{"id":3115,"date":"2023-07-19T03:33:14","date_gmt":"2023-07-19T03:33:14","guid":{"rendered":"https:\/\/statorials.org\/pl\/pandy-sprawdz-typ-wszystkich-kolumn\/"},"modified":"2023-07-19T03:33:14","modified_gmt":"2023-07-19T03:33:14","slug":"pandy-sprawdz-typ-wszystkich-kolumn","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/pandy-sprawdz-typ-wszystkich-kolumn\/","title":{"rendered":"Pandy: jak sprawdzi\u0107 typ wszystkich kolumn w dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cych metod, aby sprawdzi\u0107 typ danych ( <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/arrays.dtypes.html\" target=\"_blank\" rel=\"noopener\">dtype<\/a> ) kolumn w ramce DataFrame pandy:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 1: Sprawd\u017a typ kolumny<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">column_name<\/span> . <span style=\"color: #3366ff;\">dtype\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 2: Sprawd\u017a typ wszystkich kolumn<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">dtypes\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 3: Sprawd\u017a, kt\u00f3re kolumny maj\u0105 okre\u015blony typ<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">dtypes<\/span> [df. <span style=\"color: #3366ff;\">dtypes<\/span> == ' <span style=\"color: #ff0000;\">int64<\/span> ']<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Poni\u017csze przyk\u0142ady pokazuj\u0105, jak u\u017cywa\u0107 ka\u017cdej metody z nast\u0119puj\u0105c\u0105 ramk\u0105 DataFrame pand:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9],\n                   ' <span style=\"color: #ff0000;\">all_star<\/span> ': [True, False, False, True, True, True]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists all_star\n0 A 18 5 True\n1 B 22 7 False\n2 C 19 7 False\n3 D 14 9 True\n4 E 14 12 True\n5 F 11 9 True<\/b><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: Sprawd\u017a typ kolumny<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby sprawdzi\u0107 typ danych tylko kolumny <strong>punktowej<\/strong> w DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#check dtype of points column<\/span>\ndf. <span style=\"color: #3366ff;\">points<\/span> . <span style=\"color: #3366ff;\">dtype\n\n<span style=\"color: #000000;\">dtype('int64')<\/span><\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Z wyniku widzimy, \u017ce kolumna <strong>punktowa<\/strong> ma typ danych ca\u0142kowitych.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: Sprawd\u017a typ wszystkich kolumn<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby sprawdzi\u0107 typ danych wszystkich kolumn w DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#check dtype of all columns<\/span>\ndf. <span style=\"color: #3366ff;\">dtypes\n\n<\/span>team object\nint64 dots\nassists int64\nall_star bool\ndtype:object\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Z wyniku mo\u017cemy zobaczy\u0107:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">kolumna <strong>zespo\u0142u<\/strong> : obiekt (jest taki sam jak ci\u0105g znak\u00f3w)<\/span><\/li>\n<li> <span style=\"color: #000000;\">kolumna <strong>punkt\u00f3w<\/strong> : liczba ca\u0142kowita<\/span><\/li>\n<li> <span style=\"color: #000000;\">kolumna <strong>pomocnicza<\/strong> : liczba ca\u0142kowita<\/span><\/li>\n<li> <span style=\"color: #000000;\">kolumna <strong>all_star<\/strong> : warto\u015b\u0107 logiczna<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">U\u017cywaj\u0105c tej pojedynczej linii kodu, mo\u017cemy zobaczy\u0107 typ danych ka\u017cdej kolumny w ramce DataFrame.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 3: Sprawd\u017a, kt\u00f3re kolumny maj\u0105 okre\u015blony typ<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby sprawdzi\u0107, kt\u00f3re kolumny w DataFrame maj\u0105 typ danych int64:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#show all columns that have a class of int64\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">dtypes<\/span> [df. <span style=\"color: #3366ff;\">dtypes<\/span> == ' <span style=\"color: #ff0000;\">int64<\/span> ']\n\nint64 dots\nassists int64\ndtype:object<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Z wyniku widzimy, \u017ce kolumny <strong>punkt\u00f3w<\/strong> i <strong>asyst<\/strong> maj\u0105 typ danych int64.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 podobnej sk\u0142adni, aby sprawdzi\u0107, kt\u00f3re kolumny maj\u0105 inne typy danych.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Na przyk\u0142ad mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby sprawdzi\u0107, kt\u00f3re kolumny w DataFrame maj\u0105 obiektowy typ danych:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#show all columns that have a class of object (ie string)\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">dtypes<\/span> [df. <span style=\"color: #3366ff;\">dtypes<\/span> == ' <span style=\"color: #ff0000;\">O<\/span> ']\n\nteam object\ndtype:object<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Widzimy, \u017ce tylko kolumna <strong>zespo\u0142u<\/strong> ma typ danych \u201eO\u201d, kt\u00f3ry oznacza obiekt.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Dodatkowe zasoby<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe operacje na ramkach DataFrames pand:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pl\/ramka-danych-pand-pobiera-wartosc-komorki\/\" target=\"_blank\" rel=\"noopener\">Pandy: Jak uzyska\u0107 warto\u015b\u0107 kom\u00f3rki z DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-otrzymuja-indeks-wiersza\/\" target=\"_blank\" rel=\"noopener\">Pandy: pobierz indeks wierszy, kt\u00f3rych kolumna odpowiada warto\u015bci<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-ustawiaja-kolumne-jako-indeks\/\" target=\"_blank\" rel=\"noopener\">Pandy: Jak ustawi\u0107 kolumn\u0119 jako indeks<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cych metod, aby sprawdzi\u0107 typ danych ( dtype ) kolumn w ramce DataFrame pandy: Metoda 1: Sprawd\u017a typ kolumny df. column_name . dtype Metoda 2: Sprawd\u017a typ wszystkich kolumn df. dtypes Metoda 3: Sprawd\u017a, kt\u00f3re kolumny maj\u0105 okre\u015blony typ df. dtypes [df. dtypes == &#8217; int64 &#8217;] Poni\u017csze przyk\u0142ady pokazuj\u0105, jak u\u017cywa\u0107 ka\u017cdej [&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-3115","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>Pandy: Jak sprawdzi\u0107 typ wszystkich kolumn w DataFrame \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak sprawdzi\u0107 typ wszystkich kolumn w ramce DataFrame pandy, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\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\/pandy-sprawdz-typ-wszystkich-kolumn\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandy: Jak sprawdzi\u0107 typ wszystkich kolumn w DataFrame \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak sprawdzi\u0107 typ wszystkich kolumn w ramce DataFrame pandy, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/pandy-sprawdz-typ-wszystkich-kolumn\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T03:33:14+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\/pandy-sprawdz-typ-wszystkich-kolumn\/\",\"url\":\"https:\/\/statorials.org\/pl\/pandy-sprawdz-typ-wszystkich-kolumn\/\",\"name\":\"Pandy: Jak sprawdzi\u0107 typ wszystkich kolumn w DataFrame \u2013 Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-19T03:33:14+00:00\",\"dateModified\":\"2023-07-19T03:33:14+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak sprawdzi\u0107 typ wszystkich kolumn w ramce DataFrame pandy, podaj\u0105c kilka przyk\u0142ad\u00f3w.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/pandy-sprawdz-typ-wszystkich-kolumn\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/pandy-sprawdz-typ-wszystkich-kolumn\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/pandy-sprawdz-typ-wszystkich-kolumn\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandy: jak sprawdzi\u0107 typ wszystkich kolumn w dataframe\"}]},{\"@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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