Python技术在《中国植物志》数据筛查中的应用研究
Research on the Application of Python Technology in Data Filtering of Flora of China
杨淑平 1张德顺2
作者信息
- 1. 上海电子信息职业技术学院,上海 201411
- 2. 同济大学建筑与城市规划学院,上海 200092
- 折叠
摘要
《中国植物志》收录了 4 万余种维管植物,是植物学工作者经常查找资料的工具书.文章主要研究Python在《中国植物志》网站数据处理中的应用.首先,分析了根据植物特性进行植物分类整理工作的烦琐、重复性高、易程序化等问题;其次,研究了Python的数据处理功能;最后,借助信息技术手段对所需查找的学术数据进行输入、读取、筛选、显示,并阐述了Python程序对上海植物名录中树木进行数据处理的实际应用.通过爬虫技术进行信息筛选,为植物资料查找提供了一个准确而快速的方法.
Abstract
The Flora of China includes over 40 000 taxa of vascular plants and serves as a reference tool frequently used by botany workers.This paper primarily investigates the application of Python in data processing on the Flora of China website.Firstly,this paper analyzes the problems that the plant classification and sorting work according to their characteristics is cumbersome,highly repetitive and easy to be programmed.Then,it investigates the data processing function of Python.Finally,it uses information technology means to input,read,screen and display the academic data that needs to be searched,and elaborates on the practical application of Python program in data processing from the catalog of trees in Shanghai.An accurate and fast method for plant data search which screens information by crawler technology is provided.
关键词
中国植物志/Python/植物特性/数据处理Key words
Flora of China/Python/plant trait/data processing引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据