Python: filter dataframe rows so that values are in columns of other dataframe

Consider that I have one dataframe that looks like this:

Gender Employed
1      1
0      0 
1      0
0      1

And I have another dataframe that looks like:

Name  Area
Andy  Gender
Ally  HR
Chris Employed
Tom   Food

I only want to keep the row entries in the area column that correspond to the column names of my first dataframe. These are example dataframes and my actual dataframe has hundreds of columns so no very specific answers involving ‘Gender’ and ‘Employed’ will work.

The end result should be

Name  Area
Andy  Gender
Chris Employed

>Solution :

You can filter a df like this:

df[df['Area'].isin(df2.columns)]