import numpy as np
import pandas as pd
from scipy.spatial import distance

cities = pd.read_csv('PersonsData.csv')

a = np.array(cities[0:1].copy())
b = np.array(cities[1:2].copy())
print(distance.euclidean(a, b))
for i in range(9):
    std = cities.iloc[:, i].std()

    cities.iloc[0, i] = cities.iloc[0, i] / std
    cities.iloc[1, i] = cities.iloc[1, i] / std
a_new = np.array(cities[0:1].copy())
b_new = np.array(cities[1:2].copy())

print(distance.euclidean(a_new, b_new))