{"id":902,"date":"2023-07-28T09:10:08","date_gmt":"2023-07-28T09:10:08","guid":{"rendered":"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/"},"modified":"2023-07-28T09:10:08","modified_gmt":"2023-07-28T09:10:08","slug":"digitaliseren-numpy","status":"publish","type":"post","link":"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/","title":{"rendered":"Variabelen groeperen in python met numpy.digitize()"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Vaak ben je misschien ge\u00efnteresseerd in het plaatsen van de waarden van een variabele in &#8222;bins&#8220; in Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Gelukkig is dit eenvoudig te doen met de functie <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.digitize.html\" target=\"_blank\" rel=\"noopener\">numpy.digitize()<\/a> , die de volgende syntaxis gebruikt:<br \/><\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">numpy.digitize(x, bakken, rechts=False)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">Goud:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong> array om te groeperen.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>bakken:<\/strong> reeks bakken.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>rechts:<\/strong> geeft aan of de intervallen de rechter- of linkerrand van de bak omvatten. Standaard omvat het interval niet de rechterrand.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Deze tutorial toont verschillende voorbeelden van praktisch gebruik van deze functie.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Voorbeeld 1: Plaats alle waarden in twee bakken<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">De volgende code laat zien hoe je de waarden van een array in twee bakken plaatst:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> als x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> als x \u2265 20<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 19, 20, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[20])\n\narray([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1])\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Voorbeeld 2: Plaats alle waarden in drie bakken<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">De volgende code laat zien hoe je de waarden van een array in drie bakken plaatst:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> als x &lt; 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> als 10 \u2264 x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> indien x \u2265 20<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Houd er rekening mee dat als we right= <strong>True<\/strong> specificeren, de waarden in de volgende bakken worden geplaatst:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> als x \u2264 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> als 10 &lt; x \u2264 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> als x &gt; 20<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Elk interval omvat de rechterrand van de bak. Dit is hoe het eruit ziet:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20], right= <span style=\"color: #008000;\">True<\/span> )\n\narray([0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Voorbeeld 3: Plaats alle waarden in vier bakken<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">De volgende code laat zien hoe je de waarden van een array in drie bakken plaatst:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> als x &lt; 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> als 10 \u2264 x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> als 20 \u2264 x &lt; 30<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>3<\/strong> indien x \u2265 30<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20, 30])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 3, 3])\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Voorbeeld 4: Tel de frequentie van elke bak<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Een andere nuttige NumPy-functie die een aanvulling vormt op de numpy.digitize()-functie is de <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.bincount.html#numpy.bincount\" target=\"_blank\" rel=\"noopener\">numpy.bincount()-<\/a> functie, die de frequenties van elke bin telt.<\/span><\/p>\n<p> <span style=\"color: #000000;\">De volgende code laat zien hoe je de waarden van een array in drie groepen plaatst en vervolgens de frequentie van elke groep telt:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">bin_data = np. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\n<span style=\"color: #008080;\">#view binned data<\/span>\nbin_data\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])\n\n<span style=\"color: #008080;\">#count frequency of each bin\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">bincount<\/span> (bin_data)\n\narray([4, 2, 5])\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">De uitvoer vertelt ons dat:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Bin \u201c0\u201d bevat <strong>4<\/strong> gegevenswaarden.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Bin \u201c1\u201d bevat <strong>2<\/strong> gegevenswaarden.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Bin \u201c2\u201d bevat <strong>5<\/strong> gegevenswaarden.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><em><span style=\"color: #000000;\">Vind hier meer Python-tutorials.<\/span><\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Vaak ben je misschien ge\u00efnteresseerd in het plaatsen van de waarden van een variabele in &#8222;bins&#8220; in Python. Gelukkig is dit eenvoudig te doen met de functie numpy.digitize() , die de volgende syntaxis gebruikt: numpy.digitize(x, bakken, rechts=False) Goud: x: array om te groeperen. bakken: reeks bakken. rechts: geeft aan of de intervallen de rechter- of [&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":[],"class_list":["post-902","post","type-post","status-publish","format-standard","hentry","category-gids"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Variabelen groeperen in Python met numpy.digitize() - Statorials<\/title>\n<meta name=\"description\" content=\"Een eenvoudige uitleg over het groeperen van variabelen in Python met behulp van de functie numpy.digitize().\" \/>\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\/nl\/digitaliseren-numpy\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Variabelen groeperen in Python met numpy.digitize() - Statorials\" \/>\n<meta property=\"og:description\" content=\"Een eenvoudige uitleg over het groeperen van variabelen in Python met behulp van de functie numpy.digitize().\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T09:10:08+00:00\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/\",\"url\":\"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/\",\"name\":\"Variabelen groeperen in Python met numpy.digitize() - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/nl\/#website\"},\"datePublished\":\"2023-07-28T09:10:08+00:00\",\"dateModified\":\"2023-07-28T09:10:08+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\"},\"description\":\"Een eenvoudige uitleg over het groeperen van variabelen in Python met behulp van de functie numpy.digitize().\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/nl\/digitaliseren-numpy\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Thuis\",\"item\":\"https:\/\/statorials.org\/nl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Variabelen groeperen in python met numpy.digitize()\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/nl\/#website\",\"url\":\"https:\/\/statorials.org\/nl\/\",\"name\":\"Statorials\",\"description\":\"Uw gids voor statistische competentie\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/nl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"de\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Ik ben Benjamin, een gepensioneerde hoogleraar statistiek die nu een toegewijde Statorials-lesgever is. 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