{"id":4370,"date":"2023-07-11T15:30:48","date_gmt":"2023-07-11T15:30:48","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-diindeks-ulang-dari-1\/"},"modified":"2023-07-11T15:30:48","modified_gmt":"2023-07-11T15:30:48","slug":"panda-diindeks-ulang-dari-1","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-diindeks-ulang-dari-1\/","title":{"rendered":"Pandas: cara mengindeks ulang baris mulai dari 1"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan sintaks dasar berikut untuk mengindeks ulang baris pandas DataFrame mulai dari 1, bukan 0:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd<\/span>\nimport<\/span> numpy as<\/span> np<\/span>\n<\/span><\/span>\ndf. index<\/span> = np. arange<\/span> (1, len<\/span> (df)+1)\n<\/strong><\/pre>\n
 Fungsi NumPy arange()<\/strong> membuat array mulai dari 1 yang bertambah dengan kelipatan 1 hingga panjang keseluruhan DataFrame ditambah 1.<\/span><\/p>\n
 Array ini kemudian digunakan sebagai indeks DataFrame.<\/span><\/p>\n
 Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n
 Contoh: indeks ulang baris Pandas DataFrame mulai dari 1<\/strong><\/span><\/h2>\n
 Misalkan kita memiliki pandas DataFrame berikut yang berisi informasi tentang berbagai pemain bola basket:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n                   \n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12<\/strong><\/pre>\n
 Perhatikan bahwa indeks saat ini berkisar antara 0 hingga 7.<\/span><\/span><\/p>\n
 Untuk mengindeks ulang nilai dari indeks ke kolom mulai dari 1, kita dapat menggunakan sintaks berikut:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n<\/span>\n#reindex values in index to start from 1\n<\/span>df. index<\/span> = np. arange<\/span> (1, len<\/span> (df)+1)\n\n#view updated DataFrame<\/span>\nprint<\/span> (df)\n\n  team points assists rebounds\n1 A 18 5 11\n2 B 22 7 8\n3 C 19 7 10\n4 D 14 9 6\n5 E 14 12 6\n6 F 11 9 5\n7 G 20 9 9\n8:28 a.m. 4:12\n<\/strong><\/pre>\n
 Perhatikan bahwa nilai indeks sekarang dimulai dari 1.<\/span><\/p>\n
 Catatan #1<\/strong> : Keuntungan menggunakan fungsi len()<\/strong> untuk mencari jumlah baris di DataFrame adalah kita tidak perlu mengetahui berapa banyak baris di DataFrame sebelum membuat array baru. nilai indeks.<\/span><\/p>\n
 Catatan #2<\/strong> : Anda dapat menemukan dokumentasi lengkap untuk fungsi NumPy arange()<\/strong> di sini<\/a> .<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h2>\n
 Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di panda:<\/span><\/p>\n
 Cara menghapus nama indeks di Pandas<\/a>
 Cara meratakan MultiIndex di Pandas<\/a>
 Cara mendapatkan nilai unik dari indeks di Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan sintaks dasar berikut untuk mengindeks ulang baris pandas DataFrame mulai dari 1, bukan 0: import pandas as pd import numpy as np df. index = np. arange (1, len (df)+1) Fungsi NumPy arange() membuat array mulai dari 1 yang bertambah dengan kelipatan 1 hingga panjang keseluruhan DataFrame ditambah 1. Array ini kemudian […]<\/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 mengindeks ulang baris mulai dari 1 \u2013 Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara mengindeks ulang baris DataFrame pandas mulai dari 1, bukan 0, 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-diindeks-ulang-dari-1\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Cara mengindeks ulang baris mulai dari 1 \u2013 Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara mengindeks ulang baris DataFrame pandas mulai dari 1, bukan 0, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-diindeks-ulang-dari-1\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-11T15:30:48+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\/panda-diindeks-ulang-dari-1\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-diindeks-ulang-dari-1\/\",\"name\":\"Pandas: Cara mengindeks ulang baris mulai dari 1 \u2013 Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-11T15:30:48+00:00\",\"dateModified\":\"2023-07-11T15:30:48+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara mengindeks ulang baris DataFrame pandas mulai dari 1, bukan 0, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-diindeks-ulang-dari-1\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-diindeks-ulang-dari-1\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-diindeks-ulang-dari-1\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: cara mengindeks ulang baris mulai dari 1\"}]},{\"@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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