---
weight: 6
title: "Theme Documentation - echarts Shortcode"
date: 2020-03-03T14:29:41+08:00
lastmod: 2020-03-03T14:29:41+08:00
draft: false
author: "Dillon"
authorLink: "https://dillonzq.com"
description: "The echarts shortcode supports data visualization in Hugo with ECharts library."
images: []
resources:
- name: "featured-image"
  src: "featured-image.jpg"

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

hiddenFromHomePage: true

toc:
  enable: false
code:
  maxShownLines: 70
---

The `echarts` shortcode supports data visualization in Hugo with [ECharts](https://echarts.apache.org/) library.

<!--more-->

**ECharts** is a library helping you to generate interactive data visualization.

The basic chart types ECharts supports include [line series](https://echarts.apache.org/en/option.html#series-line), [bar series](https://echarts.apache.org/en/option.html#series-line), [scatter series](https://echarts.apache.org/en/option.html#series-scatter), [pie charts](https://echarts.apache.org/en/option.html#series-pie), [candle-stick series](https://echarts.apache.org/en/option.html#series-candlestick), [boxplot series](https://echarts.apache.org/en/option.html#series-boxplot) for statistics, [map series](https://echarts.apache.org/en/option.html#series-map), [heatmap series](https://echarts.apache.org/en/option.html#series-heatmap), [lines series](https://echarts.apache.org/en/option.html#series-lines) for directional information, [graph series](https://echarts.apache.org/en/option.html#series-graph) for relationships, [treemap series](https://echarts.apache.org/en/option.html#series-treemap), [sunburst series](https://echarts.apache.org/en/option.html#series-sunburst), [parallel series](https://echarts.apache.org/en/option.html#series-parallel) for multi-dimensional data, [funnel series](https://echarts.apache.org/en/option.html#series-funnel), [gauge series](https://echarts.apache.org/en/option.html#series-gauge). And it's extremely easy to create a combinition of them with ECharts.

Just insert your ECharts option in `JSON`/`YAML`/`TOML` format in the `echarts` shortcode and that’s it.

Example `echarts` input in `JSON` format:

```json
{{</* echarts */>}}
{
  "title": {
    "text": "Summary Line Chart",
    "top": "2%",
    "left": "center"
  },
  "tooltip": {
    "trigger": "axis"
  },
  "legend": {
    "data": ["Email Marketing", "Affiliate Advertising", "Video Advertising", "Direct View", "Search Engine"],
    "top": "10%"
  },
  "grid": {
    "left": "5%",
    "right": "5%",
    "bottom": "5%",
    "top": "20%",
    "containLabel": true
  },
  "toolbox": {
    "feature": {
      "saveAsImage": {
        "title": "Save as Image"
      }
    }
  },
  "xAxis": {
    "type": "category",
    "boundaryGap": false,
    "data": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
  },
  "yAxis": {
    "type": "value"
  },
  "series": [
    {
      "name": "Email Marketing",
      "type": "line",
      "stack": "Total",
      "data": [120, 132, 101, 134, 90, 230, 210]
    },
    {
      "name": "Affiliate Advertising",
      "type": "line",
      "stack": "Total",
      "data": [220, 182, 191, 234, 290, 330, 310]
    },
    {
      "name": "Video Advertising",
      "type": "line",
      "stack": "Total",
      "data": [150, 232, 201, 154, 190, 330, 410]
    },
    {
      "name": "Direct View",
      "type": "line",
      "stack": "Total",
      "data": [320, 332, 301, 334, 390, 330, 320]
    },
    {
      "name": "Search Engine",
      "type": "line",
      "stack": "Total",
      "data": [820, 932, 901, 934, 1290, 1330, 1320]
    }
  ]
}
{{</* /echarts */>}}
```

The same in `YAML` format:

```yaml
{{</* echarts */>}}
title:
    text: Summary Line Chart
    top: 2%
    left: center
tooltip:
    trigger: axis
legend:
    data:
        - Email Marketing
        - Affiliate Advertising
        - Video Advertising
        - Direct View
        - Search Engine
    top: 10%
grid:
    left: 5%
    right: 5%
    bottom: 5%
    top: 20%
    containLabel: true
toolbox:
    feature:
        saveAsImage:
            title: Save as Image
xAxis:
    type: category
    boundaryGap: false
    data:
        - Monday
        - Tuesday
        - Wednesday
        - Thursday
        - Friday
        - Saturday
        - Sunday
yAxis:
    type: value
series:
    - name: Email Marketing
      type: line
      stack: Total
      data:
          - 120
          - 132
          - 101
          - 134
          - 90
          - 230
          - 210
    - name: Affiliate Advertising
      type: line
      stack: Total
      data:
          - 220
          - 182
          - 191
          - 234
          - 290
          - 330
          - 310
    - name: Video Advertising
      type: line
      stack: Total
      data:
          - 150
          - 232
          - 201
          - 154
          - 190
          - 330
          - 410
    - name: Direct View
      type: line
      stack: Total
      data:
          - 320
          - 332
          - 301
          - 334
          - 390
          - 330
          - 320
    - name: Search Engine
      type: line
      stack: Total
      data:
          - 820
          - 932
          - 901
          - 934
          - 1290
          - 1330
          - 1320
{{</* /echarts */>}}
```

The same in `TOML` format:

```toml
{{</* echarts */>}}
[title]
text = "Summary Line Chart"
top = "2%"
left = "center"

[tooltip]
trigger = "axis"

[legend]
data = [
  "Email Marketing",
  "Affiliate Advertising",
  "Video Advertising",
  "Direct View",
  "Search Engine"
]
top = "10%"

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

[toolbox]
[toolbox.feature]
[toolbox.feature.saveAsImage]
title = "Save as Image"

[xAxis]
type = "category"
boundaryGap = false
data = [
  "Monday",
  "Tuesday",
  "Wednesday",
  "Thursday",
  "Friday",
  "Saturday",
  "Sunday"
]

[yAxis]
type = "value"

[[series]]
name = "Email Marketing"
type = "line"
stack = "Total"
data = [
  120.0,
  132.0,
  101.0,
  134.0,
  90.0,
  230.0,
  210.0
]

[[series]]
name = "Affiliate Advertising"
type = "line"
stack = "Total"
data = [
  220.0,
  182.0,
  191.0,
  234.0,
  290.0,
  330.0,
  310.0
]

[[series]]
name = "Video Advertising"
type = "line"
stack = "Total"
data = [
  150.0,
  232.0,
  201.0,
  154.0,
  190.0,
  330.0,
  410.0
]

[[series]]
name = "Direct View"
type = "line"
stack = "Total"
data = [
  320.0,
  332.0,
  301.0,
  334.0,
  390.0,
  330.0,
  320.0
]

[[series]]
name = "Search Engine"
type = "line"
stack = "Total"
data = [
  820.0,
  932.0,
  901.0,
  934.0,
  1290.0,
  1330.0,
  1320.0
]
{{</* /echarts */>}}
```

The rendered output looks like this:

{{< echarts >}}
{
  "title": {
    "text": "Summary Line Chart",
    "top": "2%",
    "left": "center"
  },
  "tooltip": {
    "trigger": "axis"
  },
  "legend": {
    "data": ["Email Marketing", "Affiliate Advertising", "Video Advertising", "Direct View", "Search Engine"],
    "top": "10%"
  },
  "grid": {
    "left": "5%",
    "right": "5%",
    "bottom": "5%",
    "top": "20%",
    "containLabel": true
  },
  "toolbox": {
    "feature": {
      "saveAsImage": {
        "title": "Save as Image"
      }
    }
  },
  "xAxis": {
    "type": "category",
    "boundaryGap": false,
    "data": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
  },
  "yAxis": {
    "type": "value"
  },
  "series": [
    {
      "name": "Email Marketing",
      "type": "line",
      "stack": "Total",
      "data": [120, 132, 101, 134, 90, 230, 210]
    },
    {
      "name": "Affiliate Advertising",
      "type": "line",
      "stack": "Total",
      "data": [220, 182, 191, 234, 290, 330, 310]
    },
    {
      "name": "Video Advertising",
      "type": "line",
      "stack": "Total",
      "data": [150, 232, 201, 154, 190, 330, 410]
    },
    {
      "name": "Direct View",
      "type": "line",
      "stack": "Total",
      "data": [320, 332, 301, 334, 390, 330, 320]
    },
    {
      "name": "Search Engine",
      "type": "line",
      "stack": "Total",
      "data": [820, 932, 901, 934, 1290, 1330, 1320]
    }
  ]
}
{{< /echarts >}}

The `echarts` shortcode has also the following named parameters:

* **width** *[optional]* (**first** positional parameter)

    {{< version 0.2.0 >}} Width of the data visualization, default value is `100%`.

* **height** *[optional]* (**second** positional parameter)

    {{< version 0.2.0 >}} Height of the data visualization, default value is `30rem`.