{"id":3500,"date":"2023-07-17T04:05:48","date_gmt":"2023-07-17T04:05:48","guid":{"rendered":"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/"},"modified":"2023-07-17T04:05:48","modified_gmt":"2023-07-17T04:05:48","slug":"ggplot2-vs-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/","title":{"rendered":"Matplotlib vs ggplot2: mana yang harus anda gunakan?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">Dua perpustakaan visualisasi data paling populer di seluruh ilmu data adalah <strong>ggplot2<\/strong> dan <strong>Matplotlib<\/strong> .<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">Pustaka <a href=\"https:\/\/ggplot2.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a> digunakan dalam bahasa pemrograman statistik R sedangkan <a href=\"https:\/\/matplotlib.org\/\" target=\"_blank\" rel=\"noopener\">Matplotlib<\/a> digunakan dalam Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Meskipun kedua pustaka memungkinkan Anda membuat visualisasi data yang sangat disesuaikan, ggplot2 umumnya memungkinkan Anda melakukannya dengan lebih sedikit baris kode dibandingkan dengan Matplotlib.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk mengilustrasikan hal ini, kami akan menunjukkan cara membuat tipe bagan yang sama menggunakan kedua perpustakaan.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Bagan garis: ggplot2 vs Matplotlib<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat diagram garis menggunakan <strong>ggplot2<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)\n<\/span>\n<span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (day=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10),\n                 sales=c(2, 4, 5, 8, 6, 12, 15, 19, 15, 22))\n\n<span style=\"color: #008080;\">#create line chart\n<\/span>ggplot(df, aes(x=day, y=sales)) +\n  geom_line(size= <span style=\"color: #008000;\">1.2<\/span> , col=' <span style=\"color: #ff0000;\">purple<\/span> ') +\n  ggtitle(' <span style=\"color: #ff0000;\">Sales by Day<\/span> ') +\n  xlab(' <span style=\"color: #ff0000;\">Day<\/span> ') +\n  ylab(' <span style=\"color: #ff0000;\">Sales<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29125 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gg1.jpg\" alt=\"\" width=\"511\" height=\"395\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Dan kode berikut menunjukkan cara membuat diagram garis yang sama menggunakan <strong>Matplotlib<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt \n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [2, 4, 5, 8, 6, 12, 15, 19, 15, 22]})\n\n<span style=\"color: #008080;\">#create line chart\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (df. <span style=\"color: #3366ff;\">day<\/span> , df. <span style=\"color: #3366ff;\">sales<\/span> , color=' <span style=\"color: #ff0000;\">purple<\/span> ')\nplt. <span style=\"color: #3366ff;\">title<\/span> (' <span style=\"color: #ff0000;\">Sales by Day<\/span> ', loc=' <span style=\"color: #ff0000;\">left<\/span> ')\nplt. <span style=\"color: #3366ff;\">ylabel<\/span> (' <span style=\"color: #ff0000;\">Sales<\/span> ')\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #ff0000;\">Day<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29126 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gg2.jpg\" alt=\"\" width=\"508\" height=\"400\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Untuk contoh ini, jumlah baris kode yang diperlukan untuk menghasilkan setiap plot kira-kira sama antara ggplot2 dan Matplotlib.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Plot sebar: ggplot2 versus Matplotlib<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat scatterplot di <strong>ggplot2<\/strong> yang titik-titiknya diwarnai berdasarkan kategori:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)\n<\/span>\n<span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 assists=c(1, 2, 2, 4, 5, 7, 8, 10),\n                 points=c(4, 6, 10, 8, 12, 15, 22, 28))<\/span>\n\n#create scatterplot\n<span style=\"color: #000000;\">ggplot(df, aes(x=assists, y=points)) +\n  geom_point(aes(col=team), size= <span style=\"color: #008000;\">3<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29127 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gg3.jpg\" alt=\"\" width=\"511\" height=\"402\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Dan kode berikut menunjukkan cara membuat scatterplot yang sama menggunakan <strong>Matplotlib<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt \n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [1, 2, 2, 4, 5, 7, 8, 10],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [4, 6, 10, 8, 12, 15, 22, 28]})\n\n<span style=\"color: #008080;\">#define colors to use\n<\/span>color_list = [] \n<span style=\"color: #008000;\">for<\/span> x <span style=\"color: #008000;\">in<\/span> df[' <span style=\"color: #ff0000;\">team<\/span> ']: \n    <span style=\"color: #008000;\">if<\/span> x == ' <span style=\"color: #ff0000;\">A<\/span> ': color_list. <span style=\"color: #3366ff;\">append<\/span> (' <span style=\"color: #ff0000;\">#F8766D<\/span> ') \n    <span style=\"color: #008000;\">else<\/span> : color_list. <span style=\"color: #3366ff;\">append<\/span> (' <span style=\"color: #ff0000;\">#00BFC4<\/span> ') \n\n<span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">assists<\/span> , df. <span style=\"color: #3366ff;\">points<\/span> , c=color_list)\nplt. <span style=\"color: #3366ff;\">ylabel<\/span> (' <span style=\"color: #ff0000;\">points<\/span> ')\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #ff0000;\">assists<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29128 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gg4.jpg\" alt=\"\" width=\"465\" height=\"356\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kami harus menggunakan lebih banyak baris kode di Matplotlib untuk menghasilkan plot yang sama seperti ggplot2.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Histogram: ggplot2 vs Matplotlib<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara membuat histogram di <strong>ggplot2<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)\n<\/span>\n<span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(2, 2, 4, 4, 4, 5, 5, 6, 7, 7, 8, 8,\n                     10, 11, 11, 11, 12, 13, 14, 14))\n\n<span style=\"color: #008080;\">#create scatterplot\n<\/span>ggplot(df, aes(x=x)) +\n  geom_histogram(bins= <span style=\"color: #008000;\">6<\/span> , fill=' <span style=\"color: #ff0000;\">red<\/span> ', color=' <span style=\"color: #ff0000;\">black<\/span> ') +\n  ggtitle(' <span style=\"color: #ff0000;\">My Histogram<\/span> ')<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29129 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gg5.jpg\" alt=\"\" width=\"506\" height=\"390\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Dan kode berikut menunjukkan cara membuat histogram serupa menggunakan <strong>Matplotlib<\/strong> :<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt \n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x<\/span> ': [2, 2, 4, 4, 4, 5, 5, 6, 7, 7, 8, 8,\n                         10, 11, 11, 11, 12, 13, 14, 14]})\n\n<span style=\"color: #008080;\">#create histogram\n<\/span>plt. <span style=\"color: #3366ff;\">hist<\/span> (df[' <span style=\"color: #ff0000;\">x<\/span> '], bins= <span style=\"color: #008000;\">6<\/span> , color=' <span style=\"color: #ff0000;\">red<\/span> ', ec=' <span style=\"color: #ff0000;\">black<\/span> ')\nplt. <span style=\"color: #3366ff;\">title<\/span> (' <span style=\"color: #ff0000;\">My Histogram<\/span> ', loc=' <span style=\"color: #ff0000;\">left<\/span> ') \nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #ff0000;\">x<\/span> ') \nplt. <span style=\"color: #3366ff;\">ylabel<\/span> (' <span style=\"color: #ff0000;\">Count<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-29133 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gg6-1.jpg\" alt=\"\" width=\"512\" height=\"417\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Sekali lagi versi Matplotlib memerlukan lebih banyak baris kode daripada ggplot2.<\/span><\/p>\n<h2> <strong><span style=\"color: #000000;\">Kesimpulan<\/span><\/strong><\/h2>\n<p> <span style=\"color: #000000;\">ggplot2 dan Matplotlib memungkinkan Anda membuat visualisasi data yang sangat dapat disesuaikan, namun ggplot2 cenderung menggunakan lebih sedikit kode.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Seringkali preferensi antara ggplot2 dan Matplotlib bergantung pada bahasa pemrograman yang Anda gunakan untuk analisis data.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Orang yang menggunakan Python cenderung menggunakan Matplotlib karena mereka dapat melakukan analisis data dan membuat visualisasi data menggunakan satu bahasa pemrograman.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Sebaliknya, orang yang menggunakan R cenderung menggunakan ggplot2 karena memungkinkan mereka melakukan semua analisis dan visualisasi data dalam satu bahasa pemrograman.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dua perpustakaan visualisasi data paling populer di seluruh ilmu data adalah ggplot2 dan Matplotlib . Pustaka ggplot2 digunakan dalam bahasa pemrograman statistik R sedangkan Matplotlib digunakan dalam Python. Meskipun kedua pustaka memungkinkan Anda membuat visualisasi data yang sangat disesuaikan, ggplot2 umumnya memungkinkan Anda melakukannya dengan lebih sedikit baris kode dibandingkan dengan Matplotlib. Untuk mengilustrasikan hal [&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>Matplotlib vs ggplot2: mana yang harus Anda gunakan? - Statorial<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan perbedaan antara ggplot2 dan matplotlib, 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\/ggplot2-vs-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matplotlib vs ggplot2: mana yang harus Anda gunakan? - Statorial\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan perbedaan antara ggplot2 dan matplotlib, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-17T04:05:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gg1.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=\"3 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/\",\"url\":\"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/\",\"name\":\"Matplotlib vs ggplot2: mana yang harus Anda gunakan? - Statorial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-17T04:05:48+00:00\",\"dateModified\":\"2023-07-17T04:05:48+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan perbedaan antara ggplot2 dan matplotlib, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/ggplot2-vs-matplotlib\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Matplotlib vs ggplot2: mana yang harus anda gunakan?\"}]},{\"@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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