normalization in python code example

Example 1: normalize data python

>>> from sklearn import preprocessing
>>>
>>> data = [100, 10, 2, 32, 31, 949]
>>>
>>> preprocessing.normalize([data])
array([[0.10467389, 0.01046739, 0.00209348, 0.03349564, 0.03244891,0.99335519]])

Example 2: data normalization python

from sklearn import preprocessing
normalizer = preprocessing.Normalizer().fit(X_train)  
X_train = normalizer.transform(X_train)
X_test = normalizer.transform(X_test)

Example 3: count_values in python

idx.value_counts()

Example 4: inheritence in python

# =============================================================================
# Inhertance
# =============================================================================
class A:
    def feature1(self):
        print('Feature 1 in process...')
    def feature2(self):
        print('Feature 2 in process...')       #Pt.1
        
class B:
    def feature3(self):
        print('Feature 3 in process...')
    def feature4(self):
        print ('Feature 4 in process...')
        
a1 = A() 

a1.feature1()
a1.feature2()

a2 = B()

a2.feature3()
a2.feature4()
# THE ABOVE PROGRAM IS A PROGRAM WITHOUT USING INHERITANCE
        
# WITH THE USE OF INHERITANCE IS BELOW
class A:
    def feature1(self):
        print('Feature 1 in process...')    
    def feature2(self):
        print('Feature 2 in process...')
        
class B(A):
    def feature3(self):
        print('Feature 3 in process...')    # Pt.2
    def feature4(self):
        print ('Feature 4 in process...')
        
a1 = A() 

a1.feature1()
a1.feature2()

a2 = B()

a2.feature3()
a2.feature4()