{"id":952,"date":"2023-07-28T05:14:10","date_gmt":"2023-07-28T05:14:10","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/"},"modified":"2023-07-28T05:14:10","modified_gmt":"2023-07-28T05:14:10","slug":"panda-memfilter-beberapa-kondisi","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/","title":{"rendered":"Cara memfilter pandas dataframe pada berbagai kondisi"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Seringkali Anda mungkin ingin memfilter DataFrame pandas pada berbagai kondisi. Untungnya, hal ini mudah dilakukan dengan menggunakan operasi Boolean.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini memberikan beberapa contoh cara memfilter DataFrame panda berikut pada beberapa kondisi:<\/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\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd.DataFrame({'team': ['A', 'A', 'B', 'B', 'C'],\n                   'points': [25, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 9, 12],\n                   'rebounds': [11, 8, 10, 6, 6]})\n\n<span style=\"color: #008080;\">#view DataFrame<\/span> \ndf\n\n        team points assists rebounds\n0 to 25 5 11\n1 to 12 7 8\n2 B 15 7 10\n3 B 14 9 6\n4 C 19 12 6\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Filter pada beberapa kondisi menggunakan \u201cDan\u201d<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara memfilter DataFrame menggunakan operator <em>and<\/em> ( <strong>&amp;<\/strong> ):<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#return only rows where points is greater than 13 and assists is greater than 7<\/span>\ndf[(df. <span style=\"color: #3366ff;\">points<\/span> &gt; 13) <span style=\"color: #993300;\">&amp;<\/span> (df. <span style=\"color: #3366ff;\">assists<\/span> &gt; 7)]\n\n        team points assists rebounds\n3 B 14 9 6\n4 C 19 12 6\n\n<span style=\"color: #008080;\">#return only rows where team is 'A' and points is greater than or equal to 15\n<\/span>df[(df. <span style=\"color: #3366ff;\">team<\/span> == 'A') <span style=\"color: #993300;\">&amp;<\/span> (df. <span style=\"color: #3366ff;\">points<\/span> &gt;= 15)]\n\n\n        team points assists rebounds\n0 to 25 5 11\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2: Filter pada beberapa kondisi menggunakan \u201cAtau\u201d<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara memfilter DataFrame menggunakan operator <i>or<\/i> ( <strong>|<\/strong> ):<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#return only rows where points is greater than 13 or assists is greater than 7<\/span>\ndf[(df. <span style=\"color: #3366ff;\">dots<\/span> &gt; 13) <span style=\"color: #993300;\">|<\/span> (df. <span style=\"color: #3366ff;\">assists<\/span> &gt; 7)]\n\n\n        team points assists rebounds\n0 to 25 5 11\n2 B 15 7 10\n3 B 14 9 6\n4 C 19 12 6\n\n<span style=\"color: #008080;\">#return only rows where team is 'A' or points is greater than or equal to 15\n<\/span>df[( <span style=\"color: #3366ff;\">df.team<\/span> == 'A') <span style=\"color: #993300;\">|<\/span> (df. <span style=\"color: #3366ff;\">points<\/span> &gt;= 15)]\n\n        team points assists rebounds\n0 to 25 5 11\n1 to 12 7 8\n2 B 15 7 10\n4 C 19 12 6<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 3: Filter pada beberapa kondisi menggunakan daftar<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara memfilter DataFrame di mana nilai baris berada dalam daftar.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define a list of values<\/span>\nfilter_list = [12, 14, 15]\n\n<span style=\"color: #008080;\">#return only rows where points is in the list of values<\/span>\ndf[df. <span style=\"color: #3366ff;\">points<\/span> . <span style=\"color: #3366ff;\">isin<\/span> (filter_list)]\n\n\tteam points assists rebounds\n1 to 12 7 8\n2 B 15 7 10\n3 B 14 9 6\n\n<span style=\"color: #008080;\">#define another list of values\n<\/span>filter_list2 = ['A', 'C']\n\n<span style=\"color: #008080;\">#return only rows where team is in the list of values\n<\/span>df[df. <span style=\"color: #3366ff;\">team<\/span> . <span style=\"color: #3366ff;\">isin<\/span> (filter_list2)]\n\n\n        team points assists rebounds\n0 to 25 5 11\n1 to 12 7 8\n4 C 19 12 6<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>Anda dapat menemukan tutorial panda lainnya di sini .<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Seringkali Anda mungkin ingin memfilter DataFrame pandas pada berbagai kondisi. Untungnya, hal ini mudah dilakukan dengan menggunakan operasi Boolean. Tutorial ini memberikan beberapa contoh cara memfilter DataFrame panda berikut pada beberapa kondisi: import pandas as pd #createDataFrame df = pd.DataFrame({&#8216;team&#8217;: [&#8216;A&#8217;, &#8216;A&#8217;, &#8216;B&#8217;, &#8216;B&#8217;, &#8216;C&#8217;], &#8216;points&#8217;: [25, 12, 15, 14, 19], &#8216;assists&#8217;: [5, 7, 7, [&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>Cara memfilter Pandas DataFrame pada berbagai kondisi<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara memfilter DataFrame pandas pada berbagai kondisi, 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\/panda-memfilter-beberapa-kondisi\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara memfilter Pandas DataFrame pada berbagai kondisi\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara memfilter DataFrame pandas pada berbagai kondisi, termasuk beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T05:14:10+00:00\" \/>\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\/panda-memfilter-beberapa-kondisi\/\",\"url\":\"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/\",\"name\":\"Cara memfilter Pandas DataFrame pada berbagai kondisi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T05:14:10+00:00\",\"dateModified\":\"2023-07-28T05:14:10+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara memfilter DataFrame pandas pada berbagai kondisi, termasuk beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/panda-memfilter-beberapa-kondisi\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara memfilter pandas dataframe pada berbagai kondisi\"}]},{\"@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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