{"id":3203,"date":"2023-07-18T17:03:26","date_gmt":"2023-07-18T17:03:26","guid":{"rendered":"https:\/\/statorials.org\/pl\/numpy-srednia-vs-srednia\/"},"modified":"2023-07-18T17:03:26","modified_gmt":"2023-07-18T17:03:26","slug":"numpy-srednia-vs-srednia","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/numpy-srednia-vs-srednia\/","title":{"rendered":"Numpy mean() vs average(): jaka jest r\u00f3\u017cnica?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">Do obliczenia \u015bredniej warto\u015bci tablicy w Pythonie mo\u017cesz u\u017cy\u0107 funkcji <strong>np.mean()<\/strong> lub <strong>np.average()<\/strong> .<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">Oto subtelna r\u00f3\u017cnica mi\u0119dzy tymi dwiema funkcjami:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>np.mean<\/b> zawsze oblicza \u015bredni\u0105 arytmetyczn\u0105.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>np.average<\/b> ma opcjonalny parametr <strong>wagi<\/strong> , kt\u00f3rego mo\u017cna u\u017cy\u0107 do obliczenia \u015bredniej wa\u017conej.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Poni\u017csze przyk\u0142ady pokazuj\u0105, jak wykorzysta\u0107 ka\u017cd\u0105 funkcj\u0119 w praktyce.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: U\u017cyj np.mean() i np.average() bez wag<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Za\u0142\u00f3\u017cmy, \u017ce mamy w Pythonie nast\u0119puj\u0105c\u0105 tabel\u0119 zawieraj\u0105c\u0105 siedem warto\u015bci:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create array of values\n<\/span>data = [1, 4, 5, 7, 8, 8, 10]\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 <b>np.mean()<\/b> i <strong>np.average()<\/strong> do obliczenia \u015bredniej warto\u015bci tej tablicy:<\/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> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<\/span>#calculate average value of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">mean<\/span> (data)\n\n6.142857142857143<\/span>\n\n#calculate average value of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">average<\/span> (data)<\/span>\n\n<span style=\"color: #000000;\">6.142857142857143<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Obie funkcje zwracaj\u0105 dok\u0142adnie t\u0119 sam\u0105 warto\u015b\u0107.<\/span><\/p>\n<p> <span style=\"color: #000000;\">W obu funkcjach do obliczenia \u015bredniej wykorzystano nast\u0119puj\u0105cy wz\u00f3r:<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u015arednia = (1 + 4 + 5 + 7 + 8 + 8 + 10) \/ 7 = <strong>6,142857<\/strong> \u2026<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: U\u017cyj np.average() z wagami<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Za\u0142\u00f3\u017cmy jeszcze raz, \u017ce mamy w Pythonie nast\u0119puj\u0105c\u0105 tablic\u0119 zawieraj\u0105c\u0105 siedem warto\u015bci:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create array of values\n<\/span>data = [1, 4, 5, 7, 8, 8, 10]\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Do obliczenia \u015bredniej wa\u017conej dla tej tablicy mo\u017cemy u\u017cy\u0107 <strong>np.average()<\/strong> podaj\u0105c list\u0119 warto\u015bci parametr\u00f3w <strong>wagowych<\/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> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<\/span>#calculate weighted average of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">average<\/span> (data, weights=(.1, .2, .4, .05, .05, .1, .1))<\/span>\n\n<span style=\"color: #000000;\">5.45\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u015arednia wa\u017cona okazuje si\u0119 wynosi\u0107 <strong>5,45<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Oto wz\u00f3r u\u017cywany przez <strong>np.average()<\/strong> do obliczenia tej warto\u015bci:<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u015arednia wa\u017cona = 1*.1 + 4*.2 + 5*.4 + 7*.05 + 8*.05 + 8*.1 + 10*.1 = <strong>5.45<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Zauwa\u017c, \u017ce do wykonania tego obliczenia nie mogli\u015bmy u\u017cy\u0107 <strong>funkcji np.mean()<\/strong> , poniewa\u017c funkcja ta nie posiada parametru <strong>wagi<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Pe\u0142ne wyja\u015bnienie funkcji <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.mean.html\" target=\"_blank\" rel=\"noopener\">np.mean()<\/a> i <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.average.html#\" target=\"_blank\" rel=\"noopener\">np.average()<\/a> znajdziesz w dokumentacji NumPy.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Dodatkowe zasoby<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017csze tutoriale wyja\u015bniaj\u0105 jak obliczy\u0107 inne warto\u015bci \u015brednie w Pythonie:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pl\/pyton-sredniej-ruchomej\/\" target=\"_blank\" rel=\"noopener\">Jak obliczy\u0107 \u015brednie krocz\u0105ce w Pythonie<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/skumulowana-srednia-pythona\/\" target=\"_blank\" rel=\"noopener\">Jak obliczy\u0107 \u015bredni\u0105 skumulowan\u0105 w Pythonie<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Do obliczenia \u015bredniej warto\u015bci tablicy w Pythonie mo\u017cesz u\u017cy\u0107 funkcji np.mean() lub np.average() . Oto subtelna r\u00f3\u017cnica mi\u0119dzy tymi dwiema funkcjami: np.mean zawsze oblicza \u015bredni\u0105 arytmetyczn\u0105. np.average ma opcjonalny parametr wagi , kt\u00f3rego mo\u017cna u\u017cy\u0107 do obliczenia \u015bredniej wa\u017conej. Poni\u017csze przyk\u0142ady pokazuj\u0105, jak wykorzysta\u0107 ka\u017cd\u0105 funkcj\u0119 w praktyce. Przyk\u0142ad 1: U\u017cyj np.mean() i np.average() bez [&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-3203","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>NumPy Mean() vs Average(): jaka jest r\u00f3\u017cnica? - Statoriale<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono r\u00f3\u017cnic\u0119 mi\u0119dzy funkcjami NumPy Mean() i Average() wraz z 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\/numpy-srednia-vs-srednia\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy Mean() vs Average(): jaka jest r\u00f3\u017cnica? - Statoriale\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono r\u00f3\u017cnic\u0119 mi\u0119dzy funkcjami NumPy Mean() i Average() wraz z przyk\u0142adami.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/numpy-srednia-vs-srednia\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T17:03:26+00:00\" \/>\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\/numpy-srednia-vs-srednia\/\",\"url\":\"https:\/\/statorials.org\/pl\/numpy-srednia-vs-srednia\/\",\"name\":\"NumPy Mean() vs Average(): jaka jest r\u00f3\u017cnica? - Statoriale\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-18T17:03:26+00:00\",\"dateModified\":\"2023-07-18T17:03:26+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono r\u00f3\u017cnic\u0119 mi\u0119dzy funkcjami NumPy Mean() i Average() wraz z przyk\u0142adami.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/numpy-srednia-vs-srednia\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/numpy-srednia-vs-srednia\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/numpy-srednia-vs-srednia\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Numpy mean() vs average(): jaka jest r\u00f3\u017cnica?\"}]},{\"@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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