基于Python爬虫的泰安市天气数据可视化分析

Visual Analysis of Weather Data in Tai'an City Based on Python Crawler

天气深刻影响着人们的生产生活,随着全媒体时代的到来,人们能从多种渠道接收各类天气数据。比起抽象的数据,生动的图像更能清晰有效地传达天气信息和呈现规律。文章利用Python爬虫技术获取了2022年泰安市历史天气数据,利用PyEcharts可视化工具对全年每月天气现象分布、全年最高和最低气温变化情况、全年风向分布进行直观的可视化展示。Python数据爬取+PyEcharts可视化方法简单高效,可为挖掘、整合不同类型的天气数据进行可视化展示提供参考方案,探索气象数据信息多元化表达途径,提高气象服务水平。

Weather has affected people's production and life deeply.With the advent of the entire media era,people can receive various weather data from various channels.Compared with abstract data,vivid images can clearly and effectively convey weather information and present laws.This paper uses Python crawler technology to obtain historical weather data in Tai'an City in 2022,and uses PyEcharts visual tool to visually display the distribution of monthly weather phenomena,the variation of maximum and minimum temperature and the distribution of wind direction throughout the year.Python data crawling+PyEcharts visualization method is simple and efficient,which can provide reference solutions for further excavation and integration of different types of weather data for visual display,explore diversified expression of meteorological data,and improve the level of meteorological services.