如何用一张图上显示的两个字典的值来标注熊猫条形图？

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# 创建两个字典
age_dict = {'Panda1': 5, 'Panda2': 3, 'Panda3': 4}
weight_dict = {'Panda1': 100, 'Panda2': 150, 'Panda3': 120}

# 将字典转换为DataFrame
df_age = pd.DataFrame.from_dict(age_dict, orient='index', columns=['Age'])
df_weight = pd.DataFrame.from_dict(weight_dict, orient='index', columns=['Weight'])

# 合并两个DataFrame
df = pd.concat([df_age, df_weight], axis=1)

# 绘制熊猫条形图
sns.barplot(x=df.index, y='Age', data=df, color='blue', label='Age')
sns.barplot(x=df.index, y='Weight', data=df, color='orange', label='Weight')

# 添加标注
for i in range(len(df)):
    plt.annotate(df.iloc[i]['Age'], xy=(i, df.iloc[i]['Age']), ha='center', va='bottom')
    plt.annotate(df.iloc[i]['Weight'], xy=(i, df.iloc[i]['Weight']), ha='center', va='top')

# 设置图表标题和标签
plt.title('Panda Age and Weight')
plt.xlabel('Panda')
plt.ylabel('Value')

# 显示图表
plt.show()