fe10.py

train["Product_Cat1_MaxPrice"] = train.groupby(['Product_Category_1'])['Purchase'].transform('max')
pc1_max_dict = train.groupby(['Product_Category_1'])['Purchase'].max().to_dict()
test['Product_Cat1_MaxPrice'] = test['Product_Category_1'].apply(lambda x:pc1_max_dict.get(x,0))
 
train["Product_Cat1_MeanPrice"] = train.groupby(['Product_Category_1'])['Purchase'].transform('mean')
pc1_mean_dict = train.groupby(['Product_Category_1'])['Purchase'].mean().to_dict()
test['Product_Cat1_MeanPrice'] = test['Product_Category_1'].apply(lambda x:pc1_mean_dict.get(x,0))

train["Age_Count"] = train.groupby(['Age'])['Age'].transform('count')
age_count_dict = train.groupby(['Age']).size().to_dict()
test['Age_Count'] = test['Age'].apply(lambda x:age_count_dict.get(x,0))
 
train["Occupation_Count"] = train.groupby(['Occupation'])['Occupation'].transform('count')
occupation_count_dict = train.groupby(['Occupation']).size().to_dict()
test['Occupation_Count'] = test['Occupation'].apply(lambda x:occupation_count_dict.get(x,0))

train["Product_Category_1_Count"] = train.groupby(['Product_Category_1'])['Product_Category_1'].transform('count')
pc1_count_dict = train.groupby(['Product_Category_1']).size().to_dict()
test['Product_Category_1_Count'] = test['Product_Category_1'].apply(lambda x:pc1_count_dict.get(x,0))
 
train["Product_Category_2_Count"] = train.groupby(['Product_Category_2'])['Product_Category_2'].transform('count')
pc2_count_dict = train.groupby(['Product_Category_2']).size().to_dict()
test['Product_Category_2_Count'] = test['Product_Category_2'].apply(lambda x:pc2_count_dict.get(x,0))
 
train["Product_Category_3_Count"] = train.groupby(['Product_Category_3'])['Product_Category_3'].transform('count')
pc3_count_dict = train.groupby(['Product_Category_3']).size().to_dict()
test['Product_Category_3_Count'] = test['Product_Category_3'].apply(lambda x:pc3_count_dict.get(x,0))
 
train["User_ID_Count"] = train.groupby(['User_ID'])['User_ID'].transform('count')
userID_count_dict = train.groupby(['User_ID']).size().to_dict()
test['User_ID_Count'] = test['User_ID'].apply(lambda x:userID_count_dict.get(x,0))
 
train["Product_ID_Count"] = train.groupby(['Product_ID'])['Product_ID'].transform('count')
productID_count_dict = train.groupby(['Product_ID']).size().to_dict()
test['Product_ID_Count'] = test['Product_ID'].apply(lambda x:productID_count_dict.get(x,0))