Subset dataframe by matching to wordnet synsets

[boredbobby]

Hi,

I have a dataframe of the following structure:

Column 1 contains individual words
Column 2 contains the count of each word

Now, I need to pick out the rows that contain only occupation words, such as barber, bartender, clerk, etc. I have already obtained this list of occupation words from WordNet, as follows:

ss = wn.synsets('person')[0]
joblist = ss.hyponyms()

How can I do this subsetting? Thanks for any help.