{"id":4202,"date":"2023-07-12T21:32:52","date_gmt":"2023-07-12T21:32:52","guid":{"rendered":"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/"},"modified":"2023-07-12T21:32:52","modified_gmt":"2023-07-12T21:32:52","slug":"diagram-dystrybucji-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/","title":{"rendered":"Jak utworzy\u0107 wykres dystrybucji w matplotlib"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Istniej\u0105 dwa popularne sposoby tworzenia diagramu dystrybucji w Pythonie:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 1: Utw\u00f3rz histogram za pomoc\u0105 Matplotlib<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\nplt. <span style=\"color: #3366ff;\">hist<\/span> (data, color=' <span style=\"color: #ff0000;\">lightgreen<\/span> ', ec=' <span style=\"color: #ff0000;\">black<\/span> ', bins= <span style=\"color: #008000;\">15<\/span> )\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce <strong>kolor<\/strong> steruje kolorem wype\u0142nienia s\u0142upk\u00f3w, <strong>ec<\/strong> steruje kolorem kraw\u0119dzi s\u0142upk\u00f3w, a <strong>pojemniki<\/strong> steruje liczb\u0105 pojemnik\u00f3w na histogramie.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 2: Utw\u00f3rz histogram z krzyw\u0105 g\u0119sto\u015bci za pomoc\u0105 programu Seaborn<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\nsns. <span style=\"color: #3366ff;\">displot<\/span> (data, kde= <span style=\"color: #008000;\">True<\/span> , bins= <span style=\"color: #008000;\">15<\/span> )\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Zauwa\u017c, \u017ce <strong>kde=True<\/strong> okre\u015bla, \u017ce na histogram powinna zosta\u0107 na\u0142o\u017cona krzywa g\u0119sto\u015bci.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">Poni\u017csze przyk\u0142ady pokazuj\u0105, jak w praktyce wykorzysta\u0107 ka\u017cd\u0105 metod\u0119 do wizualizacji rozk\u0142adu warto\u015bci w poni\u017cszej tablicy NumPy:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#make this example reproducible.\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seed<\/span> ( <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#create numpy array with 1000 values that follows normal dist with mean=10 and sd=2\n<\/span>data = np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">normal<\/span> (size= <span style=\"color: #008000;\">1000<\/span> , loc= <span style=\"color: #008000;\">10<\/span> , scale= <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view first five values\n<\/span>data[: <span style=\"color: #008000;\">5<\/span> ]\n\narray([13.24869073, 8.77648717, 8.9436565, 7.85406276, 11.73081526])\n<\/span><\/span><\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: Utw\u00f3rz histogram za pomoc\u0105 Matplotlib<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 poni\u017cszego kodu, aby utworzy\u0107 histogram w Matplotlib, aby zwizualizowa\u0107 rozk\u0142ad warto\u015bci w tablicy NumPy:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create histogram\n<\/span>plt. <span style=\"color: #3366ff;\">hist<\/span> (data, color=' <span style=\"color: #ff0000;\">lightgreen<\/span> ', ec=' <span style=\"color: #ff0000;\">black<\/span> ', bins= <span style=\"color: #008000;\">15<\/span> )\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33255 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/deploiement1.jpg\" alt=\"\" width=\"502\" height=\"368\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">O\u015b x wy\u015bwietla warto\u015bci z tablicy NumPy, a o\u015b y wy\u015bwietla cz\u0119stotliwo\u015b\u0107 tych warto\u015bci.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce im wi\u0119ksz\u0105 warto\u015b\u0107 zastosujesz w argumencie <strong>bins<\/strong> , tym wi\u0119cej s\u0142upk\u00f3w b\u0119dzie na histogramie.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: Utw\u00f3rz histogram z krzyw\u0105 g\u0119sto\u015bci za pomoc\u0105 Seaborn<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 poni\u017cszego kodu, aby utworzy\u0107 histogram z na\u0142o\u017con\u0105 <a href=\"https:\/\/statorials.org\/pl\/krzywe-gestosci\/\" target=\"_blank\" rel=\"noopener\">krzyw\u0105 g\u0119sto\u015bci<\/a> , korzystaj\u0105c z biblioteki wizualizacji danych seaborn:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008080;\">#create histogram with density curve overlaid\n<\/span>sns. <span style=\"color: #3366ff;\">displot<\/span> (data, kde= <span style=\"color: #008000;\">True<\/span> , bins= <span style=\"color: #008000;\">15<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33256 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/deploiement2.jpg\" alt=\"\" width=\"497\" height=\"495\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Wynikiem jest histogram, na kt\u00f3ry na\u0142o\u017cona jest krzywa g\u0119sto\u015bci.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Zalet\u0105 stosowania krzywej g\u0119sto\u015bci jest to, \u017ce podsumowuje ona kszta\u0142t rozk\u0142adu za pomoc\u0105 pojedynczej ci\u0105g\u0142ej krzywej.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>Uwaga<\/strong> : pe\u0142n\u0105 dokumentacj\u0119 funkcji seaborn <strong>displot()<\/strong> mo\u017cna znale\u017a\u0107 <a href=\"https:\/\/seaborn.pydata.org\/generated\/seaborn.displot.html\" target=\"_blank\" rel=\"noopener\">tutaj<\/a> .<\/span><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Dodatkowe zasoby<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Poni\u017csze samouczki wyja\u015bniaj\u0105, jak tworzy\u0107 inne popularne wykresy w Pythonie:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pl\/matplotlib-skumulowany-wykres-s\u0142upkowy\/\" target=\"_blank\" rel=\"noopener\">Jak tworzy\u0107 skumulowane wykresy s\u0142upkowe w Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/histogram-czestotliwosci-wzglednej-matplotlib\/\" target=\"_blank\" rel=\"noopener\">Jak utworzy\u0107 histogram cz\u0119stotliwo\u015bci wzgl\u0119dnej w Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/poziomy-barplot-urodzony-w-morzu\/\" target=\"_blank\" rel=\"noopener\">Jak stworzy\u0107 poziomy barplot w Seaborn<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Istniej\u0105 dwa popularne sposoby tworzenia diagramu dystrybucji w Pythonie: Metoda 1: Utw\u00f3rz histogram za pomoc\u0105 Matplotlib import matplotlib. pyplot as plt plt. hist (data, color=&#8217; lightgreen &#8217;, ec=&#8217; black &#8217;, bins= 15 ) Nale\u017cy pami\u0119ta\u0107, \u017ce kolor steruje kolorem wype\u0142nienia s\u0142upk\u00f3w, ec steruje kolorem kraw\u0119dzi s\u0142upk\u00f3w, a pojemniki steruje liczb\u0105 pojemnik\u00f3w na histogramie. Metoda 2: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-4202","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Jak utworzy\u0107 wykres rozk\u0142adu w Matplotlib - Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak utworzy\u0107 wykres rozk\u0142adu w Matplotlib, z kilkoma przyk\u0142adami.\" \/>\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\/pl\/diagram-dystrybucji-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak utworzy\u0107 wykres rozk\u0142adu w Matplotlib - Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak utworzy\u0107 wykres rozk\u0142adu w Matplotlib, z kilkoma przyk\u0142adami.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T21:32:52+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/deploiement1.jpg\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Napisane przez\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Szacowany czas czytania\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/\",\"url\":\"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/\",\"name\":\"Jak utworzy\u0107 wykres rozk\u0142adu w Matplotlib - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-12T21:32:52+00:00\",\"dateModified\":\"2023-07-12T21:32:52+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak utworzy\u0107 wykres rozk\u0142adu w Matplotlib, z kilkoma przyk\u0142adami.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/diagram-dystrybucji-matplotlib\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak utworzy\u0107 wykres dystrybucji w matplotlib\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pl\/#website\",\"url\":\"https:\/\/statorials.org\/pl\/\",\"name\":\"Statorials\",\"description\":\"Tw\u00f3j przewodnik po kompetencjach statystycznych!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"Cze\u015b\u0107, jestem Benjamin i jestem emerytowanym profesorem statystyki, kt\u00f3ry zosta\u0142 oddanym nauczycielem Statorials. 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