def METHOD_NAME(
    x,
    y,
    orientation="h",
    color="red",
    width=1.0,
    fill_color="red",
    marker="square",
    marker_size=2,
    value_mapper_class=LinearMapper,
    padding=30,
):
    assert len(x) == len(y)
    # If you know it is monotonically increasing, sort_order can
    # be set to 'ascending'
    index = ArrayDataSource(x, sort_order="none")
    value = ArrayDataSource(y, sort_order="none")
    index_range = DataRange1D(tight_bounds=False)
    index_range.add(index)
    index_mapper = LinearMapper(range=index_range)
    value_range = DataRange1D(tight_bounds=False)
    value_range.add(value)
    value_mapper = value_mapper_class(range=value_range)
    plot = ScatterPlot(
        index=index,
        value=value,
        index_mapper=index_mapper,
        value_mapper=value_mapper,
        orientation=orientation,
        color=color,
        fill_color=fill_color,
        marker=marker,
        marker_size=marker_size,
        padding=[40, 15, 15, 20],  # left, right, top, bottom
        border_visible=True,
        border_width=1,
        bgcolor="white",
        use_backbuffer=True,
        backbuffer_padding=False,
        unified_draw=True,
        draw_layer="plot",
        overlay_border=True,
    )
    vertical_grid = PlotGrid(
        component=plot,
        mapper=index_mapper,
        orientation="vertical",
        line_color="gray",
        line_style="dot",
    )
    horizontal_grid = PlotGrid(
        component=plot,
        mapper=value_mapper,
        orientation="horizontal",
        line_color="gray",
        line_style="dot",
    )
    vertical_axis = PlotAxis(orientation="left", mapper=plot.value_mapper)
    horizontal_axis = PlotAxis(
        orientation="bottom",
        title="Time (s)",
        mapper=plot.index_mapper,
    )
    plot.underlays.append(vertical_grid)
    plot.underlays.append(horizontal_grid)
    # Have to add axes to overlays because we are backbuffering the main plot,
    # and only overlays get to render in addition to the backbuffer.
    plot.overlays.append(vertical_axis)
    plot.overlays.append(horizontal_axis)
    return plot