{"id":3607,"date":"2023-07-16T13:54:35","date_gmt":"2023-07-16T13:54:35","guid":{"rendered":"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/"},"modified":"2023-07-16T13:54:35","modified_gmt":"2023-07-16T13:54:35","slug":"kolumny-plasterkow-pand","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/","title":{"rendered":"Jak podzieli\u0107 kolumny w ramce danych pandas (z przyk\u0142adami)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Do dzielenia kolumn w ramce DataFrame pandy mo\u017cna u\u017cy\u0107 nast\u0119puj\u0105cych metod:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 1: Wycinek wed\u0142ug okre\u015blonych nazw kolumn<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">loc<\/span> [:,[' <span style=\"color: #ff0000;\">col1<\/span> ',' <span style=\"color: #ff0000;\">col4<\/span> ']]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 2: Przekr\u00f3j wed\u0142ug nazw kolumn w zakresie<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">loc<\/span> [:, ' <span style=\"color: #ff0000;\">col1<\/span> ':' <span style=\"color: #ff0000;\">col4<\/span> ']<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 3: Ci\u0119cie wed\u0142ug okre\u015blonych pozycji indeksu kolumny<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:,[ <span style=\"color: #000000;\"><span style=\"color: #008000;\">0,3<\/span> <span style=\"color: #008000;\">]<\/span> ]<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 4: Pokr\u00f3j wed\u0142ug zakresu pozycji indeksu kolumn<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:, <span style=\"color: #000000;\"><span style=\"color: #008000;\">0<\/span> : <span style=\"color: #008000;\">3<\/span> ]<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Zwr\u00f3\u0107 uwag\u0119 na subteln\u0105 r\u00f3\u017cnic\u0119 mi\u0119dzy <strong>loc<\/strong> i <strong>iloc<\/strong> w ka\u017cdej z tych metod:<\/span><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>loc<\/strong> wybiera wiersze i kolumny z okre\u015blonymi <strong>etykietami<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>iloc<\/strong> wybiera wiersze i kolumny na okre\u015blonych <strong>pozycjach liczb ca\u0142kowitych<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Poni\u017csze przyk\u0142ady pokazuj\u0105, jak w praktyce u\u017cywa\u0107 ka\u017cdej metody z nast\u0119puj\u0105c\u0105 ramk\u0105 DataFrame pand:<\/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;\">#create DataFrame with six columns\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [4, 3, 3, 2, 5, 4, 3, 8],\n                   ' <span style=\"color: #ff0000;\">blocks<\/span> ': [1, 0, 0, 3, 2, 2, 1, 5]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds steals blocks\n0 A 18 5 11 4 1\n1 B 22 7 8 3 0\n2 C 19 7 10 3 0\n3 D 14 9 6 2 3\n4 E 14 12 6 5 2\n5 F 11 9 5 4 2\n6 G 20 9 9 3 1\n7:28 4 12 8 5\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: Ci\u0119cie wed\u0142ug okre\u015blonych nazw kolumn<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby utworzy\u0107 now\u0105 ramk\u0119 danych zawieraj\u0105c\u0105 tylko kolumny <strong>zespo\u0142u<\/strong> i <strong>odbijania<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#slice columns team and rebounds\n<\/span>df_new = df. <span style=\"color: #3366ff;\">loc<\/span> [:, [' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ']]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df_new)\n\n  team rebounds\n0 to 11\n1 B 8\n2 C 10\n3 D 6\n4 E 6\n5 F 5\n6 G 9\n7:12 a.m.\n<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: Ci\u0119cie wed\u0142ug nazw kolumn w zakresie<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby utworzy\u0107 now\u0105 ramk\u0119 danych zawieraj\u0105c\u0105 tylko kolumny pomi\u0119dzy <strong>zespo\u0142em<\/strong> a <strong>odbiciami<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#slice columns between team and rebounds\n<\/span>df_new = df. <span style=\"color: #3366ff;\">loc<\/span> [:, ' <span style=\"color: #ff0000;\">team<\/span> ': ' <span style=\"color: #ff0000;\">rebounds<\/span> ']\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df_new)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 3: Ci\u0119cie wed\u0142ug okre\u015blonych pozycji indeksu kolumny<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby utworzy\u0107 now\u0105 ramk\u0119 DataFrame zawieraj\u0105c\u0105 tylko kolumny na pozycjach indeksu <strong>0<\/strong> i <strong>3<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#slice columns in index positions 0 and 3\n<\/span>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> <span style=\"color: #008000;\">[<\/span> :,[ <span style=\"color: #008000;\">0,3<\/span> ]]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df_new)\n\n  team rebounds\n0 to 11\n1 B 8\n2 C 10\n3 D 6\n4 E 6\n5 F 5\n6 G 9\n7:12 a.m.<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 4: Zakres pozycji indeksu wycinka na kolumn\u0119<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby utworzy\u0107 now\u0105 ramk\u0119 DataFrame zawieraj\u0105c\u0105 tylko kolumny z zakresu pozycji indeksu od <strong>0<\/strong> do <strong>3<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#slice columns in index position range between 0 and 3\n<\/span>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:, <span style=\"color: #008000;\">0<\/span> : <span style=\"color: #008000;\">3<\/span> ]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df_new)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Uwaga<\/strong> : w przypadku korzystania z zakresu pozycji indeksu ostatnia pozycja indeksu w zakresie nie zostanie uwzgl\u0119dniona. Na przyk\u0142ad kolumna <strong>odrzuce\u0144<\/strong> na pozycji indeksu 3 nie jest uwzgl\u0119dniona w nowej ramce DataFrame.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Dodatkowe zasoby<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe zadania w pandach:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pl\/pandy-upuszczaja-pierwszy-rzad\/\" target=\"_blank\" rel=\"noopener\">Jak usun\u0105\u0107 pierwszy wiersz w Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-upuszczaja-pierwsza-kolumne\/\" target=\"_blank\" rel=\"noopener\">Jak usun\u0105\u0107 pierwsz\u0105 kolumn\u0119 w Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-upuszczaja-zduplikowane-kolumny\/\" target=\"_blank\" rel=\"noopener\">Jak usun\u0105\u0107 zduplikowane kolumny w Pandach<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Do dzielenia kolumn w ramce DataFrame pandy mo\u017cna u\u017cy\u0107 nast\u0119puj\u0105cych metod: Metoda 1: Wycinek wed\u0142ug okre\u015blonych nazw kolumn df_new = df. loc [:,[&#8217; col1 &#8217;,&#8217; col4 &#8217;]] Metoda 2: Przekr\u00f3j wed\u0142ug nazw kolumn w zakresie df_new = df. loc [:, &#8217; col1 &#8217;:&#8217; col4 &#8217;] Metoda 3: Ci\u0119cie wed\u0142ug okre\u015blonych pozycji indeksu kolumny df_new = [&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":[],"class_list":["post-3607","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Jak podzieli\u0107 kolumny w ramce danych Pandas (z przyk\u0142adami) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak podzieli\u0107 kolumny w ramce DataFrame pandy, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\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\/pl\/kolumny-plasterkow-pand\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak podzieli\u0107 kolumny w ramce danych Pandas (z przyk\u0142adami) \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak podzieli\u0107 kolumny w ramce DataFrame pandy, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T13:54:35+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Napisane przez\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Szacowany czas czytania\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/\",\"url\":\"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/\",\"name\":\"Jak podzieli\u0107 kolumny w ramce danych Pandas (z przyk\u0142adami) \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-16T13:54:35+00:00\",\"dateModified\":\"2023-07-16T13:54:35+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak podzieli\u0107 kolumny w ramce DataFrame pandy, podaj\u0105c kilka przyk\u0142ad\u00f3w.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/kolumny-plasterkow-pand\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak podzieli\u0107 kolumny w ramce danych pandas (z przyk\u0142adami)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pl\/#website\",\"url\":\"https:\/\/statorials.org\/pl\/\",\"name\":\"Statorials\",\"description\":\"Tw\u00f3j przewodnik po kompetencjach statystycznych!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"Cze\u015b\u0107, jestem Benjamin i jestem emerytowanym profesorem statystyki, kt\u00f3ry zosta\u0142 oddanym nauczycielem Statorials. 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