Python -How to compare columns from two dataframe and create 3rd with new values?

I have two dataframes that contains names. What I am need to do is to check which of the names in second dataframe are not present in the first dataframe.
For this example

list1 = ['Mark','Sofi','Joh','Leo','Jason']
df1 = pd.DataFrame(list1, columns =['Names'])

and

list2 = ['Mark','Sofi','David','Matt','Jason']
df2 = pd.DataFrame(list2, columns =['Names'])

So basically I in this simple example we can see that David and Matt from second dataframe do not exist in the first dataframe.

I need programmatically to come up with 3rd dataframe that will have results like this:

Names
David
Matt

My first thought was to try using pandas merge function but I am unable to get the unique set of names from df2 that are not in df1.

Any thoughts on how to do this?

>Solution :

You can create the 3rd dataframe filtering the 2nd with a condition like this..

df3 = df2[~df2['Names'].isin(df1['Names'])]