{"id":2028,"date":"2023-07-24T00:47:19","date_gmt":"2023-07-24T00:47:19","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-fillna\/"},"modified":"2023-07-24T00:47:19","modified_gmt":"2023-07-24T00:47:19","slug":"panda-fillna","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-fillna\/","title":{"rendered":"Cara menggunakan pandas fillna() untuk mengganti nilai nan"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan fungsi <strong>fillna()<\/strong> untuk mengganti nilai NaN di DataFrame pandas.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Fungsi ini menggunakan sintaks dasar berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#replace NaN values in one column<\/span>\ndf[' <span style=\"color: #008000;\">col1<\/span> '] = df[' <span style=\"color: #008000;\">col1<\/span> ']. <span style=\"color: #3366ff;\">fillna<\/span> (0)\n\n<span style=\"color: #008080;\">#replace NaN values in multiple columns\n<\/span>df[[' <span style=\"color: #008000;\">col1<\/span> ', ' <span style=\"color: #008000;\">col2<\/span> ']] = df[[' <span style=\"color: #008000;\">col1<\/span> ', ' <span style=\"color: #008000;\">col2<\/span> ']]. <span style=\"color: #3366ff;\">fillna<\/span> (0) \n\n<span style=\"color: #008080;\">#replace NaN values in all columns<\/span>\ndf = df. <span style=\"color: #3366ff;\">fillna<\/span> (0)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara menggunakan fungsi ini dengan pandas DataFrame berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create DataFrame with some NaN values<\/span>\ndf = pd.DataFrame({'rating': [np.nan, 85, np.nan, 88, 94, 90, 76, 75, 87, 86],\n                   'points': [25, np.nan, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, np.nan, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [11, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n<span style=\"color: #008080;\">\n#view DataFrame<\/span>\ndf\n\n        rating points assists rebounds\n0 NaN 25.0 5.0 11\n1 85.0 NaN 7.0 8\n2 NaN 14.0 7.0 10\n3 88.0 16.0 NaN 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Ganti nilai NaN dalam kolom<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara mengganti nilai NaN dengan angka nol pada kolom &#8220;catatan&#8221;:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#replace NaNs with zeros in 'rating' column<\/span>\ndf[' <span style=\"color: #008000;\">rating<\/span> '] = df[' <span style=\"color: #008000;\">rating<\/span> ']. <span style=\"color: #3366ff;\">fillna<\/span> (0)\n<span style=\"color: #008080;\">\n#view DataFrame<\/span>\ndf\n\n\trating points assists rebounds\n0 0.0 25.0 5.0 11\n1 85.0 NaN 7.0 8\n2 0.0 14.0 7.0 10\n3 88.0 16.0 NaN 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n<h3> <strong>Contoh 2: Ganti nilai NaN di beberapa kolom<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara mengganti nilai NaN dengan angka nol pada kolom \u201cnilai\u201d dan \u201cpoin\u201d:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#replace NaNs with zeros in 'rating' and 'points' columns<\/span>\ndf[[' <span style=\"color: #008000;\">rating<\/span> ', ' <span style=\"color: #008000;\">points<\/span> ']] = df[[' <span style=\"color: #008000;\">rating<\/span> ', ' <span style=\"color: #008000;\">points<\/span> ']]. <span style=\"color: #3366ff;\">fillna<\/span> (0)\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\trating points assists rebounds\n0 0.0 25.0 5.0 11\n1 85.0 0.0 7.0 8\n2 0.0 14.0 7.0 10\n3 88.0 16.0 NaN 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n<h3> <strong>Contoh 3: Ganti nilai NaN di semua kolom<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara mengganti nilai NaN di setiap kolom dengan angka nol:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#replace NaNs with zeros in all columns<\/span> \ndf = df. <span style=\"color: #3366ff;\">fillna<\/span> (0)\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        rating points assists rebounds\n0 0.0 25.0 5.0 11\n1 85.0 0.0 7.0 8\n2 0.0 14.0 7.0 10\n3 88.0 16.0 0.0 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Anda dapat menemukan dokumentasi online lengkap untuk fungsi <strong>fillna()<\/strong> <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.fillna.html\" target=\"_blank\" rel=\"noopener\">di sini<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan operasi umum lainnya di panda:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/panda-menghitung-nilai-yang-hilang\/\" target=\"_blank\" rel=\"noopener\">Cara menghitung nilai yang hilang di panda<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/jatuhkan-panda\/\" target=\"_blank\" rel=\"noopener\">Cara menghapus baris dengan nilai NaN di Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/panda-menjatuhkan-baris-dengan-nilai\/\" target=\"_blank\" rel=\"noopener\">Cara menghapus baris yang berisi nilai tertentu di Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan fungsi fillna() untuk mengganti nilai NaN di DataFrame pandas. Fungsi ini menggunakan sintaks dasar berikut: #replace NaN values in one column df[&#8216; col1 &#8216;] = df[&#8216; col1 &#8216;]. fillna (0) #replace NaN values in multiple columns df[[&#8216; col1 &#8216;, &#8216; col2 &#8216;]] = df[[&#8216; col1 &#8216;, &#8216; col2 &#8216;]]. fillna (0) #replace [&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 menggunakan Pandas fillna() untuk menggantikan nilai NaN \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi pandas fillna() untuk mengganti nilai NaN di DataFrame, beserta 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-fillna\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menggunakan Pandas fillna() untuk menggantikan nilai NaN \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi pandas fillna() untuk mengganti nilai NaN di DataFrame, beserta contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-fillna\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T00:47:19+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-fillna\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-fillna\/\",\"name\":\"Cara menggunakan Pandas fillna() untuk menggantikan nilai NaN \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-24T00:47:19+00:00\",\"dateModified\":\"2023-07-24T00:47:19+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan fungsi pandas fillna() untuk mengganti nilai NaN di DataFrame, beserta contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-fillna\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-fillna\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-fillna\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menggunakan pandas fillna() untuk mengganti 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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