bot_dev1
85df71fc28
- 新增OperationDashboard.vue全屏大屏组件 - 添加6个核心KPI指标卡片: 进水总量/出水总量/产销差率/营收额/平均水质/报警次数 - 实现6个ECharts图表: 供水趋势/水质分布/报警统计/管网空间/设备状态/营收分析 - 创建静态HTML版本operation-dashboard.html，使用CDN加载Vue3/ECharts/Element Plus - 更新路由配置，添加/operation路径支持 - 修复nextTick导入问题，优化build脚本 🚧 开发者: bot_dev1 📝 任务: #38 [BI] 运营仪表盘 + 供水专题大屏
4.1 KiB
Apache ECharts
Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library.
Get Apache ECharts
You may choose one of the following methods:
- Download from the official website
npm install echarts --save- CDN: jsDelivr CDN
Docs
Get Help
- GitHub Issues for bug report and feature requests
- Email dev@echarts.apache.org for general questions
- Subscribe to the mailing list to get updated with the project
Build
Build echarts source code:
Execute the instructions in the root directory of the echarts: (Node.js is required)
# Install the dependencies from NPM:
npm install
# Rebuild source code immediately in watch mode when changing the source code.
# It opens the `./test` directory, and you may open `-cases.html` to get the list
# of all test cases.
# If you wish to create a test case, run `npm run mktest:help` to learn more.
npm run dev
# Check the correctness of TypeScript code.
npm run checktype
# If intending to build and get all types of the "production" files:
npm run release
Then the "production" files are generated in the dist directory.
Contribution
Please refer to the contributing document if you wish to debug locally or make pull requests.
Resources
Awesome ECharts
https://github.com/ecomfe/awesome-echarts
Extensions
-
ECharts GL An extension pack of ECharts, which provides 3D plots, globe visualization, and WebGL acceleration.
-
Extension for Baidu Map 百度地图扩展 An extension provides a wrapper of Baidu Map Service SDK.
-
vue-echarts ECharts component for Vue.js
-
echarts-stat Statistics tool for ECharts
License
ECharts is available under the Apache License V2.
Code of Conduct
Please refer to Apache Code of Conduct.
Paper
Deqing Li, Honghui Mei, Yi Shen, Shuang Su, Wenli Zhang, Junting Wang, Ming Zu, Wei Chen. ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. Visual Informatics, 2018.