{"id":3205,"date":"2023-07-18T17:03:26","date_gmt":"2023-07-18T17:03:26","guid":{"rendered":"https:\/\/statorials.org\/it\/media-numpy-vs-media\/"},"modified":"2023-07-18T17:03:26","modified_gmt":"2023-07-18T17:03:26","slug":"media-numpy-vs-media","status":"publish","type":"post","link":"https:\/\/statorials.org\/it\/media-numpy-vs-media\/","title":{"rendered":"Numpy mean() vs average(): qual \u00e8 la differenza?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">Puoi usare le funzioni <strong>np.mean()<\/strong> o <strong>np.average()<\/strong> per calcolare il valore medio di un array in Python.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">Ecco la sottile differenza tra le due funzioni:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>np.mean<\/b> calcola sempre la media aritmetica.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>np.average<\/b> ha un parametro <strong>di peso<\/strong> opzionale che pu\u00f2 essere utilizzato per calcolare una media ponderata.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Gli esempi seguenti mostrano come utilizzare nella pratica ciascuna funzione.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio 1: utilizzare np.mean() e np.average() senza pesi<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Supponiamo di avere la seguente tabella in Python che contiene sette valori:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create array of values\n<\/span>data = [1, 4, 5, 7, 8, 8, 10]\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Possiamo usare <b>np.mean()<\/b> e <strong>np.average()<\/strong> per calcolare il valore medio di questo array:<\/span><\/p>\n<pre style=\"background-color: #ececec; 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>#calculate average value of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">mean<\/span> (data)\n\n6.142857142857143<\/span>\n\n#calculate average value of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">average<\/span> (data)<\/span>\n\n<span style=\"color: #000000;\">6.142857142857143<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Entrambe le funzioni restituiscono esattamente lo stesso valore.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Entrambe le funzioni hanno utilizzato la seguente formula per calcolare la media:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Media = (1 + 4 + 5 + 7 + 8 + 8 + 10) \/ 7 = <strong>6,142857<\/strong> \u2026<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio 2: utilizzare np.average() con i pesi<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Supponiamo ancora una volta di avere il seguente array in Python che contiene sette valori:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create array of values\n<\/span>data = [1, 4, 5, 7, 8, 8, 10]\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Possiamo usare <strong>np.average()<\/strong> per calcolare una media ponderata per questo array fornendo un elenco di valori ai parametri del <strong>peso<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; 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>#calculate weighted average of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">average<\/span> (data, weights=(.1, .2, .4, .05, .05, .1, .1))<\/span>\n\n<span style=\"color: #000000;\">5.45\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">La media ponderata risulta essere <strong>5,45<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Ecco la formula utilizzata da <strong>np.average()<\/strong> per calcolare questo valore:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Media ponderata = 1*,1 + 4*,2 + 5*,4 + 7*,05 + 8*,05 + 8*,1 + 10*,1 = <strong>5,45<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tieni presente che non possiamo utilizzare <strong>np.mean()<\/strong> per eseguire questo calcolo poich\u00e9 questa funzione non ha un parametro <strong>di peso<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Fare riferimento alla documentazione di NumPy per una spiegazione completa delle funzioni <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.mean.html\" target=\"_blank\" rel=\"noopener\">np.mean()<\/a> e <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.average.html#\" target=\"_blank\" rel=\"noopener\">np.average()<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Risorse addizionali<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">I seguenti tutorial spiegano come calcolare altri valori medi in Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/it\/pitone-della-media-mobile\/\" target=\"_blank\" rel=\"noopener\">Come calcolare le medie mobili in Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/media-cumulativa-python\/\" target=\"_blank\" rel=\"noopener\">Come calcolare una media cumulativa in Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Puoi usare le funzioni np.mean() o np.average() per calcolare il valore medio di un array in Python. Ecco la sottile differenza tra le due funzioni: np.mean calcola sempre la media aritmetica. np.average ha un parametro di peso opzionale che pu\u00f2 essere utilizzato per calcolare una media ponderata. Gli esempi seguenti mostrano come utilizzare nella pratica [&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>NumPy Mean() vs Average(): qual \u00e8 la differenza? - Statorials<\/title>\n<meta name=\"description\" content=\"Questo tutorial spiega la differenza tra le funzioni NumPy Mean() e Average(), inclusi 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\/media-numpy-vs-media\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy Mean() vs Average(): qual \u00e8 la differenza? - Statorials\" \/>\n<meta property=\"og:description\" content=\"Questo tutorial spiega la differenza tra le funzioni NumPy Mean() e Average(), inclusi esempi.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/it\/media-numpy-vs-media\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T17:03:26+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=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/it\/media-numpy-vs-media\/\",\"url\":\"https:\/\/statorials.org\/it\/media-numpy-vs-media\/\",\"name\":\"NumPy Mean() vs Average(): qual \u00e8 la differenza? - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/it\/#website\"},\"datePublished\":\"2023-07-18T17:03:26+00:00\",\"dateModified\":\"2023-07-18T17:03:26+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/it\/#\/schema\/person\/0896f191fb9fb019f2cd8623112cb3ae\"},\"description\":\"Questo tutorial spiega la differenza tra le funzioni NumPy Mean() e Average(), inclusi esempi.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/it\/media-numpy-vs-media\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/it\/media-numpy-vs-media\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/it\/media-numpy-vs-media\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Casa\",\"item\":\"https:\/\/statorials.org\/it\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Numpy mean() vs average(): qual \u00e8 la differenza?\"}]},{\"@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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