{"id":204099,"date":"2025-05-29T13:11:45","date_gmt":"2025-05-29T05:11:45","guid":{"rendered":"https:\/\/server.hk\/cnblog\/204099\/"},"modified":"2025-05-29T13:11:45","modified_gmt":"2025-05-29T05:11:45","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8-numpy-%e4%b8%ad%e4%bd%bf%e7%94%a8-numpy-random-normal-%e7%94%9f%e6%88%90%e6%8c%87%e5%ae%9a%e4%b8%8a%e9%99%90%e5%92%8c%e4%b8%8b%e9%99%90%e7%9a%84%e6%ad%a3%e6%80%81","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/204099\/","title":{"rendered":"\u5982\u4f55\u5728 NumPy \u4e2d\u4f7f\u7528 `numpy.random.normal` \u751f\u6210\u6307\u5b9a\u4e0a\u9650\u548c\u4e0b\u9650\u7684\u6b63\u6001\u5206\u5e03\u968f\u673a\u6570\uff1f"},"content":{"rendered":"

<\/b> <\/p>\n

\u5982\u4f55\u5728 NumPy \u4e2d\u4f7f\u7528 `numpy.random.normal` \u751f\u6210\u6307\u5b9a\u4e0a\u9650\u548c\u4e0b\u9650\u7684\u6b63\u6001\u5206\u5e03\u968f\u673a\u6570\uff1f<\/h1>\n

\u4ece\u73b0\u5728\u5f00\u59cb\uff0c\u6211\u4eec\u8981\u52aa\u529b\u5b66\u4e60\u5566\uff01\u4eca\u5929\u6211\u7ed9\u5927\u5bb6\u5e26\u6765\uff0c\u611f\u5174\u8da3\u7684\u670b\u53cb\u8bf7\u7ee7\u7eed\u770b\u4e0b\u53bb\u5427\uff01\u4e0b\u6587\u4e2d\u7684\u5185\u5bb9\u6211\u4eec\u4e3b\u8981\u4f1a\u6d89\u53ca\u5230<\/span>\u7b49\u7b49\u77e5\u8bc6\u70b9\uff0c\u5982\u679c\u5728\u9605\u8bfb\u672c\u6587\u8fc7\u7a0b\u4e2d\u6709\u9047\u5230\u4e0d\u6e05\u695a\u7684\u5730\u65b9\uff0c\u6b22\u8fce\u7559\u8a00\u5440\uff01\u6211\u4eec\u4e00\u8d77\u8ba8\u8bba\uff0c\u4e00\u8d77\u5b66\u4e60\uff01<\/p>\n

<\/p>\n

\u5982\u4f55\u4f7f\u7528 numpy.random.normal \u6307\u5b9a\u4e0a\u9650\u548c\u4e0b\u9650<\/strong><\/p>\n

\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u503c\u5e38\u7528\u4e8e\u5efa\u6a21\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u73b0\u8c61\u3002\u7136\u800c\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u9700\u8981\u4ece\u843d\u5728\u7279\u5b9a\u8303\u56f4\u5185\u7684\u5206\u5e03\u4e2d\u9009\u53d6\u503c\u3002\u672c\u6587\u5c06\u63a2\u8ba8\u5982\u4f55\u4f7f\u7528 numpy.random.normal \u6307\u5b9a\u4e0a\u9650\u548c\u4e0b\u9650\u3002<\/p>\n

\u539f\u59cb\u95ee\u9898\u4e2d\u63d0\u4f9b\u7684\u65b9\u6cd5\u5305\u542b\u4e00\u4e2a\u963b\u585e\u5faa\u73af\uff0c\u4e0d\u65ad\u91cd\u65b0\u751f\u6210\u503c\uff0c\u76f4\u5230\u5b83\u843d\u5728\u7ed9\u5b9a\u7684\u8303\u56f4\u5185\u3002\u867d\u7136\u8fd9\u662f\u4e00\u79cd\u53ef\u884c\u7684\u65b9\u6cd5\uff0c\u4f46\u5e76\u4e0d\u9ad8\u6548\u3002<\/p>\n

\u66f4\u597d\u7684\u65b9\u6cd5\u662f\u4f7f\u7528 numpy.random.normal \u7684\u7279\u6027\uff0c\u8be5\u51fd\u6570\u63a5\u53d7\u4e00\u4e2a\u540d\u4e3a size \u7684\u53c2\u6570\uff0c\u53ef\u6307\u5b9a\u751f\u6210\u7684\u6837\u672c\u6570\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528 loc \u548c scale \u53c2\u6570\u5206\u522b\u6307\u5b9a\u5747\u503c\u548c\u6807\u51c6\u5dee\u3002<\/p>\n

\u901a\u8fc7\u6307\u5b9a size \u4e3a 1\uff0c\u53ef\u4ee5\u751f\u6210\u4e00\u4e2a\u5355\u4e00\u7684\u6837\u672c\u3002\u7136\u540e\u4f7f\u7528numpy.clip\u51fd\u6570\u5c06\u503c\u622a\u65ad\u5230\u6240\u9700\u7684\u8303\u56f4\u5185\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n

import numpy as np\n\n# \u6307\u5b9a\u5206\u5e03\u53c2\u6570\nmu = 0.5\nsigma = 0.2\n\n# \u6307\u5b9a\u4e0a\u9650\u548c\u4e0b\u9650\nlower = 0\nupper = 1\n\n# \u751f\u6210\u6837\u672c\u5e76\u5c06\u5176\u622a\u65ad\u5230\u6307\u5b9a\u8303\u56f4\u5185\nsample = np.clip(np.random.normal(loc=mu, scale=sigma, size=1), lower, upper)[0]<\/pre>\n
\u8fd9\u4e2a\u6539\u8fdb\u7684\u65b9\u6cd5\u5229\u7528\u4e86 numpy \u7684\u5f3a\u5927\u529f\u80fd\uff0c\u63d0\u4f9b\u4e86\u4ece\u7279\u5b9a\u6b63\u6001\u5206\u5e03\u4e2d\u751f\u6210\u503c\u7684\u9ad8\u6548\u4e14\u7b80\u6d01\u7684\u65b9\u6cd5\u3002<\/p>\n
\u4eca\u5929\u5173\u4e8e\u300a\u5982\u4f55\u5728 NumPy \u4e2d\u4f7f\u7528 `numpy.random.normal` \u751f\u6210\u6307\u5b9a\u4e0a\u9650\u548c\u4e0b\u9650\u7684\u6b63\u6001\u5206\u5e03\u968f\u673a\u6570\uff1f\u300b\u7684\u5185\u5bb9\u5c31\u4ecb\u7ecd\u5230\u8fd9\u91cc\u4e86\uff0c\u662f\u4e0d\u662f\u5b66\u8d77\u6765\u4e00\u76ee\u4e86\u7136\uff01\u60f3\u8981\u4e86\u89e3\u66f4\u591a\u5173\u4e8e\u7684\u5185\u5bb9\u8bf7\u5173\u6ce8\u516c\u4f17\u53f7\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
\u5982\u4f55\u5728 NumPy \u4e2d\u4f7f\u7528 `n...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4925],"tags":[],"class_list":["post-204099","post","type-post","status-publish","format-standard","hentry","category-4925"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204099","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=204099"}],"version-history":[{"count":0,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204099\/revisions"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=204099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=204099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=204099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}