{"id":1597,"date":"2023-07-25T17:12:43","date_gmt":"2023-07-25T17:12:43","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d0%be%d1%81%d1%82%d1%80%d0%be%d0%b8%d1%82%d1%8c-%d1%80%d0%b0%d1%81%d0%bf%d1%80%d0%b5%d0%b4%d0%b5%d0%bb%d0%b5%d0%bd%d0%b8%d0%b5-%d1%85%d0%b8-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82-%d0%b2-pyt\/"},"modified":"2023-07-25T17:12:43","modified_gmt":"2023-07-25T17:12:43","slug":"%d0%bf%d0%be%d1%81%d1%82%d1%80%d0%be%d0%b8%d1%82%d1%8c-%d1%80%d0%b0%d1%81%d0%bf%d1%80%d0%b5%d0%b4%d0%b5%d0%bb%d0%b5%d0%bd%d0%b8%d0%b5-%d1%85%d0%b8-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82-%d0%b2-pyt","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d0%be%d1%81%d1%82%d1%80%d0%be%d0%b8%d1%82%d1%8c-%d1%80%d0%b0%d1%81%d0%bf%d1%80%d0%b5%d0%b4%d0%b5%d0%bb%d0%b5%d0%bd%d0%b8%d0%b5-%d1%85%d0%b8-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82-%d0%b2-pyt\/","title":{"rendered":"\u041a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 python"},"content":{"rendered":"

<\/p>\n

\n

\u0427\u0442\u043e\u0431\u044b \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 Python, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n

 #x-axis ranges from 0 to 20 with .001 steps\n<\/span>x = np. arange<\/span> (0, 20, 0.001)\n\n#plot Chi-square distribution with 4 degrees of freedom\n<\/span>plt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 4<\/span> ))\n<\/strong><\/pre>\n
 \u041c\u0430\u0441\u0441\u0438\u0432 x<\/strong> \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d \u043e\u0441\u0438 x, \u0430 plt.plot()<\/strong> \u0441\u043e\u0437\u0434\u0430\u0435\u0442 \u0433\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0441 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u043c\u0438 \u0441\u0442\u0435\u043f\u0435\u043d\u044f\u043c\u0438 \u0441\u0432\u043e\u0431\u043e\u0434\u044b.<\/span><\/p>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u041f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u0433\u0440\u0430\u0444\u0438\u043a\u0430 \u0435\u0434\u0438\u043d\u0438\u0447\u043d\u043e\u0433\u043e \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442<\/strong><\/span><\/h3>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043e\u0434\u043d\u0443 \u043a\u0440\u0438\u0432\u0443\u044e \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0425\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0441 4 \u0441\u0442\u0435\u043f\u0435\u043d\u044f\u043c\u0438 \u0441\u0432\u043e\u0431\u043e\u0434\u044b.<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> chi2\n\n#x-axis ranges from 0 to 20 with .001 steps\n<\/span>x = np. arange<\/span> (0, 20, 0.001)\n\n#plot Chi-square distribution with 4 degrees of freedom\n<\/span>plt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 4<\/span> ))<\/strong> <\/pre>\n
\"\u041f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435<\/p>\n
 \u0412\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0446\u0432\u0435\u0442 \u0438 \u0442\u043e\u043b\u0449\u0438\u043d\u0443 \u043b\u0438\u043d\u0438\u0438 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435:<\/span> <\/p>\n
 plt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 4<\/span> ), color=' red<\/span> ', linewidth= 3<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2. \u041f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u0433\u0440\u0430\u0444\u0438\u043a\u0430 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0439 \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442<\/strong><\/span><\/h3>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043a\u0440\u0438\u0432\u044b\u0445 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0441 \u0440\u0430\u0437\u043d\u044b\u043c\u0438 \u0441\u0442\u0435\u043f\u0435\u043d\u044f\u043c\u0438 \u0441\u0432\u043e\u0431\u043e\u0434\u044b:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> chi2\n\n#x-axis ranges from 0 to 20 with .001 steps\n<\/span>x = np. arange<\/span> (0, 20, 0.001)\n\n#define multiple Chi-square distributions\n<\/span>plt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 4<\/span> ), label=' df: 4<\/span> ')\nplt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 8<\/span> ), label=' df: 8<\/span> ') \nplt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 12<\/span> ), label=' df: 12<\/span> ') \n\n#add legend to plot\n<\/span>plt. legend<\/span> ()<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u041d\u0435 \u0441\u0442\u0435\u0441\u043d\u044f\u0439\u0442\u0435\u0441\u044c \u043c\u0435\u043d\u044f\u0442\u044c \u0446\u0432\u0435\u0442\u0430 \u043b\u0438\u043d\u0438\u0439 \u0438 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0442\u044c \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a \u0438 \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439, \u0447\u0442\u043e\u0431\u044b \u0437\u0430\u0432\u0435\u0440\u0448\u0438\u0442\u044c \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0443:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> chi2\n\n#x-axis ranges from 0 to 20 with .001 steps\n<\/span>x = np. arange<\/span> (0, 20, 0.001)\n\n#define multiple Chi-square distributions\n<\/span>plt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 4<\/span> ), label=' df: 4<\/span> ', color=' gold<\/span> ')\nplt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 8<\/span> ), label=' df: 8<\/span> ', color=' red<\/span> ')\nplt. plot<\/span> (x, chi2. pdf<\/span> (x, df= 12<\/span> ), label=' df: 12<\/span> ', color=' pink<\/span> ') \n\n#add legend to plot\n<\/span>plt. legend<\/span> (title=' Parameters<\/span> ')\n\n#add axes labels and a title\n<\/span>plt. ylabel<\/span> (' Density<\/span> ')\nplt. xlabel<\/span> (' x<\/span> ')\nplt. title<\/span> (' Chi-Square Distributions<\/span> ', fontsize= 14<\/span> )<\/strong> <\/pre>\n
\"\u041f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435<\/p>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435\u0441\u044c \u043a \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 matplotlib<\/a> \u0434\u043b\u044f \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u043e\u0433\u043e \u043e\u0431\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u0438 plt.plot()<\/strong> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0427\u0442\u043e\u0431\u044b \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 Python, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: #x-axis ranges from 0 to 20 with .001 steps x = np. arange (0, 20, 0.001) #plot Chi-square distribution with 4 degrees of freedom plt. plot (x, chi2. pdf (x, df= 4 )) \u041c\u0430\u0441\u0441\u0438\u0432 x \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d \u043e\u0441\u0438 x, \u0430 plt.plot() \u0441\u043e\u0437\u0434\u0430\u0435\u0442 \u0433\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f […]<\/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-1597","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 Python<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 Python, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\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\/ru\/\u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c-\u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435-\u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442-\u0432-pyt\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 Python\" \/>\n<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u0432 Python, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c-\u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435-\u0445\u0438-\u043a\u0432\u0430\u0434\u0440\u0430\u0442-\u0432-pyt\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T17:12:43+00:00\" 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