{"id":4062,"date":"2023-07-13T20:45:21","date_gmt":"2023-07-13T20:45:21","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/"},"modified":"2023-07-13T20:45:21","modified_gmt":"2023-07-13T20:45:21","slug":"panda-menjatuhkan-kolom-dengan-nan","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/","title":{"rendered":"Pandas: cara menghapus kolom dengan nilai nan"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan metode berikut untuk menghapus kolom dari pandas DataFrame dengan nilai NaN:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metode 1: Hapus Kolom dengan Nilai NaN Apa Pun<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df. <span style=\"color: #3366ff;\">dropna<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 2: Hapus Kolom dengan Semua Nilai NaN<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df. <span style=\"color: #3366ff;\">dropna<\/span> (axis= <span style=\"color: #008000;\">1<\/span> ,how=' <span style=\"color: #ff0000;\">all<\/span> ')<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 3: Hapus Kolom dengan Jumlah Nilai NaN Minimum<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df. <span style=\"color: #3366ff;\">dropna<\/span> (axis= <span style=\"color: #008000;\">1<\/span> ,thresh= <span style=\"color: #008000;\">2<\/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', 'A', 'A', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">position<\/span> ': [np.nan, 'G', 'F', 'F', 'C', 'G'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [11, 28, 10, 26, 6, 25],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [np.nan, np.nan, np.nan, np.nan, np.nan, np.nan]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team position points rebounds\n0 A NaN 11 NaN\n1 AG 28 NaN\n2 AF 10 NaN\n3 BF 26 NaN\n4 BC 6 NaN\n5 BG 25 NaN\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 1: Hapus Kolom dengan Nilai NaN<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghapus kolom dengan nilai NaN:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop columns with any NaN values\n<\/span>df = df. <span style=\"color: #3366ff;\">dropna<\/span> (axis= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points\n0 to 11\n1 to 28\n2 to 10\n3 B 26\n4 B 6\n5 B 25<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kolom <strong>posisi<\/strong> dan <strong>rebound<\/strong> telah dihapus karena keduanya memiliki setidaknya satu nilai NaN.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 2: Hapus kolom dengan semua nilai NaN<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghapus kolom dengan semua nilai NaN:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop columns with all NaN values\n<\/span>df = df. <span style=\"color: #3366ff;\">dropna<\/span> (axis= <span style=\"color: #008000;\">1<\/span> ,how=' <span style=\"color: #ff0000;\">all<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team position points\n0 A NaN 11\n1 AG 28\n2 AF10\n3 BF 26\n4 BC 6\n5 BG 25<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kolom <strong>pentalan<\/strong> telah dihapus karena merupakan satu-satunya kolom dengan semua nilai NaN.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 3: Hapus Kolom dengan Jumlah Nilai NaN Minimum<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kode berikut memperlihatkan cara menghapus kolom dengan <strong>dua atau lebih<\/strong> nilai NaN:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop columns with at least two NaN values\n<\/span>df = df. <span style=\"color: #3366ff;\">dropna<\/span> (axis= <span style=\"color: #008000;\">1<\/span> ,thresh= <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team position points\n0 A NaN 11\n1 AG 28\n2 AF10\n3 BF 26\n4 BC 6\n5 BG 25<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kolom <strong>pentalan<\/strong> telah dihapus karena merupakan satu-satunya kolom dengan setidaknya dua nilai NaN.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap fungsi <strong>dropna()<\/strong> di pandas <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-menjatuhkan-kolom-pertama\/\" target=\"_blank\" rel=\"noopener\">Cara menghapus kolom pertama di Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-duplikat\/\" target=\"_blank\" rel=\"noopener\">Cara menghapus kolom duplikat di Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-semua-kolom-kecuali\/\" target=\"_blank\" rel=\"noopener\">Cara menghapus semua kolom kecuali beberapa di Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan metode berikut untuk menghapus kolom dari pandas DataFrame dengan nilai NaN: Metode 1: Hapus Kolom dengan Nilai NaN Apa Pun df = df. dropna (axis= 1 ) Metode 2: Hapus Kolom dengan Semua Nilai NaN df = df. dropna (axis= 1 ,how=&#8217; all &#8216;) Metode 3: Hapus Kolom dengan Jumlah Nilai NaN [&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 menghapus kolom dengan nilai NaN \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghapus kolom di pandas DataFrame dengan nilai NaN, 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-kolom-dengan-nan\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Cara menghapus kolom dengan nilai NaN \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghapus kolom di pandas DataFrame dengan nilai NaN, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T20:45:21+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-menjatuhkan-kolom-dengan-nan\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/\",\"name\":\"Pandas: Cara menghapus kolom dengan nilai NaN \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-13T20:45:21+00:00\",\"dateModified\":\"2023-07-13T20:45:21+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghapus kolom di pandas DataFrame dengan nilai NaN, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-menjatuhkan-kolom-dengan-nan\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: cara menghapus kolom dengan nilai nan\"}]},{\"@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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