{"id":3244,"date":"2023-07-18T12:10:45","date_gmt":"2023-07-18T12:10:45","guid":{"rendered":"https:\/\/statorials.org\/id\/sumbu-digital\/"},"modified":"2023-07-18T12:10:45","modified_gmt":"2023-07-18T12:10:45","slug":"sumbu-digital","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/sumbu-digital\/","title":{"rendered":"Penjelasan sederhana tentang sumbu numpy (dengan contoh)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Banyak fungsi di <a href=\"https:\/\/numpy.org\/\" target=\"_blank\" rel=\"noopener\">NumPy<\/a> yang mengharuskan Anda menentukan sumbu untuk menerapkan perhitungan tertentu.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Secara umum, aturan praktis berikut ini berlaku:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>axis=0<\/strong> : Terapkan perhitungan \u201cper kolom\u201d.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>axis=1<\/strong> : Terapkan perhitungan \u201cper baris\u201d.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Gambar berikut menunjukkan representasi visual sumbu pada matriks NumPy dengan 2 baris dan 4 kolom:<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-27486\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/numpyaxis1.jpg\" alt=\"sumbu NumPy\" width=\"541\" height=\"224\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan argumen <strong>sumbu<\/strong> dalam skenario berbeda dengan matriks NumPy berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy matrix\n<\/span>my_matrix = np. <span style=\"color: #3366ff;\">matrix<\/span> ([[1, 4, 7, 8], [5, 10, 12, 14]])\n\n<span style=\"color: #008080;\">#view NumPy matrix\n<\/span>my_matrix\n\nmatrix([[ 1, 4, 7, 8],\n        [5, 10, 12, 14]])\n<\/span><\/span><\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 1: Mencari rata-rata sepanjang sumbu yang berbeda<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan <strong>axis=0<\/strong> untuk mencari rata-rata setiap kolom matriks NumPy:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#find mean of each column in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">mean<\/span> (my_matrix, axis= <span style=\"color: #008000;\">0<\/span> )\n\nmatrix([[ 3. , 7. , 9.5, 11. ]])\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Outputnya menunjukkan nilai rata-rata setiap kolom matriks.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Nilai rata-rata kolom pertama adalah (1 + 5) \/ 2 = <strong>3<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Nilai rata-rata kolom kedua adalah (4 + 10) \/ 2 = <strong>7<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Dan seterusnya.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kita juga dapat menggunakan <strong>axis=1<\/strong> untuk mencari rata-rata setiap baris dalam matriks:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#find mean of each row in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">mean<\/span> (my_matrix, axis= <span style=\"color: #008000;\">1<\/span> )\n\nmatrix([[ 5. ],\n        [10.25]])<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Outputnya menunjukkan nilai rata-rata setiap baris matriks.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Nilai rata-rata pada baris pertama adalah (1+4+7+8) \/ 4 = <strong>5<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Nilai rata-rata pada baris kedua adalah (5+10+12+14) \/ 4 = <strong>10.25<\/strong> .<\/span><\/li>\n<\/ul>\n<h2> <span style=\"color: #000000;\"><strong>Contoh 2: Menemukan jumlah sepanjang sumbu yang berbeda<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan <strong>axis=0<\/strong> untuk mencari jumlah setiap kolom matriks:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#find sum of each column in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">sum<\/span> (my_matrix, axis= <span style=\"color: #008000;\">0<\/span> )\n\nmatrix([[ 6, 14, 19, 22]])\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Outputnya menunjukkan jumlah setiap kolom matriks.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Jumlah kolom pertama adalah 1 + 5 = <strong>6<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Jumlah kolom kedua adalah 4 + 10 = <strong>14<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Dan seterusnya.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Kita juga dapat menggunakan <strong>axis=1<\/strong> untuk mencari jumlah setiap baris matriks:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#find sum of each row in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">sum<\/span> (my_matrix, axis= <span style=\"color: #008000;\">1<\/span> )\n\nmatrix([[20],\n        [41]])<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Outputnya menunjukkan jumlah setiap baris matriks.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Jumlah baris pertama adalah 1+4+7+8 = <strong>20<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Jumlah baris kedua adalah 5+10+12+14 = <strong>41<\/strong> .<\/span><\/li>\n<\/ul>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan operasi umum lainnya di NumPy:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/matriks-acak-numpy\/\" target=\"_blank\" rel=\"noopener\">Cara membuat matriks NumPy dengan bilangan acak<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/matriks-normalisasi-numpy\/\" target=\"_blank\" rel=\"noopener\">Cara menormalkan matriks NumPy<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/numpy-menambahkan-baris-ke-matriks\/\" target=\"_blank\" rel=\"noopener\">Bagaimana cara menambahkan baris ke matriks di NumPy<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Banyak fungsi di NumPy yang mengharuskan Anda menentukan sumbu untuk menerapkan perhitungan tertentu. Secara umum, aturan praktis berikut ini berlaku: axis=0 : Terapkan perhitungan \u201cper kolom\u201d. axis=1 : Terapkan perhitungan \u201cper baris\u201d. Gambar berikut menunjukkan representasi visual sumbu pada matriks NumPy dengan 2 baris dan 4 kolom: Contoh berikut menunjukkan cara menggunakan argumen sumbu dalam [&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>Penjelasan sederhana tentang sumbu NumPy (dengan contoh) - Statorial<\/title>\n<meta name=\"description\" content=\"Tutorial ini memberikan penjelasan sederhana tentang sumbu NumPy, termasuk 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\/sumbu-digital\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Penjelasan sederhana tentang sumbu NumPy (dengan contoh) - Statorial\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini memberikan penjelasan sederhana tentang sumbu NumPy, termasuk beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/sumbu-digital\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T12:10:45+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/numpyaxis1.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=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/sumbu-digital\/\",\"url\":\"https:\/\/statorials.org\/id\/sumbu-digital\/\",\"name\":\"Penjelasan sederhana tentang sumbu NumPy (dengan contoh) - Statorial\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-18T12:10:45+00:00\",\"dateModified\":\"2023-07-18T12:10:45+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini memberikan penjelasan sederhana tentang sumbu NumPy, termasuk beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/sumbu-digital\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/sumbu-digital\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/sumbu-digital\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Penjelasan sederhana tentang sumbu numpy (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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