（计算机毕设选题推荐）基于Python的图书数据爬取及可视化研究

原创已于 2024-11-13 19:20:45 修改 · 993 阅读

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#python #信息可视化 #开发语言

于 2024-10-26 11:53:46 首次发布

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摘要

本文研究了基于Python的图书数据爬取与可视化技术，旨在通过自动化手段从在线图书销售平台或图书馆网站中抓取图书信息，并利用数据可视化技术将这些信息以直观的方式呈现出来。研究首先介绍了Python在网络爬虫领域的应用现状，包括常用的库（如requests、BeautifulSoup、Scrapy等）及其工作原理。随后，详细阐述了图书数据爬取的过程，包括目标网站的选择、数据抓取策略的制定、反爬虫机制的应对以及数据清洗与预处理。在数据可视化部分，探讨了使用Matplotlib、Seaborn、Plotly等Python库进行数据可视化的方法，并通过实际案例展示了图书销量趋势、用户评价分布、图书类别分布等可视化效果。最后，总结了研究成果，并展望了未来研究方向。

关键字：Python；网络爬虫；图书数据；数据可视化；Scrapy；Matplotlib

Abstract

This paper investigates the techniques of book data scraping and visualization based on Python. The goal is to automatically extract book information from online book sales platforms or library websites and present this information in an intuitive manner through data visualization. The study first introduces the current application of Python in web crawling, including commonly used libraries (such as requests, BeautifulSoup, Scrapy) and their working principles. Subsequently, the process of book data scraping is elaborated, including the selection of target websites, the formulation of data scraping strategies, the handling of anti-crawling mechanisms, and data cleaning and preprocessing. In the data visualization section, methods for data visualization using Python libraries such as Matplotlib, Seaborn, and Plotly are discussed, and visual effects such as book sales trends, user evaluation distributions, and book category distributions are demonstrated through practical cases. Finally, the research findings are summarized, and future research directions are prospected.

Keywords: Python; Web Crawling; Book Data; Data Visualization; Scrapy; Matplotlib