Overlay points on violin plot using Seaborn

I wish to compare two datasets. To this end, I want to represent the first as a violin and the second as points.

Unfortunately, there is a discrepancy between the two plots, as can be seen in the figure attached to the message.

I am unable to overlay the two plots.

Here is the part of the script that I use.

figure, ax = plt.subplots(1, 1, figsize=(10,10))

ax = sns.violinplot(data=df2.rolling(window=3).mean(),   split=False, color="pink")

sns.stripplot(data=df.rolling(window=3).mean(), dodge=True,  linewidth=1, jitter=False, ax=ax)

Here output of df.describe() and df2,describe()

df2.describe()

     Bafoussam

count 1395.000000 mean 7.030180 std 10.730945 min 0.000000 25% 0.000000 50% 2.900000 75% 9.800000 max 102.300003

df.describe()

   Bafoussam    Dschang

count 31.000000 31.000000 mean 16.980645 26.138710 std 25.344683 31.060786 min 0.000000 0.000000 25% 0.000000 0.000000 50% 8.200000 8.100000 75% 24.500000 48.800000 max 96.200000 90.600000

Finally, I reproduced what I wanted by applying this

fig = plt.figure(figsize=(10,14))
gs = fig.add_gridspec(2, 2)
ax1 = fig.add_subplot(gs[0, 0])
ax2 = fig.add_subplot(gs[0, 1])

ax3 = fig.add_subplot(gs[1, 0])
ax4 = fig.add_subplot(gs[1, 1])



sns.violinplot(data=df2["Station1"],   split=False, color="pink", inner=None, ax=ax1)
sns.stripplot(data=df["Statation1"], dodge=True,  linewidth=1, jitter=False, ax=ax1, color="red", size=16)


sns.violinplot(data=df2["Station2"].rolling(window=rday).mean(), inner=None, split=False, color="pink", ax=ax2)
sns.stripplot(data=df["Station2"].rolling(window=rday).mean(), dodge=True,  linewidth=1, jitter=False, ax=ax2, color="red", size=16)