我有一個如下所示的數據框：import pandas as pdZ = pd.DataFrame({'Product': ['Apple', 'Apple', 'Apple', 'Orange', 'Orange], 'Selling Price': [1.1, 1.2, 1.3, 2.1, 2.2]})有數千種獨特的產品和數億的售價。我如何有效地報告每種獨特產品的平均售價？Result = pd.DataFrame({'Product': ['Apple', 'Orange'], 'Average Selling Price': [1.2, 2.15]})挑戰在于數據存儲在數百個不同的 .csv 文件中（文件名存儲在列表中files），我無法同時將其加載到我的環境中。所以我會做類似的事情for i in files:     X = pd.read_csv(i)     # add unique products to the data frame Z     # add the sum of their selling prices to Z     # add the number of times the product was sold# for each unique product, divide the sum of selling prices by the number of times that product was sold感謝您的任何幫助，您可以提供！