{"id":1189,"date":"2023-07-27T08:34:43","date_gmt":"2023-07-27T08:34:43","guid":{"rendered":"https:\/\/statorials.org\/pl\/grubosc-linii-matplotlib\/"},"modified":"2023-07-27T08:34:43","modified_gmt":"2023-07-27T08:34:43","slug":"grubosc-linii-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/grubosc-linii-matplotlib\/","title":{"rendered":"Jak dostosowa\u0107 grubo\u015b\u0107 linii w matplotlib"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Mo\u017cesz \u0142atwo dostosowa\u0107 grubo\u015b\u0107 linii na wykresach Matplotlib za pomoc\u0105 funkcji argumentu <b>linewidth<\/b> , kt\u00f3ra wykorzystuje nast\u0119puj\u0105c\u0105 sk\u0142adni\u0119:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>matplotlib.pyplot.plot(x, y, szeroko\u015b\u0107 linii=1,5)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Domy\u015blna szeroko\u015b\u0107 linii wynosi 1,5, ale mo\u017cna j\u0105 dostosowa\u0107 do dowolnej warto\u015bci wi\u0119kszej ni\u017c 0.<\/span><\/p>\n<p> <span style=\"color: #000000;\">W tym samouczku znajdziesz kilka przyk\u0142ad\u00f3w praktycznego wykorzystania tej funkcji.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: Dostosuj grubo\u015b\u0107 linii<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak utworzy\u0107 prosty wykres liniowy i ustawi\u0107 szeroko\u015b\u0107 linii na 3:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt<\/span>\nimport <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span><span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">linspace<\/span> (0, 10, 100)\ny1 = np. <span style=\"color: #3366ff;\">sin<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/3)\n\n<span style=\"color: #008080;\">#create line plot with line width set to 3\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, y1, linewidth= <span style=\"color: #008000;\">3<\/span> )\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11835 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/largeur-de-ligne1-1.png\" alt=\"Dostosuj szeroko\u015b\u0107 linii w matplotlib\" width=\"418\" height=\"277\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2:<\/strong><\/span> <span style=\"color: #000000;\"><strong>Dostosuj grubo\u015b\u0107 wielu linii<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak dostosowa\u0107 grubo\u015b\u0107 wielu linii jednocze\u015bnie:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> as plt<\/span>\nimport <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span><span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">linspace<\/span> (0, 10, 100)\ny1 = np. <span style=\"color: #3366ff;\">sin<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/3)\ny2 = np. <span style=\"color: #3366ff;\">cos<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/5)\n\n<span style=\"color: #008080;\">#create line plot with multiple lines\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, y1, linewidth= <span style=\"color: #008000;\">3<\/span> )\nplt. <span style=\"color: #3366ff;\">plot<\/span> (x, y2, linewidth= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11836 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/largeur-de-ligne2.png\" alt=\"Dostosuj wiele grubo\u015bci linii w matplotlib w Pythonie\" width=\"425\" height=\"273\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 3: Dostosuj grubo\u015b\u0107 linii w podpisach<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak utworzy\u0107 wiele linii o r\u00f3\u017cnej grubo\u015bci i utworzy\u0107 legend\u0119, kt\u00f3ra odpowiednio wy\u015bwietla grubo\u015b\u0107 ka\u017cdej linii:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> as plt<\/span>\nimport <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span><span style=\"color: #000000;\">x = np. <span style=\"color: #3366ff;\">linspace<\/span> (0, 10, 100)\ny1 = np. <span style=\"color: #3366ff;\">sin<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/3)\ny2 = np. <span style=\"color: #3366ff;\">cos<\/span> (x)*np. <span style=\"color: #3366ff;\">exp<\/span> (-x\/5)\n\n<span style=\"color: #008080;\">#create line plot with multiple lines\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x,y1,linewidth=3,label=' <span style=\"color: #008000;\">y1<\/span> ')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (x, y2, linewidth=1, label=' <span style=\"color: #008000;\">y2<\/span> ')\n\n<span style=\"color: #008080;\">#add legend\n<\/span>plt. <span style=\"color: #3366ff;\">legend<\/span> ()\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11837 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/largeur-de-ligne3.png\" alt=\"Dostosuj szeroko\u015b\u0107 linii w legendzie matplotlib\" width=\"385\" height=\"254\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Dodatkowe zasoby<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/pl\/matplotlib-wype\u0142nij-pomiedzy\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jak wype\u0142ni\u0107 obszary mi\u0119dzy liniami w Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/matplotlib-usuwa-znaczniki\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jak usun\u0105\u0107 znaczniki z wykres\u00f3w Matplotlib<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/legenda-matplotlib-poza-dzia\u0142ka\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jak umie\u015bci\u0107 legend\u0119 poza wykresem Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mo\u017cesz \u0142atwo dostosowa\u0107 grubo\u015b\u0107 linii na wykresach Matplotlib za pomoc\u0105 funkcji argumentu linewidth , kt\u00f3ra wykorzystuje nast\u0119puj\u0105c\u0105 sk\u0142adni\u0119: matplotlib.pyplot.plot(x, y, szeroko\u015b\u0107 linii=1,5) Domy\u015blna szeroko\u015b\u0107 linii wynosi 1,5, ale mo\u017cna j\u0105 dostosowa\u0107 do dowolnej warto\u015bci wi\u0119kszej ni\u017c 0. W tym samouczku znajdziesz kilka przyk\u0142ad\u00f3w praktycznego wykorzystania tej funkcji. Przyk\u0142ad 1: Dostosuj grubo\u015b\u0107 linii Poni\u017cszy kod pokazuje, [&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-1189","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 dostosowa\u0107 grubo\u015b\u0107 linii w Matplotlib - Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak dostosowa\u0107 grubo\u015b\u0107 linii na wykresach Matplotlib, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\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\/grubosc-linii-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak dostosowa\u0107 grubo\u015b\u0107 linii w Matplotlib - Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak dostosowa\u0107 grubo\u015b\u0107 linii na wykresach Matplotlib, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/grubosc-linii-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T08:34:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/largeur-de-ligne1-1.png\" \/>\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\/grubosc-linii-matplotlib\/\",\"url\":\"https:\/\/statorials.org\/pl\/grubosc-linii-matplotlib\/\",\"name\":\"Jak dostosowa\u0107 grubo\u015b\u0107 linii w Matplotlib - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-27T08:34:43+00:00\",\"dateModified\":\"2023-07-27T08:34:43+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak dostosowa\u0107 grubo\u015b\u0107 linii na wykresach Matplotlib, podaj\u0105c kilka przyk\u0142ad\u00f3w.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/grubosc-linii-matplotlib\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/grubosc-linii-matplotlib\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/grubosc-linii-matplotlib\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak dostosowa\u0107 grubo\u015b\u0107 linii 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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