{"id":3006,"date":"2023-07-19T16:28:39","date_gmt":"2023-07-19T16:28:39","guid":{"rendered":"https:\/\/statorials.org\/it\/panda-groupby-a-dataframe\/"},"modified":"2023-07-19T16:28:39","modified_gmt":"2023-07-19T16:28:39","slug":"panda-groupby-a-dataframe","status":"publish","type":"post","link":"https:\/\/statorials.org\/it\/panda-groupby-a-dataframe\/","title":{"rendered":"Come convertire l&#39;output di pandas groupby in dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Questo tutorial spiega come convertire l&#8217;output di un panda GroupBy in un panda DataFrame.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Esempio: converti l&#8217;output Pandas GroupBy in DataFrame<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Supponiamo di avere il seguente DataFrame panda che mostra i punti segnati da giocatori di basket di diverse squadre:<\/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;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">position<\/span> ': ['G', 'G', 'F', 'C', 'G', 'F', 'F', 'F'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [5, 7, 7, 10, 12, 22, 15, 10]})\n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n  team position points\n0 AG 5\n1 AG 7\n2AF 7\n3 AC 10\n4 BG 12\n5 BF 22\n6 BF 15\n7 BF 10\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Possiamo usare la seguente sintassi per contare il numero di giocatori, raggruppati per <strong>squadra<\/strong> e <strong>posizione<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#count number of players, grouped by team and position\n<span style=\"color: #000000;\">group = df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> ']). <span style=\"color: #3366ff;\">size<\/span> ()\n<\/span>\n#viewoutput\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (group)\n\nteam position\nAC 1\n      F 1\n      G2\nBF 3\n      G 1\ndtype: int64\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dall&#8217;output, possiamo vedere il numero totale di giocatori, raggruppati per <strong>squadra<\/strong> e <strong>posizione<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tuttavia, supponiamo che vogliamo che il nostro output mostri il nome della squadra in ogni riga in questo modo:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>team position count\n0 AC 1\n1 AF 1\n2 AG 2\n3 BF 3\n4 BG 1\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Per ottenere questo risultato, possiamo semplicemente utilizzare <strong>reset_index()<\/strong> durante l&#8217;esecuzione di GroupBy:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#count number of players, grouped by team and position\n<\/span>df_out = df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">position<\/span> ']). <span style=\"color: #3366ff;\">size<\/span> (). <span style=\"color: #3366ff;\">reset_index<\/span> (name=' <span style=\"color: #ff0000;\">count<\/span> ')\n\n<span style=\"color: #008000;\"><span style=\"color: #008080;\">#viewoutput\n<\/span>print<\/span> (df_out)\n\n  team position count\n0 AC 1\n1 AF 1\n2 AG 2\n3 BF 3\n4 BG 1\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">L&#8217;output ora appare nel formato desiderato.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">Si noti che l&#8217;argomento <strong>name<\/strong> in <strong>reset_index()<\/strong> specifica il nome della nuova colonna prodotta da GroupBy.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Possiamo anche confermare che il risultato \u00e8 effettivamente un DataFrame panda:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#display object type of df_out\n<\/span><span style=\"color: #008000;\">type<\/span> (df_out)\n\npandas.core.frame.DataFrame\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Nota<\/strong> : puoi trovare la documentazione completa dell&#8217;operazione GroupBy in panda <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.groupby.html\" target=\"_blank\" rel=\"noopener\">qui<\/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 eseguire altre operazioni comuni nei panda:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/it\/somma-cumulativa-dei-panda-per-gruppo\/\" target=\"_blank\" rel=\"noopener\">Panda: come calcolare il cumulato per gruppo<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/panda-groupby-conta-unico\/\" target=\"_blank\" rel=\"noopener\">Panda: come contare i valori unici per gruppo<\/a><br \/> <a href=\"https:\/\/statorials.org\/it\/gruppo-di-panda-per-correlazione\/\" target=\"_blank\" rel=\"noopener\">Panda: come calcolare la correlazione per gruppo<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Questo tutorial spiega come convertire l&#8217;output di un panda GroupBy in un panda DataFrame. Esempio: converti l&#8217;output Pandas GroupBy in DataFrame Supponiamo di avere il seguente DataFrame panda che mostra i punti segnati da giocatori di basket di diverse squadre: import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; team &#8216;: [&#8216;A&#8217;, &#8216;A&#8217;, &#8216;A&#8217;, [&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 convertire l&#039;output di Pandas GroupBy in DataFrame - Stology<\/title>\n<meta name=\"description\" content=\"Questo tutorial spiega come convertire un oggetto GroupBy panda in un DataFrame panda, con un esempio.\" \/>\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\/panda-groupby-a-dataframe\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Come convertire l&#039;output di Pandas GroupBy in DataFrame - Stology\" \/>\n<meta property=\"og:description\" content=\"Questo tutorial spiega come convertire un oggetto GroupBy panda in un DataFrame panda, con un esempio.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/it\/panda-groupby-a-dataframe\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T16:28:39+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\/panda-groupby-a-dataframe\/\",\"url\":\"https:\/\/statorials.org\/it\/panda-groupby-a-dataframe\/\",\"name\":\"Come convertire l&#39;output di Pandas GroupBy in DataFrame - Stology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/it\/#website\"},\"datePublished\":\"2023-07-19T16:28:39+00:00\",\"dateModified\":\"2023-07-19T16:28:39+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/it\/#\/schema\/person\/0896f191fb9fb019f2cd8623112cb3ae\"},\"description\":\"Questo tutorial spiega come convertire un oggetto GroupBy panda in un DataFrame panda, con un esempio.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/it\/panda-groupby-a-dataframe\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/it\/panda-groupby-a-dataframe\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/it\/panda-groupby-a-dataframe\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Casa\",\"item\":\"https:\/\/statorials.org\/it\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Come convertire l&#39;output di pandas groupby in dataframe\"}]},{\"@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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