WebAug 16, 2024 · The only related thing is this one: Passing any arguments but the first two to read_excel() as positional arguments is deprecated. All other arguments should be given as keyword arguments (GH27573). When I click it, it is not even related to read_excel. So I conclude that something IS wrong (maybe the documentation). WebJan 20, 2024 · If pd.read_csv() is first in the try/except block and I upload a .csv file it works. If I attempt to upload a .xlsx file, I get this error: TypeError: expected str, bytes or os.PathLike object, not NoneType If pd.read_excel() is first in the try/except block and I upload an .xlsx file it works. If I attempt to upload a .csv file, I get this error:
csv — CSV File Reading and Writing — Python 3.11.3 documentation
WebNov 9, 2024 · TypeError: expected string or bytes-like object This error typically occurs when you attempt to use the re.sub () function to replace certain patterns in an object but the object you’re working with is not composed entirely of strings. The following example shows how to fix this error in practice. How to Reproduce the Error WebAug 3, 2024 · I can't load the xlsx file. import pandas y=pandas.read_excel ("as.xlsx",sheetname=0) y. This is the error message. TypeError Traceback (most recent … maxwell covers
pandas.ExcelFile.parse — pandas 2.0.0 documentation
WebAug 1, 2024 · If you are running a Jupyter Notebook, be sure to restart the notebook to load the updated pandas version! Choice 2: Explicitly set the engine in pd.read_excel () Add engine='openpyxl' to your pd.read_excel () command, for example: fix-pandas-pd-read_excel-error-xlrderror-excel-xlsx-file-not-supported.txt 📋 Copy to clipboard ⇓ Download Web1 day ago · Module Contents¶. The csv module defines the following functions:. csv. reader (csvfile, dialect = 'excel', ** fmtparams) ¶ Return a reader object which will iterate over lines in the given csvfile.csvfile can be any object which supports the iterator protocol and returns a string each time its __next__() method is called — file objects and list objects are both … Webor read the excel file as a string, then do a loop through the data of the fields you're concerned with and change all n/a to 0, then pass this edited data or re-save re-open the file with the datetime reader learn how to use pandas or openexcel to read all data as strings, then edit them, then reload it the datetime way Kerbart • 2 mo. ago maxwell cpa austin tx