count rows with multiple criterion in pandas

Question

   LoginID1 CallDisposition
0   58130   Connected
1   58130   Connected
2   58130   Connected
3   58130   Connected
4   58130   Connected
... ... ...
9248    56694   NotConnected
9249    56694   NotConnected
9250    56694   NotConnected
9251    56694   NotConnected
9252    56694   NotConnected

there are many login IDs (column LoginID1) I want to know values of only four, like [58130:58134] counting Connected and NotConnected in CallDisposition (column).

I have tried

df.groupby('LoginID1')['CallDisposition'].value_counts()

however it returns all the values of all the login IDs.

LoginID1  CallDisposition
1098      NotConnected        6
          Connected           5
1172      Connected           3
3052      Connected           1
4288      NotConnected       26
                             ..
58207     NotConnected        6
          Connected           3
58289     NotConnected       71
          Connected          18
47483750  NotConnected        1