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Read an excel file into a pandas dataframe Excel file format cannot be determined, you must specify an engine manually. Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or url
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Supports an option to read a single sheet or a list of sheets However, now i have the following problem (i already tried setting engine='xlrd') I am trying to read an xls file from a url
Change the default engine in pandas for those with existing code bases that might be affected by the upgrade, you can set openpyxl as the default engine for read_excel().
Xlrd has explicitly removed support for anything other than xls files This is due to potential security vulnerabilities relating to the use of xlrd version 1.2 or earlier for reading.xlsx files. Solution the xlrd library only supports.xls files, not.xlsx files In order to make pandas able to read.xlsx files, install openpyxl:
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. I am writing some automated scripts to process excel files in python, some are in xls format
Here's a code snippet of my attempting to do so with pandas
3.0.6 i do not want to change my xlrd version back to 1.2.0, from other answer i see that new version of xlrd support only.xls, but i don't understand why it is not working for my file @willayd should we start with adding openpyxl as an engine in pandas.read_excel Happy to contribute a pr for it. There can be many different reasons that cause this error, but you should try add engine='xlrd' or other possible values (mostly openpyxl)
It may solve your issue, as it depends more on the excel file rather then your code Also, try to add full path to the file instead of relative one. 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.
