ECharts
小于 1 分钟
让你 VuePress 站点中的 Markdown 文件支持图表。
配置
在你的项目中安装 ECharts:
pnpm
pnpm add -D echarts
yarn
yarn add -D echarts
npm
npm i -D echarts
之后启用它:
import { defineUserConfig } from "vuepress";
import { hopeTheme } from "vuepress-theme-hope";
export default defineUserConfig({
theme: hopeTheme({
markdown: {
echarts: true,
},
}),
});
格式
使用 JSON
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
}
```
:::
使用脚本
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
};
```
:::
提示
你可以使用顶级 await 和 fetch
来从网络请求中获取数据。
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 { defineClientConfig } from "vuepress/client";
import { defineEChartsConfig } from "vuepress-plugin-md-enhance/client";
defineEChartsConfig({
options: {
// 全局 ECharts 配置
},
setup: async () => {
// ECharts 设置
// 例如: await import("echarts-wordcloud")
},
});
export default defineClientConfig({
// ...
});
文档
相关详情,详见 ECharts 文档.
案例
线图
Dynamic Data & Time Axis
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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 + 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: function (params) {
params = params[0];
var 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: 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: data,
},
],
});
}, 1000);
```
:::
<!-- #include-env-end -->
柱状图
A bar chart
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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: 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) return clearInterval(timeId);
run();
}, 3000);
```
:::
<!-- #include-env-end -->
饼图
A nightingale chart
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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"
}
]
}
]
}
```
:::
<!-- #include-env-end -->
散点图
A scatter chart
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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"
}
]
}
```
:::
<!-- #include-env-end -->
极坐标图
Two Value-Axes in Polar
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: echarts Two Value-Axes in Polar
```js
const data = [];
for (let i = 0; i <= 100; i++) {
let theta = (i / 100) * 360;
let 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: data,
},
],
};
```
:::
<!-- #include-env-end -->
烛台图
Stocks
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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: categoryData,
values: 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 += +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,
},
},
],
};
```
:::
<!-- #include-env-end -->
雷达图
A Radar Chart
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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"
}
]
}
]
}
```
:::
<!-- #include-env-end -->
热力图
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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
let perm = new Array(512);
let 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.
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),
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
let n00 = gradP[X + perm[Y]].dot2(x, y);
let n01 = gradP[X + perm[Y + 1]].dot2(x, y - 1);
let n10 = gradP[X + 1 + perm[Y]].dot2(x - 1, y);
let n11 = gradP[X + 1 + perm[Y + 1]].dot2(x - 1, y - 1);
// Compute the fade curve value for x
let u = fade(x);
// Interpolate the four results
return lerp(lerp(n00, n10, u), lerp(n01, n11, u), fade(y));
}
return {
seed,
perlin2,
};
}
let noise = getNoiseHelper();
let xData = [];
let yData = [];
noise.seed(Math.random());
let 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: data,
emphasis: {
itemStyle: {
borderColor: "#333",
borderWidth: 1,
},
},
progressive: 1000,
animation: false,
},
],
};
const height = 500;
```
:::
<!-- #include-env-end -->
树图
Tree
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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;
```
:::
<!-- #include-env-end -->
多图
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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;
```
:::
<!-- #include-env-end -->
词云 (通过设置函数)
<!-- #include-env-start: /home/runner/work/vuepress-theme-hope/vuepress-theme-hope/docs/md-enhance/src/echarts -->
::: 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 shrinked.
// 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: function () {
// 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,
// Style of single text
//textStyle: {},
},
{
name: "Mr.Hope",
value: 10000,
textStyle: {
color: "black",
},
emphasis: {
textStyle: {
color: "#BDBEFA",
shadowBlur: 4,
shadowOffsetY: 14,
},
},
},
],
},
],
};
```
:::
<!-- #include-env-end -->