{"id":2915,"date":"2023-07-20T02:59:24","date_gmt":"2023-07-20T02:59:24","guid":{"rendered":"https:\/\/statorials.org\/id\/mode-grup-panda\/"},"modified":"2023-07-20T02:59:24","modified_gmt":"2023-07-20T02:59:24","slug":"mode-grup-panda","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/mode-grup-panda\/","title":{"rendered":"Pandas: cara menghitung mode dalam objek groupby"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan sintaks berikut untuk menghitung <a href=\"https:\/\/statorials.org\/id\/pentingnya-modus\/\" target=\"_blank\" rel=\"noopener\">mode<\/a> dalam objek GroupBy di panda:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">group_var<\/span> '])[' <span style=\"color: #ff0000;\">value_var<\/span> ']. <span style=\"color: #3366ff;\">agg<\/span> ( <span style=\"color: #3366ff;\">pd.Series.mode<\/span> <span style=\"color: #3366ff;\">)<\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh: Mode hitung pada objek GroupBy<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki panda DataFrame berikut yang menunjukkan poin yang dicetak oleh pemain bola basket dari tim berbeda:<\/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', 'C', 'C', 'C'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [10, 10, 12, 15, 19, 23, 20, 20, 26]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points\n0 to 10\n1 to 10\n2 to 12\n3 to 15\n4 B 19\n5 B 23\n6 C 20\n7 C 20\n8 C 26<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan sintaks berikut untuk menghitung nilai fashion point untuk setiap tim:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mode points value for each team\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">team<\/span> '])[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">agg<\/span> ( <span style=\"color: #3366ff;\">pd.Series.mode<\/span> <span style=\"color: #3366ff;\">)<\/span>\n\nteam\nAt 10\nB [19, 23]\nC 20\nName: points, dtype: object\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Berikut cara menafsirkan hasilnya:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Nilai fashion point untuk Tim A adalah <strong>10<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Nilai fashion point untuk Tim B adalah <strong>19<\/strong> dan <strong>23<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Nilai fashion point untuk Tim C adalah <strong>20<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Jika grup memiliki beberapa mode, Anda dapat menggunakan sintaks berikut untuk menampilkan setiap mode pada baris berbeda:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#calculate mode points value for each team<\/span>\ndf. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #ff0000;\">team<\/span> '])[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #3366ff;\">pd.Series.mode<\/span> <span style=\"color: #3366ff;\">)<\/span>\n\nteam   \nAt 0 10\nB 0 19\n      1 23\nC 0 20\nName: points, dtype: int64<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap operasi GroupBy di pandas <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.groupby.html\" target=\"_blank\" rel=\"noopener\">di sini<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan operasi umum lainnya di panda:<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/id\/jumlah-kumulatif-panda-per-grup\/\" target=\"_blank\" rel=\"noopener\">Pandas: cara menghitung jumlah kumulatif per kelompok<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/panda-dikelompokkan-berdasarkan-jumlah-unik\/\" target=\"_blank\" rel=\"noopener\">Pandas: cara menghitung nilai unik berdasarkan kelompok<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-korelasi\/\" target=\"_blank\" rel=\"noopener\">Pandas: cara menghitung korelasi berdasarkan kelompok<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan sintaks berikut untuk menghitung mode dalam objek GroupBy di panda: df. groupby ([&#8216; group_var &#8216;])[&#8216; value_var &#8216;]. agg ( pd.Series.mode ) Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya. Contoh: Mode hitung pada objek GroupBy Misalkan kita memiliki panda DataFrame berikut yang menunjukkan poin yang dicetak oleh pemain bola basket dari [&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>Pandas: Cara menghitung mode dalam objek GroupBy - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung mode pada objek GroupBy di panda, dengan sebuah contoh.\" \/>\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\/id\/mode-grup-panda\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Cara menghitung mode dalam objek GroupBy - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung mode pada objek GroupBy di panda, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/mode-grup-panda\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T02:59:24+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/mode-grup-panda\/\",\"url\":\"https:\/\/statorials.org\/id\/mode-grup-panda\/\",\"name\":\"Pandas: Cara menghitung mode dalam objek GroupBy - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-20T02:59:24+00:00\",\"dateModified\":\"2023-07-20T02:59:24+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung mode pada objek GroupBy di panda, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/mode-grup-panda\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/mode-grup-panda\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/mode-grup-panda\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: cara menghitung mode dalam objek groupby\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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