{"id":2406,"date":"2023-07-22T10:17:48","date_gmt":"2023-07-22T10:17:48","guid":{"rendered":"https:\/\/statorials.org\/id\/matplotlib-daring\/"},"modified":"2023-07-22T10:17:48","modified_gmt":"2023-07-22T10:17:48","slug":"matplotlib-daring","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/matplotlib-daring\/","title":{"rendered":"Cara menggunakan \u201c%matplotlib online\u201d (dengan contoh)"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan kode berikut untuk menampilkan dan menyimpan plot Matplotlib<\/a> di buku catatan Python Jupyter:<\/span><\/p>\n

 %<\/span> matplotlib inline\n<\/strong><\/pre>\n
 Begini cara kode ini dijelaskan di halaman dokumentasi<\/a> :<\/span><\/p>\n
\n
 \u201cDengan backend ini, hasil perintah tracing ditampilkan secara inline<\/em> di frontend seperti notebook Jupyter, tepat di bawah sel kode yang memproduksinya. Plot yang dihasilkan kemudian juga akan disimpan dalam dokumen buku catatan.<\/span><\/p>\n<\/blockquote>\n
 Contoh berikut menunjukkan cara menggunakan kode ini dalam praktik.<\/span><\/p>\n
 Contoh: Cara menggunakan %matplotlibe online<\/strong><\/span><\/h3>\n
 Misalkan kita mencoba menggunakan kode berikut untuk membuat plot garis Matplotlib di notebook Jupyter:<\/span><\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define x and y\n<\/span>x = [1, 6, 10]\ny = [5, 13, 27]\n\n#attempt to create line plot of x and y\n<\/span>plt. plot<\/span> (x, y)\n<\/span><\/span><\/strong><\/pre>\n
 Seperti inilah hasilnya di notebook Jupyter:<\/span> <\/p>\n
\"\"<\/p>\n
 Kode berjalan tanpa kesalahan apa pun, tetapi tidak ada plot garis yang ditampilkan sejalan dengan kode.<\/span><\/p>\n
 Untuk mengatasi masalah ini, kita dapat menggunakan perintah inline %matplotlib<\/strong> sebelum membuat plot garis:<\/span><\/p>\n
 %<\/span> matplotlib inline<\/span>\n\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define x and y\n<\/span>x = [1, 6, 10]\ny = [5, 13, 27]\n\n#create scatter plot of x and y\n<\/span>plt. plot<\/span> (x, y)<\/span><\/span><\/strong>\n<\/pre>\n
 Seperti inilah hasilnya di notebook Jupyter:<\/span> <\/p>\n
\"\"<\/p>\n
 Perhatikan bahwa kode berjalan kembali tanpa kesalahan apa pun dan plotnya ditampilkan sebaris di Notepad.<\/span><\/p>\n
 Perhatikan bahwa setelah kita menggunakan %matplotlib inline<\/strong> , setiap plot Matplotlib yang kita buat di sel buku catatan mendatang juga akan ditampilkan dan disimpan di buku catatan.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan operasi umum lainnya dengan Python:<\/span><\/p>\n
 Cara Memperbaiki KeyError di Pandas<\/a>
 Cara Memperbaiki: ValueError: Tidak dapat mengubah float NaN menjadi int<\/a>
 Cara Memperbaiki: ValueError: Operan tidak dapat disiarkan dengan bentuk<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan kode berikut untuk menampilkan dan menyimpan plot Matplotlib di buku catatan Python Jupyter: % matplotlib inline Begini cara kode ini dijelaskan di halaman dokumentasi : \u201cDengan backend ini, hasil perintah tracing ditampilkan secara inline di frontend seperti notebook Jupyter, tepat di bawah sel kode yang memproduksinya. Plot yang dihasilkan kemudian juga akan […]<\/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":"\nCara menggunakan "%matplotlib inline" (dengan contoh) - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi \u201c%matplotlib inline\u201d di notebook Python Jupyter, 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\/matplotlib-daring\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menggunakan "%matplotlib inline" (dengan contoh) - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menggunakan fungsi \u201c%matplotlib inline\u201d di notebook Python Jupyter, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/matplotlib-daring\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T10:17:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/en-ligne1.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=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/matplotlib-daring\/\",\"url\":\"https:\/\/statorials.org\/id\/matplotlib-daring\/\",\"name\":\"Cara menggunakan "%matplotlib inline" (dengan contoh) - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-22T10:17:48+00:00\",\"dateModified\":\"2023-07-22T10:17:48+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menggunakan fungsi \u201c%matplotlib inline\u201d di notebook Python Jupyter, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/matplotlib-daring\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/matplotlib-daring\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/matplotlib-daring\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menggunakan \u201c%matplotlib online\u201d (dengan contoh)\"}]},{\"@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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