ＲLC series resonant is one of circuit experiments，in order to strengthen the understanding of impedance，current and voltage resonance characteristics．Python language has wide application in data analysis and processing because of concise statements，rich library classes，open source code and etc．Some measurement data of ＲLC series resonance are analyzed．Firstly，data are preprocessed by numpy library of Python．Secondly，linear regression model is established based on scikit-learn，and data are fitted and solved through data training and machine learning． In order to measure data quality，the mean square error regression loss is analyzed through sklearn． Finally，using matplotlib to achieve data visualization． Python language is introduced for experiment data processing．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．