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zsk2.py

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+#词表为["Python", "是", "编程", "语言", "Java"]；
+#Doc1 向量[1,1,1,1,0]，Doc2 向量[0,1,1,1,1]，Doc3 向量[3,0,0,0,0];
+from sklearn.feature_extraction.text import TfidfVectorizer
+
+docs = ["Python 编程", "Java 编程", "Python Python"]
+tfidf = TfidfVectorizer()
+matrix = tfidf.fit_transform(docs)
+
+print("词表:", tfidf.get_feature_names_out())
+print("TF-IDF矩阵:")
+print(matrix.toarray())