ECharts

pengzhanbo

589字约2分钟

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 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,
      },
    }
  })
})

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 widthheight 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 awaitfetch 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 { defineClientConfig } from 'vuepress/client'
import { defineEchartsConfig } from 'vuepress-theme-plume/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:

Dynamic Data & Time Axis

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:

A bar chart

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:

A nightingale chart

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:

A scatter chart

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:

Two Value-Axes in Polar

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:

Stocks

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:

A Radar Chart

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:

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:

Tree

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: