import pandas as pd
import numpy as np
import pprint as pp
from scipy.stats import kstest

results_dic = {}

features = np.loadtxt('inne.txt', dtype=float, delimiter="	")
df = pd.DataFrame(features)
#print(df)
#print(df.shape)

class1 = np.loadtxt('klasa.txt', dtype=float)
#class_df = pd.DataFrame(class1)
#print(class1)

for feature, values in df.iteritems():
    result = kstest(feature, class1)
    results_dic[feature] = result

ranking = sorted([(feature, result) for feature, result in results_dic.items()], key = lambda z: z[1][0], reverse = True)
pp.pprint(ranking)