{"id":1514,"date":"2023-07-26T01:35:25","date_gmt":"2023-07-26T01:35:25","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%81%d0%bf%d0%b8%d1%81%d0%be%d0%ba-%d0%b4%d0%be-%d1%84%d1%80%d0%b5%d0%b8%d0%bc%d1%83-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-python\/"},"modified":"2023-07-26T01:35:25","modified_gmt":"2023-07-26T01:35:25","slug":"%d1%81%d0%bf%d0%b8%d1%81%d0%be%d0%ba-%d0%b4%d0%be-%d1%84%d1%80%d0%b5%d0%b8%d0%bc%d1%83-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%81%d0%bf%d0%b8%d1%81%d0%be%d0%ba-%d0%b4%d0%be-%d1%84%d1%80%d0%b5%d0%b8%d0%bc%d1%83-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-python\/","title":{"rendered":"\u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0438\u0441\u043e\u043a \u043d\u0430 dataframe \u0443 python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435 \u0437\u043d\u0430\u0434\u043e\u0431\u0438\u0442\u0438\u0441\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0438\u0441\u043e\u043a \u043d\u0430 DataFrame \u0443 Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0446\u0435 \u043b\u0435\u0433\u043a\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.html\" target=\"_blank\" rel=\"noopener\">pandas.DataFrame<\/a> , \u044f\u043a\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>pandas.DataFrame(data=None, index=None, columns=None, \u2026)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0437\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0434\u0430\u043d\u0456:<\/strong> \u0434\u0430\u043d\u0456 \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0432 DataFrame<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>index:<\/strong> \u0456\u043d\u0434\u0435\u043a\u0441 \u0434\u043b\u044f \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0434\u043b\u044f \u043a\u0456\u043d\u0446\u0435\u0432\u043e\u0433\u043e DataFrame<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0441\u0442\u043e\u0432\u043f\u0446\u0456:<\/strong> \u043c\u0456\u0442\u043a\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432, \u044f\u043a\u0456 \u0431\u0443\u0434\u0443\u0442\u044c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u0456 \u0434\u043b\u044f \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0443\u044e\u0447\u043e\u0433\u043e DataFrame<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u043e\u0433\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0456\u0454\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u043f\u0438\u0441\u043a\u0443 \u043d\u0430 DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0438\u0441\u043e\u043a \u043d\u0430 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create list that contains points scored by 10 basketball players<\/span>\ndata = [4, 14, 17, 22, 26, 29, 33, 35, 35, 38]\n\n<span style=\"color: #008080;\">#convert list to DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=[' <span style=\"color: #008000;\">points<\/span> '])\n\n<span style=\"color: #008080;\">#view resulting DataFrame<\/span>\n<span style=\"color: #993300;\">print<\/span> (df)\n\n       points\n0 4\n1 14\n2 17\n3 22\n4 26\n5 29\n6 33\n7 35<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u0441\u043f\u0438\u0441\u043a\u0456\u0432 \u0443 DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u0441\u043f\u0438\u0441\u043a\u0456\u0432 \u0443 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define lists\n<\/span><span style=\"color: #000000;\">points = [4, 14, 17, 22, 26, 29, 33, 35, 35, 38]\nrebounds = [1, 4, 4, 5, 8, 7, 5, 6, 9, 11]\n\n<span style=\"color: #008080;\">#convert lists into a single list\n<\/span>data = []\ndata. <span style=\"color: #3366ff;\">append<\/span> (dots)\ndata. <span style=\"color: #3366ff;\">append<\/span> (rebounds)\n\n<span style=\"color: #008000;\"><span style=\"color: #008080;\">#view new list<\/span>\n<span style=\"color: #000000;\">data<\/span>\n\n<span style=\"color: #000000;\">[[4, 14, 17, 22, 26, 29, 33, 35, 35, 38], [1, 4, 4, 5, 8, 7, 5, 6, 9, 11]]<\/span>\n<\/span>\n<span style=\"color: #008080;\">#convert list into DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data). <span style=\"color: #3366ff;\">transpose<\/span> ()\ndf. <span style=\"color: #3366ff;\">columns<\/span> =[' <span style=\"color: #008000;\">points<\/span> ', ' <span style=\"color: #008000;\">rebounds<\/span> ']\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span>df\n\n       rebound points\n0 4 1\n1 14 4\n2 17 4\n3 22 5\n4 26 8\n5 29 7\n6 33 5\n7 35 6\n8 35 9\n9 38 11\n<\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u043f\u0438\u0441\u043a\u0443 \u0441\u043f\u0438\u0441\u043a\u0456\u0432 \u0443 DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0438\u0441\u043e\u043a \u0441\u043f\u0438\u0441\u043a\u0456\u0432 \u0443 DataFrame pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define list of lists\n<\/span><span style=\"color: #000000;\">data = [[4, 1], [14, 4], [17, 4], [22, 5], [26, 8],\n        [29, 7], [33, 5], [35, 6], [35, 9], [38,11]]\n\n<span style=\"color: #008080;\">#convert list into DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=[' <span style=\"color: #008000;\">points<\/span> ', ' <span style=\"color: #008000;\">rebounds<\/span> '])\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span>df\n\n       rebound points\n0 4 1\n1 14 4\n2 17 4\n3 22 5\n4 26 8\n5 29 7\n6 33 5\n7 35 6\n8 35 9\n9 38 11<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434, \u0449\u043e\u0431 \u0448\u0432\u0438\u0434\u043a\u043e \u043f\u0435\u0440\u0435\u0432\u0456\u0440\u0438\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0440\u044f\u0434\u043a\u0456\u0432 \u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0443 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0443\u044e\u0447\u043e\u043c\u0443 DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #107d3f;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#display number of rows and columns in DataFrame<\/span>\ndf.<\/span> <span style=\"color: #3366ff;\">shape\n<\/span><\/span><\/span>\n(10, 2)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e \u043e\u0442\u0440\u0438\u043c\u0430\u043d\u0438\u0439 DataFrame \u043c\u0430\u0454 <strong>10<\/strong> \u0440\u044f\u0434\u043a\u0456\u0432 \u0456 <strong>2<\/strong> \u0441\u0442\u043e\u0432\u043f\u0446\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0406 \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u043a\u043e\u0434, \u0449\u043e\u0431 \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u043d\u0430\u0437\u0432\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0443 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0443\u044e\u0447\u043e\u043c\u0443 DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#display column names of DataFrame<\/span>\nlist(df)\n<\/span>\n['points', 'rebounds']\n<\/strong><\/pre>\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 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0432 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 DataFrame \u043d\u0430 \u0441\u043f\u0438\u0441\u043e\u043a \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043a\u043e\u043d\u0432\u0435\u0440\u0442\u0443\u0432\u0430\u0442\u0438 \u0441\u043b\u043e\u0432\u043d\u0438\u043a \u0443 DataFrame \u0443 Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438-\u0440\u044f\u0434\u043e\u043a-\u043d\u0430-\u043f\u043b\u0430\u0432\u0430\u044e\u0447\u0438\u0445-\u043f\u0430\u043d\u0434\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u043d\u0430 float \u0443 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435 \u0437\u043d\u0430\u0434\u043e\u0431\u0438\u0442\u0438\u0441\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0438\u0441\u043e\u043a \u043d\u0430 DataFrame \u0443 Python. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0446\u0435 \u043b\u0435\u0433\u043a\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 pandas.DataFrame , \u044f\u043a\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: pandas.DataFrame(data=None, index=None, columns=None, \u2026) \u0437\u043e\u043b\u043e\u0442\u043e: \u0434\u0430\u043d\u0456: \u0434\u0430\u043d\u0456 \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0432 DataFrame index: \u0456\u043d\u0434\u0435\u043a\u0441 \u0434\u043b\u044f \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0434\u043b\u044f \u043a\u0456\u043d\u0446\u0435\u0432\u043e\u0433\u043e DataFrame \u0441\u0442\u043e\u0432\u043f\u0446\u0456: \u043c\u0456\u0442\u043a\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432, \u044f\u043a\u0456 \u0431\u0443\u0434\u0443\u0442\u044c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u0456 \u0434\u043b\u044f \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0443\u044e\u0447\u043e\u0433\u043e DataFrame \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043a\u0456\u043b\u044c\u043a\u0430 [&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 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0438\u0441\u043e\u043a \u043d\u0430 DataFrame \u0443 Python - 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 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0438\u0441\u043e\u043a \u043d\u0430 DataFrame \u0443 Python, \u0456\u0437 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\n<meta name=\"robots\" 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