{"id":3273,"date":"2023-07-18T08:46:01","date_gmt":"2023-07-18T08:46:01","guid":{"rendered":"https:\/\/statorials.org\/it\/linea-media-matplotlib\/"},"modified":"2023-07-18T08:46:01","modified_gmt":"2023-07-18T08:46:01","slug":"linea-media-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/it\/linea-media-matplotlib\/","title":{"rendered":"Come aggiungere la linea media alla trama in matplotlib"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Puoi utilizzare la seguente sintassi di base per aggiungere una linea media a un grafico in Matplotlib:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add horizontal line at mean value of y\n<\/span>plt. <span style=\"color: #3366ff;\">axhline<\/span> (y=np. <span style=\"color: #3366ff;\">nanmean<\/span> (df. <span style=\"color: #3366ff;\">y<\/span> ))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Si noti che <strong>axhline<\/strong> aggiunge una linea orizzontale al grafico e <strong>nanmean<\/strong> calcola il valore medio (ignorando NaNs) nel punto in cui deve essere posizionata la linea.<\/span><\/p>\n<p> <span style=\"color: #000000;\">L&#8217;esempio seguente mostra come utilizzare questa sintassi nella pratica.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Esempio: aggiungi una linea media alla trama in Matplotlib<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Supponiamo di avere i seguenti panda DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n                   ' <span style=\"color: #ff0000;\">y<\/span> ':[2, 5, 6, 5, 7, 8, 10, 12, 10, 9, 11, 15]})\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n\tx y\n0 1 2\n1 2 5\n2 3 6\n3 4 5\n4 5 7<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Possiamo utilizzare il codice seguente per creare un grafico a dispersione di x rispetto a y e aggiungere una linea orizzontale che rappresenta il valore medio di y:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add horizontal line at mean value of y\n<\/span>plt. <span style=\"color: #3366ff;\">axhline<\/span> (y=np. <span style=\"color: #3366ff;\">nanmean<\/span> (df. <span style=\"color: #3366ff;\">y<\/span> ))<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-27734 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/avglinemat1.jpg\" alt=\"\" width=\"571\" height=\"378\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Possiamo vedere che una linea media \u00e8 stata aggiunta al grafico appena sopra il valore y di 8.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Se calcoliamo il valore medio di y, troveremo che \u00e8 8.333:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate average y-value<\/span>\nn.p. <span style=\"color: #3366ff;\">nanmean<\/span> (df. <span style=\"color: #3366ff;\">y<\/span> )\n\n8.333333333\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nota che possiamo anche usare gli argomenti <strong>color<\/strong> , <strong>linestyle<\/strong> e <strong>linewidth<\/strong> per specificare rispettivamente il colore, il tipo di linea e la larghezza della linea media:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add horizontal line at mean value of y\n<\/span>plt. <span style=\"color: #3366ff;\">axhline<\/span> (y=np. <span style=\"color: #3366ff;\">nanmean<\/span> (df. <span style=\"color: #3366ff;\">y<\/span> ), color=' <span style=\"color: #ff0000;\">red<\/span> ', linestyle=' <span style=\"color: #ff0000;\">--<\/span> ', linewidth= <span style=\"color: #008000;\">3<\/span> , label=' <span style=\"color: #ff0000;\">Avg<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-27738\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/avglinemat2-1.jpg\" alt=\"linea media in Matplotlib\" width=\"578\" height=\"390\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\"><strong>Nota<\/strong> : puoi trovare la documentazione online completa per la funzione <strong>axhline()<\/strong> <a href=\"https:\/\/matplotlib.org\/stable\/api\/_as_gen\/matplotlib.pyplot.axhline.html\" target=\"_blank\" rel=\"noopener\">qui<\/a> .<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Risorse addizionali<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">I seguenti tutorial spiegano come eseguire altre attivit\u00e0 comuni in Matplotlib:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/it\/linea-di-tendenza-matplotlib\/\">Come aggiungere una linea di tendenza in Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/matplotlib-linea-verticale\/\" target=\"_blank\" rel=\"noopener\">Come disegnare una linea verticale in Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/traccia-piu-righe-matplotlib\/\" target=\"_blank\" rel=\"noopener\">Come tracciare pi\u00f9 linee in Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Puoi utilizzare la seguente sintassi di base per aggiungere una linea media a un grafico in Matplotlib: import matplotlib. pyplot as plt import numpy as np #create scatterplot plt. scatter (df. x , df. y ) #add horizontal line at mean value of y plt. axhline (y=np. nanmean (df. y )) Si noti che axhline [&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 aggiungere una linea media alla trama in Matplotlib - Stology<\/title>\n<meta name=\"description\" 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