cullmann.io/themes/LoveIt/exampleSite/content/posts/theme-documentation-echarts-shortcode/index.zh-cn.md

---
weight: 6
title: "主题文档 - echarts Shortcode"
date: 2020-03-03T14:29:59+08:00
lastmod: 2020-03-03T14:29:59+08:00
draft: false
author: "Dillon"
authorLink: "https://dillonzq.com"
description: "echarts shortcode 使用 ECharts 库提供数据可视化的功能."
images: []
resources:
- name: "featured-image"
  src: "featured-image.jpg"

tags: ["shortcodes"]
categories: ["documentation"]

hiddenFromHomePage: true

toc:
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code:
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---

`echarts` shortcode 使用 [ECharts](https://echarts.apache.org/) 库提供数据可视化的功能.

<!--more-->

**ECharts** 是一个帮助你生成交互式数据可视化的库.

ECharts 提供了常规的 [折线图](https://echarts.apache.org/zh/option.html#series-line), [柱状图](https://echarts.apache.org/zh/option.html#series-line), [散点图](https://echarts.apache.org/zh/option.html#series-scatter), [饼图](https://echarts.apache.org/zh/option.html#series-pie), [K线图](https://echarts.apache.org/zh/option.html#series-candlestick), 用于统计的 [盒形图](https://echarts.apache.org/zh/option.html#series-boxplot), 用于地理数据可视化的 [地图](https://echarts.apache.org/zh/option.html#series-map), [热力图](https://echarts.apache.org/zh/option.html#series-heatmap), [线图](https://echarts.apache.org/zh/option.html#series-lines), 用于关系数据可视化的 [关系图](https://echarts.apache.org/zh/option.html#series-graph), [treemap](https://echarts.apache.org/zh/option.html#series-treemap), [旭日图](https://echarts.apache.org/zh/option.html#series-sunburst), 多维数据可视化的 [平行坐标](https://echarts.apache.org/zh/option.html#series-parallel), 还有用于 BI 的 [漏斗图](https://echarts.apache.org/zh/option.html#series-funnel), [仪表盘](https://echarts.apache.org/zh/option.html#series-gauge), 并且支持图与图之间的混搭.

只需在 `echarts` shortcode 中以 `JSON`/`YAML`/`TOML`格式插入 ECharts 选项即可.

一个 `JSON` 格式的 `echarts` 示例:

```json
{{</* echarts */>}}
{
  "title": {
    "text": "折线统计图",
    "top": "2%",
    "left": "center"
  },
  "tooltip": {
    "trigger": "axis"
  },
  "legend": {
    "data": ["邮件营销", "联盟广告", "视频广告", "直接访问", "搜索引擎"],
    "top": "10%"
  },
  "grid": {
    "left": "5%",
    "right": "5%",
    "bottom": "5%",
    "top": "20%",
    "containLabel": true
  },
  "toolbox": {
    "feature": {
      "saveAsImage": {
        "title": "保存为图片"
      }
    }
  },
  "xAxis": {
    "type": "category",
    "boundaryGap": false,
    "data": ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
  },
  "yAxis": {
    "type": "value"
  },
  "series": [
    {
      "name": "邮件营销",
      "type": "line",
      "stack": "总量",
      "data": [120, 132, 101, 134, 90, 230, 210]
    },
    {
      "name": "联盟广告",
      "type": "line",
      "stack": "总量",
      "data": [220, 182, 191, 234, 290, 330, 310]
    },
    {
      "name": "视频广告",
      "type": "line",
      "stack": "总量",
      "data": [150, 232, 201, 154, 190, 330, 410]
    },
    {
      "name": "直接访问",
      "type": "line",
      "stack": "总量",
      "data": [320, 332, 301, 334, 390, 330, 320]
    },
    {
      "name": "搜索引擎",
      "type": "line",
      "stack": "总量",
      "data": [820, 932, 901, 934, 1290, 1330, 1320]
    }
  ]
}
{{</* /echarts */>}}
```

一个 `YAML` 格式的 `echarts` 示例:

```yaml
{{</* echarts */>}}
title:
    text: 折线统计图
    top: 2%
    left: center
tooltip:
    trigger: axis
legend:
    data:
        - 邮件营销
        - 联盟广告
        - 视频广告
        - 直接访问
        - 搜索引擎
    top: 10%
grid:
    left: 5%
    right: 5%
    bottom: 5%
    top: 20%
    containLabel: true
toolbox:
    feature:
        saveAsImage:
            title: 保存为图片
xAxis:
    type: category
    boundaryGap: false
    data:
        - 周一
        - 周二
        - 周三
        - 周四
        - 周五
        - 周六
        - 周日
yAxis:
    type: value
series:
    - name: 邮件营销
      type: line
      stack: 总量
      data:
          - 120
          - 132
          - 101
          - 134
          - 90
          - 230
          - 210
    - name: 联盟广告
      type: line
      stack: 总量
      data:
          - 220
          - 182
          - 191
          - 234
          - 290
          - 330
          - 310
    - name: 视频广告
      type: line
      stack: 总量
      data:
          - 150
          - 232
          - 201
          - 154
          - 190
          - 330
          - 410
    - name: 直接访问
      type: line
      stack: 总量
      data:
          - 320
          - 332
          - 301
          - 334
          - 390
          - 330
          - 320
    - name: 搜索引擎
      type: line
      stack: 总量
      data:
          - 820
          - 932
          - 901
          - 934
          - 1290
          - 1330
          - 1320
{{</* /echarts */>}}
```

一个 `TOML` 格式的 `echarts` 示例:

```toml
{{</* echarts */>}}
[title]
text = "折线统计图"
top = "2%"
left = "center"

[tooltip]
trigger = "axis"

[legend]
data = [
  "邮件营销",
  "联盟广告",
  "视频广告",
  "直接访问",
  "搜索引擎"
]
top = "10%"

[grid]
left = "5%"
right = "5%"
bottom = "5%"
top = "20%"
containLabel = true

[toolbox]
[toolbox.feature]
[toolbox.feature.saveAsImage]
title = "保存为图片"

[xAxis]
type = "category"
boundaryGap = false
data = [
  "周一",
  "周二",
  "周三",
  "周四",
  "周五",
  "周六",
  "周日"
]

[yAxis]
type = "value"

[[series]]
name = "邮件营销"
type = "line"
stack = "总量"
data = [
  120.0,
  132.0,
  101.0,
  134.0,
  90.0,
  230.0,
  210.0
]

[[series]]
name = "联盟广告"
type = "line"
stack = "总量"
data = [
  220.0,
  182.0,
  191.0,
  234.0,
  290.0,
  330.0,
  310.0
]

[[series]]
name = "视频广告"
type = "line"
stack = "总量"
data = [
  150.0,
  232.0,
  201.0,
  154.0,
  190.0,
  330.0,
  410.0
]

[[series]]
name = "直接访问"
type = "line"
stack = "总量"
data = [
  320.0,
  332.0,
  301.0,
  334.0,
  390.0,
  330.0,
  320.0
]

[[series]]
name = "搜索引擎"
type = "line"
stack = "总量"
data = [
  820.0,
  932.0,
  901.0,
  934.0,
  1290.0,
  1330.0,
  1320.0
]
{{</* /echarts */>}}
```

呈现的输出效果如下:

{{< echarts >}}
{
  "title": {
    "text": "折线统计图",
    "top": "2%",
    "left": "center"
  },
  "tooltip": {
    "trigger": "axis"
  },
  "legend": {
    "data": ["邮件营销", "联盟广告", "视频广告", "直接访问", "搜索引擎"],
    "top": "10%"
  },
  "grid": {
    "left": "5%",
    "right": "5%",
    "bottom": "5%",
    "top": "20%",
    "containLabel": true
  },
  "toolbox": {
    "feature": {
      "saveAsImage": {
        "title": "保存为图片"
      }
    }
  },
  "xAxis": {
    "type": "category",
    "boundaryGap": false,
    "data": ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
  },
  "yAxis": {
    "type": "value"
  },
  "series": [
    {
      "name": "邮件营销",
      "type": "line",
      "stack": "总量",
      "data": [120, 132, 101, 134, 90, 230, 210]
    },
    {
      "name": "联盟广告",
      "type": "line",
      "stack": "总量",
      "data": [220, 182, 191, 234, 290, 330, 310]
    },
    {
      "name": "视频广告",
      "type": "line",
      "stack": "总量",
      "data": [150, 232, 201, 154, 190, 330, 410]
    },
    {
      "name": "直接访问",
      "type": "line",
      "stack": "总量",
      "data": [320, 332, 301, 334, 390, 330, 320]
    },
    {
      "name": "搜索引擎",
      "type": "line",
      "stack": "总量",
      "data": [820, 932, 901, 934, 1290, 1330, 1320]
    }
  ]
}
{{< /echarts >}}

`echarts` shortcode 还有以下命名参数:

* **width** *[可选]* (**第一个**位置参数)

    {{< version 0.2.0 >}} 数据可视化的宽度, 默认值是 `100%`.

* **height** *[可选]* (**第二个**位置参数)

    {{< version 0.2.0 >}} 数据可视化的高度, 默认值是 `30rem`.