pythonpandasnlpword-frequency
Efficient way to creating a Term Frequency Matrix from a Pandas Dataframe
Given a pandas data frame with 2 columns - column 1 is the user name, and column 2 is the content linked to the user.
How does one create a Term Frequency Matrix that looks like the following?
My attempt:
So it seems like this is working, but I want it to show column and row names in the final matrix form.
Solution
What if you convert it to a dataframe again?
pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())
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