如何按组绘制时序DataFrame，并根据条件改变线型？

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

# 创建示例DataFrame
data = {'Timestamp': pd.date_range(start='1/1/2022', periods=10, freq='D'),
        'Group': ['A', 'A', 'B', 'B', 'B', 'C', 'C', 'C', 'C', 'C'],
        'Value': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]}
df = pd.DataFrame(data)

# 按组绘制时序DataFrame
fig, ax = plt.subplots()

# 根据条件改变线型
for group, data in df.groupby('Group'):
    if group == 'A':
        linestyle = '-'
    elif group == 'B':
        linestyle = '--'
    else:
        linestyle = ':'
    
    ax.plot(data['Timestamp'], data['Value'], label=group, linestyle=linestyle)

# 添加图例和标签
ax.legend()
ax.set_xlabel('Timestamp')
ax.set_ylabel('Value')

# 显示图形
plt.show()