def str_to_obj(cls, file_path=None, text='', columns=None,
                   remove_empty_rows=True, key_on=None,
                   row_columns=None, deliminator='\t', eval_cells=True):
        """
        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
        """
        text = cls._get_lines(file_path, text)
        if len(text) == 1:
            text = text[0].split('\r')

        list_of_list = [[cls._eval_cell(cell, _eval=eval_cells)
                         for cell in row.split(deliminator)]
                        for row in text if not remove_empty_rows or
                        True in [bool(r) for r in row]]

        if list_of_list[0][0] == '' and list_of_list[0][-1] == '':
            list_of_list = [row[1:-1] for row in list_of_list]
        return cls.list_to_obj(list_of_list, key_on=key_on, columns=columns,
                               row_columns=row_columns)