from sklearn.feature_extraction.text import CountVectorizer


docs = [
    "Python 是 编程 语言",
    "Java 是 编程 语言",
    "Python Python Python"
]


vectorizer = CountVectorizer()
X = vectorizer.fit_transform(docs)


print("词表（Vocabulary）：")
print(vectorizer.get_feature_names_out())


print("\n每个文档的BoW向量：")
for i, doc_vec in enumerate(X.toarray()):
    print(f"Doc{i+1}: {doc_vec}")