How to normalize a NumPy array to a unit vector?
To normalize a NumPy array to a unit vector, you can use the numpy.linalg.norm function to calculate the magnitude of the vector, and then divide the array by this magnitude.
To normalize a NumPy array to a unit vector, you can use the numpy.linalg.norm function to calculate the magnitude of the vector, and then divide the array by this magnitude. Here is an example code snippet:
use the numpy.linalg.norm function to calculate the magnitude of the vector
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This will output [0.26726124 0.53452248 0.80178373]