Visual Analysis of Weather Data in Tai'an City Based on Python Crawler
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.
NETL
NSTL
万方数据
