/Python/Calculate Euclidean Distance in Python using norm()

Calculate Euclidean Distance in Python using norm()

# Python code to find Euclidean distance
# using linalg.norm()

# Import NumPy Library
import numpy as np

# initializing points in
# numpy arrays
point1 = np.array((4, 4, 2))
point2 = np.array((1, 2, 1))

# calculate Euclidean distance
# using linalg.norm() method
dist = np.linalg.norm(point1 - point2)

# printing Euclidean distance
print(dist)

Source: itsmycode.com

Similar codes

-1 vote260 views1 answer
Multiple assignment python
Python
0 vote270 views1 answer
Long press selenium python
Python
0 vote255 views1 answer
Gpt2 simple continue training from checkpoint
Python
0 vote255 views1 answer
Visualizzare csv in pycharm pandas read_csv
Python
97 votes251 views6 answers
How to read a csv file in python
Python
1 vote277 views1 answer
Print(\'Test set predictions:\\n{}\'.format(y_pred))
Python
1 vote245 views1 answer
Django boilerplate command
Python
25 votes281 views10 answers
Github
Python
0 vote269 views1 answer
Python code to fetch all the files with txt extension from a folder
Python
1 vote328 views1 answer
Python f string round
Python