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.

Cet exercice fait partie du cours

Anomaly Detection in Python

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Instructions

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

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# 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)

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