大学物理实验2024,Vol.37Issue(5) :97-102.DOI:10.14139/j.cnki.cn22-1228.2024.05.019

Matplotlib和Matlab在大学物理实验数据分析中的对比应用

Comparative Application of Matplotlib and Matlab in Data Analysis of College Physics Experiments

辛政阳 刘俊杰 路超 牛相宏
大学物理实验2024,Vol.37Issue(5) :97-102.DOI:10.14139/j.cnki.cn22-1228.2024.05.019

Matplotlib和Matlab在大学物理实验数据分析中的对比应用

Comparative Application of Matplotlib and Matlab in Data Analysis of College Physics Experiments

辛政阳 1刘俊杰 1路超 1牛相宏1
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作者信息

  • 1. 南京邮电大学 理学院,江苏 南京 210023
  • 折叠

摘要

在物理实验领域,对实验数据的精致且严格处理构成了实验研究的基石.尤其在对数据处理的精确性和作图质量有着极高要求的复杂物理实验中,借助专业的数据处理软件以执行数据解析、图像展现以及曲线拟合等任务显得尤为关键.首先,以弗兰克赫兹实验为案例,实现了运用Matplotlib与Matlab两款软件对实验数据进行直观且高效的可视化处理,发现在本实验中,Matlab软件做出的图像更加精细且代码更简单;其次,以铁磁材料的基本磁化曲线及其磁滞回线为例,进一步揭示了这两款软件在图像拟合方面的卓越性能,发现Matlab的拟合能力更强,可供选择的拟合方式更多;但Matlab更适用于简单绘制,Matplotlib适用于精细地控制.将Matplotlib与Matlab融入大学物理实验教学,不仅能够激发学生的创新意识,而且有助于培育其科学研究素养,更为他们未来投身科研工作奠定坚实的基础.

Abstract

In the field of physical experimentation,the meticulous and strict processing of experimental data forms the cornerstone of experimental research.Especially in complex physical experiments where the precision of data processing and the quality of plotting are paramount,it is particularly crucial to leverage professional data processing software to carry out tasks such as data analysis,visualization,and curve fitting.This study takes the Frank-Hertz experiment as a case study,implementing intuitive and efficient visualization of experimental data using both Matplotlib and MATLAB software.It was found that in this experiment,the images produced by MATLAB software were more detailed,and the code was simpler.Furthermore,using the basic magnetization curve and hysteresis loop of ferromagnetic materials as examples,the exceptional performance of these two software packages in image fitting was revealed.MATLAB was found to have a stronger fitting capability and a greater variety of fitting options available.Integrating Matplotlib and MATLAB into college physics experiment teaching can not only stimulate students'innovation awareness but also foster their scientific research literacy,and lay a solid foundation for their future engagement in scientific research.

关键词

Matplotlib/Matlab/大学物理实验/数据可视化处理/数据图像拟合

Key words

Matplotlib/Matlab/university physics experiments/data visualization processing/data fitting capability

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基金项目

中国博士后基金(2022M711691)

出版年

2024
大学物理实验
吉林化工学院

大学物理实验

影响因子:0.764
ISSN:1007-2934
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