{"id":1174,"date":"2023-07-27T09:59:19","date_gmt":"2023-07-27T09:59:19","guid":{"rendered":"https:\/\/statorials.org\/it\/percentili-in-python\/"},"modified":"2023-07-27T09:59:19","modified_gmt":"2023-07-27T09:59:19","slug":"percentili-in-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/it\/percentili-in-python\/","title":{"rendered":"Come calcolare i percentili in python: con esempi"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">L&#8217; <sup>ennesimo<\/sup> <strong>percentile<\/strong> di un set di dati \u00e8 il valore che elimina il primo <em>n<\/em> % dei valori dei dati quando tutti i valori vengono ordinati dal pi\u00f9 piccolo al pi\u00f9 grande.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Ad esempio, il 90\u00b0 percentile di un set di dati \u00e8 il valore che separa il 90% inferiore dei valori dei dati dal 10% superiore dei valori dei dati.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Possiamo calcolare rapidamente i percentili in Python utilizzando la funzione <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.percentile.html\" target=\"_blank\" rel=\"noopener noreferrer\">numpy.percentile()<\/a> , che utilizza la seguente sintassi:<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>numpy.percentile(a, q)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Oro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>a:<\/strong> Tabella dei valori<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>q:<\/strong> percentile o sequenza di percentili da calcolare, che deve essere compreso tra 0 e 100 inclusi.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Questo tutorial spiega come utilizzare questa funzione per calcolare i percentili in Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Come trovare i percentili di una tabella<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Il codice seguente mostra come trovare percentili diversi per un dato array in Python:<\/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>Come trovare i percentili di una colonna DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Il codice seguente mostra come trovare il valore del 95\u00b0 percentile per una singola colonna DataFrame Panda:<\/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>Come trovare i percentili di pi\u00f9 colonne DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Il codice seguente mostra come trovare il valore del 95\u00b0 percentile per pi\u00f9 colonne in un DataFrame panda:<\/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;\">Tieni presente che siamo stati in grado di utilizzare la funzione pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.quantile.html\" target=\"_blank\" rel=\"noopener noreferrer\">quantile()<\/a> negli esempi precedenti per calcolare i percentili.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Correlati:<\/strong> <a href=\"https:\/\/statorials.org\/it\/percentili-in-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">Come calcolare i percentili in R (con esempi)<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>L&#8217; ennesimo percentile di un set di dati \u00e8 il valore che elimina il primo n % dei valori dei dati quando tutti i valori vengono ordinati dal pi\u00f9 piccolo al pi\u00f9 grande. Ad esempio, il 90\u00b0 percentile di un set di dati \u00e8 il valore che separa il 90% inferiore dei valori dei dati [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Come calcolare i percentili in Python (con esempi) - Statorials<\/title>\n<meta name=\"description\" content=\"Questo tutorial spiega come calcolare i percentili in Python, con diversi esempi.\" \/>\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\/it\/percentili-in-python\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Come calcolare i percentili in Python (con esempi) - Statorials\" \/>\n<meta property=\"og:description\" content=\"Questo tutorial spiega come calcolare i percentili in Python, con diversi esempi.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/it\/percentili-in-python\/\" \/>\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=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/it\/percentili-in-python\/\",\"url\":\"https:\/\/statorials.org\/it\/percentili-in-python\/\",\"name\":\"Come calcolare i percentili in Python (con esempi) - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/it\/#website\"},\"datePublished\":\"2023-07-27T09:59:19+00:00\",\"dateModified\":\"2023-07-27T09:59:19+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/it\/#\/schema\/person\/0896f191fb9fb019f2cd8623112cb3ae\"},\"description\":\"Questo tutorial spiega come calcolare i percentili in Python, con diversi esempi.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/it\/percentili-in-python\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/it\/percentili-in-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/it\/percentili-in-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Casa\",\"item\":\"https:\/\/statorials.org\/it\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Come calcolare i percentili in python: con esempi\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/it\/#website\",\"url\":\"https:\/\/statorials.org\/it\/\",\"name\":\"Statorials\",\"description\":\"La tua guida all&#039;alfabetizzazione statistica!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/it\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"it-IT\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/it\/#\/schema\/person\/0896f191fb9fb019f2cd8623112cb3ae\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\/\/statorials.org\/it\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/it\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/it\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Ciao, sono Benjamin, un professore di statistica in pensione diventato insegnante dedicato di Statorials. 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