有没有办法按groupby绘制多个柱状图？

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

data = {'Category': ['A', 'A', 'B', 'B', 'C', 'C'],
        'Subcategory': ['X', 'Y', 'X', 'Y', 'X', 'Y'],
        'Value': [10, 15, 20, 25, 30, 35]}
df = pd.DataFrame(data)

# 对数据进行分组
grouped = df.groupby(['Category', 'Subcategory'])['Value'].sum().unstack()

# 绘制柱状图
grouped.plot(kind='bar', figsize=(10, 5))
plt.title('Multiple Bar Charts by Group')
plt.xlabel('Category')
plt.ylabel('Value')
plt.xticks(rotation=0)
plt.legend(title='Subcategory')
plt.show()

# 对数据进行分组
grouped = df.groupby(['Category', 'Subcategory'])['Value'].sum().reset_index()

# 绘制柱状图
sns.barplot(data=grouped, x='Category', y='Value', hue='Subcategory')
plt.title('Multiple Bar Charts by Group')
plt.xlabel('Category')
plt.ylabel('Value')
plt.legend(title='Sublabel')
plt.show()