How to apply CountVectorizer to a column of a dataset?

Question

I have been able to use the CountVectorizer in single text strings and all but I have a dataset that has 80.000 length. How can I apply CountVectorizer to everything in a single column? I have tried the following:

count_vect = CountVectorizer(lowercase=False)
cv = count_vect.fit_transform(df['Tokenized_Review'])

Thank you all in advance!

Answer 1

Thank you, everyone, for your time. Turns out this will do the trick:

df['Vectorized'] = 'default value'
vectorizer = CountVectorizer()
for i in range(0,len(df):
    vectorizer.fit_transform(df['Tokenized_Review'][i])
    df['Vectorized'][i] = vectorizer.vocabulary_