基于 Python 的“哔哩哔哩视频网”视频热度分析 Analysis of the video heat of "BiliBili video network" based on Python摘 要在 21 世纪的今天，网络发展越来越快，网上的娱乐方式也越来越多样化，而如今在网上观看视频消遣时间越来越受到大众的青睐。Bilibili视频网站是现当下年轻人最受欢迎的一个视频网站。有调查显示，直到2019 年的 10 月份，Bilibili 视频网站的用户在总体网络视频用户占比高达 90%。它与其他的视频网站用户相比较，其用户忠实度更高，据其招募报告称，其成员的 12 个月保留率达 79％，而 2009 年注册的用户中60％的今天仍然活跃。Bilibili 是目前国内最受欢迎的综合用户网站，分析其视频热度可以从侧面分析 15-45 岁群体的爱好，有着重要研究意义。本论文为基于 Python 的“哔哩哔哩视频网”视频热度分析。首先讲解本文使用的相关技术，包括 Scrapy 框架，Pandas 库和 pyecharts库。然后根据页面分析使用基于 Scrapy 的方法对哔哩哔哩视频网数据抓取，并展示了部分数据结果，还对数据进行了预处理，接着为数据分析分别对分区占比、平均播放量、平均三连情况、各区平均播放和热门标签进行可视化，最后总结本论文所做的工作以及展望。关键词：Scrapy；Pandas；哔哩哔哩视频网AbstractIn the 21st century, the development of the Internet is faster and faster, the online entertainment is more and more diversified, and now watching videos on the Internet for leisure time is more and more popular.Bilibili is one of the most popular video websites for young people today.As of October 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-old group from the side, which has important research significan...
