{"id":4235,"date":"2023-07-12T15:27:26","date_gmt":"2023-07-12T15:27:26","guid":{"rendered":"https:\/\/statorials.org\/pl\/rownanie-regplotu-morskiego\/"},"modified":"2023-07-12T15:27:26","modified_gmt":"2023-07-12T15:27:26","slug":"rownanie-regplotu-morskiego","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/rownanie-regplotu-morskiego\/","title":{"rendered":"Jak wy\u015bwietli\u0107 r\u00f3wnanie regresji w seaborn regplot"},"content":{"rendered":"

<\/p>\n

\n

Za pomoc\u0105 funkcji seaborn regplot<\/strong> mo\u017cna wykre\u015bli\u0107 model regresji liniowej pasuj\u0105cy do zbioru danych.<\/span><\/span><\/p>\n

Niestety Seaborn nie ma wbudowanej funkcji wyodr\u0119bniania r\u00f3wnania regresji z linii, ale mo\u017cesz u\u017cy\u0107 funkcji scipy.stats.linregress<\/strong> , aby szybko znale\u017a\u0107 wsp\u00f3\u0142czynniki regresji:<\/span><\/p>\n

 import<\/span> scipy\nimport<\/span> seaborn as<\/span> sns\n\n#create regplot\n<\/span>p = sns. regplot<\/span> (data=df, x=df. x<\/span> , y=df. y<\/span> )\n\n#calculate slope and intercept of regression equation\n<\/span>slope, intercept, r, p, sterr = scipy. stats<\/span> . linregress<\/span> (x= p.get_lines<\/span> ()[0] .get_xdata<\/span> (),\n                                                       y=p. get_lines<\/span> ()[0]. get_ydata<\/span> ())\n<\/strong><\/pre>\n
 Poni\u017cszy przyk\u0142ad pokazuje, jak zastosowa\u0107 t\u0119 sk\u0142adni\u0119 w praktyce.<\/span><\/p>\n
 Przyk\u0142ad: Poka\u017c r\u00f3wnanie regresji w Seaborn Regplot<\/strong><\/span><\/h2>\n
 Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 ramk\u0119 danych pandy, kt\u00f3ra zawiera informacje o godzinach przestudiowanych i wynikach egzamin\u00f3w ko\u0144cowych r\u00f3\u017cnych uczni\u00f3w:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' hours<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   ' score<\/span> ': [77, 79, 84, 80, 81, 89, 95, 90, 83, 89]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   hours score\n0 1 77\n1 2 79\n2 3 84\n3 4 80\n4 5 81\n5 6 89\n6 7 95\n7 8 90\n8 9 83\n9 10 89\n<\/strong><\/pre>\n
 Za\u0142\u00f3\u017cmy, \u017ce chcemy wykre\u015bli\u0107 punkty danych i doda\u0107 do danych dopasowan\u0105 lini\u0119 regresji.<\/span><\/p>\n
 W tym celu mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni:<\/span> <\/p>\n
 import<\/span> scipy\nimport<\/span> seaborn as<\/span> sns\n\n#create regplot\n<\/span>p = sns. regplot<\/span> (data=df, x=df. hours<\/span> , y=df. score<\/span> )\n\n#calculate slope and intercept of regression equation\n<\/span>slope, intercept, r, p, sterr = scipy. stats<\/span> . linregress<\/span> (x= p.get_lines<\/span> ()[0] .get_xdata<\/span> (),\n                                                       y=p. get_lines<\/span> ()[0]. get_ydata<\/span> ())\n\n#display slope and intercept of regression equation\n<\/span>print<\/span> (intercept, slope)\n\n77.39999999999995 1.3272727272727356\n<\/strong><\/pre>\n
\"\"<\/p>\n
 Z wyniku widzimy, \u017ce linia regresji ma nast\u0119puj\u0105ce r\u00f3wnanie:<\/span><\/p>\n
 y = 77,4 + 1,327<\/strong><\/span><\/p>\n
 Je\u015bli chcemy wy\u015bwietli\u0107 to r\u00f3wnanie na Seaborn regplot<\/strong> , mo\u017cemy u\u017cy\u0107 funkcji matplotlib text()<\/strong> :<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\nimport<\/span> scipy\nimport<\/span> seaborn as<\/span> sns\n\n#create regplot\n<\/span>p = sns. regplot<\/span> (data=df, x=df. hours<\/span> , y=df. score<\/span> )\n\n#calculate slope and intercept of regression equation\n<\/span>slope, intercept, r, p, sterr = scipy. stats<\/span> . linregress<\/span> (x= p.get_lines<\/span> ()[0] .get_xdata<\/span> (),\n                                                       y=p. get_lines<\/span> ()[0]. get_ydata<\/span> ())\n\n#add regression equation to plot\n<\/span>plt. text<\/span> (2, 95, ' y =<\/span> ' + str(round(intercept,3)) + ' +<\/span> ' + str(round(slope,3)) + ' x<\/span> ')<\/span><\/strong> <\/pre>\n
\"R\u00f3wnanie<\/p>\n
 Nale\u017cy zauwa\u017cy\u0107, \u017ce r\u00f3wnanie regresji jest teraz wy\u015bwietlane w lewym g\u00f3rnym rogu wykresu.<\/span><\/p>\n
 Zauwa\u017c, \u017ce w funkcji tekst()<\/strong> okre\u015blili\u015bmy, \u017ce r\u00f3wnanie regresji powinno by\u0107 wy\u015bwietlane ze wsp\u00f3\u0142rz\u0119dnych (x, y) (2, 95).<\/span><\/p>\n
 Mo\u017cesz dowolnie modyfikowa\u0107 te wsp\u00f3\u0142rz\u0119dne, aby wy\u015bwietli\u0107 r\u00f3wnanie regresji w dowolnym miejscu na w\u0142asnym wykresie.<\/span><\/p>\n
 Uwaga<\/strong> : Pe\u0142n\u0105 dokumentacj\u0119 funkcji seaborn regplot<\/strong> znajdziesz tutaj<\/a> .<\/span><\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h2>\n
 Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe zadania w Seaborn:<\/span><\/p>\n
 Jak dostosowa\u0107 rozmiar figury na wykresie Seaborn<\/a>
 Jak zmieni\u0107 pozycj\u0119 legendy w Seaborn<\/a>
 Jak zmieni\u0107 etykiety osi na wykresie Seaborn<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Za pomoc\u0105 funkcji seaborn regplot mo\u017cna wykre\u015bli\u0107 model regresji liniowej pasuj\u0105cy do zbioru danych. Niestety Seaborn nie ma wbudowanej funkcji wyodr\u0119bniania r\u00f3wnania regresji z linii, ale mo\u017cesz u\u017cy\u0107 funkcji scipy.stats.linregress , aby szybko znale\u017a\u0107 wsp\u00f3\u0142czynniki regresji: import scipy import seaborn as sns #create regplot p = sns. regplot (data=df, x=df. x , y=df. 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-4235","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak wy\u015bwietli\u0107 r\u00f3wnanie regresji w Seaborn Regplot - Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak wy\u015bwietli\u0107 r\u00f3wnanie regresji na wykresie Seaborn, podaj\u0105c przyk\u0142ad.\" \/>\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\/rownanie-regplotu-morskiego\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak wy\u015bwietli\u0107 r\u00f3wnanie regresji w Seaborn Regplot - Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak wy\u015bwietli\u0107 r\u00f3wnanie regresji na wykresie Seaborn, podaj\u0105c przyk\u0142ad.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/rownanie-regplotu-morskiego\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T15:27:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/regplot1.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\/rownanie-regplotu-morskiego\/\",\"url\":\"https:\/\/statorials.org\/pl\/rownanie-regplotu-morskiego\/\",\"name\":\"Jak wy\u015bwietli\u0107 r\u00f3wnanie regresji w Seaborn Regplot - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-12T15:27:26+00:00\",\"dateModified\":\"2023-07-12T15:27:26+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak wy\u015bwietli\u0107 r\u00f3wnanie regresji na wykresie Seaborn, podaj\u0105c przyk\u0142ad.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/rownanie-regplotu-morskiego\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/rownanie-regplotu-morskiego\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/rownanie-regplotu-morskiego\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak wy\u015bwietli\u0107 r\u00f3wnanie regresji w seaborn regplot\"}]},{\"@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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