{"id":3350,"date":"2023-07-17T23:07:30","date_gmt":"2023-07-17T23:07:30","guid":{"rendered":"https:\/\/statorials.org\/id\/warna-default-matplotlib\/"},"modified":"2023-07-17T23:07:30","modified_gmt":"2023-07-17T23:07:30","slug":"warna-default-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/warna-default-matplotlib\/","title":{"rendered":"Panduan lengkap warna default di matplotlib"},"content":{"rendered":"

<\/p>\n

\n

Di Python, Matplotlib memiliki daftar warna default yang digunakan untuk elemen dalam plot berdasarkan jumlah total elemen.<\/span><\/p>\n

Misalnya, kita dapat menggunakan kode berikut untuk memplot baris yang menampilkan 10 warna teratas secara default di Matplotlib:<\/span><\/span><\/p>\n

 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib.pyplot as<\/span> plt\n\n#defineplot\n<\/span>fig = plt. figure<\/span> ()\nax = fig. add_subplot<\/span> (111)\n\n#define range\n<\/span>j = np. orange<\/span> (11)\n\n#add lines to plot\n<\/span>for<\/span> i in<\/span> range(10):\n    line, = ax. plot<\/span> (j,i*(j+1))\n    ax. plot<\/span> (j,i*(j+1), color = line.get_color<\/span> ())\n\n#displayplot\n<\/span>plt. show<\/span> ()\n<\/strong><\/span><\/pre>\n
 \"Warna<\/span><\/p>\n
 Matplotlib memilih 10 warna pertama secara default untuk garis plot.<\/span><\/p>\n
 Kita dapat menggunakan kode berikut untuk menampilkan kode warna heksadesimal sebenarnya untuk masing-masing sepuluh warna:<\/span><\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#display hex color codes\n<\/span>print<\/span> ( plt.rcParams<\/span> [' axes.prop_cycle<\/span> ']. by_key<\/span> ()[' color<\/span> '])\n\n['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2',\n '#7f7f7f', '#bcbd22', '#17becf']\n<\/strong><\/span><\/pre>\n
 Outputnya menampilkan kode warna heksadesimal untuk masing-masing dari sepuluh warna default.<\/span><\/p>\n
 Misalnya, kode warna heksadesimal pertama adalah #1f77b4<\/strong> . Ini sesuai dengan baris pertama plot yang berwarna biru.<\/span><\/p>\n
 Kode warna heksadesimal kedua adalah #ff7f0e<\/strong> . Ini sesuai dengan baris kedua plot yang berwarna oranye.<\/span><\/p>\n
 Kode warna heksadesimal ketiga adalah #2ca02c<\/strong> . Ini sesuai dengan baris ketiga plot yang berwarna hijau.<\/span><\/p>\n
 Dan seterusnya.<\/span><\/p>\n
 Artinya jika Anda membuat plot di Matplotlib dengan satu garis, warna garisnya akan menjadi #1f77b4<\/strong> kecuali ditentukan lain.<\/span><\/p>\n
 Atau jika Anda membuat plot di Matplotlib dengan dua garis, warna baris pertama adalah #1f77b4<\/strong> dan warna baris kedua adalah #ff7f0e<\/strong> , kecuali ditentukan lain.<\/span><\/p>\n
 Lihat dokumentasi Matplotlib<\/a> untuk penjelasan lengkap tentang warna default.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h2>\n
 Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di Matplotlib:<\/span><\/p>\n
Bagaimana mengubah warna latar belakang di Matplotlib<\/a>
 Cara memplot hanya kotak horizontal di Matplotlib<\/a>
 Cara mengatur centang sumbu di Matplotlib<\/p>\n","protected":false},"excerpt":{"rendered":"
Di Python, Matplotlib memiliki daftar warna default yang digunakan untuk elemen dalam plot berdasarkan jumlah total elemen. Misalnya, kita dapat menggunakan kode berikut untuk memplot baris yang menampilkan 10 warna teratas secara default di Matplotlib: import numpy as np import matplotlib.pyplot as plt #defineplot fig = plt. figure () ax = fig. add_subplot (111) #define […]<\/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":"\nPanduan Lengkap Warna Default di Matplotlib \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini memberikan penjelasan tentang warna default di Matplotlib, termasuk 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\/warna-default-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Panduan Lengkap Warna Default di Matplotlib \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini memberikan penjelasan tentang warna default di Matplotlib, termasuk contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/warna-default-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-17T23:07:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/matdefault1.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-default-matplotlib\/\",\"url\":\"https:\/\/statorials.org\/id\/warna-default-matplotlib\/\",\"name\":\"Panduan Lengkap Warna Default di Matplotlib \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-17T23:07:30+00:00\",\"dateModified\":\"2023-07-17T23:07:30+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini memberikan penjelasan tentang warna default di Matplotlib, termasuk contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/warna-default-matplotlib\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/warna-default-matplotlib\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/warna-default-matplotlib\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Panduan lengkap warna default di matplotlib\"}]},{\"@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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