基于Python的PN结物理特性实验数据处理方法

Data Processing Method of P-N Junction Physical Property Experiment Based on Python Language

半导体PN结物理特性实验中的数据计算量大,如果使用普通计算器计算,不仅繁琐费时而且易引入误差.通过Python语言调用Numpy模块可实现对实验数据的多项式拟合,再通过Matplotlib模块可实现可视化绘图.结果表明,该方法能快速、准确处理实验数据,给出电流电压关系拟合曲线,对PN结实验数据的分析和处理有很好的辅助作用.

The amount of data calculation in the physical characteristics experiment of semiconductor PN junction is large.It is not only cumbersome and time-consuming,but also easy to introduce errors if the ordinary calculator is used.The polynomial fitting of experimental data can be realized by calling Numpy module in Python language,and visual drawing can be realized by matplotlib module.The results show that this method can process the experimental data quickly and accurately,and give the fitting curve of current-voltage relationship,which has a good auxiliary effect on the analysis and processing of PN junction experimental data.