{"id":1614,"date":"2023-07-25T15:42:09","date_gmt":"2023-07-25T15:42:09","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/"},"modified":"2023-07-25T15:42:09","modified_gmt":"2023-07-25T15:42:09","slug":"%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/","title":{"rendered":"Anova \u0443\u044d\u043b\u0447\u0430 \u0432 python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)"},"content":{"rendered":"

<\/p>\n

\n

ANOVA \u0423\u044d\u043b\u0447\u0430<\/strong> \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043e\u0439 \u0442\u0438\u043f\u0438\u0447\u043d\u043e\u043c\u0443 \u043e\u0434\u043d\u043e\u0444\u0430\u043a\u0442\u043e\u0440\u043d\u043e\u043c\u0443 ANOVA,<\/a> \u043a\u043e\u0433\u0434\u0430 \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043e \u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u0435 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u0439<\/a> \u043d\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f.<\/span><\/p>\n

\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python.<\/span><\/p>\n

\u0428\u0430\u0433 1. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u0434\u0430\u043d\u043d\u044b\u0435<\/strong><\/span><\/h3>\n

\u0427\u0442\u043e\u0431\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u043f\u0440\u0438\u0432\u043e\u0434\u044f\u0442 \u043b\u0438 \u0442\u0440\u0438 \u0440\u0430\u0437\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u0430 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043a \u0440\u0430\u0437\u043d\u044b\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u0430, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u043d\u0430\u0437\u043d\u0430\u0447\u0430\u0435\u0442 10 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 (\u043c\u0435\u0442\u043e\u0434 A, B \u0438\u043b\u0438 C) \u0432 \u0442\u0435\u0447\u0435\u043d\u0438\u0435 \u043d\u0435\u0434\u0435\u043b\u0438, \u0430 \u0437\u0430\u0442\u0435\u043c \u0434\u0430\u0435\u0442 \u043a\u0430\u0436\u0434\u043e\u043c\u0443 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0443 \u0442\u0435\u0441\u0442 \u0440\u0430\u0432\u043d\u043e\u0439 \u0441\u043b\u043e\u0436\u043d\u043e\u0441\u0442\u0438.<\/span><\/p>\n

\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u043e\u0432 30 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u044b \u043d\u0438\u0436\u0435:<\/span><\/p>\n

 A = [64, 66, 68, 75, 78, 94, 98, 79, 71, 80]\nB = [91, 92, 93, 90, 97, 94, 82, 88, 95, 96]\nC = [79, 78, 88, 94, 92, 85, 83, 85, 82, 81]\n<\/strong><\/pre>\n
 \u0428\u0430\u0433 2: \u0422\u0435\u0441\u0442 \u043d\u0430 \u0440\u0430\u0432\u043d\u044b\u0435 \u0440\u0430\u0437\u043b\u0438\u0447\u0438\u044f<\/strong><\/span><\/h3>\n
 \u0417\u0430\u0442\u0435\u043c \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0442\u0435\u0441\u0442 \u0411\u0430\u0440\u0442\u043b\u0435\u0442\u0442\u0430<\/a> , \u0447\u0442\u043e\u0431\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u0440\u0430\u0432\u043d\u044b \u043b\u0438 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u0438 \u043c\u0435\u0436\u0434\u0443 \u043a\u0430\u0436\u0434\u043e\u0439 \u0433\u0440\u0443\u043f\u043f\u043e\u0439.<\/span><\/p>\n
 \u0415\u0441\u043b\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 p<\/a> \u0442\u0435\u0441\u0442\u043e\u0432\u043e\u0439 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0438\u0436\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0443\u0440\u043e\u0432\u043d\u044f \u0437\u043d\u0430\u0447\u0438\u043c\u043e\u0441\u0442\u0438 (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u03b1 = 0,05), \u0442\u043e \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u043e\u0442\u0432\u0435\u0440\u0433\u043d\u0443\u0442\u044c \u043d\u0443\u043b\u0435\u0432\u0443\u044e \u0433\u0438\u043f\u043e\u0442\u0435\u0437\u0443 \u0438 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0432\u044b\u0432\u043e\u0434, \u0447\u0442\u043e \u043d\u0435 \u0432\u0441\u0435 \u0433\u0440\u0443\u043f\u043f\u044b \u0438\u043c\u0435\u044e\u0442 \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u0443\u044e \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u044e.<\/span><\/p>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0442\u0435\u0441\u0442\u0430 \u0411\u0430\u0440\u0442\u043b\u0435\u0442\u0442\u0430 \u0432 Python:<\/span><\/span><\/p>\n
 import<\/span> scipy. stats<\/span> as<\/span> stats\n\n#perform Bartlett's test \n<\/span>stats. bartlett<\/span> (A, B, C)\n\nBartlettResult(statistic=9.039674395, pvalue=0.010890796567)\n<\/strong><\/span><\/pre>\n
 \u0417\u043d\u0430\u0447\u0435\u043d\u0438\u0435 p ( 0,01089<\/strong> ) \u0442\u0435\u0441\u0442\u0430 \u0411\u0430\u0440\u0442\u043b\u0435\u0442\u0442\u0430 \u043c\u0435\u043d\u044c\u0448\u0435 \u03b1 = 0,05, \u0447\u0442\u043e \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442, \u0447\u0442\u043e \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u043e\u0442\u0432\u0435\u0440\u0433\u043d\u0443\u0442\u044c \u043d\u0443\u043b\u0435\u0432\u0443\u044e \u0433\u0438\u043f\u043e\u0442\u0435\u0437\u0443 \u043e \u0442\u043e\u043c, \u0447\u0442\u043e \u043a\u0430\u0436\u0434\u0430\u044f \u0433\u0440\u0443\u043f\u043f\u0430 \u0438\u043c\u0435\u0435\u0442 \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u0443\u044e \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u044e.<\/span><\/p>\n
 \u0422\u0430\u043a\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c, \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043e \u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u0435 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u0439 \u043d\u0430\u0440\u0443\u0448\u0430\u0435\u0442\u0441\u044f, \u0438 \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u043f\u0440\u0438\u0441\u0442\u0443\u043f\u0438\u0442\u044c \u043a \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u043e\u043c\u0443 \u0430\u043d\u0430\u043b\u0438\u0437\u0443 \u0423\u044d\u043b\u0447\u0430.<\/span><\/p>\n
 \u0428\u0430\u0433 3. \u0412\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430.<\/strong><\/span><\/h3>\n
 \u0427\u0442\u043e\u0431\u044b \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c ANOVA \u0423\u044d\u043b\u0447\u0430 \u0432 Python, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e welch_anova()<\/strong> \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 Penguin.<\/span><\/p>\n
 \u0421\u043d\u0430\u0447\u0430\u043b\u0430 \u043d\u0430\u043c \u043d\u0443\u0436\u043d\u043e \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c Penguin:<\/span><\/p>\n
 pip install<\/span> Penguin<\/span>\n<\/strong><\/pre>\n
 \u0417\u0430\u0442\u0435\u043c \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f ANOVA \u0423\u044d\u043b\u0447\u0430:<\/span><\/p>\n
 import penguin<\/span> as pg<\/span>\nimport<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' score<\/span> ': [64, 66, 68, 75, 78, 94, 98, 79, 71, 80,\n                             91, 92, 93, 90, 97, 94, 82, 88, 95, 96,\n                             79, 78, 88, 94, 92, 85, 83, 85, 82, 81],\n                   ' group<\/span> ': np. repeat<\/span> (['a', 'b', 'c'], repeats<\/span> = 10<\/span> )}) \n\n#perform Welch's ANOVA\n<\/span>pg. welch_anova<\/span> (dv=' score<\/span> ', between=' group<\/span> ', data=df)\n\n        Source ddof1 ddof2 F p-unc np2\n0 group 2 16.651295 9.717185 0.001598 0.399286\n<\/strong><\/pre>\n
 \u041e\u0431\u0449\u0435\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 p ( 0,001598<\/strong> ) \u0442\u0430\u0431\u043b\u0438\u0446\u044b ANOVA \u043c\u0435\u043d\u044c\u0448\u0435 \u03b1 = 0,05, \u0447\u0442\u043e \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442, \u0447\u0442\u043e \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u043e\u0442\u0432\u0435\u0440\u0433\u043d\u0443\u0442\u044c \u043d\u0443\u043b\u0435\u0432\u0443\u044e \u0433\u0438\u043f\u043e\u0442\u0435\u0437\u0443 \u043e \u0442\u043e\u043c, \u0447\u0442\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u0430 \u0440\u0430\u0432\u043d\u044b \u043c\u0435\u0436\u0434\u0443 \u0442\u0440\u0435\u043c\u044f \u043c\u0435\u0442\u043e\u0434\u0430\u043c\u0438 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f.<\/span><\/p>\n
 \u0417\u0430\u0442\u0435\u043c \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0430\u043f\u043e\u0441\u0442\u0435\u0440\u0438\u043e\u0440\u043d\u044b\u0439 \u0442\u0435\u0441\u0442 \u0413\u0435\u0439\u043c\u0441\u0430-\u0425\u0430\u0443\u044d\u043b\u043b\u0430, \u0447\u0442\u043e\u0431\u044b \u0442\u043e\u0447\u043d\u043e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u043a\u0430\u043a\u0438\u0435 \u0433\u0440\u0443\u043f\u043f\u043e\u0432\u044b\u0435 \u0441\u0440\u0435\u0434\u043d\u0438\u0435 \u043e\u0442\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f:<\/span><\/p>\n
 pg. pairwise_gameshowell<\/span> (dv=' score<\/span> ', between=' group<\/span> ', data=df)\n\n\n        A B mean(A) mean(B) diff se T df pval\t\n0 a b 77.3 91.8 -14.5 3.843754 -3.772354 11.6767 0.0072\n1 a c 77.3 84.7 -7.4 3.952777 -1.872102 12.7528 0.1864\n2 b c 91.8 84.7 7.1 2.179959 3.256942 17.4419 0.0119\n<\/strong><\/pre>\n
 \u0418\u0437 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 p \u043c\u044b \u0432\u0438\u0434\u0438\u043c, \u0447\u0442\u043e \u0441\u0440\u0435\u0434\u043d\u044f\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 \u0433\u0440\u0443\u043f\u043f\u0430\u043c\u0438 a<\/strong> \u0438 b<\/strong> \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0440\u0430\u0437\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f, \u0430 \u0441\u0440\u0435\u0434\u043d\u044f\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 \u0433\u0440\u0443\u043f\u043f\u0430\u043c\u0438 b<\/strong> \u0438 c<\/strong> \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0440\u0430\u0437\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f.<\/span><\/p>\n
 \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n
 \u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043e\u0434\u043d\u043e\u0444\u0430\u043a\u0442\u043e\u0440\u043d\u044b\u0439 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0432 Python<\/a>
 \u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0432\u0443\u0441\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0439 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0432 Python<\/a>
 \u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u044b\u0435 \u0438\u0437\u043c\u0435\u0440\u0435\u043d\u0438\u044f ANOVA \u0432 Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
ANOVA \u0423\u044d\u043b\u0447\u0430 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043e\u0439 \u0442\u0438\u043f\u0438\u0447\u043d\u043e\u043c\u0443 \u043e\u0434\u043d\u043e\u0444\u0430\u043a\u0442\u043e\u0440\u043d\u043e\u043c\u0443 ANOVA, \u043a\u043e\u0433\u0434\u0430 \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043e \u0440\u0430\u0432\u0435\u043d\u0441\u0442\u0432\u0435 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u0439 \u043d\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f. \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python. \u0428\u0430\u0433 1. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0427\u0442\u043e\u0431\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u043f\u0440\u0438\u0432\u043e\u0434\u044f\u0442 \u043b\u0438 \u0442\u0440\u0438 \u0440\u0430\u0437\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u0430 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043a \u0440\u0430\u0437\u043d\u044b\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u0430, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u043d\u0430\u0437\u043d\u0430\u0447\u0430\u0435\u0442 10 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 (\u043c\u0435\u0442\u043e\u0434 A, B \u0438\u043b\u0438 C) […]<\/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-1614","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\nANOVA \u0423\u044d\u043b\u0447\u0430 \u0432 Python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)<\/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 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440.\" \/>\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\/\u0443\u044d\u043b\u0447-\u0430\u043d\u043e\u0432\u0430-\u0432-python\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ANOVA \u0423\u044d\u043b\u0447\u0430 \u0432 Python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)\" \/>\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 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u0443\u044d\u043b\u0447-\u0430\u043d\u043e\u0432\u0430-\u0432-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T15:42:09+00:00\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u043c\u0438\u043d\u0443\u0442\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/\",\"url\":\"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/\",\"name\":\"ANOVA \u0423\u044d\u043b\u0447\u0430 \u0432 Python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ru\/#website\"},\"datePublished\":\"2023-07-25T15:42:09+00:00\",\"dateModified\":\"2023-07-25T15:42:09+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae\"},\"description\":\"\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 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/#breadcrumb\"},\"inLanguage\":\"ru-RU\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0414\u043e\u043c\",\"item\":\"https:\/\/statorials.org\/ru\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Anova \u0443\u044d\u043b\u0447\u0430 \u0432 python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/ru\/#website\",\"url\":\"https:\/\/statorials.org\/ru\/\",\"name\":\"Statorials\",\"description\":\"\u0412\u0430\u0448 \u043f\u0443\u0442\u0435\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c \u043f\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0433\u0440\u0430\u043c\u043e\u0442\u043d\u043e\u0441\u0442\u0438!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/ru\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"ru-RU\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae\",\"name\":\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ru-RU\",\"@id\":\"https:\/\/statorials.org\/ru\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\"},\"description\":\"\u0417\u0434\u0440\u0430\u0432\u0441\u0442\u0432\u0443\u0439\u0442\u0435, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0438\u0438, \u0441\u0442\u0430\u0432\u0448\u0438\u0439 \u043f\u0440\u0435\u0434\u0430\u043d\u043d\u044b\u043c \u043f\u0440\u0435\u043f\u043e\u0434\u0430\u0432\u0430\u0442\u0435\u043b\u0435\u043c Statorials. \u0418\u043c\u0435\u044f \u043e\u0431\u0448\u0438\u0440\u043d\u044b\u0439 \u043e\u043f\u044b\u0442 \u0438 \u0437\u043d\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0445\u043e\u0447\u0443 \u043f\u043e\u0434\u0435\u043b\u0438\u0442\u044c\u0441\u044f \u0441\u0432\u043e\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0441\u0448\u0438\u0440\u0438\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Statorials. \u0423\u0437\u043d\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u0435\",\"sameAs\":[\"https:\/\/statorials.org\/ru\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"ANOVA \u0423\u044d\u043b\u0447\u0430 \u0432 Python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)","description":"\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 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/ru\/\u0443\u044d\u043b\u0447-\u0430\u043d\u043e\u0432\u0430-\u0432-python\/","og_locale":"ru_RU","og_type":"article","og_title":"ANOVA \u0423\u044d\u043b\u0447\u0430 \u0432 Python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)","og_description":"\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 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440.","og_url":"https:\/\/statorials.org\/ru\/\u0443\u044d\u043b\u0447-\u0430\u043d\u043e\u0432\u0430-\u0432-python\/","og_site_name":"Statorials","article_published_time":"2023-07-25T15:42:09+00:00","author":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d","twitter_card":"summary_large_image","twitter_misc":{"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d","\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f":"1 \u043c\u0438\u043d\u0443\u0442\u0430"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/","url":"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/","name":"ANOVA \u0423\u044d\u043b\u0447\u0430 \u0432 Python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)","isPartOf":{"@id":"https:\/\/statorials.org\/ru\/#website"},"datePublished":"2023-07-25T15:42:09+00:00","dateModified":"2023-07-25T15:42:09+00:00","author":{"@id":"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae"},"description":"\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 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0423\u044d\u043b\u0447\u0430 \u0432 Python, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440.","breadcrumb":{"@id":"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/#breadcrumb"},"inLanguage":"ru-RU","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/ru\/%d1%83%d1%8d%d0%bb%d1%87-%d0%b0%d0%bd%d0%be%d0%b2%d0%b0-%d0%b2-python\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u0414\u043e\u043c","item":"https:\/\/statorials.org\/ru\/"},{"@type":"ListItem","position":2,"name":"Anova \u0443\u044d\u043b\u0447\u0430 \u0432 python (\u0448\u0430\u0433 \u0437\u0430 \u0448\u0430\u0433\u043e\u043c)"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/ru\/#website","url":"https:\/\/statorials.org\/ru\/","name":"Statorials","description":"\u0412\u0430\u0448 \u043f\u0443\u0442\u0435\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c \u043f\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0433\u0440\u0430\u043c\u043e\u0442\u043d\u043e\u0441\u0442\u0438!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/ru\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"ru-RU"},{"@type":"Person","@id":"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae","name":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d","image":{"@type":"ImageObject","inLanguage":"ru-RU","@id":"https:\/\/statorials.org\/ru\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d"},"description":"\u0417\u0434\u0440\u0430\u0432\u0441\u0442\u0432\u0443\u0439\u0442\u0435, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0438\u0438, \u0441\u0442\u0430\u0432\u0448\u0438\u0439 \u043f\u0440\u0435\u0434\u0430\u043d\u043d\u044b\u043c \u043f\u0440\u0435\u043f\u043e\u0434\u0430\u0432\u0430\u0442\u0435\u043b\u0435\u043c Statorials. \u0418\u043c\u0435\u044f \u043e\u0431\u0448\u0438\u0440\u043d\u044b\u0439 \u043e\u043f\u044b\u0442 \u0438 \u0437\u043d\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0445\u043e\u0447\u0443 \u043f\u043e\u0434\u0435\u043b\u0438\u0442\u044c\u0441\u044f \u0441\u0432\u043e\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0441\u0448\u0438\u0440\u0438\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Statorials. \u0423\u0437\u043d\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u0435","sameAs":["https:\/\/statorials.org\/ru"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/posts\/1614","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/comments?post=1614"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/posts\/1614\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/media?parent=1614"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/categories?post=1614"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/tags?post=1614"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}