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

np.random.seed(0)

groups = 10
n = 50
data = pd.DataFrame()
for i in range(groups):
    name = 'var' + str(i)
    data[name] = np.random.randn(n)

for v1 in data:
    for v2 in data:
        if v1 <= v2:
            continue
        
        ttest = stats.ttest_ind(data[v1], data[v2])
        if ttest.pvalue < 0.05:
            print('%s and %s are significantly different.' % (v1, v2))