现代信息科技2024，Vol.8Issue(16)：93-97,5.DOI:10.19850/j.cnki.2096-4706.2024.16.020
基于Python爬虫的豆瓣TOP250电影数据分析与可视化研究
Research on Douban TOP250 Movie Data Analysis and Visualization Based on Python Crawler
摘要
Abstract
With the development of internet technology,the traditional method of screening movies based solely on ranking data can no longer meet the needs of consumers.The Douban website TOP250 movie data crawler is implemented based on Python,calling Requests to download Web pages,realizing Web page parsing through Beautifulsoup,and using technologies such as PyeCharts for data visualization analysis.It presents the data in the form of charts to enable consumers to see the characteristics of popular movie data more clearly,providing reference for consumers to choose movies.The visualization analysis has found that there is no positive correlation between movie ratings and number of reviews.关键词
Python/爬虫/豆瓣/数据可视化Key words
Python/Web crawler/Douban/data visualization分类
信息技术与安全科学引用本文复制引用
王晨..基于Python爬虫的豆瓣TOP250电影数据分析与可视化研究[J].现代信息科技,2024,8(16):93-97,5.
