I am writing a py to import in a large amount of files, manipulate them and then output to .csv. Which is cake in Pandas, however I have no control over the files coming in so I am trying to write the script to have an exception on how to handle if files come in the "wrong" way.
Anyway, I am using a Try/Except to show the user that there is a KeyError in one of the files (basicially there is a " in a cell when the datatype is int).
My question is: Is there a way to have the except: bring back the file name of the file that caused the error??
for csv in csvList:
        df = pd.read_csv(csv, header=0, skip_blank_lines=True, skipinitialspace=True)\
            .dropna(how='all')
        try:
            df[0] = df[0].astype(int)
            df[1] = df[1].astype(int)
            df[2] = df[2].astype(int)
            df[3] = df[3].astype(int)
            report_path = 'UPC_Ready_for_Import'
            if not os.path.exists(report_path):
                os.makedirs(report_path)
            df.to_csv(os.path.join(report_path, csv + '_import.csv'), index=False)
        except KeyError:
            print('Error within file, please review files')
 
     
    