From the holistic view of traditional Chinese medicine(TCM)，this study carried out a correlation analysis between the Raman spectra of TCM drugs and cold-heat medicinal properties and conducted a statistical discrimination analysis of the cold-heat medicinal properties of TCM drugs.A total of 237 TCM drugs were selected，including 109 cold and 128 heat ones.After sample pre-treatment，Raman spectra of TCM drugs were obtained by using SEED 3000 near-infrared Raman spectrometer(Oceanhood，China)，and the characteristic Raman shifts and peak intensities closely related to the cold-heat medicinal properties were screened out by the characteristics screening and statistical test of the quantified Raman data of TCM drugs.The discriminant modeling of cold-heat medicinal properties was carried out based on five algorithms.Compared with other models，the random forest(RF) model showed the optimal results，with the correct rate of the test set higher than 90% and an AUC and precision greater than 0.90.Based on the analysis of a large sample size of TCM drugs，the findings of this study suggest that there is a significant correlation between the Raman data of TCM drugs and their cold-heat medicinal properties，which can be used as the characterization index of medicinal properties and facilitate the discriminant analysis of cold-heat medicinal properties combined with RF algorithm.