基于python语言的土壤改良实验数据分析系统的设计与实现  

Design and Implementation of Soil Improvement Experimental Data Analysis System Based on Python Language

作　　者：程飞[1] 邓梓芃 王佳楠[1] 徐泽 CHENG Fei;DENG Zipeng;WANG Jianan;XU Ze(Nankai University,Binhai College,Tianjin 300270,China;Tianjin Ren'ai University,Tianjin 301636,China)

机构地区：[1]南开大学滨海学院,天津300270 [2]天津仁爱学院,天津301636

出　　处：《信息与电脑》2023年第24期25-27,共3页Information & Computer

基　　金：2021年天津市教委科研计划项目“利用虫草发酵液改良滨海盐碱土”(项目编号:2021KJ097)。

摘　　要：系统利用Excel数据准备平台和Python编程语言成功开发了一套处理改良盐碱土实验数据的工具,它能够高效处理大量实验数据,实现数据自动化处理与标准化处理,为土壤改良实验数据处理和异常提取提供了可靠的技术支持。这种全新方法的成功应用为土壤改良实验数据处理领域带来了新的前景,有望提升工作效率并提高数据处理的准确性。This system,which utilized the Excel data preparation platform and the Python programming language,has successfully developed a tool for handling improved saline-alkali soil experimental data.It can efficiently large volumes of experimental data and achieves automated and rapid standardized data management.It provides reliable technical support for processing and anomaly extraction in land improvement experiment data.The successful application of this new method presents great prospects for the field of land improvement experiment data processing,promising increased work efficiency and improved accuracy in data processing.

关 键 词：土壤改良 实验数据 Python编程语言 数据分析系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]