{"id":1114223,"date":"2025-01-08T17:55:10","date_gmt":"2025-01-08T09:55:10","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1114223.html"},"modified":"2025-01-08T17:55:13","modified_gmt":"2025-01-08T09:55:13","slug":"python%e5%a6%82%e4%bd%95%e4%ba%a7%e7%94%9f%e5%9b%ba%e5%ae%9a%e5%80%bc%e9%9a%8f%e6%9c%ba%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1114223.html","title":{"rendered":"Python\u5982\u4f55\u4ea7\u751f\u56fa\u5b9a\u503c\u968f\u673a\u6570"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25075502\/d9eb0ae7-c65c-4e0d-aaab-3e5570caa7d6.webp\" alt=\"Python\u5982\u4f55\u4ea7\u751f\u56fa\u5b9a\u503c\u968f\u673a\u6570\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528\u56fa\u5b9a\u503c\uff08\u79cd\u5b50\uff09\u4ea7\u751f\u968f\u673a\u6570\u6709\u52a9\u4e8e\u786e\u4fdd\u7a0b\u5e8f\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u76f8\u540c\u7684\u968f\u673a\u6570\u5e8f\u5217\uff0c\u8fd9\u5bf9\u4e8e\u8c03\u8bd5\u548c\u6d4b\u8bd5\u975e\u5e38\u6709\u7528\u3002Python\u4e2d\u7684\u201crandom\u201d\u5e93\u63d0\u4f9b\u4e86\u8bbe\u7f6e\u79cd\u5b50\u7684\u65b9\u6cd5\u3001\u786e\u4fdd\u968f\u673a\u6570\u7684\u53ef\u91cd\u590d\u6027\u3001\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570\u3002\u901a\u8fc7\u4f7f\u7528random.seed()\u51fd\u6570\u8bbe\u7f6e\u79cd\u5b50\uff0c\u60a8\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u4ee3\u7801\u65f6\u751f\u6210\u76f8\u540c\u7684\u968f\u673a\u6570\u5e8f\u5217\u3002<\/strong><\/p>\n<\/p>\n<hr>\n<p><h2>\u4e00\u3001\u4f7f\u7528random.seed()\u51fd\u6570<\/h2>\n<\/p>\n<p><p>Python\u7684random\u5e93\u662f\u751f\u6210\u968f\u673a\u6570\u7684\u5e38\u7528\u5de5\u5177\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u4fdd\u8bc1\u6bcf\u6b21\u8fd0\u884c\u65f6\u7684\u968f\u673a\u6570\u5e8f\u5217\u76f8\u540c\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u8bbe\u7f6e\u79cd\u5b50<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528random.seed()\u51fd\u6570\u6765\u8bbe\u7f6e\u79cd\u5b50\u503c\u3002\u79cd\u5b50\u53ef\u4ee5\u662f\u4efb\u4f55\u6574\u6570\u6216None\u3002\u5982\u679c\u4e0d\u8bbe\u7f6e\u79cd\u5b50\uff0crandom\u5e93\u4f1a\u6839\u636e\u7cfb\u7edf\u65f6\u95f4\u751f\u6210\u4e00\u4e2a\u79cd\u5b50\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import random<\/p>\n<p>random.seed(42)  # \u8bbe\u7f6e\u79cd\u5b50\u503c<\/p>\n<p>print(random.random())  # \u751f\u6210\u968f\u673a\u6570<\/p>\n<p>print(random.randint(1, 100))  # \u751f\u62101\u5230100\u4e4b\u95f4\u7684\u968f\u673a\u6574\u6570<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u751f\u6210\u4e0d\u540c\u7c7b\u578b\u7684\u968f\u673a\u6570<\/h3>\n<\/p>\n<p><p>random\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ecrandom.random()\u3001random.randint()\u3001random.uniform()\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import random<\/p>\n<p>random.seed(42)<\/p>\n<h2><strong>\u751f\u62100\u52301\u4e4b\u95f4\u7684\u968f\u673a\u6d6e\u70b9\u6570<\/strong><\/h2>\n<p>print(random.random())<\/p>\n<h2><strong>\u751f\u6210\u6307\u5b9a\u8303\u56f4\u5185\u7684\u968f\u673a\u6574\u6570<\/strong><\/h2>\n<p>print(random.randint(1, 100))<\/p>\n<h2><strong>\u751f\u6210\u6307\u5b9a\u8303\u56f4\u5185\u7684\u968f\u673a\u6d6e\u70b9\u6570<\/strong><\/h2>\n<p>print(random.uniform(1, 10))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8bbe\u7f6e\u79cd\u5b50\u503c\u540e\uff0c\u65e0\u8bba\u4ee3\u7801\u8fd0\u884c\u591a\u5c11\u6b21\uff0c\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u90fd\u4f1a\u4fdd\u6301\u4e00\u81f4\u3002<\/strong>\u8fd9\u5bf9\u4e8e\u8c03\u8bd5\u548c\u6d4b\u8bd5\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u65f6\u7684\u7ed3\u679c\u4e00\u81f4\u3002<\/p>\n<\/p>\n<hr>\n<p><h2>\u4e8c\u3001\u4f7f\u7528numpy\u5e93\u751f\u6210\u968f\u673a\u6570<\/h2>\n<\/p>\n<p><p>\u9664\u4e86random\u5e93\uff0cnumpy\u5e93\u4e5f\u662f\u751f\u6210\u968f\u673a\u6570\u7684\u5e38\u7528\u5de5\u5177\u3002numpy.random.seed()\u51fd\u6570\u548crandom.seed()\u51fd\u6570\u7684\u4f5c\u7528\u7c7b\u4f3c\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u5b89\u88c5numpy\u5e93<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u5b89\u88c5numpy\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u8bbe\u7f6e\u79cd\u5b50\u5e76\u751f\u6210\u968f\u673a\u6570<\/h3>\n<\/p>\n<p><p>\u4e0erandom\u5e93\u7c7b\u4f3c\uff0c\u4f7f\u7528numpy\u5e93\u751f\u6210\u968f\u673a\u6570\u65f6\u4e5f\u53ef\u4ee5\u8bbe\u7f6e\u79cd\u5b50\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>np.random.seed(42)  # \u8bbe\u7f6e\u79cd\u5b50\u503c<\/p>\n<p>print(np.random.rand())  # \u751f\u62100\u52301\u4e4b\u95f4\u7684\u968f\u673a\u6d6e\u70b9\u6570<\/p>\n<p>print(np.random.randint(1, 100))  # \u751f\u62101\u5230100\u4e4b\u95f4\u7684\u968f\u673a\u6574\u6570<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3\u3001\u751f\u6210\u4e0d\u540c\u7c7b\u578b\u7684\u968f\u673a\u6570<\/h3>\n<\/p>\n<p><p>numpy\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ecnp.random.rand()\u3001np.random.randint()\u3001np.random.uniform()\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>np.random.seed(42)<\/p>\n<h2><strong>\u751f\u62100\u52301\u4e4b\u95f4\u7684\u968f\u673a\u6d6e\u70b9\u6570<\/strong><\/h2>\n<p>print(np.random.rand())<\/p>\n<h2><strong>\u751f\u6210\u6307\u5b9a\u8303\u56f4\u5185\u7684\u968f\u673a\u6574\u6570<\/strong><\/h2>\n<p>print(np.random.randint(1, 100))<\/p>\n<h2><strong>\u751f\u6210\u6307\u5b9a\u8303\u56f4\u5185\u7684\u968f\u673a\u6d6e\u70b9\u6570<\/strong><\/h2>\n<p>print(np.random.uniform(1, 10))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u4e00\u81f4\u3002<\/strong>\u8fd9\u5bf9\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u53ef\u4ee5\u786e\u4fdd\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u3002<\/p>\n<\/p>\n<hr>\n<p><h2>\u4e09\u3001\u4f7f\u7528\u56fa\u5b9a\u503c\u4ea7\u751f\u968f\u673a\u6570\u7684\u5e94\u7528\u573a\u666f<\/h2>\n<\/p>\n<p><h3>1\u3001\u79d1\u5b66\u7814\u7a76\u548c\u6570\u636e\u5206\u6790<\/h3>\n<\/p>\n<p><p>\u5728\u79d1\u5b66\u7814\u7a76\u548c\u6570\u636e\u5206\u6790\u4e2d\uff0c\u4fdd\u8bc1\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u975e\u5e38\u91cd\u8981\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u4e00\u81f4\uff0c\u4ece\u800c\u4fdd\u8bc1\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u3002<\/p>\n<\/p>\n<p><h3>2\u3001\u8c03\u8bd5\u548c\u6d4b\u8bd5<\/h3>\n<\/p>\n<p><p>\u5728\u8c03\u8bd5\u548c\u6d4b\u8bd5\u8fc7\u7a0b\u4e2d\uff0c\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u5feb\u901f\u5b9a\u4f4d\u95ee\u9898\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u4e00\u81f4\uff0c\u4ece\u800c\u66f4\u5bb9\u6613\u627e\u5230\u95ee\u9898\u6240\u5728\u3002<\/p>\n<\/p>\n<p><h3>3\u3001\u6e38\u620f\u5f00\u53d1<\/h3>\n<\/p>\n<p><p>\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\uff0c\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u8c03\u8bd5\u6e38\u620f\u903b\u8f91\u3002\u4f8b\u5982\uff0c\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u7684\u6e38\u620f\u5173\u5361\u4e00\u81f4\uff0c\u4ece\u800c\u66f4\u5bb9\u6613\u8c03\u8bd5\u6e38\u620f\u903b\u8f91\u3002<\/p>\n<\/p>\n<p><h3>4\u3001\u5bc6\u7801\u5b66<\/h3>\n<\/p>\n<p><p>\u5728\u5bc6\u7801\u5b66\u4e2d\uff0c\u751f\u6210\u968f\u673a\u6570\u662f\u5e38\u89c1\u7684\u9700\u6c42\u3002\u867d\u7136\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u53ef\u80fd\u4e0d\u4f7f\u7528\u56fa\u5b9a\u503c\u968f\u673a\u6570\uff0c\u4f46\u5728\u5f00\u53d1\u548c\u6d4b\u8bd5\u8fc7\u7a0b\u4e2d\uff0c\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u8c03\u8bd5\u52a0\u5bc6\u7b97\u6cd5\u3002<\/p>\n<\/p>\n<hr>\n<p><h2>\u56db\u3001\u6df1\u5165\u7406\u89e3\u968f\u673a\u6570\u751f\u6210\u5668<\/h2>\n<\/p>\n<p><h3>1\u3001\u968f\u673a\u6570\u751f\u6210\u5668\u7684\u5de5\u4f5c\u539f\u7406<\/h3>\n<\/p>\n<p><p>\u968f\u673a\u6570\u751f\u6210\u5668\uff08RNG\uff09\u901a\u5e38\u4f7f\u7528\u6570\u5b66\u7b97\u6cd5\u751f\u6210\u4e00\u7cfb\u5217\u4f2a\u968f\u673a\u6570\u3002\u8fd9\u4e9b\u6570\u770b\u4f3c\u968f\u673a\uff0c\u4f46\u5b9e\u9645\u4e0a\u662f\u7531\u786e\u5b9a\u6027\u7b97\u6cd5\u751f\u6210\u7684\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u4e00\u81f4\u3002<\/p>\n<\/p>\n<p><h3>2\u3001\u4e0d\u540c\u968f\u673a\u6570\u751f\u6210\u5668\u7684\u6bd4\u8f83<\/h3>\n<\/p>\n<p><p>\u4e0d\u540c\u7684\u968f\u673a\u6570\u751f\u6210\u5668\u5177\u6709\u4e0d\u540c\u7684\u7279\u6027\u3002\u4f8b\u5982\uff0crandom\u5e93\u548cnumpy\u5e93\u4f7f\u7528\u4e0d\u540c\u7684\u7b97\u6cd5\u751f\u6210\u968f\u673a\u6570\uff0c\u56e0\u6b64\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u53ef\u80fd\u4e0d\u540c\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u968f\u673a\u6570\u751f\u6210\u5668\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n<p><h3>3\u3001\u968f\u673a\u6570\u751f\u6210\u5668\u7684\u6027\u80fd<\/h3>\n<\/p>\n<p><p>\u4e0d\u540c\u7684\u968f\u673a\u6570\u751f\u6210\u5668\u5728\u6027\u80fd\u4e0a\u4e5f\u6709\u6240\u4e0d\u540c\u3002\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u9009\u62e9\u9ad8\u6548\u7684\u968f\u673a\u6570\u751f\u6210\u5668\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n<hr>\n<p><h2>\u4e94\u3001\u5b9e\u9645\u6848\u4f8b\uff1a\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570<\/h2>\n<\/p>\n<p><h3>1\u3001\u6570\u636e\u5206\u5272<\/h3>\n<\/p>\n<p><p>\u5728<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u5c06\u6570\u636e\u96c6\u5206\u5272\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u5206\u5272\u7ed3\u679c\u4e00\u81f4\uff0c\u4ece\u800c\u4fdd\u8bc1\u6a21\u578b\u8bad\u7ec3\u548c\u6d4b\u8bd5\u7684\u53ef\u91cd\u590d\u6027\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>from sklearn.model_selection import tr<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n_test_split<\/p>\n<p>np.random.seed(42)<\/p>\n<h2><strong>\u751f\u6210\u968f\u673a\u6570\u636e<\/strong><\/h2>\n<p>data = np.random.rand(100, 10)<\/p>\n<h2><strong>\u5206\u5272\u6570\u636e\u96c6<\/strong><\/h2>\n<p>train_data, test_data = train_test_split(data, test_size=0.2, random_state=42)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u968f\u673a\u91c7\u6837<\/h3>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u4ece\u6570\u636e\u96c6\u4e2d\u968f\u673a\u91c7\u6837\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u91c7\u6837\u7ed3\u679c\u4e00\u81f4\uff0c\u4ece\u800c\u4fdd\u8bc1\u5206\u6790\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>np.random.seed(42)<\/p>\n<h2><strong>\u751f\u6210\u968f\u673a\u6570\u636e<\/strong><\/h2>\n<p>data = np.random.rand(100, 10)<\/p>\n<h2><strong>\u968f\u673a\u91c7\u6837<\/strong><\/h2>\n<p>sample_data = data[np.random.choice(data.shape[0], 10, replace=False)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3\u3001\u968f\u673a\u6570\u5e8f\u5217\u751f\u6210<\/h3>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u751f\u6210\u4e00\u7cfb\u5217\u968f\u673a\u6570\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u4e00\u81f4\uff0c\u4ece\u800c\u4fdd\u8bc1\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>np.random.seed(42)<\/p>\n<h2><strong>\u751f\u6210\u968f\u673a\u6570\u5e8f\u5217<\/strong><\/h2>\n<p>random_sequence = np.random.rand(10)<\/p>\n<p>print(random_sequence)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<hr>\n<p><h2>\u516d\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p><strong>\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u4e00\u81f4\uff0c\u4ece\u800c\u4fdd\u8bc1\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u3002<\/strong>\u65e0\u8bba\u662f\u4f7f\u7528random\u5e93\u8fd8\u662fnumpy\u5e93\uff0c\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570\u7684\u65b9\u6cd5\u90fd\u662f\u76f8\u4f3c\u7684\u3002\u901a\u8fc7\u6df1\u5165\u7406\u89e3\u968f\u673a\u6570\u751f\u6210\u5668\u7684\u5de5\u4f5c\u539f\u7406\u548c\u6027\u80fd\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u9009\u62e9\u5408\u9002\u7684\u968f\u673a\u6570\u751f\u6210\u5668\uff0c\u6ee1\u8db3\u5177\u4f53\u5e94\u7528\u9700\u6c42\u3002\u5728\u79d1\u5b66\u7814\u7a76\u3001\u6570\u636e\u5206\u6790\u3001\u6e38\u620f\u5f00\u53d1\u548c\u5bc6\u7801\u5b66\u7b49\u9886\u57df\uff0c\u751f\u6210\u56fa\u5b9a\u503c\u968f\u673a\u6570\u90fd\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u751f\u6210\u53ef\u91cd\u590d\u7684\u968f\u673a\u6570\u5e8f\u5217\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u8981\u751f\u6210\u53ef\u91cd\u590d\u7684\u968f\u673a\u6570\u5e8f\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528<code>random<\/code>\u6a21\u5757\u4e2d\u7684<code>seed()<\/code>\u51fd\u6570\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\u503c\uff0c\u540e\u7eed\u751f\u6210\u7684\u968f\u673a\u6570\u5c06\u4fdd\u6301\u4e00\u81f4\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>random.seed(42)<\/code>\u540e\uff0c\u65e0\u8bba\u4f55\u65f6\u8fd0\u884c\u8fd9\u6bb5\u4ee3\u7801\uff0c\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u90fd\u4f1a\u662f\u76f8\u540c\u7684\u3002\u8fd9\u5bf9\u4e8e\u6d4b\u8bd5\u548c\u8c03\u8bd5\u975e\u5e38\u6709\u7528\u3002<\/p>\n<p><strong>Python\u4e2d\u6709\u54ea\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u751f\u6210\u968f\u673a\u6570\uff1f<\/strong><br \/>Python\u7684<code>random<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u591a\u79cd\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\uff0c\u5305\u62ec<code>random.random()<\/code>\u751f\u62100\u52301\u4e4b\u95f4\u7684\u6d6e\u70b9\u6570\uff0c<code>random.randint(a, b)<\/code>\u751f\u6210\u8303\u56f4\u5728a\u548cb\u4e4b\u95f4\u7684\u6574\u6570\uff0c<code>random.uniform(a, b)<\/code>\u751f\u6210\u8303\u56f4\u5728a\u548cb\u4e4b\u95f4\u7684\u6d6e\u70b9\u6570\u3002\u7ed3\u5408\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6ee1\u8db3\u5404\u79cd\u9700\u6c42\u3002<\/p>\n<p><strong>\u5982\u4f55\u786e\u4fdd\u751f\u6210\u7684\u968f\u673a\u6570\u5728\u7279\u5b9a\u8303\u56f4\u5185\uff1f<\/strong><br \/>\u4e3a\u4e86\u786e\u4fdd\u751f\u6210\u7684\u968f\u673a\u6570\u5728\u7279\u5b9a\u8303\u56f4\u5185\uff0c\u53ef\u4ee5\u4f7f\u7528<code>random.randint(a, b)<\/code>\u51fd\u6570\uff0c\u6307\u5b9a\u6574\u6570\u8303\u56f4\uff0c\u6216\u4f7f\u7528<code>random.uniform(a, b)<\/code>\u751f\u6210\u6d6e\u70b9\u6570\u3002\u5bf9\u4e8e\u9700\u8981\u751f\u6210\u591a\u4e2a\u968f\u673a\u6570\u7684\u60c5\u51b5\uff0c\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u4f8b\u5982<code>[random.randint(1, 10) for _ in range(5)]<\/code>\u751f\u62105\u4e2a1\u523010\u4e4b\u95f4\u7684\u968f\u673a\u6574\u6570\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528\u56fa\u5b9a\u503c\uff08\u79cd\u5b50\uff09\u4ea7\u751f\u968f\u673a\u6570\u6709\u52a9\u4e8e\u786e\u4fdd\u7a0b\u5e8f\u6bcf\u6b21\u8fd0\u884c\u65f6\u751f\u6210\u76f8\u540c\u7684\u968f\u673a\u6570\u5e8f\u5217\uff0c\u8fd9\u5bf9\u4e8e\u8c03\u8bd5\u548c\u6d4b\u8bd5\u975e\u5e38\u6709\u7528\u3002Pytho [&hellip;]","protected":false},"author":3,"featured_media":1114235,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1114223"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1114223"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1114223\/revisions"}],"predecessor-version":[{"id":1114236,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1114223\/revisions\/1114236"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1114235"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1114223"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1114223"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1114223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}