Analysis and Visualization of Novel Coronavirus Pneumonia Based on Python

Objective To study the rule of Chinese medicine prescription According to the prescription novel coronavirus pneumonia; to provide reference for the treatment of epidemic diseases. Methods Through crawling 227 prescriptions of Xinguan TCM collected by Huabing data website intelligent TCM big data platform, we analyzed the web page data by using word cloud analysis, data visualization and the third-party library lxml and request of Python. Results High frequency of drug use of traditional Chinese medicine are: Huoxiang, Atractylodes, Platycodon, honeysuckle, astragalus, Scutellaria, Atractylodes macrocephala, etc. The analysis of clinical symptoms showed that the most common symptoms were fatigue, fever, white fur, cough, chest tightness, diarrhea and so on. Hebei, Sichuan, Heilongjiang, Gansu and other provinces provide more. Conclusion The novel coronavirus pneumonia and almond novel coronavirus pneumonia treatment are better. The results showed that the effective prescriptions and fever, fatigue and other common clinical manifestations, as well as the provinces with higher prescriptions, have important reference significance for the follow-up development of the new crown pneumonia.