基于Python的“哔哩哔哩视频网“视频热度分析

AbstractIn the 21st century,the development of the Internet is faster and faster,the online entertainment is more and more diversified,and now watchingvideos on the Internet for leisure time is more and more popular.Bilibili isone of the most popular video websites for young people today.As ofOctober 2019,Bilibili accounts for 90 percent of all online video users,according to a survey.Bilibilibili has higher user loyalty than other platforms,with a 12-month retention rate of 79%according to its recruitment report,compared with 60%of users registered in 2009 who are still active today.Bilibilibili is the most popular comprehensive user website in China.Analyzing its video popularity can analyze the hobbies of the 15-45-year-oldgroup from the side,which has important research significance.This paper is based on Python "BiliBili video network"video heatanalysis.First of all,it introduces the related technologies used in this paper,including the scrapy framework,pandas library and pyecharts library.Then,according to the page analysis,we use the method based on scratch tocapture the data of bilibilibili video network,and show some data results,and preprocess the data.Then we visualize the partition proportion,theaverage playback volume,the average triple connection,the averageplayback of each area and the hot tags for the data analysis.Finally,wesummarize the work and Prospect of this paper.Key words:Scrapy;Pandas:BiliBili