code: def txt_to_obj(cls, file_path=None, text='', columns=None,
                     remove_empty_rows=True, key_on=None,
                     row_columns=None, deliminator='\t', eval_cells=True):
          
          return cls.str_to_obj(file_path=file_path, text=text, columns=columns,
                                remove_empty_rows=remove_empty_rows,
                                key_on=key_on, row_columns=row_columns,
                                deliminator=deliminator, eval_cells=eval_cells)
docs: This will convert text file or text to a seaborn table
          and return it
          :param file_path: str of the path to the file
          :param text: str of the csv text
          :param columns: list of str of columns to use
          :param row_columns: list of str of columns in data but not to use
          :param remove_empty_rows: bool if True will remove empty rows
          :param key_on: list of str of columns to key on
          :param deliminator: str to use as a deliminator
          :param eval_cells: bool if True will try to evaluate numbers
          :return: SeabornTable