{"id":4067,"date":"2023-07-13T19:59:50","date_gmt":"2023-07-13T19:59:50","guid":{"rendered":"https:\/\/statorials.org\/id\/plot-kotak-menghapus-outlier\/"},"modified":"2023-07-13T19:59:50","modified_gmt":"2023-07-13T19:59:50","slug":"plot-kotak-menghapus-outlier","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/plot-kotak-menghapus-outlier\/","title":{"rendered":"Cara menghilangkan outlier dari plot kotak seaborn"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Saat membuat plot kotak di Seaborn, Anda dapat menggunakan argumen <strong>showfliers=False<\/strong> untuk menghapus outlier dari plot:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (x=' <span style=\"color: #ff0000;\">variable<\/span> ', y=' <span style=\"color: #ff0000;\">value<\/span> ', data=df, showfliers= <span style=\"color: #008000;\">False<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Jika Anda hanya ingin mengubah ukuran penanda outlier, Anda dapat menggunakan argumen <strong>fliersize<\/strong> :<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (x=' <span style=\"color: #ff0000;\">variable<\/span> ', y=' <span style=\"color: #ff0000;\">value<\/span> ', data=df, fliersize= <span style=\"color: #008000;\">3<\/span> )<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa ukuran default <strong>flyersize<\/strong> adalah <strong>5<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan argumen ini dalam praktik.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: Hapus outlier dari Seaborn Boxplot<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki DataFrame panda berikut yang menunjukkan poin yang dicetak oleh pemain di tiga tim bola basket berbeda:<\/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\n<span style=\"color: #008080;\">#createDataFrame<span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [5, 7, 7, 9, 12, 78],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [8, 8, 9, 13, 15, 17],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [1, 2, 2, 4, 5, 60]})\n\n<span style=\"color: #008080;\">#melt data frame into long format\n<\/span>df_melted = pd. <span style=\"color: #3366ff;\">melt<\/span> (df)\n\n<span style=\"color: #008080;\">#view head of DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df_melted.head<\/span> ())\n\n  variable value\n0 to 5\n1 to 7\n2 to 7\n3 to 19\n4 to 22<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan sintaks berikut untuk membuat tiga diagram kotak yang menunjukkan distribusi poin yang dicetak oleh masing-masing tim:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create boxplot to visualize distribution of points by team\n<\/span>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (x=' <span style=\"color: #ff0000;\">variable<\/span> ', y=' <span style=\"color: #ff0000;\">value<\/span> ', data=df_melted)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32415 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/suppression1.png\" alt=\"\" width=\"526\" height=\"402\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Secara default, seaborn menggunakan penanda berbentuk berlian untuk menampilkan outlier.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk menghilangkan outlier ini dari plot, kita dapat menggunakan argumen <strong>showfliers=False<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create boxplots and remove outliers\n<\/span>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (x=' <span style=\"color: #ff0000;\">variable<\/span> ', y=' <span style=\"color: #ff0000;\">value<\/span> ', data=df_melted, showfliers= <span style=\"color: #008000;\">False<\/span> )<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32416 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/suppression2.png\" alt=\"\" width=\"520\" height=\"393\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa outlier telah dihapus seluruhnya dari plot.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk sekadar mengubah ukuran penanda outlier, kita dapat menggunakan argumen <strong>fliersize<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create boxplots and adjust markers for outliers to be smaller\n<\/span>sns. <span style=\"color: #3366ff;\">boxplot<\/span> (x=' <span style=\"color: #ff0000;\">variable<\/span> ', y=' <span style=\"color: #ff0000;\">value<\/span> ', data=df_melted, fliersize= <span style=\"color: #008000;\">3<\/span> )<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32418 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/suppression3.png\" alt=\"\" width=\"574\" height=\"436\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa ukuran penanda untuk outlier jauh lebih kecil.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Jangan ragu untuk menyesuaikan nilai ukuran <strong>pamflet<\/strong> untuk membuat ukuran penanda menjadi kecil atau besar sesuai keinginan Anda.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap untuk fungsi <strong>seaborn.boxplot()<\/strong> <a href=\"https:\/\/seaborn.pydata.org\/generated\/seaborn.boxplot.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 membuat visualisasi umum lainnya di <a href=\"https:\/\/seaborn.pydata.org\/\" target=\"_blank\" rel=\"noopener\">seaborn<\/a> :<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/camembert-laut\/\" target=\"_blank\" rel=\"noopener\">Cara Membuat Diagram Lingkaran di Seaborn<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/peta-wilayah-laut\/\" target=\"_blank\" rel=\"noopener\">Cara Membuat Bagan Area di Seaborn<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/garis-waktu-kelahiran-laut\/\" target=\"_blank\" rel=\"noopener\">Cara Membuat Plot Deret Waktu di Seaborn<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Saat membuat plot kotak di Seaborn, Anda dapat menggunakan argumen showfliers=False untuk menghapus outlier dari plot: sns. boxplot (x=&#8217; variable &#8216;, y=&#8217; value &#8216;, data=df, showfliers= False ) Jika Anda hanya ingin mengubah ukuran penanda outlier, Anda dapat menggunakan argumen fliersize : sns. boxplot (x=&#8217; variable &#8216;, y=&#8217; value &#8216;, data=df, fliersize= 3 ) Perhatikan [&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 outlier dari plot kotak Seaborn - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghilangkan outlier dari boxplot di Seaborn, dengan sebuah 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\/plot-kotak-menghapus-outlier\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghapus outlier dari plot kotak Seaborn - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghilangkan outlier dari boxplot di Seaborn, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/plot-kotak-menghapus-outlier\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T19:59:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/suppression1.png\" \/>\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\/plot-kotak-menghapus-outlier\/\",\"url\":\"https:\/\/statorials.org\/id\/plot-kotak-menghapus-outlier\/\",\"name\":\"Cara menghapus outlier dari plot kotak Seaborn - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-13T19:59:50+00:00\",\"dateModified\":\"2023-07-13T19:59:50+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghilangkan outlier dari boxplot di Seaborn, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/plot-kotak-menghapus-outlier\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/plot-kotak-menghapus-outlier\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/plot-kotak-menghapus-outlier\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghilangkan outlier dari plot kotak seaborn\"}]},{\"@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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