{"id":2400,"date":"2023-07-22T10:29:07","date_gmt":"2023-07-22T10:29:07","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/"},"modified":"2023-07-22T10:29:07","modified_gmt":"2023-07-22T10:29:07","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/","title":{"rendered":"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 \u043f\u0435\u0432\u043d\u0435 \u043c\u0456\u0441\u0446\u0435 \u0432 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#insert row with values [1, 7, 6] into existing DataFrame at index=4<\/span>\np.d. <span style=\"color: #3366ff;\">DataFrame<\/span> ( <span style=\"color: #3366ff;\">np.insert<\/span> ( <span style=\"color: #3366ff;\">df.values<\/span> ,4,values=[1,7,6],axis= <span style=\"color: #008000;\">0<\/span> ))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u0437 \u0442\u0430\u043a\u0438\u043c\u0438 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'B', 'B', 'C'],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        team assists rebounds\n0 to 5 11\n1 to 7 8\n2 B 7 10\n3 B 9 6\n4 C 12 6\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0432\u0441\u0442\u0430\u0432\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043f\u0435\u0440\u0448\u0438\u0439 \u0440\u044f\u0434\u043e\u043a Pandas DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0443 \u043f\u0435\u0440\u0448\u0438\u0439 \u0440\u044f\u0434\u043e\u043a pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#insert values into first row of DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (np. <span style=\"color: #3366ff;\">insert<\/span> (df. <span style=\"color: #3366ff;\">values<\/span> , 0, values=['A', 3, 4], axis= <span style=\"color: #008000;\">0<\/span> ))\n\n<span style=\"color: #008080;\">#define column names of DataFrame\n<\/span>df2. <span style=\"color: #3366ff;\">columns<\/span> = df. <span style=\"color: #3366ff;\">columns<\/span>\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df2\n\n\tteam assists rebounds\n0 to 3 4\n1 to 5 11\n2 to 7 8\n3 B 7 10\n4 B 9 6\n5 C 12 6<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0432\u0441\u0442\u0430\u0432\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043f\u0435\u0432\u043d\u0438\u0439 \u0440\u044f\u0434\u043e\u043a Pandas DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0443 \u043f\u0435\u0432\u043d\u0438\u0439 \u0440\u044f\u0434\u043e\u043a pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#insert values into third row (index position=2) of DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (np. <span style=\"color: #3366ff;\">insert<\/span> (df. <span style=\"color: #3366ff;\">values<\/span> , 2, values=['A', 3, 4], axis= <span style=\"color: #008000;\">0<\/span> ))\n\n<span style=\"color: #008080;\">#define column names of DataFrame\n<\/span>df2. <span style=\"color: #3366ff;\">columns<\/span> = df. <span style=\"color: #3366ff;\">columns<\/span>\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df2\n\n        team assists rebounds\n0 to 5 11\n1 to 7 8\n2 to 3 4\n3 B 7 10\n4 B 9 6\n5 C 12 6<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0432\u0441\u0442\u0430\u0432\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043e\u0441\u0442\u0430\u043d\u043d\u0456\u0439 \u0440\u044f\u0434\u043e\u043a Pandas DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0432 \u043e\u0441\u0442\u0430\u043d\u043d\u0456\u0439 \u0440\u044f\u0434\u043e\u043a pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#insert values into last row of DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (np. <span style=\"color: #3366ff;\">insert<\/span> (df. <span style=\"color: #3366ff;\">values<\/span> , <span style=\"color: #008000;\">len<\/span> (df. <span style=\"color: #3366ff;\">index<\/span> ), values=['A', 3, 4], axis= <span style=\"color: #008000;\">0<\/span> ))\n\n<span style=\"color: #008080;\">#define column names of DataFrame\n<\/span>df2. <span style=\"color: #3366ff;\">columns<\/span> = df. <span style=\"color: #3366ff;\">columns<\/span>\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df2\n\n\tteam assists rebounds\n0 to 5 11\n1 to 7 8\n2 B 7 10\n3 B 9 6\n4 C 12 6\n5 A 3 4<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> . \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0434\u043b\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u0457 NumPy <strong>insert()<\/strong> <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.insert.html\" target=\"_blank\" rel=\"noopener\">\u0442\u0443\u0442<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0432 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/\u0432\u0441\u0442\u0430\u0432\u0442\u0435-\u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c-\u0444\u0440\u0435\u0438\u043c\u0443-\u0434\u0430\u043d\u0438\u0445-pandas\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0443 Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0434\u043e\u0434\u0430\u044e\u0442\u044c-\u0440\u044f\u0434\u043e\u043a-\u0434\u043e-\u043a\u0430\u0434\u0440\u0443-\u0434\u0430\u043d\u0438\u0445\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u0434\u043e Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 \u043f\u0435\u0432\u043d\u0435 \u043c\u0456\u0441\u0446\u0435 \u0432 pandas DataFrame: import pandas as pd import numpy as np #insert row with values [1, 7, 6] into existing DataFrame at index=4 p.d. DataFrame ( np.insert ( df.values ,4,values=[1,7,6],axis= 0 )) \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u0437 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 DataFrame Pandas \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas DataFrame, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\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\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438-\u0440\u044f\u0434\u043e\u043a\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 DataFrame Pandas \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas DataFrame, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438-\u0440\u044f\u0434\u043e\u043a\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T10:29:07+00:00\" \/>\n<meta name=\"author\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/\",\"url\":\"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/\",\"name\":\"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 DataFrame Pandas \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/uk\/#website\"},\"datePublished\":\"2023-07-22T10:29:07+00:00\",\"dateModified\":\"2023-07-22T10:29:07+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a\"},\"description\":\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas DataFrame, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/#breadcrumb\"},\"inLanguage\":\"uk\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0434\u043e\u0434\u043e\u043c\u0443\",\"item\":\"https:\/\/statorials.org\/uk\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas dataframe\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/uk\/#website\",\"url\":\"https:\/\/statorials.org\/uk\/\",\"name\":\"Statorials\",\"description\":\"\u0412\u0430\u0448 \u043f\u0443\u0442\u0456\u0432\u043d\u0438\u043a \u0434\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u043a\u043e\u043c\u043f\u0435\u0442\u0435\u043d\u0442\u043d\u043e\u0441\u0442\u0456!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/uk\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"uk\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a\",\"name\":\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"uk\",\"@id\":\"https:\/\/statorials.org\/uk\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\"},\"description\":\"\u041f\u0440\u0438\u0432\u0456\u0442, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0456\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0456\u0457, \u044f\u043a\u0438\u0439 \u0441\u0442\u0430\u0432 \u0432\u0438\u043a\u043b\u0430\u0434\u0430\u0447\u0435\u043c \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438. \u041c\u0430\u044e\u0447\u0438 \u0432\u0435\u043b\u0438\u043a\u0438\u0439 \u0434\u043e\u0441\u0432\u0456\u0434 \u0456 \u0437\u043d\u0430\u043d\u043d\u044f \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0433\u043e\u0442\u043e\u0432\u0438\u0439 \u043f\u043e\u0434\u0456\u043b\u0438\u0442\u0438\u0441\u044f \u0441\u0432\u043e\u0457\u043c\u0438 \u0437\u043d\u0430\u043d\u043d\u044f\u043c\u0438, \u0449\u043e\u0431 \u0440\u043e\u0437\u0448\u0438\u0440\u0438\u0442\u0438 \u043c\u043e\u0436\u043b\u0438\u0432\u043e\u0441\u0442\u0456 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0456\u0432 \u0447\u0435\u0440\u0435\u0437 Statorials. \u0414\u0456\u0437\u043d\u0430\u0439\u0442\u0435\u0441\u044f \u0431\u0456\u043b\u044c\u0448\u0435\",\"sameAs\":[\"http:\/\/statorials.org\/uk\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 DataFrame Pandas \u2013 Statorials","description":"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas DataFrame, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.","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\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438-\u0440\u044f\u0434\u043e\u043a\/","og_locale":"uk_UA","og_type":"article","og_title":"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 DataFrame Pandas \u2013 Statorials","og_description":"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas DataFrame, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.","og_url":"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438-\u0440\u044f\u0434\u043e\u043a\/","og_site_name":"Statorials","article_published_time":"2023-07-22T10:29:07+00:00","author":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f","twitter_card":"summary_large_image","twitter_misc":{"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f","\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f":"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/","url":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/","name":"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 DataFrame Pandas \u2013 Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/uk\/#website"},"datePublished":"2023-07-22T10:29:07+00:00","dateModified":"2023-07-22T10:29:07+00:00","author":{"@id":"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a"},"description":"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas DataFrame, \u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.","breadcrumb":{"@id":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/#breadcrumb"},"inLanguage":"uk","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2%d1%81%d1%82%d0%b0%d0%b2%d0%b8%d1%82%d0%b8-%d1%80%d1%8f%d0%b4%d0%be%d0%ba\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u0434\u043e\u0434\u043e\u043c\u0443","item":"https:\/\/statorials.org\/uk\/"},{"@type":"ListItem","position":2,"name":"\u042f\u043a \u0432\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0443 pandas dataframe"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/uk\/#website","url":"https:\/\/statorials.org\/uk\/","name":"Statorials","description":"\u0412\u0430\u0448 \u043f\u0443\u0442\u0456\u0432\u043d\u0438\u043a \u0434\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u043a\u043e\u043c\u043f\u0435\u0442\u0435\u043d\u0442\u043d\u043e\u0441\u0442\u0456!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/uk\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"uk"},{"@type":"Person","@id":"https:\/\/statorials.org\/uk\/#\/schema\/person\/2affa1a5da08a4b61ab4becd078c191a","name":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f","image":{"@type":"ImageObject","inLanguage":"uk","@id":"https:\/\/statorials.org\/uk\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/uk\/wp-content\/uploads\/2023\/11\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f"},"description":"\u041f\u0440\u0438\u0432\u0456\u0442, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0456\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0456\u0457, \u044f\u043a\u0438\u0439 \u0441\u0442\u0430\u0432 \u0432\u0438\u043a\u043b\u0430\u0434\u0430\u0447\u0435\u043c \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438. \u041c\u0430\u044e\u0447\u0438 \u0432\u0435\u043b\u0438\u043a\u0438\u0439 \u0434\u043e\u0441\u0432\u0456\u0434 \u0456 \u0437\u043d\u0430\u043d\u043d\u044f \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0433\u043e\u0442\u043e\u0432\u0438\u0439 \u043f\u043e\u0434\u0456\u043b\u0438\u0442\u0438\u0441\u044f \u0441\u0432\u043e\u0457\u043c\u0438 \u0437\u043d\u0430\u043d\u043d\u044f\u043c\u0438, \u0449\u043e\u0431 \u0440\u043e\u0437\u0448\u0438\u0440\u0438\u0442\u0438 \u043c\u043e\u0436\u043b\u0438\u0432\u043e\u0441\u0442\u0456 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0456\u0432 \u0447\u0435\u0440\u0435\u0437 Statorials. \u0414\u0456\u0437\u043d\u0430\u0439\u0442\u0435\u0441\u044f \u0431\u0456\u043b\u044c\u0448\u0435","sameAs":["http:\/\/statorials.org\/uk"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/posts\/2400"}],"collection":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/comments?post=2400"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/posts\/2400\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/media?parent=2400"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/categories?post=2400"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/uk\/wp-json\/wp\/v2\/tags?post=2400"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}