{"id":3002,"date":"2023-07-19T16:41:49","date_gmt":"2023-07-19T16:41:49","guid":{"rendered":"https:\/\/statorials.org\/pl\/linia-trendu-matplotlib\/"},"modified":"2023-07-19T16:41:49","modified_gmt":"2023-07-19T16:41:49","slug":"linia-trendu-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/linia-trendu-matplotlib\/","title":{"rendered":"Jak doda\u0107 lini\u0119 trendu w matplotlib (z przyk\u0142adem)"},"content":{"rendered":"

<\/p>\n

\n

Aby doda\u0107 lini\u0119 trendu do wykresu w Matplotlib, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cej podstawowej sk\u0142adni:<\/span><\/p>\n

 #create scatterplot\n<\/span>plt. scatter<\/span> (x,y)\n\n#calculate equation for trendline\n<\/span>z = np. polyfit<\/span> (x, y, 1)\np = np. poly1d<\/span> (z)\n\n#add trendline to plot\n<\/span>plt. plot<\/span> (x, p(x))\n<\/strong><\/pre>\n
 Poni\u017csze przyk\u0142ady pokazuj\u0105, jak u\u017cywa\u0107 tej sk\u0142adni w praktyce.<\/span><\/p>\n
 Przyk\u0142ad 1: Utw\u00f3rz liniow\u0105 lini\u0119 trendu w Matplotlib<\/strong><\/span><\/h3>\n
 Poni\u017cszy kod pokazuje, jak utworzy\u0107 podstawow\u0105 lini\u0119 trendu dla wykresu rozrzutu w Matplotlib:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data\nx = np. array<\/span> ([8, 13, 14, 15, 15, 20, 25, 30, 38, 40])\ny = np. array<\/span> ([5, 4, 18, 14, 20, 24, 28, 33, 30, 37])\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (x,y)\n\n#calculate equation for trendline\n<\/span>z = np. polyfit<\/span> (x, y, 1<\/span> )\np = np. poly1d<\/span> (z)\n\n#add trendline to plot\n<\/span>plt. plot<\/span> (x, p(x))<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 Niebieskie kropki reprezentuj\u0105 punkty danych, a prosta niebieska linia przedstawia liniow\u0105 lini\u0119 trendu.<\/span><\/span><\/p>\n
 Pami\u0119taj, \u017ce mo\u017cesz tak\u017ce u\u017cy\u0107 argument\u00f3w color<\/strong> , linewidth<\/strong> i linestyle<\/strong> , aby zmieni\u0107 wygl\u0105d linii trendu:<\/span> <\/p>\n
 #add custom trendline to plot<\/span>\nplt. plot<\/span> (x, p(x), color=\" purple<\/span> \", linewidth= 3<\/span> , linestyle=\" --<\/span> \")\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 Przyk\u0142ad 2: Utw\u00f3rz wielomianow\u0105 lini\u0119 trendu w Matplotlib<\/strong><\/span><\/h3>\n
 Aby utworzy\u0107 wielomianow\u0105 lini\u0119 trendu, wystarczy zmieni\u0107 warto\u015b\u0107 w funkcji np.polyfit()<\/strong> .<\/span><\/p>\n
 Na przyk\u0142ad mo\u017cemy u\u017cy\u0107 warto\u015bci 2<\/strong> , aby utworzy\u0107 kwadratow\u0105 lini\u0119 trendu:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define data\nx = np. array<\/span> ([8, 13, 14, 15, 15, 20, 25, 30, 38, 40])\ny = np. array<\/span> ([5, 4, 18, 14, 20, 24, 28, 33, 30, 37])\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (x,y)\n\n#calculate equation for quadratic trendline\n<\/span>z = np. polyfit<\/span> (x,y, 2<\/span> )\np = np. poly1d<\/span> (z)\n\n#add trendline to plot\n<\/span>plt. plot<\/span> (x, p(x))<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 Zauwa\u017c, \u017ce linia trendu jest teraz zakrzywiona, a nie prosta.<\/span><\/p>\n
 Ta wielomianowa linia trendu jest szczeg\u00f3lnie przydatna, gdy dane maj\u0105 wz\u00f3r nieliniowy, a linia prosta nie jest w stanie odpowiednio uchwyci\u0107 trendu danych.<\/span><\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
 Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe funkcje w Matplotlib:<\/span><\/p>\n
 Jak ukry\u0107 osie w Matplotlib<\/a>
 Jak obraca\u0107 etykiety znacznik\u00f3w wyboru w Matplotlib<\/a>
 Jak zmieni\u0107 liczb\u0119 znacznik\u00f3w w Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Aby doda\u0107 lini\u0119 trendu do wykresu w Matplotlib, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cej podstawowej sk\u0142adni: #create scatterplot plt. scatter (x,y) #calculate equation for trendline z = np. polyfit (x, y, 1) p = np. poly1d (z) #add trendline to plot plt. plot (x, p(x)) Poni\u017csze przyk\u0142ady pokazuj\u0105, jak u\u017cywa\u0107 tej sk\u0142adni w praktyce. Przyk\u0142ad 1: Utw\u00f3rz liniow\u0105 […]<\/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-3002","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak doda\u0107 lini\u0119 trendu w Matplotlib (z przyk\u0142adem) - Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, na przyk\u0142adzie, jak doda\u0107 lini\u0119 trendu do wykresu w Matplotlib.\" \/>\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\/linia-trendu-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak doda\u0107 lini\u0119 trendu w Matplotlib (z przyk\u0142adem) - Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, na przyk\u0142adzie, jak doda\u0107 lini\u0119 trendu do wykresu w Matplotlib.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/linia-trendu-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T16:41:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tendancemat1.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\/linia-trendu-matplotlib\/\",\"url\":\"https:\/\/statorials.org\/pl\/linia-trendu-matplotlib\/\",\"name\":\"Jak doda\u0107 lini\u0119 trendu w Matplotlib (z przyk\u0142adem) - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-19T16:41:49+00:00\",\"dateModified\":\"2023-07-19T16:41:49+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, na przyk\u0142adzie, jak doda\u0107 lini\u0119 trendu do wykresu w Matplotlib.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/linia-trendu-matplotlib\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/linia-trendu-matplotlib\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/linia-trendu-matplotlib\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak doda\u0107 lini\u0119 trendu w matplotlib (z przyk\u0142adem)\"}]},{\"@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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