# What are the advantages/disadvantages of using tfidf on n-grams generated through countvectorizer?

What are the advantages/disadvantages of using tfidf on n-grams generated through countvectorizer when your end goal is to see the frequent occurring terms in the corpus with the occurrence percentage?

First, CountVectorizer produces a matrix of token counts, not TF-IDF weights. In order to obtain TF-IDF weights you would have to use TfidfVectorizer.