{"id":2515,"date":"2023-07-21T22:38:17","date_gmt":"2023-07-21T22:38:17","guid":{"rendered":"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/"},"modified":"2023-07-21T22:38:17","modified_gmt":"2023-07-21T22:38:17","slug":"grupowanie-danych-w-pythonie","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/","title":{"rendered":"Jak grupowa\u0107 dane w pythonie: z przyk\u0142adami"},"content":{"rendered":"

<\/p>\n

\n

Aby grupowa\u0107 dane w ramce DataFrame pandy, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cej podstawowej sk\u0142adni:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#perform binning with 3 bins<\/span>\ndf[' new_bin<\/span> '] = pd. qcut<\/span> (df[' variable_name<\/span> '], q= 3<\/span> )\n<\/strong><\/pre>\n
 Poni\u017csze przyk\u0142ady pokazuj\u0105, jak w praktyce u\u017cywa\u0107 tej sk\u0142adni z nast\u0119puj\u0105c\u0105 ramk\u0105 DataFrame pand:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [4, 4, 7, 8, 12, 13, 15, 18, 22, 23, 23, 25],\n                   ' assists<\/span> ': [2, 5, 4, 7, 7, 8, 5, 4, 5, 11, 13, 8],\n                   ' rebounds<\/span> ': [7, 7, 4, 6, 3, 8, 9, 9, 12, 11, 8, 9]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds\n0 4 2 7\n1 4 5 7\n2 7 4 4\n3 8 7 6\n4 12 7 3\n5 13 8 8\n6 15 5 9\n7 18 4 9\n8 22 5 12\n9 23 11 11\n10 23 13 8\n11 25 8 9\n<\/span><\/span><\/strong><\/pre>\n
 Przyk\u0142ad 1: Wykonaj grupowanie danych podstawowych<\/strong><\/span><\/h3>\n
 Poni\u017cszy kod pokazuje, jak przeprowadzi\u0107 grupowanie danych na zmiennej punkty<\/strong> przy u\u017cyciu funkcji qcut()<\/a> z okre\u015blonymi znakami przerwania:<\/span><\/p>\n
 #perform data binning on variable points<\/em>\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '], q= 3<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 (3,999, 10,667]\n1 4 5 7 (3,999, 10,667]\n2 7 4 4 (3,999, 10,667]\n3 8 7 6 (3,999, 10,667]\n4 12 7 3 (10,667, 19,333]\n5 13 8 8 (10,667, 19,333]\n6 15 5 9 (10,667, 19,333]\n7 18 4 9 (10,667, 19,333]\n8 22 5 12 (19.333, 25.0]\n9 23 11 11 (19.333, 25.0]\n10 23 13 8 (19.333, 25.0]\n11 25 8 9 (19.333, 25.0]\n<\/span><\/span><\/strong><\/pre>\n
 Nale\u017cy zauwa\u017cy\u0107, \u017ce ka\u017cdy wiersz w ramce danych zosta\u0142 umieszczony w jednej z trzech grup w oparciu o warto\u015b\u0107 kolumny punktowej.<\/span><\/p>\n
 Mo\u017cemy u\u017cy\u0107 funkcji value_counts()<\/strong> , aby sprawdzi\u0107, ile wierszy zosta\u0142o umieszczonych w ka\u017cdym pojemniku:<\/span><\/p>\n
 #count frequency of each bin\n<\/span>df[' points_bin<\/span> ']. value_counts<\/span> ()\n\n(3,999, 10,667] 4\n(10.667, 19.333] 4\n(19.333, 25.0] 4\nName: points_bin, dtype: int64\n<\/span><\/span><\/strong><\/pre>\n
 Widzimy, \u017ce w ka\u017cdym pojemniku znajduj\u0105 si\u0119 4 obserwacje.<\/span><\/p>\n
 Przyk\u0142ad 2: Wykonaj grupowanie danych z okre\u015blonymi kwantylami<\/strong><\/span><\/h3>\n
 Mo\u017cemy r\u00f3wnie\u017c przeprowadzi\u0107 grupowanie danych przy u\u017cyciu okre\u015blonych kwantyli:<\/span><\/p>\n
 #perform data binning on variable points<\/em> with specific quantiles\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '], q=[0, .2, .4, .6, .8, 1])\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 (3.999, 7.2]\n1 4 5 7 (3.999, 7.2]\n2 7 4 4 (3.999, 7.2]\n3 8 7 6 (7.2, 12.4]\n4 12 7 3 (7.2, 12.4]\n5 13 8 8 (12.4, 16.8]\n6 15 5 9 (12.4, 16.8]\n7 18 4 9 (16.8, 22.8]\n8 22 5 12 (16.8, 22.8]\n9 23 11 11 (22.8, 25.0]\n10 23 13 8 (22.8, 25.0]\n11 25 8 9 (22.8, 25.0]\n<\/span><\/span><\/strong><\/pre>\n
 Przyk\u0142ad 3:<\/strong><\/span> Wykonaj grupowanie danych za pomoc\u0105 etykiet<\/strong><\/span><\/h3>\n
 Mo\u017cemy tak\u017ce grupowa\u0107 dane za pomoc\u0105 okre\u015blonych kwantyli i etykiet:<\/span><\/p>\n
 #perform data binning on points<\/em> variable with specific quantiles and labels\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '],\n                           q=[0, .2, .4, .6, .8, 1],\n                           labels=[' A<\/span> ',' B<\/span> ',' C<\/span> ',' D<\/span> ',' E<\/span> '])\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 A\n1 4 5 7 A\n2 7 4 4 A\n3 8 7 6 B\n4 12 7 3 B\n5 13 8 8 C\n6 15 5 9 C\n7 18 4 9 D\n8 22 5 12 D\n9 23 11 11 E\n10 23 13 8 E\n11 25 8 9 E\n<\/span><\/span><\/strong><\/pre>\n
 Nale\u017cy pami\u0119ta\u0107, \u017ce do ka\u017cdego wiersza przypisano pojemnik na podstawie warto\u015bci kolumny punktowej<\/strong> , a pojemniki zosta\u0142y oznaczone literami.<\/span><\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
 Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe zadania w pandach:<\/span><\/p>\n
 Pandy: jak korzysta\u0107 z funkcji value_counts().<\/a>
 Pandy: Jak utworzy\u0107 tabel\u0119 przestawn\u0105 z liczb\u0105 warto\u015bci<\/a>
 Pandy: jak liczy\u0107 wyst\u0105pienia okre\u015blonej warto\u015bci w kolumnie<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Aby grupowa\u0107 dane w ramce DataFrame pandy, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cej podstawowej sk\u0142adni: import pandas as pd #perform binning with 3 bins df[’ new_bin ’] = pd. qcut (df[’ variable_name ’], q= 3 ) Poni\u017csze przyk\u0142ady pokazuj\u0105, jak w praktyce u\u017cywa\u0107 tej sk\u0142adni z nast\u0119puj\u0105c\u0105 ramk\u0105 DataFrame pand: import pandas as pd #createDataFrame df = pd. […]<\/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-2515","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak wykona\u0107 grupowanie danych w Pythonie (z przyk\u0142adami) - Statologia<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak przeprowadzi\u0107 grupowanie danych w j\u0119zyku Python, 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\/grupowanie-danych-w-pythonie\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak wykona\u0107 grupowanie danych w Pythonie (z przyk\u0142adami) - Statologia\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak przeprowadzi\u0107 grupowanie danych w j\u0119zyku Python, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-21T22:38:17+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=\"2 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/\",\"url\":\"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/\",\"name\":\"Jak wykona\u0107 grupowanie danych w Pythonie (z przyk\u0142adami) - Statologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-21T22:38:17+00:00\",\"dateModified\":\"2023-07-21T22:38:17+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak przeprowadzi\u0107 grupowanie danych w j\u0119zyku Python, podaj\u0105c kilka przyk\u0142ad\u00f3w.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/grupowanie-danych-w-pythonie\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak grupowa\u0107 dane w pythonie: 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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