Kamaldeep0077

class Student:  # student is the class 
    
    def __init__(self, fname, rollno, age):
        self.fname = fname    # object attributes
        self.rollno = rollno 
        self.age = age 
    
std1 = Student('Raman', 42, 14) # object of the class

Kamaldeep0077

class Student: 
    pass

Kamaldeep0077

data['pickup_year'] = data['pickup_datetime'].dt.year
data['pickup_dayofyear']  = data['pickup_datetime'].dt.day
data['pickup_monthofyear'] = data['pickup_datetime'].dt.month
data['pickup_hourofday'] = data['pickup_datetime'].dt.hour
data['pickup_dayofweek'] = data['pickup_datetime'].dt.dayofweek
data['pickup_weekofyear'] = data['pickup_datetime'].dt.weekofyear

Kamaldeep0077

data['Item_Outlet_Sales_Mean'] = data.groupby(['Item_Identifier', 'Item_Type'])['Item_Outlet_Sales']\
                                     .transform(lambda x: x.mean())

data[['Item_Identifier','Item_Type','Item_Outlet_Sales','Item_Outlet_Sales_Mean']].tail()

Kamaldeep0077

# Frequency encoding using value_counts function 
Item_Type_freq = data['Item_Type'].value_counts(normalize=True)

# Mapping the encoded values with original data 
data['Item_Type_freq'] = data['Item_Type'].apply(lambda x : Item_Type_freq[x])

print('The sum of Item_Type_freq variable:', sum(Item_Type_freq))
data[['Item_Type', 'Item_Type_freq']].head(6)

Kamaldeep0077

data['Item_Code'] = data['Item_Identifier'].apply(lambda x: x[0:2])
data[['Item_Identifier', 'Item_Code']].head()

Kamaldeep0077

# Count of each category 
pd.DataFrame(data['Item_MRP_Bin_cut'].value_counts())

Kamaldeep0077

#define bins 
bins = [0, 70, 140, 210, 280]

#name of groups
groups = ['Low', 'Med', 'High', 'Exp']

data['Item_MRP_Bin_cut'] = pd.cut(data['Item_MRP'], bins=bins, labels=groups)

data[['Item_MRP', 'Item_MRP_Bin_cut']].head()

Kamaldeep0077

# Count of each category 
pd.DataFrame(data['Item_MRP_Bin_qcut'].value_counts())

Kamaldeep0077

#name of groups
groups = ['Low', 'Med', 'High', 'Exp']

data['Item_MRP_Bin_qcut'] = pd.qcut(data['Item_MRP'], q=4, labels=groups)
data[['Item_MRP', 'Item_MRP_Bin_qcut']].head()