nested if statements with .loc in python

I am using if in a conditional statement like the below code. If address is NJ then the value of name column is changed to 'N/A'

df1.loc[df1.Address.isin(['NJ']), 'name'] = 'N/A'

How to do the same, if I have 'nested if statements' like below

# this not code just representing the logic
if address isin ('NJ', 'NY'):
    if name1 isin ('john', 'bob'):
        name1 = 'N/A' 
    if name2 isin ('mayer', 'dylan'):
        name2 = 'N/A'

Can I achieve above logic using df.loc ? Or is there any other way to do it ?