高频电子线路实验数据的Python处理分析

Experimental data processing and analysis of high frequency electronic circuit by Python

Python语言语句简洁、库类丰富、代码开源、可移植性好,在数据分析与处理等方面有广泛应用。变容二极管直接调频实验是高频电子线路实验部分的必做项目之一,其实验数据量不大,但内容相对抽象。相对于手工处理数据,基于Python对测量数据进行分析和处理,不但可以得到振荡频率与外加电压的拟合曲线视图,而且易于与理论值进行比较,验证测试数据的可靠性。因此,在高频电子线路实验中引入Python语言进行数据处理,简洁灵活、显示直观,不但使学生能快速处理实验数据,也有助于实验教师评判实验报告,提高工作效率。

Python language has wide application in data analysis and processing because of concise statements, rich classes, open source code, etc. The varactor diode frequency modulation experiment is one of necessary projects of high frequency electronic circuit. The experimental data is not large, but test content is relatively abstract.Measured data is analyzed based on Python, fitting curve of frequency relative to reverse bias voltage is output,and it is easy to compare with theory. So, Python language is introduced for data processing in experiment of high frequency electronic circuit. Students can quickly process data, draw fitting curve and analyze data. It is vivid and intuitive, and it has a certain auxiliary for teachers to judge the quality of the experimental report.