def METHOD_NAME(X, Y, values, bg_color=None):
    # Create a figure and axes using subplots
    fig, ax = plt.subplots(figsize=(6, 8))
    # Choose default colormap
    cmap = cmaps.gui_default
    # Plot using contourf
    p = plt.contourf(X,
                     Y,
                     values,
                     cmap=cmap,
                     levels=np.arange(-20, 70, 5) * 100,
                     zorder=3)
    # Change orientation and tick marks of colorbar
    plt.colorbar(p,
                 orientation="horizontal",
                 ticks=np.arange(-15, 65, 15) * 100,
                 drawedges=True,
                 aspect=12)
    # Use geocat.viz.util convenience function to add minor and major tick lines
    gv.add_major_minor_ticks(ax, labelsize=12)
    # Use geocat.viz.util convenience function to add titles to left and right of the plot axis.
    gv.set_titles_and_labels(ax,
                             lefttitle=ds.DZ.long_name,
                             lefttitlefontsize=16,
                             righttitle=ds.DZ.units,
                             righttitlefontsize=16,
                             xlabel="",
                             ylabel="")
    # Use geocat.viz.util convenience function to set axes limits & tick values
    gv.set_axes_limits_and_ticks(ax,
                                 xlim=(-240, 240),
                                 ylim=(-240, 240),
                                 xticks=np.arange(-200, 201, 100),
                                 yticks=np.arange(-200, 201, 100))
    # Use geocat.viz.util convenience function to set tick placements
    gv.add_major_minor_ticks(ax,
                             x_minor_per_major=5,
                             y_minor_per_major=5,
                             labelsize=14)
    # Set aspect ratio
    ax.set_aspect('equal')
    # Allow optional background circle to be set
    if (bg_color is not None):
        circle_bg = plt.Circle((0, 0), 240, color=bg_color, zorder=1)
        ax.add_artist(circle_bg)
    # Show plot
    plt.show()