def modify(self, clazz, new_col, *args):
        """
        Modify some columns (i.e. apply a function) and add the
        result to the table.

        :param clazz: name of a class that extends class Callable
        :type clazz: class
        :param new_col: name of the new column
        :type new_col: str
        :param args: list of column names of the object that
        function should be applied to
        :type args: tuple
        :return: returns a new dataframe object with the modiefied values,
         i.e. the new column
        :rtype: DataFrame
        """
        if is_callable(clazz) and not is_none(new_col) and has_elements(*args):
            return self.__do_modify(clazz, new_col, *args)
def modify(self, clazz, new_col, *args):
        """
        Modify some columns (i.e. apply a function) and add the
        result to the table.

        :param clazz: name of a class that extends class Callable
        :type clazz: class
        :param new_col: name of the new column
        :type new_col: str
        :param args: list of column names of the object that
        function should be applied to
        :type args: tuple
        :return: returns a new dataframe object with the modiefied values,
         i.e. the new column
        :rtype: DataFrame
        """
        if is_callable(clazz) and not is_none(new_col) and has_elements(*args):
            return self.__do_modify(clazz, new_col, *args)
def modify ( self , clazz , new_col , * args ) : if is_callable ( clazz ) and not is_none ( new_col ) and has_elements ( * args ) : return self . __do_modify ( clazz , new_col , * args )
Modify some columns (i.e. apply a function) and add the
        result to the table.

        :param clazz: name of a class that extends class Callable
        :type clazz: class
        :param new_col: name of the new column
        :type new_col: str
        :param args: list of column names of the object that
        function should be applied to
        :type args: tuple
        :return: returns a new dataframe object with the modiefied values,
         i.e. the new column
        :rtype: DataFrame
Modify some columns ( i . e . apply a function ) and add the result to the table .