{"id":204324,"date":"2025-05-29T10:46:57","date_gmt":"2025-05-29T02:46:57","guid":{"rendered":"https:\/\/server.hk\/cnblog\/204324\/"},"modified":"2025-05-29T10:46:57","modified_gmt":"2025-05-29T02:46:57","slug":"%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8-scipy-stats-truncnorm-%e9%99%90%e5%88%b6-numpy-random-normal-%e7%94%9f%e6%88%90%e7%9a%84%e5%80%bc%e8%8c%83%e5%9b%b4%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/204324\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 scipy.stats.truncnorm \u9650\u5236 numpy.random.normal \u751f\u6210\u7684\u503c\u8303\u56f4\uff1f"},"content":{"rendered":"<p><b><\/b>     <\/p>\n<h1>\u5982\u4f55\u4f7f\u7528 scipy.stats.truncnorm \u9650\u5236 numpy.random.normal \u751f\u6210\u7684\u503c\u8303\u56f4\uff1f<\/h1>\n<p>\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 style=\"color: #FF6600;, Helvetica, Arial, sans-serif;font-size: 14px;background-color: #FFFFFF\"><\/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><img decoding=\"async\" src=\"https:\/\/www.17golang.com\/uploads\/20241104\/1730712294672892e6718d6.jpg\" class=\"aligncenter\"><\/p>\n<p><strong>numpy.random.normal \u4e2d\u5982\u4f55\u9650\u5236\u503c\u7684\u8303\u56f4<\/strong><\/p>\n<p>\u5728\u4f7f\u7528 numpy.random.normal \u65f6\uff0c\u6709\u65f6\u60a8\u53ef\u80fd\u4f1a\u5e0c\u671b\u751f\u6210\u7684\u503c\u843d\u5728\u7279\u5b9a\u7684\u8303\u56f4\u5185\u3002\u867d\u7136\u60a8\u53ef\u4ee5\u91cd\u590d\u8c03\u7528\u8be5\u51fd\u6570\u5e76\u4e22\u5f03\u4e0d\u7b26\u5408\u6761\u4ef6\u7684\u503c\uff0c\u4f46\u5b58\u5728\u4e00\u79cd\u66f4\u6709\u6548\u7684\u65b9\u6cd5\u53ef\u4ee5\u5b9e\u73b0\u6b64\u76ee\u7684\u3002\u8ba9\u6211\u4eec\u63a2\u8ba8\u4f7f\u7528 scipy.stats.truncnorm \u7684\u65b9\u6cd5\u3002<\/p>\n<p><strong>\u4f7f\u7528 scipy.stats.truncnorm \u751f\u6210\u622a\u65ad\u6b63\u6001\u5206\u5e03<\/strong><\/p>\n<p>scipy.stats.truncnorm \u5141\u8bb8\u60a8\u4ece\u622a\u65ad\u6b63\u6001\u5206\u5e03\u4e2d\u751f\u6210\u968f\u673a\u53d8\u91cf\u3002\u6b64\u5206\u5e03\u7531\u5176\u4e0b\u9650\u3001\u4e0a\u9650\u3001\u5747\u503c\u548c\u6807\u51c6\u5dee\u5b9a\u4e49\u3002\u5728 scipy.stats.truncnorm \u7684\u4e0a\u4e0b\u6587\u4e2d\uff1a<\/p>\n<ul>\n<li>\u4e0b\u9650\u548c\u4e0a\u9650\u5b9a\u4e49\u4e86\u5206\u5e03\u7684\u8303\u56f4\u3002<\/li>\n<li>\u5747\u503c\u548c\u6807\u51c6\u5dee\u5b9a\u4e49\u4e86\u5206\u5e03\u7684\u5f62\u72b6\u3002<\/li>\n<\/ul>\n<p>\u4ee5\u4e0b\u4ee3\u7801\u7247\u6bb5\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528 scipy.stats.truncnorm \u751f\u6210\u968f\u673a\u53d8\u91cf\uff1a<\/p>\n<pre>import matplotlib.pyplot as plt\nimport scipy.stats as stats\n\nlower, upper = 3.5, 6\nmu, sigma = 5, 0.7\nX = stats.truncnorm(\n    (lower - mu) \/ sigma, (upper - mu) \/ sigma, loc=mu, scale=sigma)\n\nfig, ax = plt.subplots(2, sharex=True)\nax[0].hist(X.rvs(10000), normed=True)\nax[1].hist(N.rvs(10000), normed=True)\nplt.show()<\/pre>\n<p>\u6b64\u4ee3\u7801\u5c06\u751f\u6210\u4e00\u4e2a\u622a\u65ad\u6b63\u6001\u5206\u5e03\uff0c\u5176\u4e0b\u9650\u4e3a 3.5\u3001\u4e0a\u9650\u4e3a 6\u3001\u5747\u503c\u4e3a 5 \u548c\u6807\u51c6\u5dee\u4e3a 0.7\u3002\u751f\u6210\u7684\u968f\u673a\u53d8\u91cf\u5c06\u4ec5\u843d\u5728 3.5 \u548c 6 \u4e4b\u95f4\u3002<\/p>\n<p>\u7ec8\u4e8e\u4ecb\u7ecd\u5b8c\u5566\uff01\u5c0f\u4f19\u4f34\u4eec\uff0c\u8fd9\u7bc7\u5173\u4e8e\u300a\u5982\u4f55\u4f7f\u7528 scipy.stats.truncnorm \u9650\u5236 numpy.random.normal \u751f\u6210\u7684\u503c\u8303\u56f4\uff1f\u300b\u7684\u4ecb\u7ecd\u5e94\u8be5\u8ba9\u4f60\u6536\u83b7\u591a\u591a\u4e86\u5427\uff01\u6b22\u8fce\u5927\u5bb6\u6536\u85cf\u6216\u5206\u4eab\u7ed9\u66f4\u591a\u9700\u8981\u5b66\u4e60\u7684\u670b\u53cb\u5427~\u516c\u4f17\u53f7\u4e5f\u4f1a\u53d1\u5e03\u6587\u7ae0\u76f8\u5173\u77e5\u8bc6\uff0c\u5feb\u6765\u5173\u6ce8\u5427\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5982\u4f55\u4f7f\u7528 scipy.stats&#46;&#46;&#46;<\/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-204324","post","type-post","status-publish","format-standard","hentry","category-4925"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204324","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=204324"}],"version-history":[{"count":0,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204324\/revisions"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=204324"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=204324"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=204324"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}