ECharts
Add ECharts support to the Markdown files in your VuePress site.
Installation
Install ECharts in your project:
pnpm add -D echartsyarn add -D echartsnpm i -D echartsThen enable it via:
import { markdownChartPlugin } from '@vuepress/plugin-markdown-chart'
export default {
plugins: [
markdownChartPlugin({
// Enable ECharts
echarts: true,
}),
],
}Syntax
With JSON
If you can generate your chart data easily, you can just provide echarts config using JSON code block:
::: echarts Title
```json
{
// Your echarts config here.
}
```
:::With Scripts
You should use json code block to provide your ECharts configuration whenever possible, however for dynamic data generation, you can also use script blocks.
Both js or javascript code block are supported. We will expose the echarts lib as echarts and the instance as myChart in the script, and you are expected to assign the echarts option object to option variable. Also, you can assign width and height variable to set the chart size.
Warning
For security reasons, you need to manually allow script blocks in certain files. Set DANGEROUS_ALLOW_SCRIPT_EXECUTION: true and DANGEROUS_SCRIPT_EXECUTION_ALLOWLIST: ['your/file/path.md'] in plugin options.
::: echarts Title
```js
const option = {
// Your echarts config here.
}
```
:::Tips
You can use top-level await and fetch to get data from network requests.
Advanced
You can import and call defineEChartsConfig in client config file to customize echarts.
import { defineEChartsConfig } from '@vuepress/plugin-markdown-chart/client'
defineEChartsConfig({
options: {
// global echarts options
},
setup: async () => {
// echarts setup
// e.g.: await import("echarts-wordcloud")
},
})Docs
For details, please see ECharts Docs.
Demo
::: echarts Dynamic Data & Time Axis
```js
const oneDay = 86400000
const data = []
let now = new Date(1997, 9, 3)
let value = Math.random() * 1000
const randomData = () => {
now = new Date(now.getTime() + 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) => {
const item = params[0]
const date = new Date(item.name)
return `${date.getDate()}/${
date.getMonth() + 1
}/${date.getFullYear()} : ${item.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) {
clearInterval(timeId)
return
}
for (let i = 0; i < 5; i++) {
data.shift()
data.push(randomData())
}
myChart.setOption({
series: [{ data }],
})
}, 1000)
```
:::::: 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',
}
const 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) {
clearInterval(timeId)
return
}
run()
}, 3000)
```
:::::: 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"
}
]
}
]
}
```
:::::: 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"
}
]
}
```
:::::: 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,
},
],
}
```
:::::: echarts Stocks
```js
const upColor = '#ec0000'
const upBorderColor = '#8A0000'
const downColor = '#00da3c'
const downBorderColor = '#008F28'
const 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],
])
const 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 += Number(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,
},
},
],
}
```
:::::: 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"
}
]
}
]
}
```
:::::: echarts
```js
/*
* perlin noise helper from https://github.com/josephg/noisejs
*/
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 = new Array(512)
const gradP = new Array(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.
const generateSeed = (seedValue) => {
let seed = seedValue
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] = v
perm[i + 256] = v
gradP[i] = grad3[v % 12]
gradP[i + 256] = grad3[v % 12]
}
}
generateSeed(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
const relativeX = x - X
const relativeY = y - Y
// Wrap the integer cells at 255 (smaller integer period can be introduced here)
X &= 255
Y &= 255
// Calculate noise contributions from each of the four corners
const n00 = gradP[X + perm[Y]].dot2(relativeX, relativeY)
const n01 = gradP[X + perm[Y + 1]].dot2(relativeX, relativeY - 1)
const n10 = gradP[X + 1 + perm[Y]].dot2(relativeX - 1, relativeY)
const n11 = gradP[X + 1 + perm[Y + 1]].dot2(relativeX - 1, relativeY - 1)
// Compute the fade curve value for x
const u = fade(relativeX)
// Interpolate the four results
return lerp(lerp(n00, n10, u), lerp(n01, n11, u), fade(relativeY))
}
return {
generateSeed,
perlin2,
}
}
const noise = getNoiseHelper()
const xData = []
const yData = []
noise.generateSeed(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
```
:::::: echarts Tree
```js
const data = await fetch(
'https://theme-hope-assets.vuejs.press/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
```
:::::: 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
```
:::::: echarts
```js
const option = {
// canvas background color
backgroundColor: '#ffa',
// The mouse pointer hangs to display the value
tooltip: {},
series: [
{
type: 'wordCloud',
// The shape of the "cloud" to draw. Can be any polar equation represented as a
// callback function, or a keyword present. Available presents are circle (default),
// cardioid (apple or heart shape curve, the most known polar equation), diamond (
// alias of square), triangle-forward, triangle, (alias of triangle-upright, pentagon, and star.
shape: 'circle',
// Keep aspect ratio of maskImage or 1:1 for shapes
// This option is supported since echarts-wordcloud@2.1.0
keepAspect: false,
// A silhouette image which the white area will be excluded from drawing texts.
// The shape option will continue to apply as the shape of the cloud to grow.
// maskImage: maskImage,
// Following left/top/width/height/right/bottom are used for positioning the word cloud
// Default to be put in the center and has 75% x 80% size.
left: 'center',
top: 'center',
width: '70%',
height: '80%',
right: null,
bottom: null,
// Text size range which the value in data will be mapped to.
// Default to have minimum 12px and maximum 60px size.
sizeRange: [12, 60],
// Text rotation range and step in degree. Text will be rotated randomly in range [-90, 90] by rotationStep 45
rotationRange: [-90, 90],
rotationStep: 45,
// size of the grid in pixels for marking the availability of the canvas
// the larger the grid size, the bigger the gap between words.
gridSize: 8,
// set to true to allow word to be drawn partly outside of the canvas.
// Allow word bigger than the size of the canvas to be drawn
// This option is supported since echarts-wordcloud@2.1.0
drawOutOfBound: false,
// if the font size is too large for the text to be displayed,
// whether to shrink the text. If it is set to false, the text will
// not be rendered. If it is set to true, the text will be shrunk.
// This option is supported since echarts-wordcloud@2.1.0
shrinkToFit: false,
// If perform layout animation.
// NOTE disable it will lead to UI blocking when there is lots of words.
layoutAnimation: true,
// Global text style
textStyle: {
fontFamily: 'sans-serif',
fontWeight: 'bold',
// Color can be a callback function or a color string
color() {
// Random color
return `rgb(${[
Math.round(Math.random() * 160),
Math.round(Math.random() * 160),
Math.round(Math.random() * 160),
].join(',')})`
},
},
emphasis: {
focus: 'self',
textStyle: {
textShadowBlur: 10,
textShadowColor: '#333',
},
},
// Data is an array. Each array item must have name and value property.
// textStyle must not be empty
data: [
{
name: 'vuepress theme hope',
value: 8888,
},
{
name: 'Mr.Hope',
value: 10000,
textStyle: {
color: 'black',
},
emphasis: {
textStyle: {
color: '#BDBEFA',
shadowBlur: 4,
shadowOffsetY: 14,
},
},
},
],
},
],
}
```
:::