Change marker style by a dataframe column (categorical) in seaborn stripplot-CodePudding

I was looking to visualise a categorical variable as marker style in seaborn stripplot, but it does not seem to be possible easily. Is there an easy way to do this. For example, I'm trying to run this code

tips = sns.load_dataset("tips")
sns.stripplot(x="day", y="total_bill", hue="time", style="sex", jitter=True, data=tips)

which fails. An alternative is to use relplot which does provide the option but has no way to insert jitter which makes the visualisation less nice.

sns.relplot(x="day", y="total_bill", hue="time", data=tips, style="sex")

works providing this

Is there any way of doing this using stripplot/catplot/swarmplot?

EDIT:

With sns.relplot you could iterate through all the subplots:

g = sns.relplot(x="day", y="total_bill", hue="time", data=tips, style="sex")
for ax in g.axes.flat:
    for points in ax.collections:
        vertices = points.get_offsets().data
        if len(vertices) > 0:
            vertices[:, 0]  = np.random.uniform(-0.3, 0.3, vertices.shape[0])
            points.set_offsets(vertices)
    xticks = ax.get_xticks()
    ax.set_xlim(xticks[0] - 0.5, xticks[-1]   0.5) # the limits need to be moved to show all the jittered dots
plt.show()