摘要
为了更好地对热门电影进行分析,使人们更直观地了解影片分类趋势分布,利用Python网络爬虫技术,通过爬取豆瓣网TOP250电影的相关数据,然后经过清洗,最后使用Python可视化库对数据进行可视化分析。结果表明,剧情类型电影最受观众喜爱,同时也发现评分与评价人数存在正相关关系。通过电影数据的可视化分析,可帮助用户在选择电影观看时进行决策,同时也可为制片商提供调整营销策略,而且电影数据的整个可视化分析过程也充分展现了Python在电影数据处理的具体应用及在可视化分析的出色表现,在编程和简洁程度方面都有着显著的优势,具有较好的应用前景和发展潜力。
In order to better analyze popular movies and enable people to have a more intuitive understanding of the trend distribution of movie classification,this article uses Python web crawler technology to crawl relevant data of the top 250 movies on Douban website,clean them,and finally use Python visualization library to perform visual analysis on the data.The results indicate that plot type movies are the most popular among audiences,and a positive correlation was also found between ratings and the number of reviewers.Through visual analysis of movie data,users can make decisions when choosing to watch movies,and it can also provide producers with the opportunity to adjust marketing strategies.The entire visual analysis process of movie data fully demonstrates the specific application of Python in movie data processing and its outstanding performance in visual analysis.It has significant advantages in programming and simplicity,and has good application prospects and development potential.
作者
王纪才
徐启南
袁霄翔
WANG Jicai;XU Qinan;YUAN Xiaoxiang(School of Network Engineering,Zhoukou Normal University,Zhoukou 466001,China)
出处
《周口师范学院学报》
CAS
2023年第5期60-65,共6页
Journal of Zhoukou Normal University
基金
周口市科技攻关计划资助项目“社群化制造服务匹配的计算实验评估方法研究”(2022GG02001)。
