如何将seaborn countplot的Yaxis转换为反映百分比值？

import seaborn as sns
import matplotlib.pyplot as plt

# 假设数据集为df，y轴是需要转换的变量
sns.countplot(y='variable_name', data=df)

total = len(df['variable_name'])
counts = df['variable_name'].value_counts()

for i, count in enumerate(counts):
    percentage = "{:.2f}%".format((count/total) * 100)
    plt.text(count, i, percentage, ha='left', va='center')

import seaborn as sns
import matplotlib.pyplot as plt

# 加载数据集并创建countplot图表
sns.countplot(y='variable_name', data=df)

# 获取Y轴上各个类别的计数
total = len(df['variable_name'])
counts = df['variable_name'].value_counts()

# 计算百分比并绘制在图表上
for i, count in enumerate(counts):
    percentage = "{:.2f}%".format((count/total) * 100)
    plt.text(count, i, percentage, ha='left', va='center')

# 显示图表
plt.show()