14.0, 7.66],
[13.4, 6.81],
[10.0, 6.33],
[14.0, 8.96],
[12.5, 6.82],
[9.15, 7.2],
[11.5, 7.2],
[3.03, 4.23],
[12.2, 7.83],
[2.02, 4.47],
[1.05, 3.33],
[4.05, 4.96],
[6.03, 7.24],
[12.0, 6.26],
[12.0, 8.84],
[7.08, 5.82],
[5.02, 5.68]
],
"type": "scatter"
}
]
}
```
:::输出：
::: echarts A scatter chart
{
"xAxis": {},
"yAxis": {},
"series": [
{
"symbolSize": 20,
"data": [
[10.0, 8.04],
[8.07, 6.95],
[13.0, 7.58],
[9.05, 8.81],
[11.0, 8.33],
[14.0, 7.66],
[13.4, 6.81],
[10.0, 6.33],
[14.0, 8.96],
[12.5, 6.82],
[9.15, 7.2],
[11.5, 7.2],
[3.03, 4.23],
[12.2, 7.83],
[2.02, 4.47],
[1.05, 3.33],
[4.05, 4.96],
[6.03, 7.24],
[12.0, 6.26],
[12.0, 8.84],
[7.08, 5.82],
[5.02, 5.68]
],
"type": "scatter"
}
]
}:::
极坐标图
输入：
查看代码
::: echarts Two Value-Axes in Polar
```js
const data = []
for (let i = 0; i <= 100; i++) {
const theta = (i / 100) * 360
const r = 5 * (1 + Math.sin((theta / 180) * Math.PI))
data.push([r, theta])
}
const height = 450
const option = {
legend: {
data: ['line'],
},
polar: {},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross',
},
},
angleAxis: {
type: 'value',
startAngle: 0,
},
radiusAxis: {},
series: [
{
coordinateSystem: 'polar',
name: 'line',
type: 'line',
data,
},
],
}
```
:::输出：
::: echarts Two Value-Axes in Polar
const data = []
for (let i = 0; i <= 100; i++) {
const theta = (i / 100) * 360
const r = 5 * (1 + Math.sin((theta / 180) * Math.PI))
data.push([r, theta])
}
const height = 450
const option = {
legend: {
data: ['line'],
},
polar: {},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross',
},
},
angleAxis: {
type: 'value',
startAngle: 0,
},
radiusAxis: {},
series: [
{
coordinateSystem: 'polar',
name: 'line',
type: 'line',
data,
},
],
}:::
烛台图
输入：
查看代码
::: echarts Stocks
```js
const upColor = '#ec0000'
const upBorderColor = '#8A0000'
const downColor = '#00da3c'
const downBorderColor = '#008F28'
function splitData(rawData) {
const categoryData = []
const values = []
for (let i = 0; i < rawData.length; i++) {
categoryData.push(rawData[i].splice(0, 1)[0])
values.push(rawData[i])
}
return {
categoryData,
values,
}
}
// Each item: open，close，lowest，highest
const data0 = splitData([
['2013/1/24', 2320.26, 2320.26, 2287.3, 2362.94],
['2013/1/25', 2300, 2291.3, 2288.26, 2308.38],
['2013/1/28', 2295.35, 2346.5, 2295.35, 2346.92],
['2013/1/29', 2347.22, 2358.98, 2337.35, 2363.8],
['2013/1/30', 2360.75, 2382.48, 2347.89, 2383.76],
['2013/1/31', 2383.43, 2385.42, 2371.23, 2391.82],
['2013/2/1', 2377.41, 2419.02, 2369.57, 2421.15],
['2013/2/4', 2425.92, 2428.15, 2417.58, 2440.38],
['2013/2/5', 2411, 2433.13, 2403.3, 2437.42],
['2013/2/6', 2432.68, 2434.48, 2427.7, 2441.73],
['2013/2/7', 2430.69, 2418.53, 2394.22, 2433.89],
['2013/2/8', 2416.62, 2432.4, 2414.4, 2443.03],
['2013/2/18', 2441.91, 2421.56, 2415.43, 2444.8],
['2013/2/19', 2420.26, 2382.91, 2373.53, 2427.07],
['2013/2/20', 2383.49, 2397.18, 2370.61, 2397.94],
['2013/2/21', 2378.82, 2325.95, 2309.17, 2378.82],
['2013/2/22', 2322.94, 2314.16, 2308.76, 2330.88],
['2013/2/25', 2320.62, 2325.82, 2315.01, 2338.78],
['2013/2/26', 2313.74, 2293.34, 2289.89, 2340.71],
['2013/2/27', 2297.77, 2313.22, 2292.03, 2324.63],
['2013/2/28', 2322.32, 2365.59, 2308.92, 2366.16],
['2013/3/1', 2364.54, 2359.51, 2330.86, 2369.65],
['2013/3/4', 2332.08, 2273.4, 2259.25, 2333.54],
['2013/3/5', 2274.81, 2326.31, 2270.1, 2328.14],
['2013/3/6', 2333.61, 2347.18, 2321.6, 2351.44],
['2013/3/7', 2340.44, 2324.29, 2304.27, 2352.02],
['2013/3/8', 2326.42, 2318.61, 2314.59, 2333.67],
['2013/3/11', 2314.68, 2310.59, 2296.58, 2320.96],
['2013/3/12', 2309.16, 2286.6, 2264.83, 2333.29],
['2013/3/13', 2282.17, 2263.97, 2253.25, 2286.33],
['2013/3/14', 2255.77, 2270.28, 2253.31, 2276.22],
['2013/3/15', 2269.31, 2278.4, 2250, 2312.08],
['2013/3/18', 2267.29, 2240.02, 2239.21, 2276.05],
['2013/3/19', 2244.26, 2257.43, 2232.02, 2261.31],
['2013/3/20', 2257.74, 2317.37, 2257.42, 2317.86],
['2013/3/21', 2318.21, 2324.24, 2311.6, 2330.81],
['2013/3/22', 2321.4, 2328.28, 2314.97, 2332],
['2013/3/25', 2334.74, 2326.72, 2319.91, 2344.89],
['2013/3/26', 2318.58, 2297.67, 2281.12, 2319.99],
['2013/3/27', 2299.38, 2301.26, 2289, 2323.48],
['2013/3/28', 2273.55, 2236.3, 2232.91, 2273.55],
['2013/3/29', 2238.49, 2236.62, 2228.81, 2246.87],
['2013/4/1', 2229.46, 2234.4, 2227.31, 2243.95],
['2013/4/2', 2234.9, 2227.74, 2220.44, 2253.42],
['2013/4/3', 2232.69, 2225.29, 2217.25, 2241.34],
['2013/4/8', 2196.24, 2211.59, 2180.67, 2212.59],
['2013/4/9', 2215.47, 2225.77, 2215.47, 2234.73],
['2013/4/10', 2224.93, 2226.13, 2212.56, 2233.04],
['2013/4/11', 2236.98, 2219.55, 2217.26, 2242.48],
['2013/4/12', 2218.09, 2206.78, 2204.44, 2226.26],
['2013/4/15', 2199.91, 2181.94, 2177.39, 2204.99],
['2013/4/16', 2169.63, 2194.85, 2165.78, 2196.43],
['2013/4/17', 2195.03, 2193.8, 2178.47, 2197.51],
['2013/4/18', 2181.82, 2197.6, 2175.44, 2206.03],
['2013/4/19', 2201.12, 2244.64, 2200.58, 2250.11],
['2013/4/22', 2236.4, 2242.17, 2232.26, 2245.12],
['2013/4/23', 2242.62, 2184.54, 2182.81, 2242.62],
['2013/4/24', 2187.35, 2218.32, 2184.11, 2226.12],
['2013/4/25', 2213.19, 2199.31, 2191.85, 2224.63],
['2013/4/26', 2203.89, 2177.91, 2173.86, 2210.58],
['2013/5/2', 2170.78, 2174.12, 2161.14, 2179.65],
['2013/5/3', 2179.05, 2205.5, 2179.05, 2222.81],
['2013/5/6', 2212.5, 2231.17, 2212.5, 2236.07],
['2013/5/7', 2227.86, 2235.57, 2219.44, 2240.26],
['2013/5/8', 2242.39, 2246.3, 2235.42, 2255.21],
['2013/5/9', 2246.96, 2232.97, 2221.38, 2247.86],
['2013/5/10', 2228.82, 2246.83, 2225.81, 2247.67],
['2013/5/13', 2247.68, 2241.92, 2231.36, 2250.85],
['2013/5/14', 2238.9, 2217.01, 2205.87, 2239.93],
['2013/5/15', 2217.09, 2224.8, 2213.58, 2225.19],
['2013/5/16', 2221.34, 2251.81, 2210.77, 2252.87],
['2013/5/17', 2249.81, 2282.87, 2248.41, 2288.09],
['2013/5/20', 2286.33, 2299.99, 2281.9, 2309.39],
['2013/5/21', 2297.11, 2305.11, 2290.12, 2305.3],
['2013/5/22', 2303.75, 2302.4, 2292.43, 2314.18],
['2013/5/23', 2293.81, 2275.67, 2274.1, 2304.95],
['2013/5/24', 2281.45, 2288.53, 2270.25, 2292.59],
['2013/5/27', 2286.66, 2293.08, 2283.94, 2301.7],
['2013/5/28', 2293.4, 2321.32, 2281.47, 2322.1],
['2013/5/29', 2323.54, 2324.02, 2321.17, 2334.33],
['2013/5/30', 2316.25, 2317.75, 2310.49, 2325.72],
['2013/5/31', 2320.74, 2300.59, 2299.37, 2325.53],
['2013/6/3', 2300.21, 2299.25, 2294.11, 2313.43],
['2013/6/4', 2297.1, 2272.42, 2264.76, 2297.1],
['2013/6/5', 2270.71, 2270.93, 2260.87, 2276.86],
['2013/6/6', 2264.43, 2242.11, 2240.07, 2266.69],
['2013/6/7', 2242.26, 2210.9, 2205.07, 2250.63],
['2013/6/13', 2190.1, 2148.35, 2126.22, 2190.1],
])
function calculateMA(dayCount) {
const result = []
for (let i = 0; i < data0.values.length; i++) {
if (i < dayCount) {
result.push('-')
continue
}
let sum = 0
for (let j = 0; j < dayCount; j++) sum += +data0.values[i - j][1]
result.push(sum / dayCount)
}
return result
}
const option = {
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross',
},
},
legend: {
data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30'],
},
grid: {
left: '10%',
right: '10%',
bottom: '15%',
},
xAxis: {
type: 'category',
data: data0.categoryData,
boundaryGap: false,
axisLine: { onZero: false },
splitLine: { show: false },
min: 'dataMin',
max: 'dataMax',
},
yAxis: {
scale: true,
splitArea: {
show: true,
},
},
dataZoom: [
{
type: 'inside',
start: 50,
end: 100,
},
{
show: true,
type: 'slider',
top: '90%',
start: 50,
end: 100,
},
],
series: [
{
name: '日K',
type: 'candlestick',
data: data0.values,
itemStyle: {
color: upColor,
color0: downColor,
borderColor: upBorderColor,
borderColor0: downBorderColor,
},
markPoint: {
label: {
formatter: param =>
param == null ? '' : Math.round(param.value).toString(),
},
data: [
{
name: 'Mark',
coord: ['2013/5/31', 2300],
value: 2300,
itemStyle: {
color: 'rgb(41,60,85)',
},
},
{
name: 'highest value',
type: 'max',
valueDim: 'highest',
},
{
name: 'lowest value',
type: 'min',
valueDim: 'lowest',
},
{
name: 'average value on close',
type: 'average',
valueDim: 'close',
},
],
tooltip: {
formatter: param => `${param.name}<br>${param.data.coord || ''}`,
},
},
markLine: {
symbol: ['none', 'none'],
data: [
[
{
name: 'from lowest to highest',
type: 'min',
valueDim: 'lowest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false,
},
emphasis: {
label: {
show: false,
},
},
},
{
type: 'max',
valueDim: 'highest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false,
},
emphasis: {
label: {
show: false,
},
},
},
],
{
name: 'min line on close',
type: 'min',
valueDim: 'close',
},
{
name: 'max line on close',
type: 'max',
valueDim: 'close',
},
],
},
},
{
name: 'MA5',
type: 'line',
data: calculateMA(5),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
{
name: 'MA10',
type: 'line',
data: calculateMA(10),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
{
name: 'MA20',
type: 'line',
data: calculateMA(20),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
{
name: 'MA30',
type: 'line',
data: calculateMA(30),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
],
}
```
:::输出：
::: echarts Stocks
const upColor = '#ec0000'
const upBorderColor = '#8A0000'
const downColor = '#00da3c'
const downBorderColor = '#008F28'
function splitData(rawData) {
const categoryData = []
const values = []
for (let i = 0; i < rawData.length; i++) {
categoryData.push(rawData[i].splice(0, 1)[0])
values.push(rawData[i])
}
return {
categoryData,
values,
}
}
// Each item: open，close，lowest，highest
const data0 = splitData([
['2013/1/24', 2320.26, 2320.26, 2287.3, 2362.94],
['2013/1/25', 2300, 2291.3, 2288.26, 2308.38],
['2013/1/28', 2295.35, 2346.5, 2295.35, 2346.92],
['2013/1/29', 2347.22, 2358.98, 2337.35, 2363.8],
['2013/1/30', 2360.75, 2382.48, 2347.89, 2383.76],
['2013/1/31', 2383.43, 2385.42, 2371.23, 2391.82],
['2013/2/1', 2377.41, 2419.02, 2369.57, 2421.15],
['2013/2/4', 2425.92, 2428.15, 2417.58, 2440.38],
['2013/2/5', 2411, 2433.13, 2403.3, 2437.42],
['2013/2/6', 2432.68, 2434.48, 2427.7, 2441.73],
['2013/2/7', 2430.69, 2418.53, 2394.22, 2433.89],
['2013/2/8', 2416.62, 2432.4, 2414.4, 2443.03],
['2013/2/18', 2441.91, 2421.56, 2415.43, 2444.8],
['2013/2/19', 2420.26, 2382.91, 2373.53, 2427.07],
['2013/2/20', 2383.49, 2397.18, 2370.61, 2397.94],
['2013/2/21', 2378.82, 2325.95, 2309.17, 2378.82],
['2013/2/22', 2322.94, 2314.16, 2308.76, 2330.88],
['2013/2/25', 2320.62, 2325.82, 2315.01, 2338.78],
['2013/2/26', 2313.74, 2293.34, 2289.89, 2340.71],
['2013/2/27', 2297.77, 2313.22, 2292.03, 2324.63],
['2013/2/28', 2322.32, 2365.59, 2308.92, 2366.16],
['2013/3/1', 2364.54, 2359.51, 2330.86, 2369.65],
['2013/3/4', 2332.08, 2273.4, 2259.25, 2333.54],
['2013/3/5', 2274.81, 2326.31, 2270.1, 2328.14],
['2013/3/6', 2333.61, 2347.18, 2321.6, 2351.44],
['2013/3/7', 2340.44, 2324.29, 2304.27, 2352.02],
['2013/3/8', 2326.42, 2318.61, 2314.59, 2333.67],
['2013/3/11', 2314.68, 2310.59, 2296.58, 2320.96],
['2013/3/12', 2309.16, 2286.6, 2264.83, 2333.29],
['2013/3/13', 2282.17, 2263.97, 2253.25, 2286.33],
['2013/3/14', 2255.77, 2270.28, 2253.31, 2276.22],
['2013/3/15', 2269.31, 2278.4, 2250, 2312.08],
['2013/3/18', 2267.29, 2240.02, 2239.21, 2276.05],
['2013/3/19', 2244.26, 2257.43, 2232.02, 2261.31],
['2013/3/20', 2257.74, 2317.37, 2257.42, 2317.86],
['2013/3/21', 2318.21, 2324.24, 2311.6, 2330.81],
['2013/3/22', 2321.4, 2328.28, 2314.97, 2332],
['2013/3/25', 2334.74, 2326.72, 2319.91, 2344.89],
['2013/3/26', 2318.58, 2297.67, 2281.12, 2319.99],
['2013/3/27', 2299.38, 2301.26, 2289, 2323.48],
['2013/3/28', 2273.55, 2236.3, 2232.91, 2273.55],
['2013/3/29', 2238.49, 2236.62, 2228.81, 2246.87],
['2013/4/1', 2229.46, 2234.4, 2227.31, 2243.95],
['2013/4/2', 2234.9, 2227.74, 2220.44, 2253.42],
['2013/4/3', 2232.69, 2225.29, 2217.25, 2241.34],
['2013/4/8', 2196.24, 2211.59, 2180.67, 2212.59],
['2013/4/9', 2215.47, 2225.77, 2215.47, 2234.73],
['2013/4/10', 2224.93, 2226.13, 2212.56, 2233.04],
['2013/4/11', 2236.98, 2219.55, 2217.26, 2242.48],
['2013/4/12', 2218.09, 2206.78, 2204.44, 2226.26],
['2013/4/15', 2199.91, 2181.94, 2177.39, 2204.99],
['2013/4/16', 2169.63, 2194.85, 2165.78, 2196.43],
['2013/4/17', 2195.03, 2193.8, 2178.47, 2197.51],
['2013/4/18', 2181.82, 2197.6, 2175.44, 2206.03],
['2013/4/19', 2201.12, 2244.64, 2200.58, 2250.11],
['2013/4/22', 2236.4, 2242.17, 2232.26, 2245.12],
['2013/4/23', 2242.62, 2184.54, 2182.81, 2242.62],
['2013/4/24', 2187.35, 2218.32, 2184.11, 2226.12],
['2013/4/25', 2213.19, 2199.31, 2191.85, 2224.63],
['2013/4/26', 2203.89, 2177.91, 2173.86, 2210.58],
['2013/5/2', 2170.78, 2174.12, 2161.14, 2179.65],
['2013/5/3', 2179.05, 2205.5, 2179.05, 2222.81],
['2013/5/6', 2212.5, 2231.17, 2212.5, 2236.07],
['2013/5/7', 2227.86, 2235.57, 2219.44, 2240.26],
['2013/5/8', 2242.39, 2246.3, 2235.42, 2255.21],
['2013/5/9', 2246.96, 2232.97, 2221.38, 2247.86],
['2013/5/10', 2228.82, 2246.83, 2225.81, 2247.67],
['2013/5/13', 2247.68, 2241.92, 2231.36, 2250.85],
['2013/5/14', 2238.9, 2217.01, 2205.87, 2239.93],
['2013/5/15', 2217.09, 2224.8, 2213.58, 2225.19],
['2013/5/16', 2221.34, 2251.81, 2210.77, 2252.87],
['2013/5/17', 2249.81, 2282.87, 2248.41, 2288.09],
['2013/5/20', 2286.33, 2299.99, 2281.9, 2309.39],
['2013/5/21', 2297.11, 2305.11, 2290.12, 2305.3],
['2013/5/22', 2303.75, 2302.4, 2292.43, 2314.18],
['2013/5/23', 2293.81, 2275.67, 2274.1, 2304.95],
['2013/5/24', 2281.45, 2288.53, 2270.25, 2292.59],
['2013/5/27', 2286.66, 2293.08, 2283.94, 2301.7],
['2013/5/28', 2293.4, 2321.32, 2281.47, 2322.1],
['2013/5/29', 2323.54, 2324.02, 2321.17, 2334.33],
['2013/5/30', 2316.25, 2317.75, 2310.49, 2325.72],
['2013/5/31', 2320.74, 2300.59, 2299.37, 2325.53],
['2013/6/3', 2300.21, 2299.25, 2294.11, 2313.43],
['2013/6/4', 2297.1, 2272.42, 2264.76, 2297.1],
['2013/6/5', 2270.71, 2270.93, 2260.87, 2276.86],
['2013/6/6', 2264.43, 2242.11, 2240.07, 2266.69],
['2013/6/7', 2242.26, 2210.9, 2205.07, 2250.63],
['2013/6/13', 2190.1, 2148.35, 2126.22, 2190.1],
])
function calculateMA(dayCount) {
const result = []
for (let i = 0; i < data0.values.length; i++) {
if (i < dayCount) {
result.push('-')
continue
}
let sum = 0
for (let j = 0; j < dayCount; j++) sum += +data0.values[i - j][1]
result.push(sum / dayCount)
}
return result
}
const option = {
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross',
},
},
legend: {
data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30'],
},
grid: {
left: '10%',
right: '10%',
bottom: '15%',
},
xAxis: {
type: 'category',
data: data0.categoryData,
boundaryGap: false,
axisLine: { onZero: false },
splitLine: { show: false },
min: 'dataMin',
max: 'dataMax',
},
yAxis: {
scale: true,
splitArea: {
show: true,
},
},
dataZoom: [
{
type: 'inside',
start: 50,
end: 100,
},
{
show: true,
type: 'slider',
top: '90%',
start: 50,
end: 100,
},
],
series: [
{
name: '日K',
type: 'candlestick',
data: data0.values,
itemStyle: {
color: upColor,
color0: downColor,
borderColor: upBorderColor,
borderColor0: downBorderColor,
},
markPoint: {
label: {
formatter: param =>
param == null ? '' : Math.round(param.value).toString(),
},
data: [
{
name: 'Mark',
coord: ['2013/5/31', 2300],
value: 2300,
itemStyle: {
color: 'rgb(41,60,85)',
},
},
{
name: 'highest value',
type: 'max',
valueDim: 'highest',
},
{
name: 'lowest value',
type: 'min',
valueDim: 'lowest',
},
{
name: 'average value on close',
type: 'average',
valueDim: 'close',
},
],
tooltip: {
formatter: param => `${param.name}<br>${param.data.coord || ''}`,
},
},
markLine: {
symbol: ['none', 'none'],
data: [
[
{
name: 'from lowest to highest',
type: 'min',
valueDim: 'lowest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false,
},
emphasis: {
label: {
show: false,
},
},
},
{
type: 'max',
valueDim: 'highest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false,
},
emphasis: {
label: {
show: false,
},
},
},
],
{
name: 'min line on close',
type: 'min',
valueDim: 'close',
},
{
name: 'max line on close',
type: 'max',
valueDim: 'close',
},
],
},
},
{
name: 'MA5',
type: 'line',
data: calculateMA(5),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
{
name: 'MA10',
type: 'line',
data: calculateMA(10),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
{
name: 'MA20',
type: 'line',
data: calculateMA(20),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
{
name: 'MA30',
type: 'line',
data: calculateMA(30),
smooth: true,
lineStyle: {
opacity: 0.5,
},
},
],
}:::
雷达图
输入：
查看代码
::: echarts A Radar Chart
```json
{
"legend": {
"data": ["Allocated Budget", "Actual Spending"]
},
"radar": {
"indicator": [
{ "name": "Sales", "max": 6500 },
{ "name": "Administration", "max": 16000 },
{ "name": "Information Technology", "max": 30000 },
{ "name": "Customer Support", "max": 38000 },
{ "name": "Development", "max": 52000 },
{ "name": "Marketing", "max": 25000 }
]
},
"series": [
{
"name": "Budget vs spending",
"type": "radar",
"data": [
{
"value": [4200, 3000, 20000, 35000, 50000, 18000],
"name": "Allocated Budget"
},
{
"value": [5000, 14000, 28000, 26000, 42000, 21000],
"name": "Actual Spending"
}
]
}
]
}
```
:::输出：
::: echarts A Radar Chart
{
"legend": {
"data": ["Allocated Budget", "Actual Spending"]
},
"radar": {
"indicator": [
{ "name": "Sales", "max": 6500 },
{ "name": "Administration", "max": 16000 },
{ "name": "Information Technology", "max": 30000 },
{ "name": "Customer Support", "max": 38000 },
{ "name": "Development", "max": 52000 },
{ "name": "Marketing", "max": 25000 }
]
},
"series": [
{
"name": "Budget vs spending",
"type": "radar",
"data": [
{
"value": [4200, 3000, 20000, 35000, 50000, 18000],
"name": "Allocated Budget"
},
{
"value": [5000, 14000, 28000, 26000, 42000, 21000],
"name": "Actual Spending"
}
]
}
]
}:::
热力图
输入：
查看代码
::: echarts
```js
/* eslint-disable */
function getNoiseHelper() {
class Grad {
constructor(x, y, z) {
this.x = x
this.y = y
this.z = z
}
dot2(x, y) {
return this.x * x + this.y * y
}
dot3(x, y, z) {
return this.x * x + this.y * y + this.z * z
}
}
const grad3 = [
new Grad(1, 1, 0),
new Grad(-1, 1, 0),
new Grad(1, -1, 0),
new Grad(-1, -1, 0),
new Grad(1, 0, 1),
new Grad(-1, 0, 1),
new Grad(1, 0, -1),
new Grad(-1, 0, -1),
new Grad(0, 1, 1),
new Grad(0, -1, 1),
new Grad(0, 1, -1),
new Grad(0, -1, -1),
]
const p = [
151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140,
36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120,
234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33,
88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71,
134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133,
230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161,
1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130,
116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250,
124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206, 59, 227,
47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44,
154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98,
108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34,
242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14,
239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121,
50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243,
141, 128, 195, 78, 66, 215, 61, 156, 180,
]
// To remove the need for index wrapping, double the permutation table length
const perm = Array.from({ length: 512 })
const gradP = Array.from({ length: 512 })
// This isn't a very good seeding function, but it works ok. It supports 2^16
// different seed values. Write something better if you need more seeds.
function seed(seed) {
if (seed > 0 && seed < 1) {
// Scale the seed out
seed *= 65536
}
seed = Math.floor(seed)
if (seed < 256)
seed |= seed << 8
for (let i = 0; i < 256; i++) {
let v
if (i & 1)
v = p[i] ^ (seed & 255)
else
v = p[i] ^ ((seed >> 8) & 255)
perm[i] = perm[i + 256] = v
gradP[i] = gradP[i + 256] = grad3[v % 12]
}
}
seed(0)
// ##### Perlin noise stuff
function fade(t) {
return t * t * t * (t * (t * 6 - 15) + 10)
}
function lerp(a, b, t) {
return (1 - t) * a + t * b
}
// 2D Perlin Noise
function perlin2(x, y) {
// Find unit grid cell containing point
let X = Math.floor(x)
let Y = Math.floor(y)
// Get relative xy coordinates of point within that cell
x = x - X
y = y - Y
// Wrap the integer cells at 255 (smaller integer period can be introduced here)
X = X & 255
Y = Y & 255
// Calculate noise contributions from each of the four corners
const n00 = gradP[X + perm[Y]].dot2(x, y)
const n01 = gradP[X + perm[Y + 1]].dot2(x, y - 1)
const n10 = gradP[X + 1 + perm[Y]].dot2(x - 1, y)
const n11 = gradP[X + 1 + perm[Y + 1]].dot2(x - 1, y - 1)
// Compute the fade curve value for x
const u = fade(x)
// Interpolate the four results
return lerp(lerp(n00, n10, u), lerp(n01, n11, u), fade(y))
}
return {
seed,
perlin2,
}
}
const noise = getNoiseHelper()
const xData = []
const yData = []
noise.seed(Math.random())
const data = []
for (let i = 0; i <= 200; i++) {
for (let j = 0; j <= 100; j++)
data.push([i, j, noise.perlin2(i / 40, j / 20) + 0.5])
xData.push(i)
}
for (let j = 0; j < 100; j++)
yData.push(j)
option = {
tooltip: {},
xAxis: {
type: 'category',
data: xData,
},
yAxis: {
type: 'category',
data: yData,
},
visualMap: {
min: 0,
max: 1,
calculable: true,
realtime: false,
inRange: {
color: [
'#313695',
'#4575b4',
'#74add1',
'#abd9e9',
'#e0f3f8',
'#ffffbf',
'#fee090',
'#fdae61',
'#f46d43',
'#d73027',
'#a50026',
],
},
},
series: [
{
name: 'Gaussian',
type: 'heatmap',
data,
emphasis: {
itemStyle: {
borderColor: '#333',
borderWidth: 1,
},
},
progressive: 1000,
animation: false,
},
],
}
const height = 500
```
:::输出：
::: echarts
/* eslint-disable */
function getNoiseHelper() {
class Grad {
constructor(x, y, z) {
this.x = x
this.y = y
this.z = z
}
dot2(x, y) {
return this.x * x + this.y * y
}
dot3(x, y, z) {
return this.x * x + this.y * y + this.z * z
}
}
const grad3 = [
new Grad(1, 1, 0),
new Grad(-1, 1, 0),
new Grad(1, -1, 0),
new Grad(-1, -1, 0),
new Grad(1, 0, 1),
new Grad(-1, 0, 1),
new Grad(1, 0, -1),
new Grad(-1, 0, -1),
new Grad(0, 1, 1),
new Grad(0, -1, 1),
new Grad(0, 1, -1),
new Grad(0, -1, -1),
]
const p = [
151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140,
36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120,
234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33,
88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71,
134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133,
230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161,
1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130,
116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250,
124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206, 59, 227,
47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44,
154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98,
108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34,
242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14,
239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121,
50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243,
141, 128, 195, 78, 66, 215, 61, 156, 180,
]
// To remove the need for index wrapping, double the permutation table length
const perm = Array.from({ length: 512 })
const gradP = Array.from({ length: 512 })
// This isn't a very good seeding function, but it works ok. It supports 2^16
// different seed values. Write something better if you need more seeds.
function seed(seed) {
if (seed > 0 && seed < 1) {
// Scale the seed out
seed *= 65536
}
seed = Math.floor(seed)
if (seed < 256)
seed |= seed << 8
for (let i = 0; i < 256; i++) {
let v
if (i & 1)
v = p[i] ^ (seed & 255)
else
v = p[i] ^ ((seed >> 8) & 255)
perm[i] = perm[i + 256] = v
gradP[i] = gradP[i + 256] = grad3[v % 12]
}
}
seed(0)
// ##### Perlin noise stuff
function fade(t) {
return t * t * t * (t * (t * 6 - 15) + 10)
}
function lerp(a, b, t) {
return (1 - t) * a + t * b
}
// 2D Perlin Noise
function perlin2(x, y) {
// Find unit grid cell containing point
let X = Math.floor(x)
let Y = Math.floor(y)
// Get relative xy coordinates of point within that cell
x = x - X
y = y - Y
// Wrap the integer cells at 255 (smaller integer period can be introduced here)
X = X & 255
Y = Y & 255
// Calculate noise contributions from each of the four corners
const n00 = gradP[X + perm[Y]].dot2(x, y)
const n01 = gradP[X + perm[Y + 1]].dot2(x, y - 1)
const n10 = gradP[X + 1 + perm[Y]].dot2(x - 1, y)
const n11 = gradP[X + 1 + perm[Y + 1]].dot2(x - 1, y - 1)
// Compute the fade curve value for x
const u = fade(x)
// Interpolate the four results
return lerp(lerp(n00, n10, u), lerp(n01, n11, u), fade(y))
}
return {
seed,
perlin2,
}
}
const noise = getNoiseHelper()
const xData = []
const yData = []
noise.seed(Math.random())
const data = []
for (let i = 0; i <= 200; i++) {
for (let j = 0; j <= 100; j++)
data.push([i, j, noise.perlin2(i / 40, j / 20) + 0.5])
xData.push(i)
}
for (let j = 0; j < 100; j++)
yData.push(j)
option = {
tooltip: {},
xAxis: {
type: 'category',
data: xData,
},
yAxis: {
type: 'category',
data: yData,
},
visualMap: {
min: 0,
max: 1,
calculable: true,
realtime: false,
inRange: {
color: [
'#313695',
'#4575b4',
'#74add1',
'#abd9e9',
'#e0f3f8',
'#ffffbf',
'#fee090',
'#fdae61',
'#f46d43',
'#d73027',
'#a50026',
],
},
},
series: [
{
name: 'Gaussian',
type: 'heatmap',
data,
emphasis: {
itemStyle: {
borderColor: '#333',
borderWidth: 1,
},
},
progressive: 1000,
animation: false,
},
],
}
const height = 500:::
树图
输入：
查看代码
::: echarts Tree
```js
const data = await fetch(
'/data/flare.json',
).then(res => res.json())
const option = {
tooltip: {
trigger: 'item',
triggerOn: 'mousemove',
},
series: [
{
type: 'tree',
data: [data],
top: '18%',
bottom: '14%',
layout: 'radial',
symbol: 'emptyCircle',
symbolSize: 7,
initialTreeDepth: 3,
animationDurationUpdate: 750,
emphasis: {
focus: 'descendant',
},
},
],
}
const height = 600
```
:::输出：
::: echarts Tree
const data = await fetch(
'/data/flare.json',
).then(res => res.json())
const option = {
tooltip: {
trigger: 'item',
triggerOn: 'mousemove',
},
series: [
{
type: 'tree',
data: [data],
top: '18%',
bottom: '14%',
layout: 'radial',
symbol: 'emptyCircle',
symbolSize: 7,
initialTreeDepth: 3,
animationDurationUpdate: 750,
emphasis: {
focus: 'descendant',
},
},
],
}
const height = 600:::
多图
输入：
查看代码
::: echarts
```js
const option = {
legend: {},
tooltip: {
trigger: 'axis',
showContent: false,
},
dataset: {
source: [
['product', '2012', '2013', '2014', '2015', '2016', '2017'],
['Milk Tea', 56.5, 82.1, 88.7, 70.1, 53.4, 85.1],
['Matcha Latte', 51.1, 51.4, 55.1, 53.3, 73.8, 68.7],
['Cheese Cocoa', 40.1, 62.2, 69.5, 36.4, 45.2, 32.5],
['Walnut Brownie', 25.2, 37.1, 41.2, 18, 33.9, 49.1],
],
},
xAxis: { type: 'category' },
yAxis: { gridIndex: 0 },
grid: { top: '55%' },
series: [
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'pie',
id: 'pie',
radius: '30%',
center: ['50%', '25%'],
emphasis: {
focus: 'self',
},
label: {
formatter: '{b}: {@2012} ({d}%)',
},
encode: {
itemName: 'product',
value: '2012',
tooltip: '2012',
},
},
],
}
const height = 800
```
:::输出：
::: echarts
const option = {
legend: {},
tooltip: {
trigger: 'axis',
showContent: false,
},
dataset: {
source: [
['product', '2012', '2013', '2014', '2015', '2016', '2017'],
['Milk Tea', 56.5, 82.1, 88.7, 70.1, 53.4, 85.1],
['Matcha Latte', 51.1, 51.4, 55.1, 53.3, 73.8, 68.7],
['Cheese Cocoa', 40.1, 62.2, 69.5, 36.4, 45.2, 32.5],
['Walnut Brownie', 25.2, 37.1, 41.2, 18, 33.9, 49.1],
],
},
xAxis: { type: 'category' },
yAxis: { gridIndex: 0 },
grid: { top: '55%' },
series: [
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'line',
smooth: true,
seriesLayoutBy: 'row',
emphasis: { focus: 'series' },
},
{
type: 'pie',
id: 'pie',
radius: '30%',
center: ['50%', '25%'],
emphasis: {
focus: 'self',
},
label: {
formatter: '{b}: {@2012} ({d}%)',
},
encode: {
itemName: 'product',
value: '2012',
tooltip: '2012',
},
},
],
}
const height = 800:::