Get the rows that are not shared between two data frames

I have two data frames with the exact same column, but one of them have 1000 rows (df1), and one of them 500 (df2). The rows of df2 are also found in the data frame df1, but I want the rows that are not.

For example, lets say this is df1:

          Gender       Age
1           F           43
3           F           56
33          M           76
476         F           30
810         M           29

and df2:

          Gender       Age
3           F           56
476         F           30

I want a new data frame, df3, that have the unshared rows:

          Gender       Age
1           F           43
33          M           76
810         M           29

How can I do that ?

>Solution :

Use pd.Index.difference:

df3 = df1.loc[df1.index.difference(df2.index)]