{"id":4371,"date":"2023-07-11T15:20:37","date_gmt":"2023-07-11T15:20:37","guid":{"rendered":"https:\/\/statorials.org\/pl\/pandy-znajduje-sie-w-wielu-kolumnach\/"},"modified":"2023-07-11T15:20:37","modified_gmt":"2023-07-11T15:20:37","slug":"pandy-znajduje-sie-w-wielu-kolumnach","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/pandy-znajduje-sie-w-wielu-kolumnach\/","title":{"rendered":"Pandy: jak u\u017cywa\u0107 isin dla wielu kolumn"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Aby filtrowa\u0107 na podstawie wielu kolumn w ramce DataFrame pandy, mo\u017cna u\u017cy\u0107 nast\u0119puj\u0105cych metod z funkcj\u0105 pandas <strong>isin()<\/strong> :<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 1: Filtruj, gdy wiele kolumn ma r\u00f3wne warto\u015bci<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df[df[[' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> ']]. <span style=\"color: #3366ff;\">isin<\/span> ([' <span style=\"color: #ff0000;\">A<\/span> ',' <span style=\"color: #ff0000;\">Guard<\/span> ']). <span style=\"color: #3366ff;\">all<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Ten konkretny przyk\u0142ad filtruje ramk\u0119 DataFrame pod k\u0105tem wierszy, w kt\u00f3rych kolumna <strong>zespo\u0142u<\/strong> ma warto\u015b\u0107 \u201eA\u201d <b>, a<\/b> kolumna <strong>pozycji<\/strong> jest r\u00f3wna \u201eOchrona\u201d.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 2: Filtruj, gdy co najmniej jedna kolumna ma okre\u015blon\u0105 warto\u015b\u0107<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df[df[[' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> ']]. <span style=\"color: #3366ff;\">isin<\/span> ([' <span style=\"color: #ff0000;\">A<\/span> ',' <span style=\"color: #ff0000;\">Guard<\/span> ']). <span style=\"color: #3366ff;\">any<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Ten konkretny przyk\u0142ad filtruje ramk\u0119 DataFrame pod k\u0105tem wierszy, w kt\u00f3rych kolumna <strong>zespo\u0142u<\/strong> ma warto\u015b\u0107 \u201eA\u201d <b>lub<\/b> kolumna <strong>pozycji<\/strong> jest r\u00f3wna \u201eOchrona\u201d.<\/span><\/p>\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;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">position<\/span> ': ['Guard', 'Guard', 'Forward', 'Forward',\n                                'Guard', 'Guard', 'Forward', 'Forward'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [11, 18, 10, 22, 26, 35, 19, 12]})\n                   \n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team position points\n0 A Guard 11\n1 A Guard 18\n2 A Forward 10\n3 A Forward 22\n4 B Guard 26\n5 B Guard 35\n6 B Forward 19\n7 B Forward 12<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: Filtr, w przypadku kt\u00f3rego wiele kolumn ma r\u00f3wne okre\u015blone warto\u015bci<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 poni\u017cszej sk\u0142adni, aby przefiltrowa\u0107 ramk\u0119 DataFrame tak, aby zawiera\u0142a tylko wiersze, w kt\u00f3rych kolumna <strong>zespo\u0142u<\/strong> jest r\u00f3wna \u201eA\u201d <b>, a<\/b> kolumna <strong>pozycji<\/strong> jest r\u00f3wna \u201eOchrona\u201d.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter rows where team column is 'A' and position column is 'Guard'<\/span>\ndf = df[df[[' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> ']]. <span style=\"color: #3366ff;\">isin<\/span> ([' <span style=\"color: #ff0000;\">A<\/span> ',' <span style=\"color: #ff0000;\">Guard<\/span> ']). <span style=\"color: #3366ff;\">all<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )]\n\n<span style=\"color: #008080;\">#view filtered DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n  team position points\n0 A Guard 11\n1 A Guard 18\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce w filtrowanej ramce danych pozostaj\u0105 tylko wiersze, w kt\u00f3rych kolumna <strong>zespo\u0142u<\/strong> jest r\u00f3wna \u201eA\u201d <b>, a<\/b> kolumna <strong>pozycji<\/strong> ma warto\u015b\u0107 \u201eStra\u017cnik\u201d.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: Filtr, w kt\u00f3rym co najmniej jedna kolumna ma okre\u015blon\u0105 warto\u015b\u0107<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 poni\u017cszej sk\u0142adni, aby przefiltrowa\u0107 ramk\u0119 DataFrame tak, aby zawiera\u0142a tylko wiersze, w kt\u00f3rych kolumna <strong>zespo\u0142u<\/strong> jest r\u00f3wna \u201eA\u201d <b>lub<\/b> kolumna <strong>pozycji<\/strong> jest r\u00f3wna \u201eOchrona\u201d.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter rows where team column is 'A' or position column is 'Guard'<\/span>\ndf = df[df[[' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> ']]. <span style=\"color: #3366ff;\">isin<\/span> ([' <span style=\"color: #ff0000;\">A<\/span> ',' <span style=\"color: #ff0000;\">Guard<\/span> ']). <span style=\"color: #3366ff;\">any<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )]\n\n<span style=\"color: #008080;\">#view filtered DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n  team position points\n0 A Guard 11\n1 A Guard 18\n2 A Forward 10\n3 A Forward 22\n4 B Guard 26\n5 B Guard 35\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce w filtrowanej ramce danych pozostaj\u0105 tylko wiersze, w kt\u00f3rych kolumna <strong>zespo\u0142u<\/strong> jest r\u00f3wna \u201eA\u201d <b>lub<\/b> kolumna <strong>pozycji<\/strong> ma warto\u015b\u0107 \u201eStra\u017cnik\u201d.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Uwaga<\/strong> : pe\u0142n\u0105 dokumentacj\u0119 funkcji panda <strong>isin()<\/strong> mo\u017cna znale\u017a\u0107 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.isin.html\" target=\"_blank\" rel=\"noopener\">tutaj<\/a> .<\/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\/filtr-tabeli-przestawnej-pand\/\" target=\"_blank\" rel=\"noopener\">Pandy: Jak doda\u0107 filtr do tabeli przestawnej<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-nie-zawiera\/\" target=\"_blank\" rel=\"noopener\">Pandy: jak filtrowa\u0107 \u201eNie zawiera\u201d<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-filtruja-linie-zawierajace-ciag\/\" target=\"_blank\" rel=\"noopener\">Pandy: jak filtrowa\u0107 wiersze zawieraj\u0105ce okre\u015blony ci\u0105g znak\u00f3w<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Aby filtrowa\u0107 na podstawie wielu kolumn w ramce DataFrame pandy, mo\u017cna u\u017cy\u0107 nast\u0119puj\u0105cych metod z funkcj\u0105 pandas isin() : Metoda 1: Filtruj, gdy wiele kolumn ma r\u00f3wne warto\u015bci df = df[df[[&#8217; team &#8217;, &#8217; position &#8217;]]. isin ([&#8217; A &#8217;,&#8217; Guard &#8217;]). all (axis= 1 )] Ten konkretny przyk\u0142ad filtruje ramk\u0119 DataFrame pod k\u0105tem wierszy, [&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-4371","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>Pandy: Jak u\u017cywa\u0107 isin dla wielu kolumn - Statologia<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 funkcji isin() z wieloma kolumnami w ramce DataFrame pandy, \u0142\u0105cznie z przyk\u0142adami.\" \/>\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\/pandy-znajduje-sie-w-wielu-kolumnach\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandy: Jak u\u017cywa\u0107 isin dla wielu kolumn - Statologia\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 funkcji isin() z wieloma kolumnami w ramce DataFrame pandy, \u0142\u0105cznie z przyk\u0142adami.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/pandy-znajduje-sie-w-wielu-kolumnach\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-11T15:20:37+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\/pandy-znajduje-sie-w-wielu-kolumnach\/\",\"url\":\"https:\/\/statorials.org\/pl\/pandy-znajduje-sie-w-wielu-kolumnach\/\",\"name\":\"Pandy: Jak u\u017cywa\u0107 isin dla wielu kolumn - Statologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-11T15:20:37+00:00\",\"dateModified\":\"2023-07-11T15:20:37+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 funkcji isin() z wieloma kolumnami w ramce DataFrame pandy, \u0142\u0105cznie z przyk\u0142adami.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/pandy-znajduje-sie-w-wielu-kolumnach\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/pandy-znajduje-sie-w-wielu-kolumnach\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/pandy-znajduje-sie-w-wielu-kolumnach\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandy: jak u\u017cywa\u0107 isin dla wielu kolumn\"}]},{\"@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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