How to normalize an array in NumPy?

I would like to have the norm of one NumPy array. More specifically, I am looking for an equivalent version of this function

def normalize(v): 

norm = np.linalg.norm(v) 

if norm == 0: 

return v 

return v / norm

Is there something like that in sklearn or NumPy?

This function works in a situation where v is the 0 vector.

The normalization of data is important for the fast and smooth training of our machine learning models. Scikit learns, a library of python has sklearn.preprocessing.normalize, which helps to normalize the data easily.