我的目錄中有大約 200 個 CSV 文件，其中包含不同的列，但有些文件包含我想要提取的數(shù)據(jù)。我想要拉的一列稱為“程序”（行的順序不同，但名稱相同），另一列包含“建議”（并非所有措辭都相同，但它們都會包含該措辭）。最終，我想為每個 CSV 提取這些列下的所有行，并將它們附加到僅包含這兩列的數(shù)據(jù)框中。我曾嘗試先使用一個 CSV 執(zhí)行此操作，但無法使其工作。這是我嘗試過的：import pandas as pdfrom io import StringIOdf =  pd.read_csv("test.csv")dfout = pd.DataFrame(columns=['Programme', 'Recommends'])for file in [df]:    dfn = pd.read_csv(file)    matching = [s for s in dfn.columns if "would recommend" in s]    if matching:        dfn = dfn.rename(columns={matching[0]:'Recommends'})        dfout = pd.concat([dfout, dfn], join="inner")print(dfout)我收到以下錯誤消息，所以我認(rèn)為這是格式問題（它不喜歡 pandas df？）： ValueError(msg.format(_type=type(filepath_or_buffer))) ValueError: 無效的文件路徑或緩沖區(qū)對象類型： <類'pandas.core.frame.DataFrame'>當(dāng)我嘗試這個時：csv1 = StringIO("""Programme,"Overall, I am satisfied with the quality of the programme",I would recommend the company to a friend or colleague,Please comment on any positive aspects of your experience of this programmeNursing,4,4,IMAGENursing,1,3,very goodNursing,4,5,I enjoyed studying tis programme""")csv2 = StringIO("""Programme,I would recommend the company to a friend,The programme was well organised and running smoothly,It is clear how students' feedback on the programme has been acted onIT,4,2,4IT,5,5,5IT,5,4,5""")dfout = pd.DataFrame(columns=['Programme', 'Recommends'])for file in [csv1,csv2]:    dfn = pd.read_csv(file)    matching = [s for s in dfn.columns if "would recommend" in s]    if matching:        dfn = dfn.rename(columns={matching[0]:'Recommends'})        dfout = pd.concat([dfout, dfn], join="inner")print(dfout)這工作正常，但我需要讀取 CSV 文件。有任何想法嗎？上面示例的預(yù)期輸出：