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

title=settings["title"],
            palette=settings["colors"])
    )
    plots.extend(
        compplots.violin_or_box_plot(
            df=df[df["length_filter"]],
            y="lengths",
            figformat=settings["format"],
            path=settings["path"],
            y_name="Read length",
            plot=settings["plot"],
            title=settings["title"],
            palette=settings["colors"])
    )
    plots.extend(
        compplots.violin_or_box_plot(
            df=df[df["length_filter"]],
            y="log length",
            figformat=settings["format"],
            path=settings["path"],
            y_name="Log-transformed read length",
            plot=settings["plot"],
            log=True,
            title=settings["title"],
            palette=settings["colors"])
    )
    if "quals" in df:
        plots.extend(
            compplots.violin_or_box_plot(
                df=df,
                y="quals",
                figformat=settings["format"],

)
    plots.extend(
        compplots.violin_or_box_plot(
            df=df[df["length_filter"]],
            y="log length",
            figformat=settings["format"],
            path=settings["path"],
            y_name="Log-transformed read length",
            plot=settings["plot"],
            log=True,
            title=settings["title"],
            palette=settings["colors"])
    )
    if "quals" in df:
        plots.extend(
            compplots.violin_or_box_plot(
                df=df,
                y="quals",
                figformat=settings["format"],
                path=settings["path"],
                y_name="Average base call quality score",
                plot=settings["plot"],
                title=settings["title"],
                palette=settings["colors"])
        )
    if "duration" in df:
        plots.extend(
            compplots.compare_sequencing_speed(
                df=df,
                figformat=settings["format"],
                path=settings["path"],
                title=settings["title"],

df=df,
            figformat=settings["format"],
            path=settings["path"],
            title=settings["title"],
            palette=settings["colors"])
    )
    plots.extend(
        compplots.n50_barplot(
            df=df,
            figformat=settings["format"],
            path=settings["path"],
            title=settings["title"],
            palette=settings["colors"])
    )
    plots.extend(
        compplots.violin_or_box_plot(
            df=df[df["length_filter"]],
            y="lengths",
            figformat=settings["format"],
            path=settings["path"],
            y_name="Read length",
            plot=settings["plot"],
            title=settings["title"],
            palette=settings["colors"])
    )
    plots.extend(
        compplots.violin_or_box_plot(
            df=df[df["length_filter"]],
            y="log length",
            figformat=settings["format"],
            path=settings["path"],
            y_name="Log-transformed read length",