Dual axis plot broken in 0.13.2 (vs. 0.12.2)

[divingtobi]

The following code produces a dual axis plot with properly labelled tick marks on both axis with seaborn 0.12.2 (python 3.10.11). However, with seaborn 0.13.2 (python 3.11.4) the tick labels of the right axis are duplicated on the left axis.

import seaborn.objects as so
import pandas as pd
import matplotlib.pyplot as plt


df = pd.DataFrame(
    {"x": [1, 2, 3, 4, 5], "y1": [5, 2, 1, 6, 2], "y2": [1000, 240, 1300, 570, 120]}
)
fig, ax1 = plt.subplots(1, 1, figsize=(6, 4))
ax2 = ax1.twinx()
ax1.tick_params(axis="x", labelrotation=45)
p1 = (
    so.Plot(df, x="x", y="y1")
    .add(so.Bar(width=0.7))
    .label(x="Month", y="Data 1", title="TITLE")
    .on(ax1)
    .plot()
)
p2 = (
    so.Plot(df, x="x", y="y2")
    .add(so.Line(color="orange", linewidth=3))
    .label(y="Data 2", title="TITLE")
    .scale(y=so.Continuous().label(like="{x:,.0f}"))
    .on(ax2)
    .plot()
)

Result with 0.13.2:

Result with 0.12.2:

[mwaskom]

Are you holding the matplotlib version constant here?

[MaozGelbart]

Looks like a duplicate of #3614. Can confirm the issue here is fixed by #3696.