{"id":3201,"date":"2023-07-18T17:14:14","date_gmt":"2023-07-18T17:14:14","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d1%83%d1%81%d1%82%d0%b0%d1%8f-%d1%81%d0%bb%d1%83%d1%87%d0%b0%d0%b8%d0%bd%d0%b0%d1%8f-%d0%bc%d0%b0%d1%82%d1%80%d0%b8%d1%86%d0%b0\/"},"modified":"2023-07-18T17:14:14","modified_gmt":"2023-07-18T17:14:14","slug":"%d0%bf%d1%83%d1%81%d1%82%d0%b0%d1%8f-%d1%81%d0%bb%d1%83%d1%87%d0%b0%d0%b8%d0%bd%d0%b0%d1%8f-%d0%bc%d0%b0%d1%82%d1%80%d0%b8%d1%86%d0%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d1%83%d1%81%d1%82%d0%b0%d1%8f-%d1%81%d0%bb%d1%83%d1%87%d0%b0%d0%b8%d0%bd%d0%b0%d1%8f-%d0%bc%d0%b0%d1%82%d1%80%d0%b8%d1%86%d0%b0\/","title":{"rendered":"\u041a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043c\u0430\u0442\u0440\u0438\u0446\u0443 numpy \u0441\u043e \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c\u0438 \u0447\u0438\u0441\u043b\u0430\u043c\u0438"},"content":{"rendered":"

<\/p>\n

\n

\u0412\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\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043c\u0430\u0442\u0440\u0438\u0446\u044b NumPy \u0441\u043e \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c\u0438 \u0447\u0438\u0441\u043b\u0430\u043c\u0438:<\/span><\/p>\n

\u0421\u043f\u043e\u0441\u043e\u0431 1. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0438\u0437 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0445 \u0446\u0435\u043b\u044b\u0445 \u0447\u0438\u0441\u0435\u043b.<\/strong><\/span><\/p>\n

 n.p. random<\/span> . randint<\/span> (low, high, (rows, columns))\n<\/strong><\/pre>\n
 \u041c\u0435\u0442\u043e\u0434 2. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0438\u0437 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0445 \u0447\u0438\u0441\u0435\u043b \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439<\/strong><\/span><\/p>\n
 n.p. random<\/span> . rand<\/span> (rows, columns)<\/strong><\/pre>\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 \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0438\u0437 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0445 \u0446\u0435\u043b\u044b\u0445 \u0447\u0438\u0441\u0435\u043b.<\/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 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d\u0435 \u043e\u0442 0<\/strong> \u0434\u043e 20<\/strong> , \u0438\u043c\u0435\u044e\u0449\u0443\u044e \u0444\u043e\u0440\u043c\u0443 \u0438\u0437 7 \u0441\u0442\u0440\u043e\u043a<\/strong> \u0438 2 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432<\/strong> :<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#create NumPy matrix of random integers\n<\/span>n.p. random<\/span> . randint<\/span> (0, 20, (7, 2))\n\narray([[ 3, 7],\n       [17, 10],\n       [0, 10],\n       [13, 16],\n       [6, 14],\n       [8, 7],\n       [9, 15]])<\/span><\/span><\/strong><\/pre>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043a\u0430\u0436\u0434\u043e\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432 \u043c\u0430\u0442\u0440\u0438\u0446\u0435 \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d\u0435 \u043e\u0442 0 \u0434\u043e 20, \u0430 \u043e\u043a\u043e\u043d\u0447\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0432\u0438\u0434 \u043c\u0430\u0442\u0440\u0438\u0446\u044b \u2014 7 \u0441\u0442\u0440\u043e\u043a \u0438 2 \u0441\u0442\u043e\u043b\u0431\u0446\u0430.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2.<\/strong><\/span> \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0441\u043e \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c\u0438 \u0447\u0438\u0441\u043b\u0430\u043c\u0438 \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439.<\/strong><\/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 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0441\u043e \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438 \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439 \u0442\u043e\u0447\u043a\u043e\u0439 \u043e\u0442 0<\/strong> \u0434\u043e 1<\/strong> \u0438 \u0444\u043e\u0440\u043c\u043e\u0439 \u0438\u0437 7<\/strong> \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0438 2<\/strong> \u0441\u0442\u0440\u043e\u043a:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#create NumPy matrix of random floats\n<\/span>n.p. random<\/span> . rand<\/span> (7, 2)\n\narray([[0.64987774, 0.60099292],\n       [0.13626106, 0.1859029 ],\n       [0.77007972, 0.65179164],\n       [0.33524707, 0.46201819],\n       [0.1683, 0.72960909],\n       [0.76117417, 0.37212974],\n       [0.18879731, 0.65723325]])\n<\/span><\/span><\/strong><\/pre>\n
 \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u043c \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043c\u0430\u0442\u0440\u0438\u0446\u0430 NumPy, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0430\u044f \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439 \u043e\u0442 0 \u0434\u043e 1, \u0438\u043c\u0435\u044e\u0449\u0430\u044f \u0444\u043e\u0440\u043c\u0443 \u0438\u0437 7 \u0441\u0442\u0440\u043e\u043a \u0438 2 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432.<\/span><\/p>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0432\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e NumPy round()<\/strong> \u0434\u043b\u044f \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0447\u0438\u0441\u043b\u0430 \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439 \u0434\u043e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0430 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0445 \u0437\u043d\u0430\u043a\u043e\u0432.<\/span><\/p>\n
 \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0438\u0437 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0445 \u0447\u0438\u0441\u0435\u043b \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439, \u043a\u0430\u0436\u0434\u043e\u0435 \u0438\u0437 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043e\u043a\u0440\u0443\u0433\u043b\u044f\u0435\u0442\u0441\u044f \u0434\u043e \u0434\u0432\u0443\u0445 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0445 \u0437\u043d\u0430\u043a\u043e\u0432:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#create NumPy matrix of random floats rounded to 2 decimal places\n<\/span>n.p. round<\/span> (np. random<\/span> . rand<\/span> (5, 2), 2)\n\narray([[0.37, 0.63],\n       [0.51, 0.68],\n       [0.23, 0.98],\n       [0.62, 0.46],\n       [0.02, 0.94]])\n<\/span><\/span><\/strong><\/pre>\n
 \u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435<\/strong> . \u041f\u043e\u043b\u043d\u0443\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e \u043f\u043e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 NumPy rand()<\/strong> \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0437\u0434\u0435\u0441\u044c<\/a> .<\/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
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0432 Python:<\/span><\/p>\n
 \u041a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0446\u044b Pandas DataFrame \u0432 \u0441\u0442\u0440\u043e\u043a\u0438<\/a>
 \u041a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u0443\u044e \u043c\u0435\u0442\u043a\u0443 \u0432 \u0434\u0430\u0442\u0443\/\u0432\u0440\u0435\u043c\u044f \u0432 Pandas<\/a>
 \u041a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c DateTime \u0432 \u0434\u0430\u0442\u0443 \u0432 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\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\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043c\u0430\u0442\u0440\u0438\u0446\u044b NumPy \u0441\u043e \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c\u0438 \u0447\u0438\u0441\u043b\u0430\u043c\u0438: \u0421\u043f\u043e\u0441\u043e\u0431 1. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0438\u0437 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0445 \u0446\u0435\u043b\u044b\u0445 \u0447\u0438\u0441\u0435\u043b. n.p. random . randint (low, high, (rows, columns)) \u041c\u0435\u0442\u043e\u0434 2. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0438\u0437 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0445 \u0447\u0438\u0441\u0435\u043b \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439 n.p. random . rand (rows, columns) \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 \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435. […]<\/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-3201","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043c\u0430\u0442\u0440\u0438\u0446\u0443 NumPy \u0441\u043e \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c\u0438 \u0447\u0438\u0441\u043b\u0430\u043c\u0438 \u2013 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0430<\/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 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c NumPy \u0434\u043b\u044f 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