{"id":2381,"date":"2023-07-22T12:53:04","date_gmt":"2023-07-22T12:53:04","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-lebar-hingga-panjang\/"},"modified":"2023-07-22T12:53:04","modified_gmt":"2023-07-22T12:53:04","slug":"panda-lebar-hingga-panjang","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-lebar-hingga-panjang\/","title":{"rendered":"Pandas: cara membentuk ulang dataframe dari lebar ke panjang"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan sintaks dasar berikut untuk mengonversi pandas DataFrame dari format lebar ke format panjang:<\/span><\/p>\n

 df = pd. melt<\/span> (df, id_vars=' col1<\/span> ', value_vars=[' col2<\/span> ', ' col3<\/span> ', ...])\n<\/strong><\/pre>\n
 Dalam skenario ini, col1<\/strong> adalah kolom yang kita gunakan sebagai pengidentifikasi dan col2<\/strong> , col3<\/strong> , dll. adalah kolom yang porosnya kita batalkan.<\/span><\/p>\n
 Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n
 Contoh: Bentuk ulang Pandas DataFrame dari lebar menjadi panjang<\/strong><\/span><\/h3>\n
 Misalkan kita memiliki panda DataFrame berikut:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D'],\n                   ' points<\/span> ': [88, 91, 99, 94],\n                   ' assists<\/span> ': [12, 17, 24, 28],\n                   ' rebounds<\/span> ': [22, 28, 30, 31]})\n\n#view DataFrame\n<\/span>df\n\n\tteam points assists rebounds\n0 A 88 12 22\n1 B 91 17 28\n2 C 99 24 30\n3 D 94 28 31<\/span><\/span><\/strong><\/pre>\n
 Kita dapat menggunakan sintaks berikut untuk membentuk ulang DataFrame ini dari format lebar ke format panjang:<\/span><\/p>\n
 #reshape DataFrame from wide format to long format\ndf = pd. melt<\/span> (df, id_vars=' team<\/span> ', value_vars=[' points<\/span> ', ' assists<\/span> ', ' rebounds<\/span> '])\n<\/span>\n#view updated DataFrame\ndf\n\n\tteam variable value\n0 A points<\/span> 88\n1 B points<\/span> 91\n2 C dots<\/span> 9<\/span> 9\n3 D dots<\/span> 94\n4 A assists<\/span> 12\n5 B assists<\/span> 17\n6 C assists<\/span> 24\n7 D assists<\/span> 28\n8 A rebounds 22\n9 B rebounds 28\n10 C rebounds 30\n11 D rebounds 31<\/span><\/span><\/strong><\/pre>\n
 DataFrame sekarang dalam format panjang.<\/span><\/p>\n
 Kami menggunakan kolom “tim” sebagai kolom identifikasi dan menghapus kolom “poin”, “bantuan”, dan “pantulan”.<\/span><\/p>\n
 Perhatikan bahwa kita juga dapat menggunakan argumen var_name<\/strong> dan value_name<\/strong> untuk menentukan nama kolom di DataFrame panjang yang baru:<\/span><\/p>\n
 #reshape DataFrame from wide format to long format\n<\/span>df = pd. melt<\/span> (df, id_vars=' team<\/span> ', value_vars=[' points<\/span> ', ' assists<\/span> ', ' rebounds<\/span> '],\n             var_name=' metric<\/span> ', value_name=' amount<\/span> ')\n\n#view updated DataFrame\n<\/span>df\n\n\tteam metric amount\n0 A points 88\n1 B points 91\n2 C points 99\n3 D dots 94\n4 A assists 12\n5 B assists 17\n6 C assists 24\n7 D assists 28\n8 A rebounds 22\n9 B rebounds 28\n10 C rebounds 30\n11 D rebounds 31<\/span>\n<\/span><\/strong><\/pre>\n
 Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap fungsi pandasmelt()<\/strong> di sini<\/a> .<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan operasi umum lainnya dengan Python:<\/span><\/p>\n
 Bagaimana cara menambahkan baris ke Pandas DataFrame<\/a>
 Bagaimana cara menambahkan kolom ke Pandas DataFrame
 Cara menghitung kemunculan nilai tertentu di Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan sintaks dasar berikut untuk mengonversi pandas DataFrame dari format lebar ke format panjang: df = pd. melt (df, id_vars=’ col1 ‘, value_vars=[‘ col2 ‘, ‘ col3 ‘, …]) Dalam skenario ini, col1 adalah kolom yang kita gunakan sebagai pengidentifikasi dan col2 , col3 , dll. adalah kolom yang porosnya kita batalkan. Contoh […]<\/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":"\nPandas: Cara membentuk ulang DataFrame dari lebar ke panjang - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara membentuk ulang pandas DataFrame dari format lebar ke format panjang, 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\/panda-lebar-hingga-panjang\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Cara membentuk ulang DataFrame dari lebar ke panjang - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara membentuk ulang pandas DataFrame dari format lebar ke format panjang, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-lebar-hingga-panjang\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T12:53:04+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\/panda-lebar-hingga-panjang\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-lebar-hingga-panjang\/\",\"name\":\"Pandas: Cara membentuk ulang DataFrame dari lebar ke panjang - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-22T12:53:04+00:00\",\"dateModified\":\"2023-07-22T12:53:04+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara membentuk ulang pandas DataFrame dari format lebar ke format panjang, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-lebar-hingga-panjang\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-lebar-hingga-panjang\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-lebar-hingga-panjang\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: cara membentuk ulang dataframe dari lebar ke panjang\"}]},{\"@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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