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44龙再飞.py

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+
+text = "Hello"
+print([ord(c) for c in text])
+print(chr(65))
+
+import numpy as np
+A = np.array([3, 4])
+B = np.array([1, 2])
+print(A + B)
+print(2 * A)
+print(np.linalg.norm(A))
+A = np.array([1, 2, 3])
+B = np.array([4, 5, 6])
+print(np.dot(A, B))
+cos = np.dot(A,B)/(np.linalg.norm(A)*np.linalg.norm(B))
+print(cos)
+A2 = np.array([1,0])
+B2 = np.array([0,1])
+print(np.dot(A2,B2)/(np.linalg.norm(A2)*np.linalg.norm(B2)))
+from sklearn.feature_extraction.text import CountVectorizer
+docs = ["Python 是 编程 语言","Java 是 编程 语言","Python Python Python"]
+vec = CountVectorizer()
+print(vec.fit_transform(docs).toarray())
+print(vec.get_feature_names_out())
+
+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("矩阵:\n", matrix.toarray())