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I ran into this error when attempting to open a.csv file with read_excel() instead of read_csv() So i was getting the same issue and when i went to troubleshoot i noticed that some of the incoming files contained a ~$ before the file name I found this handy snippet here to automatically select the correct method by excel file type.

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You'll learn how to correctly specify the excel engine, handle temporary files, and ensure you're using the appropriate function for your file type Data = pandas.read_table(rfilelocation/filename.xls) or data = pandas.read_html(filelocation/filename.xls) Pandas relies on external libraries, called engines, to read and write excel files

Different excel file formats require different engines:

Excel file format cannot be determined, you must specify an engine manually’ message suggests that the python library we are using to read excel files is unable to determine the file format automatically To resolve this issue, we need to specify the file format engine manually. This error occurs when pandas is unable to determine the file format of an excel file and needs the engine to be specified manually Excel file format cannot be determined, you must specify an engine manually.

When engine=none, the following logic will be used to determine the engine If path_or_buffer is an opendocument format (.odf,.ods,.odt), then odf will be used Otherwise if path_or_buffer is an xls format, xlrd will be used Otherwise if path_or_buffer is in xlsb format, pyxlsb will be used.

“openpyxl” supports newer excel file formats

“odf” supports opendocument file formats (.odf,.ods,.odt) “pyxlsb” supports binary excel files Find the answer to your question by asking See similar questions with these tags.

Excel file format cannot be determined, you must specify an engine manually any advice will be appreciated thanks >solution One of these options should work