def METHOD_NAME(info: _SlicePlotInfo) -> "Axes":
    if len(info.subplots) == 0:
        _, ax = plt.subplots()
        return ax
    # Set up the graph style.
    cmap = plt.get_cmap("Blues")
    padding_ratio = 0.05
    plt.style.use("ggplot")  # Use ggplot style sheet for similar outputs to plotly.
    if len(info.subplots) == 1:
        # Set up the graph style.
        fig, axs = plt.subplots()
        axs.set_title("Slice Plot")
        # Draw a scatter plot.
        sc = _generate_slice_subplot(info.subplots[0], axs, cmap, padding_ratio, info.target_name)
    else:
        # Set up the graph style.
        min_figwidth = matplotlib.rcParams["figure.figsize"][0] / 2
        fighight = matplotlib.rcParams["figure.figsize"][1]
        # Ensure that each subplot has a minimum width without relying on auto-sizing.
        fig, axs = plt.subplots(
            1,
            len(info.subplots),
            sharey=True,
            figsize=(min_figwidth * len(info.subplots), fighight),
        )
        fig.suptitle("Slice Plot")
        # Draw scatter plots.
        for i, subplot in enumerate(info.subplots):
            ax = axs[i]
            sc = _generate_slice_subplot(subplot, ax, cmap, padding_ratio, info.target_name)
    axcb = fig.colorbar(sc, ax=axs)
    axcb.set_label("Trial")
    return axs