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---
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:
enable: false
code:
maxShownLines: 70
---
`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`.
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