{"id":4261,"date":"2023-07-12T11:08:26","date_gmt":"2023-07-12T11:08:26","guid":{"rendered":"https:\/\/statorials.org\/id\/warna-plot-pasangan-seaborn\/"},"modified":"2023-07-12T11:08:26","modified_gmt":"2023-07-12T11:08:26","slug":"warna-plot-pasangan-seaborn","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/warna-plot-pasangan-seaborn\/","title":{"rendered":"Seaborn: cara menggunakan parameter rona di pairplot"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan parameter <strong>tint<\/strong> saat membuat pasangan plot di Seaborn untuk mewarnai aspek plot berdasarkan nilai variabel tertentu.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Anda dapat menggunakan sintaks dasar berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\nsns. <span style=\"color: #3366ff;\">pairplot<\/span> (data=df, hue=' <span style=\"color: #ff0000;\">team<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh khusus ini membuat plot berpasangan menggunakan setiap variabel numerik dalam bingkai data dan mewarnai aspek plot berdasarkan nilai variabel <strong>tim<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Contoh: Menggunakan Parameter Hue di Seaborn Pairplot<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Misalkan kita memiliki panda DataFrame berikut yang menunjukkan poin dan assist pemain bola basket dari dua tim berbeda:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\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', 'A', 'A', 'B', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [3, 4, 4, 7, 9, 6, 7, 8, 10, 12],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [5, 6, 9, 12, 15, 5, 10, 13, 13, 19]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team assists points\n0 to 3 5\n1 to 4 6\n2 to 4 9\n3 to 7 12\n4 to 9 15\n5 B 6 5\n6 B 7 10\n7 B 8 13\n8 B 10 13\n9 B 12 19\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Jika kita menggunakan fungsi <strong>pairplot()<\/strong> , maka seaborn akan membuat pairplot menggunakan dua variabel numerik dari DataFrame:<\/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 pairplot\n<\/span>sns. <span style=\"color: #3366ff;\">pairplot<\/span> (data=df)<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33642 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/paireplot1.jpg\" alt=\"\" width=\"432\" height=\"429\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Plot berpasangan yang dihasilkan menampilkan plot sebar dan histogram menggunakan titik dan variabel pembantu.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Jika kita menggunakan parameter <strong>hue<\/strong> dalam fungsi <strong>pairplot()<\/strong> , kita dapat mewarnai aspek plot berdasarkan nilai variabel <strong>tim<\/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 pairplot using values of team variable as colors\n<\/span>sns. <span style=\"color: #3366ff;\">pairplot<\/span> (data=df, hue=' <span style=\"color: #ff0000;\">team<\/span> ')<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33643 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/paireplot2.jpg\" alt=\"\" width=\"474\" height=\"422\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Dengan menggunakan parameter <strong>hue<\/strong> , kita dapat membuat perubahan berikut pada plot:<\/span><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Poin dalam diagram sebar diwarnai berdasarkan nilai tim.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Kurva kepadatan yang tumpang tindih digunakan untuk memvisualisasikan distribusi nilai untuk setiap tim unik.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa legenda juga ditambahkan secara otomatis sehingga jelas warna mana yang sesuai dengan nilai tim.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap untuk fungsi seaborn <strong>pairplot()<\/strong><a href=\"https:\/\/seaborn.pydata.org\/generated\/seaborn.pairplot.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 menggunakan Seaborn:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/judul-kelautan\/\" target=\"_blank\" rel=\"noopener\">Cara Menambahkan Judul ke Plot Seaborn<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/ukuran-huruf\/\" target=\"_blank\" rel=\"noopener\">Cara mengubah ukuran font di plot Seaborn<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kutu-laut\/\" target=\"_blank\" rel=\"noopener\">Cara menyesuaikan jumlah kutu di plot Seaborn<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan parameter tint saat membuat pasangan plot di Seaborn untuk mewarnai aspek plot berdasarkan nilai variabel tertentu. Anda dapat menggunakan sintaks dasar berikut: import seaborn as sns sns. pairplot (data=df, hue=&#8217; team &#8216;) Contoh khusus ini membuat plot berpasangan menggunakan setiap variabel numerik dalam bingkai data dan mewarnai aspek plot berdasarkan nilai variabel [&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>Seaborn: Cara menggunakan parameter rona di Pairplot - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan parameter hue saat membuat pasangan plot di Seaborn, 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\/warna-plot-pasangan-seaborn\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seaborn: Cara menggunakan parameter rona di Pairplot - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan parameter hue saat membuat pasangan plot di Seaborn, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/warna-plot-pasangan-seaborn\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T11:08:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/paireplot1.jpg\" \/>\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\/warna-plot-pasangan-seaborn\/\",\"url\":\"https:\/\/statorials.org\/id\/warna-plot-pasangan-seaborn\/\",\"name\":\"Seaborn: Cara menggunakan parameter rona di Pairplot - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-12T11:08:26+00:00\",\"dateModified\":\"2023-07-12T11:08:26+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan parameter hue saat membuat pasangan plot di Seaborn, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/warna-plot-pasangan-seaborn\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/warna-plot-pasangan-seaborn\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/warna-plot-pasangan-seaborn\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Seaborn: cara menggunakan parameter rona di pairplot\"}]},{\"@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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