{"id":1941,"date":"2023-07-24T08:48:28","date_gmt":"2023-07-24T08:48:28","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2-%d0%b3%d0%be%d0%bb%d0%be%d0%b2%d1%96\/"},"modified":"2023-07-24T08:48:28","modified_gmt":"2023-07-24T08:48:28","slug":"%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2-%d0%b3%d0%be%d0%bb%d0%be%d0%b2%d1%96","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%b8%d1%85-%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b2-%d0%b3%d0%be%d0%bb%d0%be%d0%b2%d1%96\/","title":{"rendered":"\u042f\u043a \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0434\u043e pandas dataframe (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"},"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\u0430\u0442\u0438 \u043e\u0434\u0438\u043d \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u0442\u0440\u044c\u043e\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0434\u043e pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add header row when creating DataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data=[data_values],\n                  columns=[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> '])\n\n<span style=\"color: #008080;\">#add header row after creating DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data=[data_values])\ndf. <span style=\"color: #3366ff;\">columns<\/span> = [' <span style=\"color: #ff0000;\">A<\/span> ', ' <span style=\"color: #ff0000;\">B<\/span> ', ' <span style=\"color: #ff0000;\">C<\/span> ']\n\n<span style=\"color: #008080;\">#add header row when importing CSV\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (' <span style=\"color: #ff0000;\">data.csv<\/span> ', names=[' <span style=\"color: #ff0000;\">A<\/span> ',' <span style=\"color: #ff0000;\">B<\/span> ',' <span style=\"color: #ff0000;\">C<\/span> '])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u0456\u0437 \u0446\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0434\u043e\u0434\u0430\u0439\u0442\u0435 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f 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 \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f 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;\">#add header row when creating DataFrame<\/span> \ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data=np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (0, 100, (10, 3)),\n                  columns =[' <span style=\"color: #ff0000;\">A<\/span> ',' <span style=\"color: #ff0000;\">B<\/span> ',' <span style=\"color: #ff0000;\">C<\/span> '])\n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n\tA B C\n0 81 47 82\n1 92 71 88\n2 61 79 96\n3 56 22 68\n4 64 66 41\n5 98 49 83\n6 70 94 11\n7 1 6 11\n8 55 87 39\n9 15 58 67<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0434\u043e\u0434\u0430\u0439\u0442\u0435 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043f\u0456\u0441\u043b\u044f \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f 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 \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 <em>\u043f\u0456\u0441\u043b\u044f<\/em> \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f 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;\">#createDataFrame<\/span>\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data=np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (0, 100, (10, 3))) \n<\/span>\n<span style=\"color: #008080;\">#add header row to DataFrame\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">columns<\/span> = [' <span style=\"color: #ff0000;\">A<\/span> ', ' <span style=\"color: #ff0000;\">B<\/span> ', ' <span style=\"color: #ff0000;\">C<\/span> ']\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tA B C\n0 81 47 82\n1 92 71 88\n2 61 79 96\n3 56 22 68\n4 64 66 41\n5 98 49 83\n6 70 94 11\n7 1 6 11\n8 55 87 39\n9 15 58 67\n<\/span><\/span><\/strong><\/pre>\n<h3> <strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0434\u043e\u0434\u0430\u0439\u0442\u0435 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443 DataFrame<\/strong><\/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 \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0443 <strong>names<\/strong> \u043f\u0456\u0434 \u0447\u0430\u0441 \u0456\u043c\u043f\u043e\u0440\u0442\u0443 pandas DataFrame \u0456\u0437 \u0444\u0430\u0439\u043b\u0443 CSV:<\/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;\">#import CSV file and specify header row names\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (' <span style=\"color: #ff0000;\">data.csv<\/span> ', names=[' <span style=\"color: #ff0000;\">A<\/span> ',' <span style=\"color: #ff0000;\">B<\/span> ',' <span style=\"color: #ff0000;\">C<\/span> '])\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tA B C\n0 81 47 82\n1 92 71 88\n2 61 79 96\n3 56 22 68\n4 64 66 41\n5 98 49 83\n6 70 94 11\n7 1 6 11\n8 55 87 39\n9 15 58 67<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u043e\u0432\u2019\u044f\u0437\u0430\u043d\u0435:<\/strong> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0447\u0438\u0442\u0430\u044e\u0442\u044c-csv\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0447\u0438\u0442\u0430\u0442\u0438 \u0444\u0430\u0439\u043b\u0438 CSV \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e Pandas<\/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> <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><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0434\u043e\u0434\u0430\u0442\u0438-\u043c\u0430\u0441\u0438\u0432-numpy-\u0434\u043e-\u0444\u0440\u0435\u0438\u043c\u0443-\u0434\u0430\u043d\u0438\u0445-pandas\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0434\u043e\u0434\u0430\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 Numpy \u0434\u043e Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0440\u044f\u0434\u043a\u0456\u0432 \u0443 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\u0430\u0442\u0438 \u043e\u0434\u0438\u043d \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u0442\u0440\u044c\u043e\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0434\u043e pandas DataFrame: #add header row when creating DataFrame df = pd. DataFrame (data=[data_values], columns=[&#8216; col1 &#8216;, &#8216; col2 &#8216;, &#8216; col3 &#8216;]) #add header row after creating DataFrame df = pd. DataFrame (data=[data_values]) df. columns = [&#8216; A &#8216;, &#8216; B [&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 \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0434\u043e Pandas DataFrame (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0441\u0442\u0430\u0442\u0442\u0456<\/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 \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0434\u043e 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\/\u0444\u0440\u0435\u0438\u043c-\u0434\u0430\u043d\u0438\u0445-\u043f\u0430\u043d\u0434\u0438-\u0432-\u0433\u043e\u043b\u043e\u0432\u0456\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u0434\u043e\u0434\u0430\u0442\u0438 \u0440\u044f\u0434\u043e\u043a \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u0430 \u0434\u043e Pandas DataFrame (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0441\u0442\u0430\u0442\u0442\u0456\" \/>\n<meta property=\"og:description\" content=\"\u0426\u0435\u0439 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