How to change zorders in hvplot.scatter made with the "by" keyword?

I have a pandas DataFrame and want to make a scatter plot colored by the categories (integer number) with hvplot. The plot’s zorder is set such that a larger category value has a higher zorder value. I’m wondering whether it is possible to reverse (or control) the zorder of the plot with hvplot or otherwise other packages (e.g., holoviews).

Here is a code to make a plot.

import holoviews as hv
import hvplot.pandas  # noqa need to run pandas.DataFrame.hvplot
import numpy as np
import pandas as pd


n_points = 10000
rng = np.random.default_rng(seed=42)
df = pd.DataFrame(
        "x": rng.normal(size=n_points),
        "y": rng.normal(size=n_points),
        "z": rng.integers(low=1, high=10, size=n_points),

scatter = df.hvplot.scatter(x="x", y="y", by="z", marker="o", s=60)


The plot generated by the code above with the category 2 and 9 being highlighted. As you can see, the category 2 is mostly hidden by the category 9.