Count vectorizer bag of words feature extraction

The following code will show the count vectorizer for a bag of words:

from sklearn.feature_extraction.text import CountVectorizer
 bow_vectorizer = CountVectorizer(max_df=0.90, min_df=2, max_features=1000, stop_words='english')
 # bag-of-words
 bow = bow_vectorizer.fit_transform(Newdata['Clean_review2'])