{"id":4211,"date":"2023-07-12T19:52:17","date_gmt":"2023-07-12T19:52:17","guid":{"rendered":"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/"},"modified":"2023-07-12T19:52:17","modified_gmt":"2023-07-12T19:52:17","slug":"matplotilb-ciasny_uklad","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/","title":{"rendered":"Jak u\u017cywa\u0107 tight_layout() w matplotlib"},"content":{"rendered":"

<\/p>\n

\n

Mo\u017cesz u\u017cy\u0107 funkcji Tight_layout()<\/strong> w Matplotlib, aby automatycznie dostosowa\u0107 dope\u0142nienie pomi\u0119dzy i wok\u00f3\u0142 w\u0105tk\u00f3w pobocznych.<\/span><\/p>\n

Poni\u017cszy przyk\u0142ad pokazuje, jak w praktyce wykorzysta\u0107 t\u0119 funkcj\u0119.<\/span><\/p>\n

Przyk\u0142ad: Jak u\u017cywa\u0107 Tight_layout() w Matplotlib<\/strong><\/span><\/h2>\n

Za\u0142\u00f3\u017cmy, \u017ce u\u017cywamy Matplotilba do utworzenia czterech w\u0105tk\u00f3w pobocznych w siatce 2×2:<\/span> <\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data\n<\/span>x = [1, 2, 3]\ny = [7, 13, 24]\n\n#define layout for subplots\n<\/span>fig, ax = plt. subplots<\/span> (2, 2)\n\n#define subplot titles\n<\/span>ax[0, 0]. plot<\/span> (x,y,color=' red<\/span> ')\nax[0, 1]. plot<\/span> (x,y,color=' blue<\/span> ')\nax[1, 0]. plot<\/span> (x,y,color=' green<\/span> ')\nax[1, 1]. plot<\/span> (x,y,color=' purple<\/span> ')\n\n#add title to each subplot\n<\/span>ax[0, 0]. set_title<\/span> (' First Subplot<\/span> ')\nax[0, 1]. set_title<\/span> (' Second Subplot<\/span> ')\nax[1, 0]. set_title<\/span> (' Third Subplot<\/span> ')\nax[1, 1]. set_title<\/span> (' Fourth Subplot<\/span> ')<\/strong> <\/pre>\n
\"\"<\/p>\n
 Nale\u017cy pami\u0119ta\u0107, \u017ce pomi\u0119dzy w\u0105tkami pobocznymi jest minimalne odst\u0119py, co powoduje, \u017ce tytu\u0142y w niekt\u00f3rych miejscach nak\u0142adaj\u0105 si\u0119 na siebie.<\/span><\/p>\n
 Okre\u015blaj\u0105c fig.tight_layout()<\/strong> mo\u017cemy automatycznie dostosowa\u0107 dope\u0142nienie pomi\u0119dzy w\u0105tkami pobocznymi i wok\u00f3\u0142 nich:<\/span><\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data\n<\/span>x = [1, 2, 3]\ny = [7, 13, 24]\n\n#define layout for subplots\n<\/span>fig, ax = plt. subplots<\/span> (2, 2)\n\n#specify a tight layout<\/span>\nfig. tight_layout<\/span> ()\n\n#define subplot titles\n<\/span>ax[0, 0]. plot<\/span> (x,y,color=' red<\/span> ')\nax[0, 1]. plot<\/span> (x,y,color=' blue<\/span> ')\nax[1, 0]. plot<\/span> (x,y,color=' green<\/span> ')\nax[1, 1]. plot<\/span> (x,y,color=' purple<\/span> ')\n\n#add title to each subplot\n<\/span>ax[0, 0]. set_title<\/span> (' First Subplot<\/span> ')\nax[0, 1]. set_title<\/span> (' Second Subplot<\/span> ')\nax[1, 0]. set_title<\/span> (' Third Subplot<\/span> ')\nax[1, 1]. set_title<\/span> (' Fourth Subplot<\/span> ')<\/strong><\/pre>\n
 \"przyk\u0142ad<\/strong><\/p>\n
 Nale\u017cy zauwa\u017cy\u0107, \u017ce dope\u0142nienie pomi\u0119dzy dzia\u0142kami cz\u0105stkowymi i wok\u00f3\u0142 nich zosta\u0142o dostosowane w taki spos\u00f3b, \u017ce dzia\u0142ki nie nak\u0142adaj\u0105 si\u0119 ju\u017c na \u017caden obszar.<\/span><\/p>\n
 Nale\u017cy zauwa\u017cy\u0107, \u017ce funkcja Tight_layout()<\/strong> przyjmuje argument wype\u0142niaj\u0105cy<\/strong> , aby okre\u015bli\u0107 wype\u0142nienie mi\u0119dzy kraw\u0119dzi\u0105 figury a kraw\u0119dziami \u015bcie\u017cki podrz\u0119dnej jako u\u0142amek rozmiaru czcionki.<\/span><\/p>\n
 Domy\u015blna warto\u015b\u0107 padu<\/strong> to 1,08<\/strong> . Mo\u017cemy jednak zwi\u0119kszy\u0107 t\u0119 warto\u015b\u0107, aby zwi\u0119kszy\u0107 dope\u0142nienie wok\u00f3\u0142 \u015bcie\u017cek:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data\n<\/span>x = [1, 2, 3]\ny = [7, 13, 24]\n\n#define layout for subplots\n<\/span>fig, ax = plt. subplots<\/span> (2, 2)\n\n#specify a tight layout with increased padding<\/span>\nfig. tight_layout<\/span> (pad=5)\n\n#define subplot titles\n<\/span>ax[0, 0]. plot<\/span> (x,y,color=' red<\/span> ')\nax[0, 1]. plot<\/span> (x,y,color=' blue<\/span> ')\nax[1, 0]. plot<\/span> (x,y,color=' green<\/span> ')\nax[1, 1]. plot<\/span> (x,y,color=' purple<\/span> ')\n\n#add title to each subplot\n<\/span>ax[0, 0]. set_title<\/span> (' First Subplot<\/span> ')\nax[0, 1]. set_title<\/span> (' Second Subplot<\/span> ')\nax[1, 0]. set_title<\/span> (' Third Subplot<\/span> ')\nax[1, 1]. set_title<\/span> (' Fourth Subplot<\/span> ')<\/strong> <\/pre>\n
\"Matplotlib<\/p>\n
 Nale\u017cy zwr\u00f3ci\u0107 uwag\u0119, \u017ce wype\u0142nienie wok\u00f3\u0142 dzia\u0142ek zauwa\u017calnie si\u0119 zwi\u0119kszy\u0142o.<\/span><\/p>\n
 Mo\u017cesz swobodnie dostosowa\u0107 warto\u015b\u0107 argumentu pad<\/strong> , aby zwi\u0119kszy\u0107 dope\u0142nienie wok\u00f3\u0142 \u015bcie\u017cek tak bardzo, jak chcesz.<\/span><\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h2>\n
 Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe zadania w Matplotlib:<\/span><\/p>\n
 Jak doda\u0107 tytu\u0142 do w\u0105tk\u00f3w pobocznych w Matplotlib<\/a>
 Jak dostosowa\u0107 rozmiar w\u0105tku pobocznego w Matplotlib<\/a>
 Jak dostosowa\u0107 odst\u0119py mi\u0119dzy w\u0105tkami Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Mo\u017cesz u\u017cy\u0107 funkcji Tight_layout() w Matplotlib, aby automatycznie dostosowa\u0107 dope\u0142nienie pomi\u0119dzy i wok\u00f3\u0142 w\u0105tk\u00f3w pobocznych. Poni\u017cszy przyk\u0142ad pokazuje, jak w praktyce wykorzysta\u0107 t\u0119 funkcj\u0119. Przyk\u0142ad: Jak u\u017cywa\u0107 Tight_layout() w Matplotlib Za\u0142\u00f3\u017cmy, \u017ce u\u017cywamy Matplotilba do utworzenia czterech w\u0105tk\u00f3w pobocznych w siatce 2×2: import matplotlib. pyplot as plt #define data x = [1, 2, 3] y […]<\/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-4211","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak u\u017cywa\u0107 Tight_layout() w Matplotlib \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 Tight_layout w Matplotilb do tworzenia wielu wykres\u00f3w z optymalnym wype\u0142nieniem, \u0142\u0105cznie z przyk\u0142adem.\" \/>\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\/matplotilb-ciasny_uklad\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak u\u017cywa\u0107 Tight_layout() w Matplotlib \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 Tight_layout w Matplotilb do tworzenia wielu wykres\u00f3w z optymalnym wype\u0142nieniem, \u0142\u0105cznie z przyk\u0142adem.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T19:52:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/serre1.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=\"3 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/\",\"url\":\"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/\",\"name\":\"Jak u\u017cywa\u0107 Tight_layout() w Matplotlib \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-12T19:52:17+00:00\",\"dateModified\":\"2023-07-12T19:52:17+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 Tight_layout w Matplotilb do tworzenia wielu wykres\u00f3w z optymalnym wype\u0142nieniem, \u0142\u0105cznie z przyk\u0142adem.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/matplotilb-ciasny_uklad\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak u\u017cywa\u0107 tight_layout() 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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