摘要
随着新冠肺炎疫情的日益严重,全国上下皆密切关注疫情的数据变化,随着疫情时间的推移,数据量变大变多,故利用便捷的工具实现美观的可视化尤为重要。借助于Python的标准库和第三方库,可以实现新冠肺炎疫情数据的实时抓取,经过相关的数据处理后,逐步绘制了疫情的各种趋势图和全国地图,由图可挖掘中国疫情发展的整体过程,以及中国政府和人民为之做出的努力。系统为网络数据的下载、处理及可视化分析提供了可借鉴的处理方法。
With the novel coronavirus epidemic becoming more and more serious,the epidemic data are closely monitored all over the country.With the passing of the epidemic time,the data quantity has become larger and larger.It is particularly important to use the convenient tools to achieve the beautiful visualization.The novel coronavirus pneumonia epidemic data was captured in real time by the way of Python's standard library and third party library.After processing the relevant data,the epidemic trend maps and the national map are gradually drawn up.The development process of the whole epidemic situation in China can be excavated by the graph,and the efforts made by China's government and people.The system provides a referable method for downloading,processing and visual analysis of network data.
作者
刘玉玲
郑力新
LIU Yuling;ZHENG Lixin(College of Electronics and Electrical Engineering,Xiamen Institute of Technology,Xiamen 361000,China;College of Engineering,Huaqiao University,Quanzhou 362021,China)
出处
《电子设计工程》
2021年第7期40-44,共5页
Electronic Design Engineering
关键词
数据抓取
数据可视化
新冠肺炎疫情
疫情地图
data grabbing
data visualization
novel coronavirus pneumonia
epidemic map
