大数据环境下北京冬奥、杭州亚运历史同期气候可视化设计——以数据抓取部分为例

Visualization design of climate for Beijing Winter Olympics and Hangzhou Asian Games in the context of big data: taking data capture part as an example

文章设计的系统主要针对北京冬奥会和杭州亚运会的举办,从赛事需求角度出发,采集和分析天气和空气质量等历史数据,以Python为工具,使用环境云网站提供的服务,针对赛事举办地北京和杭州以及其周边等13个城市的历史同期气候等信息做数据采集,以参照城市气象数据作为基点,通过Matplotlib库实现数据可视化。针对环境大数据开放平台给提供的包含指定日期历史天气和城市指定日期空气质量,利用网站所提供的accessid和Python Requests代码,进行历史数据采集,以期为两个赛事举办期间的气象服务提供相关参考。

This system mainly aims at the hosting of Beijing Winter Olympics and Hangzhou Asian Games in this pa-per. From the point of view of competition demand, it collects and analyses historical data such as weather and air quali-ty. With Python as a tool, it uses the services provided by the environmental cloud website to collect data about the his-torical climate of 13 cities such as Beijing, Hangzhou and their surrounding areas. With reference to urban meteorologi-cal data as the base point, data visualization is realized through Matplotlib database. The historical data collection iscarried out with the accessid and Python Requests code provided by the site with a view to providing relevant referenc-es for meteorological services during the two events, given the environment-wide open platform that contains the speci-fied date-history weather and the city-specific date air quality.