Finding the euclidean distance with SciPy

Instead of writing multiple lines of code to calculate the euclidean distance, you can use SciPy. The library not only contains the euclidean function, but more than 40 other distance metrics—all a single import statement away.

Bu egzersiz

Anomaly Detection in Python

kursunun bir parçasıdır

Kursu Görüntüle

Egzersiz talimatları

Import the euclidean function from the relevant scipy module.
Use the euclidean() function on M and N.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Import the euclidean function from scipy
from scipy.____.____ import euclidean

M = np.array([14, 17, 18, 20, 14, 12, 19, 13, 17, 20])
N = np.array([63, 74, 76, 72, 64, 75, 75, 61, 50, 53])

# Use the euclidean function on M and N
dist_MN = ____

print(dist_MN)

Kodu Düzenle ve Çalıştır