使用BlankerL提供的数据仓库实现的新型冠状病毒疫情数据可视化
Stand with Wuhan
Stand with China
使用BlankerL提供的数据仓库和pyecharts实现的新型冠状病毒疫情数据可视化
数据源： https://github.com/BlankerL/DXY-2019-nCoV-Crawler
可视化： https://github.com/pyecharts/pyecharts
你好，请问2.16号之后及现在的数据怎样动态刷新到图表中，运行,py文件吗？没接触过Python，想借此学习一下，可以话，跟我说一下您的邮箱或者WX号来联系，谢谢啦
您好，刚刚看了您的关于NCP数据可视化的demo，美观舒适的页面布局以及清晰的数据展示无不令我佩服！ （我会跟进学习）
您好，刚刚看到了您的可视化，感觉是我目前见过的最棒的**可视化。而且是python实现的 ，太厉害了。（会跟进和默默学习您这个动态可视化）
顺便告知，我把您的dashboard 分享在了我的repo里。https://github.com/YiranJing/Coronavirus-Epidemic-2019-nCov
有什么办法可以加速运行吗
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