{"id":2973,"date":"2023-07-19T20:21:26","date_gmt":"2023-07-19T20:21:26","guid":{"rendered":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/"},"modified":"2023-07-19T20:21:26","modified_gmt":"2023-07-19T20:21:26","slug":"differenza-di-data-dei-panda","status":"publish","type":"post","link":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/","title":{"rendered":"Panda: come calcolare la differenza tra due date"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u00c8 possibile utilizzare la seguente sintassi per calcolare una differenza tra due date in un DataFrame panda:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">diff_days<\/span> '] = (df[' <span style=\"color: #ff0000;\">end_date<\/span> '] - df[' <span style=\"color: #ff0000;\">start_date<\/span> ']) \/ np. <span style=\"color: #3366ff;\">timedelta64<\/span> ( <span style=\"color: #008000;\">1<\/span> ,' <span style=\"color: #ff0000;\">D<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Questo particolare esempio calcola la differenza tra le date nelle colonne <strong>end_date<\/strong> e <strong>start_date<\/strong> in termini di giorni.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tieni presente che possiamo sostituire la &#8220;D&#8221; nella funzione <strong>timedelta64()<\/strong> con i seguenti valori per calcolare la differenza di data in diverse unit\u00e0:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>W<\/strong> : Settimane<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>M<\/strong> : Mese<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Y<\/strong> : Anni<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Gli esempi seguenti mostrano come calcolare in pratica una differenza di data in un DataFrame Panda.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio 1: calcola la differenza tra due date con le colonne Datetime<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Supponiamo di avere i seguenti panda DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">start_date<\/span> ': pd. <span style=\"color: #3366ff;\">date_range<\/span> (start=' <span style=\"color: #ff0000;\">1\/5\/2020<\/span> ', periods= <span style=\"color: #008000;\">6<\/span> , freq=' <span style=\"color: #ff0000;\">W<\/span> '),\n                   ' <span style=\"color: #ff0000;\">end_date<\/span> ': pd. <span style=\"color: #3366ff;\">date_range<\/span> (start=' <span style=\"color: #ff0000;\">6\/1\/2020<\/span> ', periods= <span style=\"color: #008000;\">6<\/span> , freq=' <span style=\"color: #ff0000;\">M<\/span> ')})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  start_date end_date\n0 2020-01-05 2020-06-30\n1 2020-01-12 2020-07-31\n2 2020-01-19 2020-08-31\n3 2020-01-26 2020-09-30\n4 2020-02-02 2020-10-31\n5 2020-02-09 2020-11-30\n\n<span style=\"color: #008080;\">#view dtype of each column in DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">start_date datetime64[ns]\nend_date datetime64[ns]\ndtype:object<\/span><\/span>\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Poich\u00e9 entrambe le colonne nel DataFrame hanno gi\u00e0 un tipo <strong>datetime64<\/strong> , possiamo utilizzare la seguente sintassi per calcolare la differenza tra le date di inizio e di fine:<\/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 style=\"color: #008080;\">#create new columns that contains date differences\n<\/span>df[' <span style=\"color: #ff0000;\">diff_days<\/span> '] = (df[' <span style=\"color: #ff0000;\">end_date<\/span> '] - df[' <span style=\"color: #ff0000;\">start_date<\/span> ']) \/ np. <span style=\"color: #3366ff;\">timedelta64<\/span> ( <span style=\"color: #008000;\">1<\/span> ,' <span style=\"color: #ff0000;\">D<\/span> ')\ndf[' <span style=\"color: #ff0000;\">diff_weeks<\/span> '] = (df[' <span style=\"color: #ff0000;\">end_date<\/span> '] - df[' <span style=\"color: #ff0000;\">start_date<\/span> ']) \/ np. <span style=\"color: #3366ff;\">timedelta64<\/span> ( <span style=\"color: #008000;\">1<\/span> ,' <span style=\"color: #ff0000;\">W<\/span> ')\ndf[' <span style=\"color: #ff0000;\">diff_months<\/span> '] = (df[' <span style=\"color: #ff0000;\">end_date<\/span> '] - df[' <span style=\"color: #ff0000;\">start_date<\/span> ']) \/ np. <span style=\"color: #3366ff;\">timedelta64<\/span> ( <span style=\"color: #008000;\">1<\/span> ,' <span style=\"color: #ff0000;\">M<\/span> ')\ndf[' <span style=\"color: #ff0000;\">diff_years<\/span> '] = (df[' <span style=\"color: #ff0000;\">end_date<\/span> '] - df[' <span style=\"color: #ff0000;\">start_date<\/span> ']) \/ np. <span style=\"color: #3366ff;\">timedelta64<\/span> ( <span style=\"color: #008000;\">1<\/span> ,' <span style=\"color: #ff0000;\">Y<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  start_date end_date diff_days diff_weeks diff_months diff_years\n0 2020-01-05 2020-06-30 177.0 25.285714 5.815314 0.484610\n1 2020-01-12 2020-07-31 201.0 28.714286 6.603832 0.550319\n2 2020-01-19 2020-08-31 225.0 32.142857 7.392349 0.616029\n3 2020-01-26 2020-09-30 248.0 35.428571 8.148011 0.679001\n4 2020-02-02 2020-10-31 272.0 38.857143 8.936528 0.744711\n5 2020-02-09 2020-11-30 295.0 42.142857 9.692191 0.807683\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Le nuove colonne contengono le differenze di data tra le date di inizio e di fine in termini di giorni, settimane, mesi e anni.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio 2: calcola la differenza tra due date con colonne stringa<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Supponiamo di avere i seguenti panda DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">start_date<\/span> ': ['2020-01-05', '2020-01-12', '2020-01-19'],\n                   ' <span style=\"color: #ff0000;\">end_date<\/span> ': ['2020-06-30', '2020-07-31', '2020-08-31']})\n\n<span style=\"color: #008080;\">#view dtype of each column<\/span>\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.dtypes<\/span> )\n\nstart_date object\nend_date object\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Poich\u00e9 nessuna delle colonne del DataFrame ha un tipo <strong>datetime64<\/strong> , riceveremo un errore se proviamo a calcolare la differenza tra le date:<\/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 style=\"color: #008080;\">#attempt to calculate date difference\n<\/span>df[' <span style=\"color: #ff0000;\">diff_days<\/span> '] = (df[' <span style=\"color: #ff0000;\">end_date<\/span> '] - df[' <span style=\"color: #ff0000;\">start_date<\/span> ']) \/ np. <span style=\"color: #3366ff;\">timedelta64<\/span> ( <span style=\"color: #008000;\">1<\/span> ,' <span style=\"color: #ff0000;\">D<\/span> ')\n\n<span style=\"color: #ff0000;\">TypeError<\/span> : unsupported operand type(s) for -: 'str' and 'str'\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Devi prima utilizzare <strong>pd.to_datetime<\/strong> per convertire ogni colonna nel formato datetime prima di calcolare la differenza tra le date:<\/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 style=\"color: #008080;\">#convert columns to datetime\n<\/span>df[[' <span style=\"color: #ff0000;\">start_date<\/span> ', ' <span style=\"color: #ff0000;\">end_date<\/span> ']] = df[[' <span style=\"color: #ff0000;\">start_date<\/span> ', ' <span style=\"color: #ff0000;\">end_date<\/span> ']]. <span style=\"color: #3366ff;\">apply<\/span> (pd. <span style=\"color: #3366ff;\">to_datetime<\/span> )\n\n<span style=\"color: #008080;\">#calculate difference between dates\n<\/span>df[' <span style=\"color: #ff0000;\">diff_days<\/span> '] = (df[' <span style=\"color: #ff0000;\">end_date<\/span> '] - df[' <span style=\"color: #ff0000;\">start_date<\/span> ']) \/ np. <span style=\"color: #3366ff;\">timedelta64<\/span> ( <span style=\"color: #008000;\">1<\/span> ,' <span style=\"color: #ff0000;\">D<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  start_date end_date diff_days\n0 2020-01-05 2020-06-30 177.0\n1 2020-01-12 2020-07-31 201.0\n2 2020-01-19 2020-08-31 225.0\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Poich\u00e9 per prima cosa abbiamo convertito ciascuna colonna nel formato data\/ora, siamo stati in grado di calcolare con successo la differenza tra le date senza errori.<\/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 eseguire altre operazioni comuni nei panda:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/it\/intervallo-di-date-del-panda\/\" target=\"_blank\" rel=\"noopener\">Come creare un intervallo di date in Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/i-panda-estraggono-il-mese-dalla-data\/\" target=\"_blank\" rel=\"noopener\">Come estrarre il mese dalla data in Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/data-e-ora-del-timestamp-dei-panda\/\" target=\"_blank\" rel=\"noopener\">Come convertire il timestamp in data\/ora in Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00c8 possibile utilizzare la seguente sintassi per calcolare una differenza tra due date in un DataFrame panda: df[&#8216; diff_days &#8216;] = (df[&#8216; end_date &#8216;] &#8211; df[&#8216; start_date &#8216;]) \/ np. timedelta64 ( 1 ,&#8217; D &#8216;) Questo particolare esempio calcola la differenza tra le date nelle colonne end_date e start_date in termini di giorni. Tieni [&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>Panda: come calcolare la differenza tra due date - Statorials<\/title>\n<meta name=\"description\" content=\"Questo tutorial spiega come calcolare una differenza di data tra due date in un DataFrame panda, 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\/differenza-di-data-dei-panda\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Panda: come calcolare la differenza tra due date - Statorials\" \/>\n<meta property=\"og:description\" content=\"Questo tutorial spiega come calcolare una differenza di data tra due date in un DataFrame panda, con diversi esempi.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T20:21:26+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=\"3 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/\",\"url\":\"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/\",\"name\":\"Panda: come calcolare la differenza tra due date - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/it\/#website\"},\"datePublished\":\"2023-07-19T20:21:26+00:00\",\"dateModified\":\"2023-07-19T20:21:26+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/it\/#\/schema\/person\/0896f191fb9fb019f2cd8623112cb3ae\"},\"description\":\"Questo tutorial spiega come calcolare una differenza di data tra due date in un DataFrame panda, con diversi esempi.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Casa\",\"item\":\"https:\/\/statorials.org\/it\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Panda: come calcolare la differenza tra due date\"}]},{\"@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. Con una vasta esperienza e competenza nel campo della statistica, sono ansioso di condividere le mie conoscenze per potenziare gli studenti attraverso Statorials. Scopri di pi\u00f9\",\"sameAs\":[\"https:\/\/statorials.org\/it\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Panda: come calcolare la differenza tra due date - Statorials","description":"Questo tutorial spiega come calcolare una differenza di data tra due date in un DataFrame panda, con diversi esempi.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/","og_locale":"it_IT","og_type":"article","og_title":"Panda: come calcolare la differenza tra due date - Statorials","og_description":"Questo tutorial spiega come calcolare una differenza di data tra due date in un DataFrame panda, con diversi esempi.","og_url":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/","og_site_name":"Statorials","article_published_time":"2023-07-19T20:21:26+00:00","author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Benjamin anderson","Est. reading time":"3 minuti"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/","url":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/","name":"Panda: come calcolare la differenza tra due date - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/it\/#website"},"datePublished":"2023-07-19T20:21:26+00:00","dateModified":"2023-07-19T20:21:26+00:00","author":{"@id":"https:\/\/statorials.org\/it\/#\/schema\/person\/0896f191fb9fb019f2cd8623112cb3ae"},"description":"Questo tutorial spiega come calcolare una differenza di data tra due date in un DataFrame panda, con diversi esempi.","breadcrumb":{"@id":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/#breadcrumb"},"inLanguage":"it-IT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/it\/differenza-di-data-dei-panda\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Casa","item":"https:\/\/statorials.org\/it\/"},{"@type":"ListItem","position":2,"name":"Panda: come calcolare la differenza tra due date"}]},{"@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. Con una vasta esperienza e competenza nel campo della statistica, sono ansioso di condividere le mie conoscenze per potenziare gli studenti attraverso Statorials. Scopri di pi\u00f9","sameAs":["https:\/\/statorials.org\/it"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/posts\/2973"}],"collection":[{"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/comments?post=2973"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/posts\/2973\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/media?parent=2973"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/categories?post=2973"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/it\/wp-json\/wp\/v2\/tags?post=2973"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}