%0 Journal Article
%T 基于Python的天气信息可视化分析系统的设计与实现<br>Design and Implementation of Visualized Analysis System of Weather Information Based on Python
%A 于路遥
%A 宋瑾钰
%J Software Engineering and Applications
%P 1394-1403
%@ 2325-2278
%D 2022
%I Hans Publishing
%R 10.12677/SEA.2022.116143
%X 天气预测与分析与日常出行、农业生产、自然灾害预防等多个领域都息息相关，是现代社会日常运转不可或缺的一个部分。近年来随着网络数据规模的不断增大，网络爬虫应运而生，它可快速收集网络数据，为数据分析和信息可视化奠定了基础。本文设计的天气信息可视化系统，基于Python网络爬虫技术采集所需要的天气数据，通过数据分析和可视化技术，实现了对不同城市和不同时间的天气数据多角度、多维度的对比，同时对历史天气数据进行多类别图表展示，包括了天气现象占比图、风力风向占比图、空气质量分布图、最高最低温度变化图等，充分展现了Python在天气数据处理的应用及在可视化分析方面的优越性。<br />
Weather information prediction and analysis is closely related to daily travel, agricultural production, natural disaster prevention and other fields, and is an indispensable part of the daily operation of modern society. In recent years, as the scale of network data continues to increase, web crawlers emerge as the times require. They can quickly collect network data and lay a foundation for data analysis and information visualization. The weather information visualization system designed in this paper is based on Python web crawler technology to collect the weather data needed. Through data analysis and visualization technology, it realizes the comparison of weather data in different cities and at different times from multiple angles. At the same time, it displays historical weather data in multiple categories of charts, including the proportion of weather phenomena, the proportion of wind and direction, the distribution of air quality, the maximum and minimum temperature diagram, etc., which fully demonstrates the advantages of Python in weather data processing and visual analysis.
%K Python，网络爬虫，天气预报，数据可视化<br>Python
%K Web Crawlers
%K Weather Forecast
%K Data Visualization
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=59676