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Efficient way to creating a Term Frequency Matrix from a Pandas Dataframe

Time:04-08

Given a pandas data frame with 2 columns - column 1 is the user name, and column 2 is the content linked to the user.

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How does one create a Term Frequency Matrix that looks like the following?

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My attempt: enter image description here

So it seems like this is working, but I want it to show column and row names in the final matrix form.

CodePudding user response:

What if you convert it to a dataframe again?

pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

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