Accurate and rigorous processing of experimental data is a crucial part of physical experiments．For more complex physics experiments with high drawing accuracy requirements，the visualization of experimental results has played an important role in the practice of modern “University Physics Experiments”course by using software to effectively process experimental data and realize the visualization of experimental results． Taking common experiments as an example，it describes how to use Python language to quickly process experimental data and visualize images． Although the Python language is widely used，it is rarely used in physics experiments．It not only highlights basic applications such as python language-based data processing， image visualization，and fitting，but also provides the original codes．