def METHOD_NAME(
    self,
    fig: Figure,
    axes: Axes,
) -> None:
    """
    Plot DDPlot graph.
    Plot the depth of our fdata elements in the two different
    distributions, one in each axis. It is useful to understand how
    our data is more related with one subset of data / distribution
    than another one.
    Returns:
        fig (figure object): figure object in which the depths will be
        scattered.
    """
    self.artists = np.zeros(
        (self.n_samples, 1),
        dtype=Artist,
    )
    margin = 0.025
    width_aux_line = 1
    color_aux_line = "gray"
    ax = axes[0]
    self.artists[:, 0] = ax.scatter(
        self.depth_dist1,
        self.depth_dist2,
        c=self.c,
        cmap=self.cmap_bold,
        picker=True,
        pickradius=2,
    )
    # Set labels of graph
    if self.fdata.dataset_name is not None:
        ax.set_title(self.fdata.dataset_name)
    ax.set_xlim(
        [
            self.depth_method.min - margin,
            self.depth_method.max + margin,
        ],
    )
    ax.set_ylim(
        [
            self.depth_method.min - margin,
            self.depth_method.max + margin,
        ],
    )
    ax.plot(
        [0, 1],
        linewidth=width_aux_line,
        color=color_aux_line,
    )