python - Sorting TfidfVectorizer output by tf-idf (lowest to highest and vice versa) -

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i'm using tfidfvectorizer() sklearn on part of text data sense of term-frequency each feature (word). current code following

from sklearn.feature_extraction.text import tfidfvectorizer tfidf = tfidfvectorizer(analyzer='word', stop_words = 'english')  # fit_transform on training data x_traintfidf = tfidf.fit_transform(x_train)

if want sort tf-idf values of each term in 'x_traintfidf' lowest highest (and vice versa), say, top10, , make these sorted tf-idf value rankings 2 series objects, how should proceed last line of code?

thank you.

i reading similar thread couldn't figure out how it. maybe able connect tips shown in thread question here.





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