import scipy.stats as st # A = [0.4268, # 0.2847, # 0.1593, # 0.4842, # 0.3472, # 0.1608, # 0.3755, # 0.5823, # 0.6279, # 0.7582, # 0.3577, # 0.3146, # 0.6209, # 0.7693, # 0.7961, # 0.8744, # 0.5683, # 0.5293 # ] # # B = [0.4189, # 0.2876, # 0.1849, # 0.482, # 0.343, # 0.1552, # 0.3624, # 0.5761, # 0.6276, # 0.758, # 0.3519, # 0.3074, # 0.5925, # 0.7611, # 0.7987, # 0.8757, # 0.5563, # 0.5139 # ] A=[0.5368, 0.4123, 0.1967, 0.6385, 0.4074, 0.2168, 0.4442, 0.8514, 0.8972, 1.4072, 0.4029, 0.3443, 0.9706, 1.8192, 1.887, 2.9375, 0.8605, 0.744 ] B= [0.521, 0.4113, 0.2111, 0.6273, 0.3993, 0.1906, 0.4201, 0.8113, 0.8549, 1.343, 0.3919, 0.3331, 0.9089, 1.7043, 1.7678, 2.7712, 0.8148, 0.6978 ] print(st.wilcoxon(A,B))
输出结果:
WilcoxonResult(statistic=6.0, pvalue=0.0005348563282113272)