{"id":4245,"date":"2023-07-12T13:48:34","date_gmt":"2023-07-12T13:48:34","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/"},"modified":"2023-07-12T13:48:34","modified_gmt":"2023-07-12T13:48:34","slug":"panda-dropna-kolom-tertentu","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/","title":{"rendered":"Pandas: cara menggunakan dropna() dengan kolom tertentu"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan fungsi <strong>dropna()<\/strong> dengan argumen <strong>subset<\/strong> untuk menghapus baris dari pandas DataFrame yang berisi nilai yang hilang di kolom tertentu.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Berikut adalah cara paling umum untuk menggunakan fitur ini dalam praktiknya:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metode 1: Hapus baris dengan nilai yang hilang di kolom tertentu<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">dropna<\/span> (subset = [' <span style=\"color: #ff0000;\">column1<\/span> '], inplace= <span style=\"color: #008000;\">True<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 2: Hapus baris dengan nilai yang hilang di salah satu dari beberapa kolom tertentu<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">dropna<\/span> (subset = [' <span style=\"color: #ff0000;\">column1<\/span> ', ' <span style=\"color: #ff0000;\">column2<\/span> ', ' <span style=\"color: #ff0000;\">column3<\/span> '], inplace= <span style=\"color: #008000;\">True<\/span> )<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik dengan pandas DataFrame berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, np.nan, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, np.nan, np.nan, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, np.nan]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 A 18.0 5.0 11.0\n1 B NaN NaN 8.0\n2 C 19.0 NaN 10.0\n3D 14.0 9.0 6.0\n4 E 14.0 12.0 6.0\n5 F 11.0 9.0 5.0\n6G 20.0 9.0 9.0\n7H 28.0 4.0 NaN\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 1: Hapus baris dengan nilai yang hilang di kolom tertentu<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan sintaks berikut untuk menghapus baris dengan nilai yang hilang di kolom &#8220;bantuan&#8221;:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop rows with missing values in 'assists' column\n<\/span>df. <span style=\"color: #3366ff;\">dropna<\/span> (subset = [' <span style=\"color: #ff0000;\">assists<\/span> '], inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 A 18.0 5.0 11.0\n3D 14.0 9.0 6.0\n4 E 14.0 12.0 6.0\n5 F 11.0 9.0 5.0\n6G 20.0 9.0 9.0\n7H 28.0 4.0 NaN<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa dua baris dengan nilai yang hilang di kolom &#8220;Bantuan&#8221; keduanya telah dihapus dari DataFrame.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan juga bahwa baris terakhir DataFrame dipertahankan meskipun ada nilai yang hilang karena nilai yang hilang tidak ada di kolom &#8220;bantuan&#8221;.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 2: Hapus baris dengan nilai yang hilang di salah satu dari beberapa kolom tertentu<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan sintaks berikut untuk menghapus baris dengan nilai yang hilang di kolom &#8220;titik&#8221; <strong>atau<\/strong> &#8220;pentalan&#8221;:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop rows with missing values in 'points' or 'rebounds' column\n<\/span>df. <span style=\"color: #3366ff;\">dropna<\/span> (subset = [' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> '], inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 A 18.0 5.0 11.0\n2 C 19.0 NaN 10.0\n3D 14.0 9.0 6.0\n4 E 14.0 12.0 6.0\n5 F 11.0 9.0 5.0\n6G 20.0 9.0 9.0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa dua baris dengan nilai yang hilang di kolom &#8220;titik&#8221; <strong>atau<\/strong> &#8220;pentalan&#8221; telah dihapus dari DataFrame.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap untuk fungsi pandas <strong>dropna()<\/strong> <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.dropna.html\" target=\"_blank\" rel=\"noopener\">di sini<\/a> .<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\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-mengatur-ulang-indeks-setelah-dropna\/\" target=\"_blank\" rel=\"noopener\">Pandas: Cara mereset indeks setelah menggunakan dropna()<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/\" target=\"_blank\" rel=\"noopener\">Pandas: Cara menghapus kolom dengan nilai NaN<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-baris-berdasarkan-beberapa-kondisi\/\" target=\"_blank\" rel=\"noopener\">Pandas: Cara menghapus baris berdasarkan berbagai kondisi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan fungsi dropna() dengan argumen subset untuk menghapus baris dari pandas DataFrame yang berisi nilai yang hilang di kolom tertentu. Berikut adalah cara paling umum untuk menggunakan fitur ini dalam praktiknya: Metode 1: Hapus baris dengan nilai yang hilang di kolom tertentu df. dropna (subset = [&#8216; column1 &#8216;], inplace= True ) Metode [&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>Pandas: Cara menggunakan dropna() dengan kolom tertentu \u2013 Statorial<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan dropna() di panda untuk menghapus baris yang nilainya hilang di kolom tertentu, 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\/panda-dropna-kolom-tertentu\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Cara menggunakan dropna() dengan kolom tertentu \u2013 Statorial\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan dropna() di panda untuk menghapus baris yang nilainya hilang di kolom tertentu, termasuk contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T13:48:34+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-dropna-kolom-tertentu\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/\",\"name\":\"Pandas: Cara menggunakan dropna() dengan kolom tertentu \u2013 Statorial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-12T13:48:34+00:00\",\"dateModified\":\"2023-07-12T13:48:34+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan dropna() di panda untuk menghapus baris yang nilainya hilang di kolom tertentu, termasuk contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: cara menggunakan dropna() dengan kolom tertentu\"}]},{\"@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":"Pandas: Cara menggunakan dropna() dengan kolom tertentu \u2013 Statorial","description":"Tutorial ini menjelaskan cara menggunakan dropna() di panda untuk menghapus baris yang nilainya hilang di kolom tertentu, termasuk contohnya.","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-dropna-kolom-tertentu\/","og_locale":"id_ID","og_type":"article","og_title":"Pandas: Cara menggunakan dropna() dengan kolom tertentu \u2013 Statorial","og_description":"Tutorial ini menjelaskan cara menggunakan dropna() di panda untuk menghapus baris yang nilainya hilang di kolom tertentu, termasuk contohnya.","og_url":"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/","og_site_name":"Statorials","article_published_time":"2023-07-12T13:48:34+00:00","author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Ditulis oleh":"Benjamin anderson","Estimasi waktu membaca":"2 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/","url":"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/","name":"Pandas: Cara menggunakan dropna() dengan kolom tertentu \u2013 Statorial","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-07-12T13:48:34+00:00","dateModified":"2023-07-12T13:48:34+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Tutorial ini menjelaskan cara menggunakan dropna() di panda untuk menghapus baris yang nilainya hilang di kolom tertentu, termasuk contohnya.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/panda-dropna-kolom-tertentu\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Pandas: cara menggunakan dropna() dengan kolom tertentu"}]},{"@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\/4245"}],"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=4245"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/4245\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=4245"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=4245"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=4245"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}