Data Collection and Visual Analysis of new power system hot words based on Python

In order to explore the problem of knowledge tracking in the field of new power system, this paper conducts data collection and visual analysis of hot words of new power system through Python programming. Based on the domestic literature database, this paper obtains the relevant literature of the new power system from 2021 to 2024, constructs a data set, and divides the word frequency according to high frequency, middle frequency and low frequency. According to the preprocessed hot word set, the word cloud map and the total word cloud map of the four years from 2021 to 2024 are generated according to the size of the word frequency. The word cloud map intuitively shows the research hotspots and the overall development trend of each year. Through the use of word cloud map, visual analysis of hot words, and analysis of research hotspots and development trends in the field of new power systems, it can deal with the complexity and dynamic changes of knowledge in the field of new power systems more efficiently.