numpy normalize

To normalize an array using NumPy, you can use the `numpy.linalg.norm` function. Here's an example:

import numpy as np

# Create a sample array
arr = np.array([1, 2, 3, 4, 5])

# Calculate the norm of the array
norm = np.linalg.norm(arr)

# Normalize the array
normalized_arr = arr / norm

print(normalized_arr)

In this example, we first create an array `arr`. Then, we calculate the norm of the array using `np.linalg.norm(arr)`. Finally, we divide each element of the array by the norm to normalize it. The resulting normalized array is stored in `normalized_arr` and printed out.