def METHOD_NAME(
    self,
    fig: Figure,
    axes: Axes,
) -> None:
    self.artists = np.zeros(
        (self.n_samples, 1),
        dtype=Artist,
    )
    for i, (mei, mbd) in enumerate(
        zip(self.outlier_detector.mei_, self.outlier_detector.mbd_),
    ):
        self.artists[i, 0] = axes[0].scatter(
            mei,
            mbd,
            picker=2,
        )
    axes[0].plot(
        self._mei_ordered,
        self._parabola_ordered,
    )
    shifted_parabola = (
        self._parabola_ordered
        - self.outlier_detector.max_inlier_distance_
    )
    axes[0].plot(
        self._mei_ordered,
        shifted_parabola,
        linestyle='dashed',
    )
    # Set labels of graph
    if self.fdata.dataset_name is not None:
        axes[0].set_title(self.fdata.dataset_name)
    axes[0].set_xlabel("MEI")
    axes[0].set_ylabel("MBD")
    axes[0].set_xlim([0, 1])
    axes[0].set_ylim([
        0,  # Minimum MBD
        1,  # Maximum MBD
    ])