/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

0 vote370 views1 answer
Resource punkt not found. Please use the NLTK Downloader to obtain the resource:
Python
12 votes316 views1 answer
Python chromedriver headless selenium
Python
0 vote319 views1 answer
Pythagorean theorem calc: find c, a=n
Python
1 vote340 views1 answer
ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float).
Python
14 votes331 views1 answer
Pd.to_datetime python
Python
1 vote324 views1 answer
Pandas merge dataframes from a list
Python
3 votes305 views2 answers
Python 3 numbers of a range is even
Python
0 vote318 views1 answer
Nested list flask
Python
1 vote357 views1 answer
Run celery on windows
Python
0 vote317 views4 answers
Regression model build
Python