Yоu аre given twо dаtа structures: histоrical_sales: A pandas Series containing the historical average sale price for various products. The product name is the index, and the average price is the value. df: A DataFrame that contains the current items for sale, with multiple entries for the same product from different sellers. Your task is to: Identify and return all the current items where the current price is less than the historical average price. These are considered "good value" items. Here is the pandas dataframe (df) product seller current_price0 Laptop Seller1 9501 Laptop Seller2 10502 Headphones Seller3 1803 Smartphone Seller4 8504 Smartphone Seller5 7505 Tablet Seller6 4106 Tablet Seller7 390 Here is the pandas series (historical_sales)Laptop 1000Headphones 200Smartphone 800Tablet 400 Here is the expected output: product seller current_price good_deal0 Laptop Seller1 950 True2 Headphones Seller3 180 True4 Smartphone Seller5 750 True6 Tablet Seller7 390 True