switch back to LoveIt, other theme is deprectated
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4260 changed files with 49552 additions and 87082 deletions
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---
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weight: 6
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title: "Theme Documentation - echarts Shortcode"
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date: 2020-03-03T14:29:41+08:00
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lastmod: 2020-03-03T14:29:41+08:00
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draft: false
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author: "Dillon"
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authorLink: "https://dillonzq.com"
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description: "The echarts shortcode supports data visualization in Hugo with ECharts library."
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images: []
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resources:
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- name: "featured-image"
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src: "featured-image.jpg"
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tags: ["shortcodes"]
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categories: ["documentation"]
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hiddenFromHomePage: true
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toc:
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enable: false
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||||
code:
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maxShownLines: 70
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---
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||||
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The `echarts` shortcode supports data visualization in Hugo with [ECharts](https://echarts.apache.org/) library.
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<!--more-->
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**ECharts** is a library helping you to generate interactive data visualization.
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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.
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Just insert your ECharts option in `JSON`/`YAML`/`TOML` format in the `echarts` shortcode and that’s it.
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Example `echarts` input in `JSON` format:
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```json
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{{</* echarts */>}}
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{
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"title": {
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"text": "Summary Line Chart",
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"top": "2%",
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"left": "center"
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},
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"tooltip": {
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"trigger": "axis"
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},
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"legend": {
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"data": ["Email Marketing", "Affiliate Advertising", "Video Advertising", "Direct View", "Search Engine"],
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"top": "10%"
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},
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"grid": {
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"left": "5%",
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"right": "5%",
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"bottom": "5%",
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"top": "20%",
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"containLabel": true
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},
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"toolbox": {
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"feature": {
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"saveAsImage": {
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"title": "Save as Image"
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}
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}
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},
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"xAxis": {
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"type": "category",
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"boundaryGap": false,
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"data": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
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},
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"yAxis": {
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"type": "value"
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},
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"series": [
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{
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"name": "Email Marketing",
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"type": "line",
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"stack": "Total",
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"data": [120, 132, 101, 134, 90, 230, 210]
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},
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{
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"name": "Affiliate Advertising",
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"type": "line",
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"stack": "Total",
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"data": [220, 182, 191, 234, 290, 330, 310]
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},
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{
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"name": "Video Advertising",
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"type": "line",
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"stack": "Total",
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"data": [150, 232, 201, 154, 190, 330, 410]
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},
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{
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"name": "Direct View",
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"type": "line",
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"stack": "Total",
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"data": [320, 332, 301, 334, 390, 330, 320]
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},
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{
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"name": "Search Engine",
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"type": "line",
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"stack": "Total",
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"data": [820, 932, 901, 934, 1290, 1330, 1320]
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}
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]
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}
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{{</* /echarts */>}}
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```
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The same in `YAML` format:
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```yaml
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{{</* echarts */>}}
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title:
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text: Summary Line Chart
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top: 2%
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left: center
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tooltip:
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trigger: axis
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legend:
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data:
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- Email Marketing
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- Affiliate Advertising
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- Video Advertising
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- Direct View
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- Search Engine
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top: 10%
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grid:
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left: 5%
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right: 5%
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bottom: 5%
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top: 20%
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containLabel: true
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toolbox:
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feature:
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saveAsImage:
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title: Save as Image
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xAxis:
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type: category
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boundaryGap: false
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data:
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- Monday
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- Tuesday
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- Wednesday
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- Thursday
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- Friday
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- Saturday
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- Sunday
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yAxis:
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type: value
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series:
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- name: Email Marketing
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type: line
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stack: Total
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data:
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- 120
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- 132
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- 101
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- 134
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- 90
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- 230
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- 210
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- name: Affiliate Advertising
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type: line
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stack: Total
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data:
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- 220
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- 182
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- 191
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- 234
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- 290
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- 330
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- 310
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- name: Video Advertising
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type: line
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stack: Total
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data:
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- 150
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- 232
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- 201
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- 154
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- 190
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- 330
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- 410
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- name: Direct View
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type: line
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stack: Total
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data:
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- 320
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- 332
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- 301
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- 334
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- 390
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- 330
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- 320
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- name: Search Engine
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type: line
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stack: Total
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data:
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- 820
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- 932
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- 901
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- 934
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- 1290
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- 1330
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- 1320
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{{</* /echarts */>}}
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```
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The same in `TOML` format:
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```toml
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{{</* echarts */>}}
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[title]
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text = "Summary Line Chart"
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top = "2%"
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left = "center"
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[tooltip]
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trigger = "axis"
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|
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[legend]
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data = [
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"Email Marketing",
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"Affiliate Advertising",
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"Video Advertising",
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"Direct View",
|
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"Search Engine"
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]
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top = "10%"
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[grid]
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left = "5%"
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right = "5%"
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bottom = "5%"
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top = "20%"
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containLabel = true
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[toolbox]
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[toolbox.feature]
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[toolbox.feature.saveAsImage]
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title = "Save as Image"
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[xAxis]
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type = "category"
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boundaryGap = false
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data = [
|
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"Monday",
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"Tuesday",
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"Wednesday",
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"Thursday",
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"Friday",
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"Saturday",
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"Sunday"
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]
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|
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[yAxis]
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type = "value"
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[[series]]
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name = "Email Marketing"
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type = "line"
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stack = "Total"
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data = [
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120.0,
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132.0,
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101.0,
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134.0,
|
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90.0,
|
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230.0,
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210.0
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]
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|
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[[series]]
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name = "Affiliate Advertising"
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type = "line"
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stack = "Total"
|
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data = [
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220.0,
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182.0,
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191.0,
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234.0,
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290.0,
|
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330.0,
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310.0
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||||
]
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||||
|
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[[series]]
|
||||
name = "Video Advertising"
|
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type = "line"
|
||||
stack = "Total"
|
||||
data = [
|
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150.0,
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232.0,
|
||||
201.0,
|
||||
154.0,
|
||||
190.0,
|
||||
330.0,
|
||||
410.0
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||||
]
|
||||
|
||||
[[series]]
|
||||
name = "Direct View"
|
||||
type = "line"
|
||||
stack = "Total"
|
||||
data = [
|
||||
320.0,
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332.0,
|
||||
301.0,
|
||||
334.0,
|
||||
390.0,
|
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330.0,
|
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320.0
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||||
]
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||||
|
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[[series]]
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name = "Search Engine"
|
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type = "line"
|
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stack = "Total"
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data = [
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820.0,
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932.0,
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901.0,
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934.0,
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1290.0,
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1330.0,
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1320.0
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]
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{{</* /echarts */>}}
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```
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The rendered output looks like this:
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{{< echarts >}}
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{
|
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"title": {
|
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"text": "Summary Line Chart",
|
||||
"top": "2%",
|
||||
"left": "center"
|
||||
},
|
||||
"tooltip": {
|
||||
"trigger": "axis"
|
||||
},
|
||||
"legend": {
|
||||
"data": ["Email Marketing", "Affiliate Advertising", "Video Advertising", "Direct View", "Search Engine"],
|
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"top": "10%"
|
||||
},
|
||||
"grid": {
|
||||
"left": "5%",
|
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"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]
|
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},
|
||||
{
|
||||
"name": "Search Engine",
|
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"type": "line",
|
||||
"stack": "Total",
|
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"data": [820, 932, 901, 934, 1290, 1330, 1320]
|
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}
|
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]
|
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}
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{{< /echarts >}}
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|
||||
The `echarts` shortcode has also the following named parameters:
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|
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* **width** *[optional]* (**first** positional parameter)
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|
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{{< version 0.2.0 >}} Width of the data visualization, default value is `100%`.
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* **height** *[optional]* (**second** positional parameter)
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{{< version 0.2.0 >}} Height of the data visualization, default value is `30rem`.
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@ -0,0 +1,414 @@
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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`.
|
Loading…
Add table
Add a link
Reference in a new issue