import pandas as pd
import numpy as np
import scipy.stats

df = pd.DataFrame(data=[
    [1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9],
    [2.1,2.2,2.3,2.4,2.5,2.6,2.7,2.8,2.9],
])

def compare_and_print(index, row):
    A = row[:5]
    B = row[5:]
    print(index, ":\t", np.mean(A), "+/-", round(np.std(A),2), " vs ", np.mean(B), "+/-",round(np.std(B),2))
    print(scipy.stats.mannwhitneyu(A, B))

for index, row in df.iterrows():
    compare_and_print(index, row)