from sklearn.feature_extraction.text import TfidfVectorizer

tfidf = TfidfVectorizer(stop_words='english')

description = df['tokens'].astype(str)

dtm  = tfidf.fit_transform(description) 

dtm = pd.DataFrame(dtm.todense(), columns = tfidf.get_feature_names())

dtm.head()