python-scipyHow do I calculate the norm of a numpy array in Python?

The norm of a numpy array is the length of the array, which can be calculated using the numpy.linalg.norm() function.

import numpy as np

arr = np.array([1, 2, 3])

norm = np.linalg.norm(arr)

print(norm)

Output example

3.7416573867739413

The code above:

• import numpy as np: imports the numpy library into the script
• arr = np.array([1, 2, 3]): creates a numpy array from the list of numbers
• norm = np.linalg.norm(arr): calculates the norm of the numpy array
• print(norm): prints the result

Helpful links

• Numpy linalg.norm() documentation
• Calculating the Euclidean Norm of a Vector

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