Find the list values not in pandas dataframe data

Question

I have a list and pandas dataframe data that looks like this:

user_id = [10, 15, 20, 25, 30, 32, 40, 45, 50]

user_id  value 
10        45 
20        49 
25             


        

Answer 1

You can just use Series.isin() with negation (~).

df[~df["user_id"].isin(set(user_id))]

Conversion to set is always preferable as you'll better running time.