{"id":2026,"date":"2023-07-24T00:47:19","date_gmt":"2023-07-24T00:47:19","guid":{"rendered":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/"},"modified":"2023-07-24T00:47:19","modified_gmt":"2023-07-24T00:47:19","slug":"wypelnienie-pandy","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/","title":{"rendered":"Jak u\u017cywa\u0107 pandas fillna() do zast\u0119powania warto\u015bci nan"},"content":{"rendered":"

<\/p>\n

\n

Mo\u017cesz u\u017cy\u0107 funkcji fillna()<\/strong> , aby zast\u0105pi\u0107 warto\u015bci NaN w ramce DataFrame pandy.<\/span><\/p>\n

Ta funkcja wykorzystuje nast\u0119puj\u0105c\u0105 podstawow\u0105 sk\u0142adni\u0119:<\/span><\/p>\n

 #replace NaN values in one column<\/span>\ndf[' col1<\/span> '] = df[' col1<\/span> ']. fillna<\/span> (0)\n\n#replace NaN values in multiple columns\n<\/span>df[[' col1<\/span> ', ' col2<\/span> ']] = df[[' col1<\/span> ', ' col2<\/span> ']]. fillna<\/span> (0) \n\n#replace NaN values in all columns<\/span>\ndf = df. fillna<\/span> (0)<\/strong><\/pre>\n
 W tym samouczku wyja\u015bniono, jak u\u017cywa\u0107 tej funkcji z nast\u0119puj\u0105c\u0105 ramk\u0105 DataFrame pand:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#create DataFrame with some NaN values<\/span>\ndf = pd.DataFrame({'rating': [np.nan, 85, np.nan, 88, 94, 90, 76, 75, 87, 86],\n                   'points': [25, np.nan, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, np.nan, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [11, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n#view DataFrame<\/span>\ndf\n\n        rating points assists rebounds\n0 NaN 25.0 5.0 11\n1 85.0 NaN 7.0 8\n2 NaN 14.0 7.0 10\n3 88.0 16.0 NaN 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n
 Przyk\u0142ad 1: Zamie\u0144 warto\u015bci NaN w kolumnie<\/strong><\/span><\/h3>\n
 Poni\u017cszy kod pokazuje jak zast\u0105pi\u0107 warto\u015bci NaN zerami w kolumnie \u201euwaga\u201d:<\/span><\/p>\n
 #replace NaNs with zeros in 'rating' column<\/span>\ndf[' rating<\/span> '] = df[' rating<\/span> ']. fillna<\/span> (0)\n\n#view DataFrame<\/span>\ndf\n\n\trating points assists rebounds\n0 0.0 25.0 5.0 11\n1 85.0 NaN 7.0 8\n2 0.0 14.0 7.0 10\n3 88.0 16.0 NaN 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n
 Przyk\u0142ad 2: Zamie\u0144 warto\u015bci NaN w wielu kolumnach<\/strong><\/h3>\n
 Poni\u017cszy kod pokazuje jak zast\u0105pi\u0107 warto\u015bci NaN zerami w kolumnach \u201eocena\u201d i \u201epunkty\u201d:<\/span><\/p>\n
 #replace NaNs with zeros in 'rating' and 'points' columns<\/span>\ndf[[' rating<\/span> ', ' points<\/span> ']] = df[[' rating<\/span> ', ' points<\/span> ']]. fillna<\/span> (0)\n\n#view DataFrame\n<\/span>df\n\n\trating points assists rebounds\n0 0.0 25.0 5.0 11\n1 85.0 0.0 7.0 8\n2 0.0 14.0 7.0 10\n3 88.0 16.0 NaN 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n
 Przyk\u0142ad 3: Zamie\u0144 warto\u015bci NaN we wszystkich kolumnach<\/strong><\/h3>\n
 Poni\u017cszy kod pokazuje, jak zast\u0105pi\u0107 warto\u015bci NaN w ka\u017cdej kolumnie zerami:<\/span><\/p>\n
 #replace NaNs with zeros in all columns<\/span> \ndf = df. fillna<\/span> (0)\n\n#view DataFrame\n<\/span>df\n\n        rating points assists rebounds\n0 0.0 25.0 5.0 11\n1 85.0 0.0 7.0 8\n2 0.0 14.0 7.0 10\n3 88.0 16.0 0.0 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n
 Pe\u0142n\u0105 dokumentacj\u0119 online funkcji fillna()<\/strong> mo\u017cna znale\u017a\u0107 tutaj<\/a> .<\/span><\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
 Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe operacje na pandach:<\/span><\/p>\n
 Jak policzy\u0107 brakuj\u0105ce warto\u015bci w pandach<\/a>
 Jak usun\u0105\u0107 wiersze z warto\u015bciami NaN w Pandach<\/a>
 Jak usun\u0105\u0107 wiersze zawieraj\u0105ce okre\u015blon\u0105 warto\u015b\u0107 w Pandach<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Mo\u017cesz u\u017cy\u0107 funkcji fillna() , aby zast\u0105pi\u0107 warto\u015bci NaN w ramce DataFrame pandy. Ta funkcja wykorzystuje nast\u0119puj\u0105c\u0105 podstawow\u0105 sk\u0142adni\u0119: #replace NaN values in one column df[’ col1 ’] = df[’ col1 ’]. fillna (0) #replace NaN values in multiple columns df[[’ col1 ’, ’ col2 ’]] = df[[’ col1 ’, ’ col2 ’]]. fillna (0) […]<\/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-2026","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak wykorzysta\u0107 Pandas fillna() do zamiany warto\u015bci NaN \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, wraz z przyk\u0142adami, jak u\u017cywa\u0107 funkcji pandas fillna() do zast\u0119powania warto\u015bci NaN w DataFrame.\" \/>\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\/wypelnienie-pandy\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak wykorzysta\u0107 Pandas fillna() do zamiany warto\u015bci NaN \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, wraz z przyk\u0142adami, jak u\u017cywa\u0107 funkcji pandas fillna() do zast\u0119powania warto\u015bci NaN w DataFrame.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T00:47:19+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\/wypelnienie-pandy\/\",\"url\":\"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/\",\"name\":\"Jak wykorzysta\u0107 Pandas fillna() do zamiany warto\u015bci NaN \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-24T00:47:19+00:00\",\"dateModified\":\"2023-07-24T00:47:19+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, wraz z przyk\u0142adami, jak u\u017cywa\u0107 funkcji pandas fillna() do zast\u0119powania warto\u015bci NaN w DataFrame.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak u\u017cywa\u0107 pandas fillna() do zast\u0119powania warto\u015bci nan\"}]},{\"@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. Dzi\u0119ki bogatemu do\u015bwiadczeniu i wiedzy specjalistycznej w dziedzinie statystyki ch\u0119tnie dziel\u0119 si\u0119 swoj\u0105 wiedz\u0105, aby wzmocni\u0107 pozycj\u0119 uczni\u00f3w za po\u015brednictwem Statorials. Wiedzie\u0107 wi\u0119cej\",\"sameAs\":[\"https:\/\/statorials.org\/pl\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Jak wykorzysta\u0107 Pandas fillna() do zamiany warto\u015bci NaN \u2013 Statorials","description":"W tym samouczku wyja\u015bniono, wraz z przyk\u0142adami, jak u\u017cywa\u0107 funkcji pandas fillna() do zast\u0119powania warto\u015bci NaN w DataFrame.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/","og_locale":"pl_PL","og_type":"article","og_title":"Jak wykorzysta\u0107 Pandas fillna() do zamiany warto\u015bci NaN \u2013 Statorials","og_description":"W tym samouczku wyja\u015bniono, wraz z przyk\u0142adami, jak u\u017cywa\u0107 funkcji pandas fillna() do zast\u0119powania warto\u015bci NaN w DataFrame.","og_url":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/","og_site_name":"Statorials","article_published_time":"2023-07-24T00:47:19+00:00","author":"Benjamin Anderson","twitter_card":"summary_large_image","twitter_misc":{"Napisane przez":"Benjamin Anderson","Szacowany czas czytania":"2 minuty"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/","url":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/","name":"Jak wykorzysta\u0107 Pandas fillna() do zamiany warto\u015bci NaN \u2013 Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/pl\/#website"},"datePublished":"2023-07-24T00:47:19+00:00","dateModified":"2023-07-24T00:47:19+00:00","author":{"@id":"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965"},"description":"W tym samouczku wyja\u015bniono, wraz z przyk\u0142adami, jak u\u017cywa\u0107 funkcji pandas fillna() do zast\u0119powania warto\u015bci NaN w DataFrame.","breadcrumb":{"@id":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/#breadcrumb"},"inLanguage":"pl-PL","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/pl\/wypelnienie-pandy\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/pl\/wypelnienie-pandy\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Dom","item":"https:\/\/statorials.org\/pl\/"},{"@type":"ListItem","position":2,"name":"Jak u\u017cywa\u0107 pandas fillna() do zast\u0119powania warto\u015bci nan"}]},{"@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. Dzi\u0119ki bogatemu do\u015bwiadczeniu i wiedzy specjalistycznej w dziedzinie statystyki ch\u0119tnie dziel\u0119 si\u0119 swoj\u0105 wiedz\u0105, aby wzmocni\u0107 pozycj\u0119 uczni\u00f3w za po\u015brednictwem Statorials. Wiedzie\u0107 wi\u0119cej","sameAs":["https:\/\/statorials.org\/pl"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/posts\/2026","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/comments?post=2026"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/posts\/2026\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/media?parent=2026"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/categories?post=2026"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/pl\/wp-json\/wp\/v2\/tags?post=2026"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}