Combination Chart Problem in Displaying Xlabel and its Correct Quantity?

I have a table called df_ger_top10 like this and I want to visualize a combination chart including revenue and quantity of each stock code. However, when I visualize them in a chart, the quantity shown for bar chart is wrong, and I don't know why. It seems like the xlabel is modified when I add revenue line because when I remove the line graph of revenue, it becomes normal. Here is my code for the combination chart, which shows wrong quantity of each stock code.

import numpy as np
import pandas as pd
import seaborn as sns
import plotly.express as px
import matplotlib.pyplot as plt
%matplotlib inline 

fig, ax1 = plt.subplots(figsize=(15,8))

ax2 = ax1.twinx()
sns.barplot(x= df_ger_top10.StockCode,
            y= df_ger_top10.Quantity, 
            color='#004488',
            ax=ax1)
for p in ax1.patches: 
    height =p.get_height()
    ax1.text(p.get_x()+p.get_width()/2.,
        height + 3,
        '{:1.0f}'.format(height),
        ha="center", fontsize=12)
ax1.set_title('Top Selling Categories and Revenue',weight='bold',fontsize=16)
ax1.set_ylabel('Quantity',weight='bold',fontsize=13)
ax1.set_xlabel('Stock Code', weight='bold',fontsize=13)


sns.lineplot(x=df_ger_top10.StockCode, 
             y=df_ger_top10.Revenue,
             color='g',
             marker="o",
             ax=ax2)
ax2.set_ylabel('Revenue',weight='bold',fontsize=13)

ymin, ymax = ax2.get_ylim()
bonus = (ymax - ymin)/40
for x, y, name in zip(df_ger_top10['StockCode'], round(df_ger_top10['Revenue']), round(df_ger_top10['Revenue']).astype('str').replace('\.0', '', regex=True)):
    ax2.text(x, y + bonus, name, color = 'g', weight = 'bold', ha='right')
plt.show()