使用Python熊猫，我正在尝试按“客户ID”分组找到“保存投影at50”列的最大值，并且需要获取相应的部门代码。
df的格式如下：
Customer ID "Annual Savings" "Total Income" Dept Code "Save Projection at 50"
0002806a094b4eccae0e9d8dbba3c875 0 76,000 7000 625,862
0002806a094b4eccae0e9d8dbba3c875 0 76,000 7008 627,862
0014e82d5c4c49d8ad2b26a8241c22cf 7,500 36,000 7000 194,201
0014e82d5c4c49d8ad2b26a8241c22cf 7,500 36,000 7001 195,245
001f0c417537431faac1a098eb8d0563 100,000 200,000 7000 4,309,103
001f0c417537431faac1a098eb8d0563 100,000 200,000 7001 4,525,926
001f0c417537431faac1a098eb8d0563 100,000 200,000 7005 3,629,698
0021a55561c44e4d8c240d80457fc882 234,216 150,000 7001 10,821,979
0021a55561c44e4d8c240d80457fc882 234,216 150,000 7002 10,510,446
0021a55561c44e4d8c240d80457fc882 234,216 150,000 7003 9,705,334
0021a55561c44e4d8c240d80457fc882 234,216 150,000 7004 9,529,463
NEW df应具有相应的最大值（“客户ID”和“部门代码”），其最大值分别来自““将投影保存为50””
Customer ID Dept Code "Save Projection at 50"
0002806a094b4eccae0e9d8dbba3c875 7008 627,862
0014e82d5c4c49d8ad2b26a8241c22cf 7001 195,245
001f0c417537431faac1a098eb8d0563 7001 4,525,926
0021a55561c44e4d8c240d80457fc882 7001 10,821,979
有人可以帮我吗？
此刻，我只能通过以下方式获得“客户ID”和“ Save Projection at50”的最大值：
打印（data.groupby（['GUID']）['“保存投影到50”']。max（））
**Customer ID "Save Projection at 50"**
0002806a094b4eccae0e9d8dbba3c875 627,862
0014e82d5c4c49d8ad2b26a8241c22cf 195,245
001f0c417537431faac1a098eb8d0563 4,525,926
0021a55561c44e4d8c240d80457fc882 10,821,979