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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _scalar_operations(self, axis, scalar, func):
 """Handler for mapping scalar operations across a Manager. Args: axis: The axis index object to execute the function on. scalar: The scalar value to map. func: The function to use on the Manager with the scalar. Returns: A new QueryCompiler with updated data and new index. """

        if isinstance(scalar, (list, np.ndarray, pandas.Series)):
            new_index = self.index if axis == 0 else self.columns

            def list_like_op(df):
                if axis == 0:
                    df.index = new_index
                else:
                    df.columns = new_index
                return func(df)

            new_data = self._map_across_full_axis(
                axis, self._prepare_method(list_like_op)
            )
            return self.__constructor__(new_data, self.index, self.columns)
        else:
            return self._map_partitions(self._prepare_method(func))