How to use the nanocomp.compplots.compare_cumulative_yields function in NanoComp

)
    if "percentIdentity" in df:
        plots.extend(
            compplots.violin_or_box_plot(
                df=df[df["percentIdentity"] > np.percentile(df["percentIdentity"], 1)],
                y="percentIdentity",
                figformat=settings["format"],
                path=settings["path"],
                y_name="Percent reference identity",
                plot=settings["plot"],
                title=settings["title"],
                palette=settings["colors"])
        )
    if "start_time" in df:
        plots.extend(
            compplots.compare_cumulative_yields(
                df=df,
                path=settings["path"],
                title=settings["title"],
                palette=settings["colors"])
        )
    if "channelIDs" in df:
        plots.append(
            compplots.active_pores_over_time(
                df=df,
                path=settings["path"],
                palette=settings["colors"],
                title=settings["title"]
            )
        )
    plots.extend(
        compplots.overlay_histogram(