{"id":1262,"date":"2023-07-27T02:31:55","date_gmt":"2023-07-27T02:31:55","guid":{"rendered":"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/"},"modified":"2023-07-27T02:31:55","modified_gmt":"2023-07-27T02:31:55","slug":"kelompok-panda-berdasarkan-nomor","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/","title":{"rendered":"Cara menghitung penampakan kelompok pada panda"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Seringkali Anda mungkin tertarik untuk menghitung jumlah <a href=\"https:\/\/statorials.org\/id\/pengamatan-dalam-statistik\/\" target=\"_blank\" rel=\"noopener noreferrer\">observasi<\/a> per grup di pandas DataFrame.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untungnya, hal ini mudah dilakukan menggunakan fungsi <strong>groupby()<\/strong> dan <strong>size()<\/strong> dengan sintaks berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #008000;\">column_name<\/span> '). <span style=\"color: #3366ff;\">size<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan beberapa contoh penggunaan praktis fungsi ini menggunakan bingkai data berikut:<\/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<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#create pandas DataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'team': ['A', 'A', 'B', 'B', 'B', 'C', 'C'],\n                   'division':['E', 'W', 'E', 'E', 'W', 'W', 'E'],\n                   'rebounds': [11, 8, 7, 6, 6, 5, 12]})\n\n<span style=\"color: #008080;\">#display DataFrame\n<\/span><span style=\"color: #993300;\">print<\/span> (df)\n\n  team division rebounds\n0 AE 11\n1 AW 8\n2 BE 7\n3 BE 6\n4 BW 6\n5 CW 5\n6 CE 12<\/strong><\/pre>\n<h3> <strong>Contoh 1: menghitung berdasarkan variabel<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung jumlah total observasi per tim:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#count total observations by variable 'team'<\/span>\ndf. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #008000;\">team<\/span> '). <span style=\"color: #3366ff;\">size<\/span> ()\n\nteam\nAt 2\nB 3\nC 2\ndtype: int64\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dari hasilnya kita dapat melihat bahwa:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Tim A mempunyai 2 observasi<\/span><\/li>\n<li> <span style=\"color: #000000;\">Tim B mempunyai 3 observasi<\/span><\/li>\n<li> <span style=\"color: #000000;\">Tim C mempunyai 2 observasi<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kode sebelumnya menghasilkan rangkaian. Dalam kebanyakan kasus, kita ingin bekerja dengan DataFrame, jadi kita bisa menggunakan fungsi <strong>reset_index()<\/strong> untuk menghasilkan DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #008000;\">team<\/span> '). <span style=\"color: #3366ff;\">size<\/span> (). <span style=\"color: #3366ff;\">reset_index<\/span> (name=' <span style=\"color: #008000;\">obs<\/span> ')\n\n        team obs\n0 to 2\n1 B 3\n2 C 2\n<\/strong><\/pre>\n<h3> <strong>Contoh 2: menghitung dan mengurutkan berdasarkan variabel<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kita juga bisa menggunakan fungsi <strong>sort_values()<\/strong> untuk mengurutkan jumlah grup.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kita dapat menentukan <strong>ascending=False<\/strong> untuk mengurutkan jumlah grup dari yang terbesar ke yang terkecil atau <strong>ascending=True<\/strong> untuk mengurutkan dari yang terkecil ke yang terbesar:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #008000;\">team<\/span> '). <span style=\"color: #3366ff;\">size<\/span> (). <span style=\"color: #3366ff;\">reset_index<\/span> (name=' <span style=\"color: #008000;\">obs<\/span> '). <span style=\"color: #3366ff;\">sort_values<\/span> ([' <span style=\"color: #008000;\">obs<\/span> '], ascending= <span style=\"color: #008000;\">True<\/span> )\n\n        team obs\n0 to 2\n2 C 2\n1 B 3<\/strong><\/pre>\n<h3> <strong>Contoh 3: Menghitung dengan beberapa variabel<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kita juga dapat menghitung jumlah observasi yang dikelompokkan berdasarkan beberapa variabel dalam pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#count observations grouped by team and division<\/span>\ndf. <span style=\"color: #3366ff;\">groupby<\/span> ([' <span style=\"color: #008000;\">team<\/span> ',' <span style=\"color: #008000;\">division<\/span> ']). <span style=\"color: #3366ff;\">size<\/span> (). <span style=\"color: #3366ff;\">reset_index<\/span> (name=' <span style=\"color: #008000;\">obs<\/span> ')\n\n        team division obs\n0 A E 1\n1 A W 1\n2 B E 2\n3 B W 1\n4 C E 1\n5 C W 1\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Dari hasilnya kita dapat melihat bahwa:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">1 observasi menjadi milik tim A dan divisi E<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 observasi menjadi milik tim A dan divisi W<\/span><\/li>\n<li> <span style=\"color: #000000;\">2 observasi milik tim B dan divisi E<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 observasi menjadi milik tim B dan divisi W<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 observasi menjadi milik tim C dan divisi E<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 observasi menjadi milik tim C dan divisi W<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/id\/adalah-kolom-panda\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cara menghitung jumlah kolom di Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kolom-panda-rata-rata\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cara menghitung rata-rata kolom di Pandas<\/a><br \/> Bagaimana menemukan nilai maksimum kolom di Pandas<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Seringkali Anda mungkin tertarik untuk menghitung jumlah observasi per grup di pandas DataFrame. Untungnya, hal ini mudah dilakukan menggunakan fungsi groupby() dan size() dengan sintaks berikut: df. groupby (&#8216; column_name &#8216;). size () Tutorial ini menjelaskan beberapa contoh penggunaan praktis fungsi ini menggunakan bingkai data berikut: import numpy as np import pandas as pd #create [&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>Cara menghitung penampakan kelompok panda \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung jumlah total observasi per grup di pandas DataFrame, 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\/kelompok-panda-berdasarkan-nomor\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung penampakan kelompok panda \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung jumlah total observasi per grup di pandas DataFrame, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T02:31:55+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=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/\",\"url\":\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/\",\"name\":\"Cara menghitung penampakan kelompok panda \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-27T02:31:55+00:00\",\"dateModified\":\"2023-07-27T02:31:55+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung jumlah total observasi per grup di pandas DataFrame, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung penampakan kelompok pada panda\"}]},{\"@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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