{"id":833,"date":"2023-07-28T14:46:53","date_gmt":"2023-07-28T14:46:53","guid":{"rendered":"https:\/\/statorials.org\/it\/testata-pitone\/"},"modified":"2023-07-28T14:46:53","modified_gmt":"2023-07-28T14:46:53","slug":"testata-pitone","status":"publish","type":"post","link":"https:\/\/statorials.org\/it\/testata-pitone\/","title":{"rendered":"Come creare un grafico a ogiva in python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Un&#8217;ogiva<\/strong> \u00e8 un grafico che mostra quanti valori dei dati cadono al di sopra o al di sotto di un determinato valore in un set di dati. Questo tutorial spiega come creare una testata in Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio: come creare un&#8217;ogiva in Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Completa i seguenti passaggi per creare un&#8217;ogiva per un set di dati in Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Passaggio 1: crea un set di dati.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Innanzitutto, possiamo creare un semplice set di dati.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create array of 1,000 random integers between 0 and 10<\/span>\nnp.random.seed(1)\ndata = np.random.randint(0, 10, 1000)\n\n<span style=\"color: #008080;\">#view first ten values<\/span> \ndata[:10]\n\narray([5, 8, 9, 5, 0, 0, 1, 7, 6, 9])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Passaggio 2: creare una testata.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Quindi possiamo utilizzare la funzione <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.histogram.html\" target=\"_blank\" rel=\"noopener\">numpy.histogram<\/a> per trovare automaticamente le classi e le frequenze delle classi. Quindi possiamo usare matplotlib per creare la testata:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt \n<span style=\"color: #008080;\">\n#obtain histogram values with 10 bins\n<span style=\"color: #000000;\">values, base = np.histogram(data, bins=10)\n<\/span>\n#find the cumulative sums\n<span style=\"color: #000000;\">cumulative = np.cumsum(values)\n<\/span>\n# plot the warhead\n<span style=\"color: #000000;\">plt.plot(base[:-1], cumulative, 'ro-')<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9222 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ogivepython1.png\" alt=\"Grafico della testata in Python\" width=\"392\" height=\"259\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Il grafico bullet avr\u00e0 un aspetto diverso a seconda del numero di caselle specificate nella funzione <strong>numpy.histogram<\/strong> . Ad esempio, ecco come apparirebbe il grafico se utilizzassimo 30 gruppi:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#obtain histogram values with 30 bins\n<span style=\"color: #000000;\">values, base = np.histogram(data, bins= <span style=\"color: #800080;\">10<\/span> )\n<\/span>\n#find the cumulative sums\n<span style=\"color: #000000;\">cumulative = np.cumsum(values)\n<\/span>\n# plot the warhead\n<span style=\"color: #000000;\">plt.plot(base[:-1], cumulative, 'ro-')<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9223 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ogivepython2.png\" alt=\"Ogiva nell'esempio di Python\" width=\"392\" height=\"259\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">L&#8217;argomento &#8216; <strong>ro-&#8216;<\/strong> specifica:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Usa il colore rosso (r)<\/span><\/li>\n<li> <span style=\"color: #000000;\">Usa i cerchi ad ogni intervallo di lezione (o)<\/span><\/li>\n<li> <span style=\"color: #000000;\">Utilizza le linee per collegare i cerchi (-)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Sentiti libero di modificare queste opzioni per cambiare l&#8217;estetica del grafico.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Un&#8217;ogiva \u00e8 un grafico che mostra quanti valori dei dati cadono al di sopra o al di sotto di un determinato valore in un set di dati. Questo tutorial spiega come creare una testata in Python. Esempio: come creare un&#8217;ogiva in Python Completa i seguenti passaggi per creare un&#8217;ogiva per un set di dati in [&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 creare una carta ogiva in Python - Statorials<\/title>\n<meta name=\"description\" content=\"Questo tutorial spiega come creare facilmente un grafico a ogiva in Python.\" \/>\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\/testata-pitone\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Come creare una carta ogiva in Python - Statorials\" \/>\n<meta property=\"og:description\" content=\"Questo tutorial spiega come creare facilmente un grafico a ogiva in Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/it\/testata-pitone\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T14:46:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ogivepython1.png\" \/>\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\/testata-pitone\/\",\"url\":\"https:\/\/statorials.org\/it\/testata-pitone\/\",\"name\":\"Come creare una carta ogiva in Python - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/it\/#website\"},\"datePublished\":\"2023-07-28T14:46:53+00:00\",\"dateModified\":\"2023-07-28T14:46:53+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/it\/#\/schema\/person\/0896f191fb9fb019f2cd8623112cb3ae\"},\"description\":\"Questo tutorial spiega come creare facilmente un grafico a ogiva in Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/it\/testata-pitone\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/it\/testata-pitone\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/it\/testata-pitone\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Casa\",\"item\":\"https:\/\/statorials.org\/it\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Come creare un grafico a ogiva in python\"}]},{\"@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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