nCov:nCov -- 通过Flask搭建webEcharts可视化大屏
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nCov项目总结文档
前言
通过Flask搭建web/Echarts可视化大屏，并定时获取数据。
参考视频：
参考效果：
项目介绍
基于Python+Flask+Echarts的Epidemic监控系统，主要技术路线如下：
Python爬虫
Python操作MySql数据库
使用Flask构建web项目
基于Echarts的数据可视化展示
在Linux上部署web项目以及定时获取数据
nCov数据可视化大屏流程：
项目结构安排：
├── app.py #Flask启动文件
├── chromedriver_win32 #chrome浏览器驱动
│ └── chromedriver.exe
├── db.py #数据库连接配置
├── log #存放爬虫日志
│ └── log_his
├── __pycache__
│ ├── app.cpy
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明