上传文件至 /

.py.txt

@@ -0,0 +1,7 @@
+import numpy as np
+img = np.array([
+    [255, 255, 0,   0  ],
+    [255, 255, 0,   0  ],
+    [0,   0,   255, 255],
+    [0,   0,   255, 255]
+], dtype=np.uint8)

import numpy as np.py

@@ -0,0 +1,10 @@
+import numpy as np
+
+image = np.array([
+    [100, 150, 200],
+    [80,  120, 180],
+    [60,  90,  140]
+], dtype=np.uint8)
+
+print("原图：")
+print(image)

import numpy as np3.py

@@ -0,0 +1,17 @@
+import numpy as np
+vocab = ["Python", "学习", "数据", "人工智能", "编程"]
+doc1 = "Python学习编程"
+doc2 = "Python人工智能数据"
+
+def text_to_vector(text, vocab):
+    words = text.split()
+    vector = np.zeros(len(vocab))
+    for i, word in enumerate(vocab):
+        vector[i] = words.count(word)
+    return vector
+
+v1 = text_to_vector(doc1, vocab)
+v2 = text_to_vector(doc2, vocab)
+
+print("doc1向量:", v1)
+print("doc2向量:", v2)