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Export dataframe to xlsx - Error "zipfile.BadZipFile: File is not a zip file"
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Export dataframe to xlsx - Error "zipfile.BadZipFile: File is not a zip file"
You can solve the problem with non-existing file by simply moving the writer line inside the try block and creating another one, with mode='w' inside the except block, e.g.:

def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None,
        Append a DataFrame [df] to existing Excel file [filename]
        into [sheet_name] Sheet.
        If [filename] doesn't exist, then this function will create it.
          filename : File path or existing ExcelWriter
                     (Example: '/path/to/file.xlsx')
          df : dataframe to save to workbook
          sheet_name : Name of sheet which will contain DataFrame.
                       (default: 'Sheet1')
          startrow : upper left cell row to dump data frame.
                     Per default (startrow=None) calculate the last row
                     in the existing DF and write to the next row...
          truncate_sheet : truncate (remove and recreate) [sheet_name]
                           before writing DataFrame to Excel file
          to_excel_kwargs : arguments which will be passed to `DataFrame.to_excel()`
                            [can be dictionary]
        Returns: None
        (c) [MaxU](
        from openpyxl import load_workbook
        # ignore [engine] parameter if it was passed
        if 'engine' in to_excel_kwargs:
        # Python 2.x: define [FileNotFoundError] exception if it doesn't exist 
        except NameError:
            FileNotFoundError = IOError
            writer = pd.ExcelWriter(filename, engine='openpyxl', mode='a')
            # try to open an existing workbook
   = load_workbook(filename)
            # get the last row in the existing Excel sheet
            # if it was not specified explicitly
            if startrow is None and sheet_name in
                startrow =[sheet_name].max_row
            # truncate sheet
            if truncate_sheet and sheet_name in
                # index of [sheet_name] sheet
                idx =
                # remove [sheet_name]
                # create an empty sheet [sheet_name] using old index
      , idx)
            # copy existing sheets
            writer.sheets = {ws.title:ws for ws in}
        except FileNotFoundError:
            # file does not exist yet, we will create it
            writer = pd.ExcelWriter(filename, engine='openpyxl')
        if startrow is None:
            startrow = 0
        # write out the new sheet
        df.to_excel(writer, sheet_name, startrow=startrow, **to_excel_kwargs)
        # save the workbook
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