{"id":1172,"date":"2023-07-27T09:59:19","date_gmt":"2023-07-27T09:59:19","guid":{"rendered":"https:\/\/statorials.org\/pl\/percentyle-w-pythonie\/"},"modified":"2023-07-27T09:59:19","modified_gmt":"2023-07-27T09:59:19","slug":"percentyle-w-pythonie","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/percentyle-w-pythonie\/","title":{"rendered":"Jak obliczy\u0107 percentyle w pythonie: z przyk\u0142adami"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><sup>N-ty<\/sup> <strong>percentyl<\/strong> zbioru danych to warto\u015b\u0107, kt\u00f3ra odcina g\u00f3rne <em>n<\/em> procent warto\u015bci danych, gdy wszystkie warto\u015bci s\u0105 posortowane od najmniejszej do najwi\u0119kszej.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Na przyk\u0142ad 90. percentyl zbioru danych to warto\u015b\u0107 oddzielaj\u0105ca dolne 90% warto\u015bci danych od g\u00f3rnych 10% warto\u015bci danych.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Percentyle mo\u017cemy szybko obliczy\u0107 w Pythonie za pomoc\u0105 funkcji <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.percentile.html\" target=\"_blank\" rel=\"noopener noreferrer\">numpy.percentile()<\/a> , kt\u00f3ra wykorzystuje nast\u0119puj\u0105c\u0105 sk\u0142adni\u0119:<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>numpy.percentyl(a, q)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Z\u0142oto:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>a:<\/strong> Tabela warto\u015bci<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>q:<\/strong> Percentyl lub sekwencja percentyli do obliczenia, kt\u00f3ra musi mie\u015bci\u0107 si\u0119 w przedziale od 0 do 100 w\u0142\u0105cznie.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 tej funkcji do obliczania percentyli w j\u0119zyku Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Jak znale\u017a\u0107 percentyle tabeli<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod demonstruje, jak znale\u017a\u0107 r\u00f3\u017cne percentyle dla danej tablicy w Pythonie:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<\/span>#make this example reproducible\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (0)<\/span>\n\n#create array of 100 random integers distributed between 0 and 500\n<\/span><span style=\"color: #000000;\">data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randint<\/span> (0, 500, 100)\n\n<span style=\"color: #008080;\">#find the 37th percentile of the array<\/span>\nn.p. <span style=\"color: #3366ff;\">percentile<\/span> (data, 37)\n\n173.26\n<\/span>\n<span style=\"color: #008080;\">#Find the quartiles (25th, 50th, and 75th percentiles) of the array\n<\/span>n.p. <span style=\"color: #3366ff;\">percentile<\/span> (data, [25, 50, 75])\n\narray([116.5, 243.5, 371.5])\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Jak znale\u017a\u0107 percentyle kolumny DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak znale\u017a\u0107 warto\u015b\u0107 95. percentyla dla pojedynczej kolumny DataFrame pandy:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #800080;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np \n<\/span><\/span><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span><span style=\"color: #000000;\">df = pd.DataFrame({'var1': [25, 12, 15, 14, 19, 23, 25, 29, 33, 35],\n                   'var2': [5, 7, 7, 9, 12, 9, 9, 4, 14, 15],\n                   'var3': [11, 8, 10, 6, 6, 5, 9, 12, 13, 16]})<\/span>\n\n<span style=\"color: #008080;\">#find 90th percentile of var1 column\n<\/span><span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">percentile<\/span> (df. <span style=\"color: #3366ff;\">var1<\/span> , 95)\n\n34.1\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Jak znale\u017a\u0107 percentyle wielu kolumn DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak znale\u017a\u0107 warto\u015b\u0107 95. percentyla dla wielu kolumn w ramce DataFrame pandy:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #800080;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np \n<\/span><\/span><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span><span style=\"color: #000000;\">df = pd.DataFrame({'var1': [25, 12, 15, 14, 19, 23, 25, 29, 33, 35],\n                   'var2': [5, 7, 7, 9, 12, 9, 9, 4, 14, 15],\n                   'var3': [11, 8, 10, 6, 6, 5, 9, 12, 13, 16]})<\/span>\n\n<span style=\"color: #008080;\">#find 95th percentile of each column\n<\/span><span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">quantile<\/span> (.95)\n\nvar1 34.10\nvar2 14.55\nvar3 14.65\n\n<span style=\"color: #008080;\">#find 95th percentile of just columns var1 and var2<\/span>\ndf[[' <span style=\"color: #008000;\">var1<\/span> ', ' <span style=\"color: #008000;\">var2<\/span> ']]. <span style=\"color: #3366ff;\">quantile<\/span> (.95)\n\nvar1 34.10\nvar2 14.55<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Zauwa\u017c, \u017ce w powy\u017cszych przyk\u0142adach mogli\u015bmy u\u017cy\u0107 funkcji pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.quantile.html\" target=\"_blank\" rel=\"noopener noreferrer\">quantile()<\/a> do obliczenia percentyli.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Powi\u0105zane:<\/strong> <a href=\"https:\/\/statorials.org\/pl\/percentyle-w-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jak obliczy\u0107 percentyle w R (z przyk\u0142adami)<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>N-ty percentyl zbioru danych to warto\u015b\u0107, kt\u00f3ra odcina g\u00f3rne n procent warto\u015bci danych, gdy wszystkie warto\u015bci s\u0105 posortowane od najmniejszej do najwi\u0119kszej. Na przyk\u0142ad 90. percentyl zbioru danych to warto\u015b\u0107 oddzielaj\u0105ca dolne 90% warto\u015bci danych od g\u00f3rnych 10% warto\u015bci danych. Percentyle mo\u017cemy szybko obliczy\u0107 w Pythonie za pomoc\u0105 funkcji numpy.percentile() , kt\u00f3ra wykorzystuje nast\u0119puj\u0105c\u0105 sk\u0142adni\u0119: [&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-1172","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 obliczy\u0107 percentyle w Pythonie (z przyk\u0142adami) - Statoriale<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak obliczy\u0107 percentyle w Pythonie, 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\/percentyle-w-pythonie\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak obliczy\u0107 percentyle w Pythonie (z przyk\u0142adami) - Statoriale\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak obliczy\u0107 percentyle w Pythonie, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/percentyle-w-pythonie\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T09:59:19+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\/percentyle-w-pythonie\/\",\"url\":\"https:\/\/statorials.org\/pl\/percentyle-w-pythonie\/\",\"name\":\"Jak obliczy\u0107 percentyle w Pythonie (z przyk\u0142adami) - Statoriale\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-27T09:59:19+00:00\",\"dateModified\":\"2023-07-27T09:59:19+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak obliczy\u0107 percentyle w Pythonie, podaj\u0105c kilka przyk\u0142ad\u00f3w.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/percentyle-w-pythonie\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/percentyle-w-pythonie\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/percentyle-w-pythonie\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak obliczy\u0107 percentyle 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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