Groupby and drop NaN rows while preserving one in Pandas

Question

Given a test dataset as follows:

   id city  name 
0   1   bj    NaN
1   2   bj   jack
2   3   bj    NaN
3   4   bj    jim
4   5   sh    NaN
5   6   sh    NaN