import sklearn.preprocessing as preprocessing
input_data=([2,-1,5.5],
            [3.1,4.2,5.8],
            [1.3,5.7,3.8])
#Normalize the data
normalize=preprocessing.normalize(input_data,norm='l2')
print(normalize)

dc070379884c1871ef7197ad93644df7bf96c464
<mask token>

<mask token>
print(normalize)

<mask token>
input_data = [2, -1, 5.5], [3.1, 4.2, 5.8], [1.3, 5.7, 3.8]
normalize = preprocessing.normalize(input_data, norm='l2')
print(normalize)

import sklearn.preprocessing as preprocessing
input_data = [2, -1, 5.5], [3.1, 4.2, 5.8], [1.3, 5.7, 3.8]
normalize = preprocessing.normalize(input_data, norm='l2')
print(normalize)

import sklearn.preprocessing as preprocessing
input_data=([2,-1,5.5],
            [3.1,4.2,5.8],
            [1.3,5.7,3.8])
#Normalize the data
normalize=preprocessing.normalize(input_data,norm='l2')
print(normalize)
