{"id":983,"date":"2023-07-28T02:28:10","date_gmt":"2023-07-28T02:28:10","guid":{"rendered":"https:\/\/statorials.org\/pl\/normalizuj-kolumny-ramki-danych-pand\/"},"modified":"2023-07-28T02:28:10","modified_gmt":"2023-07-28T02:28:10","slug":"normalizuj-kolumny-ramki-danych-pand","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/normalizuj-kolumny-ramki-danych-pand\/","title":{"rendered":"Jak normalizowa\u0107 kolumny w ramce danych pandas"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Cz\u0119sto mo\u017cesz chcie\u0107 <strong>znormalizowa\u0107<\/strong> warto\u015bci danych jednej lub wi\u0119cej kolumn w pandzie DataFrame.<\/span><\/p>\n<p> <span style=\"color: #000000;\">W tym samouczku wyja\u015bniono dwa sposoby, aby to zrobi\u0107:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. Normalizacja Min-Max<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>Cel:<\/b> Konwertuje ka\u017cd\u0105 warto\u015b\u0107 danych na warto\u015b\u0107 z zakresu od 0 do 1.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Wz\u00f3r:<\/strong> Nowa warto\u015b\u0107 = (warto\u015b\u0107 \u2013 min) \/ (max \u2013 min)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>2. \u015arednia normalizacja<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>Cel:<\/b> Skaluje warto\u015bci w taki spos\u00f3b, aby \u015brednia wszystkich warto\u015bci wynosi\u0142a 0 i std. rozw. jest 1.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Wz\u00f3r:<\/strong> Nowa warto\u015b\u0107 = (warto\u015b\u0107 \u2013 \u015brednia) \/ (odchylenie standardowe)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Zobaczmy przyk\u0142ad u\u017cycia ka\u017cdej metody w ramce DataFrame pandy.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: normalizacja min-max<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 ramk\u0119 DataFrame pand:<\/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;\">#createDataFrame<\/span>\ndf = pd.DataFrame({'points': [25, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 9, 12],\n                   'rebounds': [11, 8, 10, 6, 6]}) \n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #993300;\">print<\/span> (df)\n\n   points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cego kodu, aby zastosowa\u0107 normalizacj\u0119 min-max do ka\u017cdej kolumny DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>(df-df. <span style=\"color: #3366ff;\">min<\/span> ())\/(df. <span style=\"color: #3366ff;\">max<\/span> ()-df. <span style=\"color: #3366ff;\">min<\/span> ())\n\n        points assists rebounds\n0 1.000000 0.000000 1.0\n1 0.000000 0.285714 0.4\n2 0.230769 0.285714 0.8\n3 0.153846 0.571429 0.0\n4 0.538462 1.000000 0.0\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Maksymalna warto\u015b\u0107 w ka\u017cdej kolumnie wynosi teraz <strong>1<\/strong> , a minimalna warto\u015b\u0107 w ka\u017cdej kolumnie wynosi teraz <strong>0<\/strong> , a wszystkie pozosta\u0142e warto\u015bci mieszcz\u0105 si\u0119 w przedziale od 0 do 1.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: \u015brednia normalizacja<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Za\u0142\u00f3\u017cmy jeszcze raz, \u017ce mamy nast\u0119puj\u0105c\u0105 ramk\u0119 DataFrame pandy:<\/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;\">#createDataFrame<\/span>\ndf = pd.DataFrame({'points': [25, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 9, 12],\n                   'rebounds': [11, 8, 10, 6, 6]}) \n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #993300;\">print<\/span> (df)\n\n   points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cego kodu, aby zastosowa\u0107 normalizacj\u0119 \u015bredniej do ka\u017cdej kolumny w ramce DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>(df- <span style=\"color: #3366ff;\">df.mean<\/span> ())\/df. <span style=\"color: #3366ff;\">std<\/span> ()\n\n        points assists rebounds\n0 1.554057 -1.133893 1.227881\n1 -0.971286 -0.377964 -0.087706\n2 -0.388514 -0.377964 0.789352\n3 -0.582772 0.377964 -0.964764\n4 0.388514 1.511858 -0.964764\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Warto\u015bci w ka\u017cdej kolumnie s\u0105 teraz znormalizowane w taki spos\u00f3b, \u017ce \u015brednia warto\u015bci w ka\u017cdej kolumnie wynosi 0, a odchylenie standardowe warto\u015bci w ka\u017cdej kolumnie wynosi 1.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Je\u015bli dany punkt danych ma znormalizowan\u0105 warto\u015b\u0107 wi\u0119ksz\u0105 ni\u017c 0, oznacza to, \u017ce punkt danych jest wi\u0119kszy ni\u017c \u015brednia z jego kolumny. I odwrotnie, znormalizowana warto\u015b\u0107 mniejsza ni\u017c 0 wskazuje, \u017ce punkt danych znajduje si\u0119 poni\u017cej \u015bredniej w swojej kolumnie.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Dodatkowe zasoby<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/pl\/pandas-groupby-agreguje-wiele-kolumn\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pandy: jak grupowa\u0107 i agregowa\u0107 w wielu kolumnach<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-filtruja-wiele-warunkow\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jak filtrowa\u0107 ramk\u0119 danych Pandas pod wieloma warunkami<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-licza-brakujace-wartosci\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jak policzy\u0107 brakuj\u0105ce warto\u015bci w Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cz\u0119sto mo\u017cesz chcie\u0107 znormalizowa\u0107 warto\u015bci danych jednej lub wi\u0119cej kolumn w pandzie DataFrame. W tym samouczku wyja\u015bniono dwa sposoby, aby to zrobi\u0107: 1. Normalizacja Min-Max Cel: Konwertuje ka\u017cd\u0105 warto\u015b\u0107 danych na warto\u015b\u0107 z zakresu od 0 do 1. Wz\u00f3r: Nowa warto\u015b\u0107 = (warto\u015b\u0107 \u2013 min) \/ (max \u2013 min) 2. \u015arednia normalizacja Cel: Skaluje warto\u015bci [&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-983","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 normalizowa\u0107 kolumny w ramce danych Pandas \u2013 Statologia<\/title>\n<meta name=\"description\" content=\"Proste wyja\u015bnienie, jak normalizowa\u0107 kolumny 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\/normalizuj-kolumny-ramki-danych-pand\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak normalizowa\u0107 kolumny w ramce danych Pandas \u2013 Statologia\" \/>\n<meta property=\"og:description\" content=\"Proste wyja\u015bnienie, jak normalizowa\u0107 kolumny w ramce DataFrame pandy, \u0142\u0105cznie z przyk\u0142adami.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/normalizuj-kolumny-ramki-danych-pand\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T02:28:10+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\/normalizuj-kolumny-ramki-danych-pand\/\",\"url\":\"https:\/\/statorials.org\/pl\/normalizuj-kolumny-ramki-danych-pand\/\",\"name\":\"Jak normalizowa\u0107 kolumny w ramce danych Pandas \u2013 Statologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-28T02:28:10+00:00\",\"dateModified\":\"2023-07-28T02:28:10+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"Proste wyja\u015bnienie, jak normalizowa\u0107 kolumny w ramce DataFrame pandy, \u0142\u0105cznie z przyk\u0142adami.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/normalizuj-kolumny-ramki-danych-pand\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/normalizuj-kolumny-ramki-danych-pand\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/normalizuj-kolumny-ramki-danych-pand\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak normalizowa\u0107 kolumny w ramce danych pandas\"}]},{\"@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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