{"id":3128,"date":"2023-07-19T02:04:14","date_gmt":"2023-07-19T02:04:14","guid":{"rendered":"https:\/\/statorials.org\/id\/kumpulan-data-sampel-panda\/"},"modified":"2023-07-19T02:04:14","modified_gmt":"2023-07-19T02:04:14","slug":"kumpulan-data-sampel-panda","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kumpulan-data-sampel-panda\/","title":{"rendered":"Cara mengakses contoh kumpulan data di pandas"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">Seringkali Anda mungkin ingin mengakses contoh kumpulan data di panda untuk memainkan dan mempraktikkan fungsi yang berbeda.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">Untungnya, Anda dapat membuat contoh kumpulan data panda menggunakan fungsi <strong>pengujian<\/strong> bawaan.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan fitur ini.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Buat kumpulan data Pandas dengan semua kolom numerik<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat dataset pandas dengan semua kolom numerik:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create sample dataset<\/span>\ndf1 = pd. <span style=\"color: #3366ff;\">util<\/span> . <span style=\"color: #3366ff;\">testing<\/span> . <span style=\"color: #3366ff;\">makeDataFrame<\/span> ()\n\n<span style=\"color: #008080;\">#view dimensions of dataset<\/span>\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df1.shape<\/span> )\n\n(30, 4)\n\n<span style=\"color: #008080;\">#view first five rows of dataset<\/span>\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df1.head<\/span> ())\n\n                   ABCD\ns8tpz0W5mF -0.751223 0.956338 -0.441847 0.695612\nCXQ9YhLhk8 -0.210881 -0.231347 -0.227672 -0.616171\nKAbcor6sQK 0.727880 0.128638 -0.989993 1.094069\nIH3bptMpdb -1.599723 1.570162 -0.221688 2.194936\ngar9ZxBTrH 0.025171 -0.446555 0.169873 -1.583553\n<\/b><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Secara default, fungsi <strong>makeDataFrame()<\/strong> membuat DataFrame panda dengan 30 baris dan 4 kolom yang semua kolomnya berupa angka.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2: Buat Kumpulan Data Pandas dengan Kolom Campuran<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat dataset pandas dengan semua kolom numerik:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create sample dataset<\/span>\ndf2 = pd. <span style=\"color: #3366ff;\">util<\/span> . <span style=\"color: #3366ff;\">testing<\/span> . <span style=\"color: #3366ff;\">makeMixedDataFrame<\/span> ()\n\n<span style=\"color: #008080;\">#view dimensions of dataset<\/span>\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df2.shape<\/span> )\n\n(5, 4)\n\n<span style=\"color: #008080;\">#view first five rows of dataset<\/span>\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df2.head<\/span> ())\n\n     ABCD\n0 0.0 0.0 foo1 2009-01-01\n1 1.0 1.0 foo2 2009-01-02\n2 2.0 0.0 foo3 2009-01-05\n3 3.0 1.0 foo4 2009-01-06\n4 4.0 0.0 foo5 2009-01-07\n<\/b><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Secara default, fungsi <strong>makeMixedDataFrame()<\/strong> membuat Pandas DataFrame dengan 5 baris dan 4 kolom yang kolomnya merupakan berbagai tipe data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan kode berikut untuk menampilkan <a href=\"https:\/\/statorials.org\/id\/pandas-periksa-dtype-semua-kolom\/\" target=\"_blank\" rel=\"noopener\">tipe data setiap kolom<\/a> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #008080;\">#display data type of each column\n<span style=\"color: #000000;\">df2. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">A float64\nB float64\nC object\nD datetime64[ns]\ndtype:object<\/span><\/span><\/span>\n<\/span><\/b><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Dari hasilnya kita dapat melihat:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Kolom A adalah angka<\/span><\/li>\n<li> <span style=\"color: #000000;\">Kolom B adalah angka<\/span><\/li>\n<li> <span style=\"color: #000000;\">Kolom C adalah string<\/span><\/li>\n<li> <span style=\"color: #000000;\">Kolom D adalah tanggal<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 3: Buat Kumpulan Data Pandas dengan Nilai yang Hilang<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat dataset pandas dengan nilai yang hilang di berbagai kolom:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create sample dataset<\/span>\ndf3 = pd. <span style=\"color: #3366ff;\">util<\/span> . <span style=\"color: #3366ff;\">testing<\/span> . <span style=\"color: #3366ff;\">makeMissingDataFrame<\/span> ()\n\n<span style=\"color: #008080;\">#view dimensions of dataset<\/span>\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df3.shape<\/span> )\n\n(30, 4)\n\n<span style=\"color: #008080;\">#view first five rows of dataset<\/span>\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df3.head<\/span> ())\n\n                   ABCD\nYgAQaNaGfG 0.444376 -2.264920 1.117377 -0.087507\nJoT4KxJeHd 1.913939 1.287006 -0.331315 -0.392949\ntyrA2P6wz3 NaN 2.988521 0.399583 0.095831\n1qvPc9DU1t 0.028716 1.311452 -0.237756 -0.150362\n3aAXYtXjIO -1.069339 0.332067 0.204074 NaN\n<\/b><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Secara default, fungsi <strong>makeMissingDataFrame()<\/strong> membuat pandas DataFrame dengan 30 baris dan 4 kolom yang di dalamnya terdapat nilai yang hilang (NaN) di kolom yang berbeda.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Fitur ini sangat berguna karena memungkinkan Anda bekerja dengan kumpulan data yang memiliki nilai yang hilang, hal yang umum terjadi pada kumpulan data dunia nyata.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong><span style=\"color: #000000;\">Sumber daya tambahan<\/span><\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di panda:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/panda-menghasilkan-data-acak\/\" target=\"_blank\" rel=\"noopener\">Cara membuat Pandas DataFrame dengan data acak<\/a><br \/> Cara mengambil sampel baris secara acak di Pandas<br \/> Cara mengacak baris di Pandas DataFrame<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Seringkali Anda mungkin ingin mengakses contoh kumpulan data di panda untuk memainkan dan mempraktikkan fungsi yang berbeda. Untungnya, Anda dapat membuat contoh kumpulan data panda menggunakan fungsi pengujian bawaan. Contoh berikut menunjukkan cara menggunakan fitur ini. Contoh 1: Buat kumpulan data Pandas dengan semua kolom numerik Kode berikut menunjukkan cara membuat dataset pandas dengan semua [&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 mengakses contoh kumpulan data di Pandas - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara mengakses contoh dataset di panda untuk dimainkan, termasuk contohnya.\" \/>\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\/kumpulan-data-sampel-panda\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara mengakses contoh kumpulan data di Pandas - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara mengakses contoh dataset di panda untuk dimainkan, termasuk contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kumpulan-data-sampel-panda\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T02:04:14+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\/kumpulan-data-sampel-panda\/\",\"url\":\"https:\/\/statorials.org\/id\/kumpulan-data-sampel-panda\/\",\"name\":\"Cara mengakses contoh kumpulan data di Pandas - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-19T02:04:14+00:00\",\"dateModified\":\"2023-07-19T02:04:14+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara mengakses contoh dataset di panda untuk dimainkan, termasuk contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kumpulan-data-sampel-panda\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kumpulan-data-sampel-panda\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kumpulan-data-sampel-panda\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara mengakses contoh kumpulan data di pandas\"}]},{\"@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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