Filter dataframe based on 2 columns

I have a big dataframe

city	Flow
Berlin	False
Berlin	True
Vienna	False
Vienna	True
Vienna	False
Frankfurt	True
Frankfurt	False

I want to remove only the rows where city and flow is Vienna and false using python

Resulting dataframe should be

city	Flow
Berlin	False
Berlin	True
Vienna	True
Frankfurt	True
Frankfurt	False

Answer

Try:

>>> df[df["city"].ne("Vienna")|df["Flow"]]
        city   Flow
0     Berlin  False
1     Berlin   True
3     Vienna   True
5  Frankfurt   True
6  Frankfurt  False