Research on Python Crawling Algorithm in Model Data Visualization

Zhifang Lu
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引用次数: 0

Abstract

With the development of information technology, the field of information visualization has attracted more and more attention. How to enable users to quickly get valuable information from a large number of abstract text data files is one of the problems to be solved by information visualization technology. Python crawling algorithm is a data visualization tool. It uses Python to crawl the web, and then generates various visualizations of crawling data. It is used to track the changes of the website over time or monitor the number of times the website is viewed. The crawler can be customized with different parameters, such as the maximum number of pages to be crawled per day, the maximum number of URLs to be crawled per hour, etc. The output can be saved as an image file or a PDF report, and can be exported to other languages using the panda library.
模型数据可视化中的Python爬行算法研究
随着信息技术的发展,信息可视化领域越来越受到人们的关注。如何使用户能够从大量的抽象文本数据文件中快速获取有价值的信息,是信息可视化技术需要解决的问题之一。Python爬行算法是一个数据可视化工具。它使用Python来抓取web,然后生成抓取数据的各种可视化。它用于跟踪网站随时间的变化或监控网站被浏览的次数。可以使用不同的参数自定义爬虫,例如每天要抓取的最大页面数、每小时要抓取的最大url数等。输出可以保存为图像文件或PDF报告,并且可以使用panda库导出为其他语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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