{"id":1931,"date":"2023-07-24T10:08:46","date_gmt":"2023-07-24T10:08:46","guid":{"rendered":"https:\/\/statorials.org\/cn\/cdf-%e8%9f%92%e8%9b%87\/"},"modified":"2023-07-24T10:08:46","modified_gmt":"2023-07-24T10:08:46","slug":"cdf-%e8%9f%92%e8%9b%87","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/cdf-%e8%9f%92%e8%9b%87\/","title":{"rendered":"\u5982\u4f55\u5728 python \u4e2d\u8ba1\u7b97\u548c\u7ed8\u5236 cdf"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 Python \u4e2d\u8ba1\u7b97\u7d2f\u79ef\u5206\u5e03\u51fd\u6570 (CDF)\uff1a<\/span><\/p>\n

 #sortdata<\/span>\nx = np. sort<\/span> (data)\n\n#calculate CDF values\n<\/span>y = 1. * np. range<\/span> (len(data)) \/ (len(data) - 1)\n\n#plot CDF\n<\/span>plt. plot<\/span> (x, y)\n<\/strong><\/pre>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n
\u793a\u4f8b 1\uff1a\u968f\u673a\u5206\u5e03 CDF<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u548c\u7ed8\u5236\u968f\u673a\u6570\u636e\u6837\u672c\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570 (CDF)\uff1a<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n<\/span>#define random sample of data\ndata = np. random<\/span> . rann<\/span> (10000)\n<\/span>\n#sortdata<\/span>\nx = np. sort<\/span> (data)\n\n#calculate CDF values\n<\/span>y = 1. * np. range<\/span> (len(data)) \/ (len(data) - 1)\n\n#plot CDF\n<\/span>plt. plot<\/span> (x, y)\nplt. xlabel<\/span> (' x<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 x\u8f74\u663e\u793a\u539f\u59cb\u6570\u636e\u503c\uff0cy\u8f74\u663e\u793a\u5bf9\u5e94\u7684CDF\u503c\u3002<\/span><\/p>\n
\u793a\u4f8b 2\uff1a\u6b63\u6001\u5206\u5e03 CDF<\/strong><\/span><\/h3>\n
\u5982\u679c\u8981\u7ed8\u5236\u5df2\u77e5\u5206\u5e03\uff08\u4f8b\u5982\u6b63\u6001\u5206\u5e03<\/a>\uff09\u7684\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528SciPy<\/a>\u5e93\u4e2d\u7684\u4ee5\u4e0b\u51fd\u6570\uff1a<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> scipy\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#generate data from normal distribution\n<\/span>data = np. random<\/span> . rann<\/span> (1000)\n\n#sortdata\n<\/span>x = np. sort<\/span> (data)\n\n#calculate CDF values\n<\/span>y = scipy. stats<\/span> . norm<\/span> . cdf<\/span> (x)\n\n#plot CDF\n<\/span>plt. plot<\/span> (data_sorted, norm_cdf)\n\n#plot CDF\n<\/span>plt. plot<\/span> (x, y)\nplt. xlabel<\/span> (' x<\/span> ')<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
CDF \u6216 PDF\uff1a\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/a>
\u5982\u4f55\u7528 Python \u521b\u5efa\u949f\u5f62\u66f2\u7ebf<\/a>
\u5982\u4f55\u7528 Python \u8ba1\u7b97 Z \u5206\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 Python \u4e2d\u8ba1\u7b97\u7d2f\u79ef\u5206\u5e03\u51fd\u6570 (CDF)\uff1a #sortdata x = np.  […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1931","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u548c\u7ed8\u5236 CDF - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u548c\u7ed8\u5236 CDF\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/cdf-\u87d2\u86c7\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u548c\u7ed8\u5236 CDF - 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