def METHOD_NAME(color, ext, xext, yext, npts, title, subt, style, pt):
    """Helper function to create two similar plots where color, extent, title,
    line style, and marker style can all be customized on the same style map
    projection.
    Args:
        color (:class: 'str'):
            color for line on map in format 'color'
        ext (:class: 'list'):
            extent of the projection view in format [minlon, maxlon, minlat, maxlat]
        xext (:class: 'list'):
            start and stop points for curve in format [startlon, stoplon]
        yext (:class: 'list'):
            start and stop points for curve in format [startlat, stoplat]
        title (:class: 'str'):
            title of graph in format "Title"
        style (:class: 'str'):
            line style in format 'style'
        pt (:class: 'str'):
            marker type in format 'type'
    """
    plt.figure(figsize=(8, 8))
    ax = plt.axes(projection=ccrs.PlateCarree())
    ax.set_extent(ext, ccrs.PlateCarree())
    ax.add_feature(cfeature.LAND, color="lightgrey")
    # This gets geodesic between the two points
    # WGS84 ellipsoid is used
    # yext and xext refer to the start and stop points for the curve
    # [0] being start, [1] being stop
    gl = Geodesic.WGS84.InverseLine(yext[0], xext[0], yext[1], xext[1])
    npoints = npts
    # Compute points on the geodesic, and plot them
    # gl.s13 is the total length of the geodesic
    # the points are equally spaced by 'true distance', but visually
    # there is a slight distortion due to curvature/projection style
    lons = []
    lats = []
    for ea in np.linspace(0, gl.s13, npoints):
        g = gl.Position(ea, Geodesic.STANDARD | Geodesic.LONG_UNROLL)
        lon2 = g["lon2"]
        lat2 = g["lat2"]
        lons.append(lon2)
        lats.append(lat2)
    plt.plot(lons, lats, style, color=color, transform=ccrs.Geodetic())
    ax.plot(lons, lats, pt, transform=ccrs.PlateCarree())
    plt.suptitle(title, y=0.90, fontsize=16)
    # Use geocat.viz.util convenience function to set axes parameters without calling several matplotlib functions
    # Set axes limits, and tick values
    gv.set_axes_limits_and_ticks(
        ax,
        xlim=(-125, -60),
        ylim=(15, 65),
        xticks=np.linspace(-180, 180, 13),
        yticks=np.linspace(0, 80, 5),
    )
    # Use geocat.viz.util convenience function to make plots look like NCL plots by using latitude, longitude tick labels
    gv.add_lat_lon_ticklabels(ax)
    # Remove the degree symbol from tick labels
    ax.yaxis.set_major_formatter(LatitudeFormatter(degree_symbol=""))
    ax.xaxis.set_major_formatter(LongitudeFormatter(degree_symbol=""))
    # 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 set titles and labels without calling several matplotlib functions
    gv.set_titles_and_labels(ax,
                             maintitle=subt,
                             maintitlefontsize=12,
                             xlabel="",
                             ylabel="")
    plt.show()