如何获得按DataFrame分组的值的和，并生成numpy矩阵？

import pandas as pd
import numpy as np

# 创建DataFrame对象
data = {'Group': ['A', 'A', 'B', 'B', 'C', 'C'],
        'Value': [1, 2, 3, 4, 5, 6]}
df = pd.DataFrame(data)

# 按Group列进行分组，并计算每个分组的和
grouped = df.groupby('Group').sum()

# 将结果转换为numpy矩阵
matrix = np.array(grouped)

print(matrix)

[[ 3]
 [ 7]
 [11]]