Having trouble applying arrowstyle in adjust_text

[isty2e]

def plot_leagues_ratings(
    df: pl.DataFrame, filename: Union[Path, str], year: int, x_size: int, y_size: int
):
    title = f"Rating ({year})"
    df = df.with_columns(pl.lit(0).alias("dummy"))
    df = df.to_pandas()
    df["League"] = pd.Categorical(
        df["League"], categories=["LCK", "LPL", "LEC", "LCS"], ordered=True
    )
    arrow_style = dict(arrowstyle="-", lw=0.5)
    p = (
        p9.ggplot(df, mapping=p9.aes(x="dummy", y="Elo"))
        + p9.facet_grid(". ~ League")
        + p9.scale_x_continuous(breaks=[0])
        + p9.labs(title=title)
        + p9.theme_bw()
        + p9.theme(
            plot_title=p9.element_text(face="bold", size=18),
            legend_key=p9.element_blank(),
            legend_position="none",
            axis_title_x=p9.element_blank(),
            axis_title_y=p9.element_blank(),
            axis_text_x=p9.element_blank(),
        )
        + p9.geom_point(shape="_", size=3)
        + p9.geom_text(
            p9.aes(label="Team"),
            data=df,
            adjust_text={
                "expand_points": (2, 2),
                "expand_text": (2, 2),
                "arrowprops": arrow_style,
            },
        )
    )

    p.save(filename=str(filename), width=x_size, height=y_size, dpi=300)

The code above produces following figure:

It seems that arrowprops is applied to the first category only. The data to reproduce this is here:

2019.csv

You can then read the dataframe with:

import polars as pl

df = pl.read_csv("2019.csv")