我有以下内容：
path_BestEffort="BestEffort.txt"
path_Demands="ConnectionServiceDemand.txt"
data_demands = pd.read_csv(path_Demands,sep='\t',header=None)
data_BestEfforts = pd.read_csv(path_BestEffort,sep='\t',header=None)
data_demands在哪里
0 #ConnectionID ServiceDemandComponent ServiceDemandComponentValue
1 CN01207493 LoadFWD 1400000.0
2 CN01207494 LoadFWD 2450000.0
3 CN01207495 LoadFWD 1.010e+07
4 CN01207496 LoadFWD 1750000.0
... ... ... ...
3358 CN01210498 LoadFWD 2800000.0
3359 CN01210499 LoadFWD 1400000.0
3360 CN01210500 LoadFWD 2100000.0
3361 CN01210501 LoadFWD 350000.0
3362 CN01210502 LoadFWD 1050000.0
[3363 rows x 5 columns]
data_BestEffort在哪里
0
0 CN01207495
1 CN01207501
2 CN01207504
3 CN01207505
4 CN01207510
.. ...
699 CN01210489
700 CN01210492
701 CN01210496
[702行x 1列]
我想用data_BestEffort进行data_demands的内部联接，并仅使用与`data_BestEffort对应并找到的#ConnectionID打印data_demands。如下所示：
0 #ConnectionID ServiceDemandComponent ServiceDemandComponentValue
1 CN01207495 LoadFWD 2400000.0
2 CN01207501 LoadFWD 200000.0
3 CN01207504 LoadFWD 3.010e+07
4 CN01207505 LoadFWD 1250000.0
... ... ... ...
699 CN01210489 LoadFWD 0.0
700 CN01210492 LoadFWD 2800000.0
701 CN01210496 LoadFWD 1000000.0