我有一個(gè)如下所示的數(shù)據(jù)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(shù)千種獨(dú)特的產(chǎn)品和數(shù)億的售價(jià)。我如何有效地報(bào)告每種獨(dú)特產(chǎn)品的平均售價(jià)？Result = pd.DataFrame({'Product': ['Apple', 'Orange'], 'Average Selling Price': [1.2, 2.15]})挑戰(zhàn)在于數(shù)據(jù)存儲(chǔ)在數(shù)百個(gè)不同的 .csv 文件中（文件名存儲(chǔ)在列表中files），我無(wú)法同時(shí)將其加載到我的環(huán)境中。所以我會(huì)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！