{"id":1302,"date":"2023-07-26T23:04:48","date_gmt":"2023-07-26T23:04:48","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/"},"modified":"2023-07-26T23:04:48","modified_gmt":"2023-07-26T23:04:48","slug":"panda-menjatuhkan-duplikat","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/","title":{"rendered":"Cara menghapus baris duplikat di pandas dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Cara termudah untuk menghapus baris duplikat di pandas DataFrame adalah dengan menggunakan fungsi <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.drop_duplicates.html\" target=\"_blank\" rel=\"noopener\">drop_duplications()<\/a> , yang menggunakan sintaks berikut:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>df.drop_duplikat(subset=Tidak ada, simpan=&#8217;pertama&#8217;, inplace=False)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Emas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>subset:<\/strong> kolom mana yang harus diperhitungkan untuk mengidentifikasi duplikat. Standarnya adalah semua kolom.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>keep:<\/strong> Menentukan duplikat mana (jika ada) yang akan disimpan.<\/span>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>pertama:<\/strong> Hapus semua baris duplikat kecuali yang pertama.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>terakhir:<\/strong> menghapus semua baris duplikat kecuali yang terakhir.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Salah<\/strong> : Hapus semua duplikat.<\/span><\/li>\n<\/ul>\n<\/li>\n<li> <span style=\"color: #000000;\"><strong>inplace:<\/strong> Menunjukkan apakah akan menghapus duplikat di tempatnya atau mengembalikan salinan DataFrame.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Tutorial ini memberikan beberapa contoh penggunaan praktis fungsi ini pada DataFrame berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'team': ['a', 'b', 'b', 'c', 'c', 'd'],\n                   'points': [3, 7, 7, 8, 8, 9],\n                   'assists': [8, 6, 7, 9, 9, 3]})\n\n<span style=\"color: #008080;\">#display DataFrame\n<\/span><span style=\"color: #993300;\">print<\/span> (df)\n\n  team points assists\n0 to 3 8\n1 b 7 6\n2 b 7 7\n3 c 8 9\n4 c 8 9\n5 d 9 3<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Hapus duplikat di semua kolom<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghapus baris dengan nilai duplikat di <em>semua<\/em> kolom:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">drop_duplicates<\/span> ()\n\n        team points assists\n0 to 3 8\n1 b 7 6\n2 b 7 7\n3 c 8 9\n5 d 9 3\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Secara default, fungsi drop_duplications() menghapus semua duplikat kecuali yang pertama.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Namun, kita dapat menggunakan argumen <strong>keep=False<\/strong> untuk menghapus seluruh duplikat:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">drop_duplicates<\/span> (keep= <span style=\"color: #008000;\">False<\/span> )\n\n\tteam points assists\n0 to 3 8\n1 b 7 6\n2 b 7 7\n5 d 9 3\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2:<\/strong><\/span> <span style=\"color: #000000;\"><strong>Hapus duplikat di kolom tertentu<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghapus baris dengan nilai duplikat hanya di kolom berlabel <em>tim<\/em> dan <em>poin<\/em> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">drop_duplicates<\/span> (subset=[' <span style=\"color: #008000;\">team<\/span> ', ' <span style=\"color: #008000;\">points<\/span> '])\n\n        team points assists\n0 to 3 8\n1 b 7 6\n3 c 8 9\n5 d 9 3\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-duplikat\/\">Cara menghapus kolom duplikat di Pandas<\/a><br \/> Cara mengurutkan nilai dalam Pandas DataFrame<br \/> <a href=\"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/\" target=\"_blank\" rel=\"noopener\">Cara memfilter Pandas DataFrame pada berbagai kondisi<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/masukkan-kolom-kerangka-data-panda\/\" target=\"_blank\" rel=\"noopener\">Cara memasukkan kolom ke dalam Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cara termudah untuk menghapus baris duplikat di pandas DataFrame adalah dengan menggunakan fungsi drop_duplications() , yang menggunakan sintaks berikut: df.drop_duplikat(subset=Tidak ada, simpan=&#8217;pertama&#8217;, inplace=False) Emas: subset: kolom mana yang harus diperhitungkan untuk mengidentifikasi duplikat. Standarnya adalah semua kolom. keep: Menentukan duplikat mana (jika ada) yang akan disimpan. pertama: Hapus semua baris duplikat kecuali yang pertama. terakhir: [&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 menghapus baris duplikat di Pandas DataFrame<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghapus baris duplikat di pandas DataFrame, dengan beberapa 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-menjatuhkan-duplikat\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghapus baris duplikat di Pandas DataFrame\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghapus baris duplikat di pandas DataFrame, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-26T23:04:48+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-menjatuhkan-duplikat\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/\",\"name\":\"Cara menghapus baris duplikat di Pandas DataFrame\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-26T23:04:48+00:00\",\"dateModified\":\"2023-07-26T23:04:48+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghapus baris duplikat di pandas DataFrame, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghapus baris duplikat di pandas dataframe\"}]},{\"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya\",\"sameAs\":[\"http:\/\/statorials.org\/id\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Cara menghapus baris duplikat di Pandas DataFrame","description":"Tutorial ini menjelaskan cara menghapus baris duplikat di pandas DataFrame, dengan beberapa contoh.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/","og_locale":"id_ID","og_type":"article","og_title":"Cara menghapus baris duplikat di Pandas DataFrame","og_description":"Tutorial ini menjelaskan cara menghapus baris duplikat di pandas DataFrame, dengan beberapa contoh.","og_url":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/","og_site_name":"Statorials","article_published_time":"2023-07-26T23:04:48+00:00","author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Ditulis oleh":"Benjamin anderson","Estimasi waktu membaca":"1 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/","url":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/","name":"Cara menghapus baris duplikat di Pandas DataFrame","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-07-26T23:04:48+00:00","dateModified":"2023-07-26T23:04:48+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Tutorial ini menjelaskan cara menghapus baris duplikat di pandas DataFrame, dengan beberapa contoh.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/panda-menjatuhkan-duplikat\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Cara menghapus baris duplikat di pandas dataframe"}]},{"@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. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya","sameAs":["http:\/\/statorials.org\/id"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/1302"}],"collection":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/comments?post=1302"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/1302\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=1302"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=1302"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=1302"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}