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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 inter_data_operation(self, axis, func, other):
 """Apply a function that requires two BaseFrameManager objects. Args: axis: The axis to apply the function over (0 - rows, 1 - columns) func: The function to apply other: The other BaseFrameManager object to apply func to. Returns: A new BaseFrameManager object, the type of object that called this. """

        if axis:
            partitions = self.row_partitions
            other_partitions = other.row_partitions
        else:
            partitions = self.column_partitions
            other_partitions = other.column_partitions
        func = self.preprocess_func(func)
        result = np.array(
            [
                partitions[i].apply(
                    func,
                    num_splits=self._compute_num_partitions(),
                    other_axis_partition=other_partitions[i],
                )
                for i in range(len(partitions))
            ]
        )
        return self.__constructor__(result) if axis else self.__constructor__(result.T)