TfidfVectorizer不会在所有文档中使用整个单词集？

I am trying to build a TFIDF model with TfidfVectorizer. The feature name list namely the number of column of sparse matrix is shorter than the length of word set of documents even though I set min_df as 1. What happened? I am trying to build a TFIDF model with TfidfVe