{"id":2577,"date":"2023-07-21T15:54:54","date_gmt":"2023-07-21T15:54:54","guid":{"rendered":"https:\/\/statorials.org\/pl\/czynnik-pandy\/"},"modified":"2023-07-21T15:54:54","modified_gmt":"2023-07-21T15:54:54","slug":"czynnik-pandy","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/czynnik-pandy\/","title":{"rendered":"Pandy: jak u\u017cywa\u0107 factorize() do kodowania ci\u0105g\u00f3w znak\u00f3w jako liczb"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Funkcji pandasfactorize <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.factorize.html\" target=\"_blank\" rel=\"noopener\">()<\/a> mo\u017cna u\u017cywa\u0107 do kodowania ci\u0105g\u00f3w znak\u00f3w jako warto\u015bci numerycznych.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Aby zastosowa\u0107 funkcj\u0119 <strong>faktoryzacji()<\/strong> do kolumn ramki DataFrame pandy, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cych metod:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 1: Roz\u0142\u00f3\u017c kolumn\u0119 na czynniki<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">col1<\/span> '] = pd. <span style=\"color: #3366ff;\">factorize<\/span> (df[' <span style=\"color: #ff0000;\">col<\/span> '])[0]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 2: Kolumny specyficzne dla czynnik\u00f3w<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> ']] = df[[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> ']]. <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">pd.factorize<\/span> (x)[ <span style=\"color: #008000;\">0<\/span> ])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 3: Uwzgl\u0119dnij wszystkie kolumny<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df. <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">pd.factorize<\/span> (x)[ <span style=\"color: #008000;\">0<\/span> ])<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Poni\u017cszy przyk\u0142ad pokazuje, 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;\"> <strong><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;\">conf<\/span> ': ['West', 'West', 'East', 'East'],\n                   ' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D'],\n                   ' <span style=\"color: #ff0000;\">position<\/span> ': ['Guard', 'Forward', 'Guard', 'Center'] })\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n   conf team position\n0 West A Guard\n1 West B Forward\n2 East C Guard\n3 East D Center\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: Roz\u0142\u00f3\u017c kolumn\u0119 na czynniki<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak uwzgl\u0119dni\u0107 kolumn\u0119 w ramce DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#factorize the conf column only\n<\/span>df[' <span style=\"color: #ff0000;\">conf<\/span> '] = pd. <span style=\"color: #3366ff;\">factorize<\/span> (df[' <span style=\"color: #ff0000;\">conf<\/span> '])[ <span style=\"color: #008000;\">0<\/span> ]\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n\tconf team position\n0 0 A Guard\n1 0 B Forward\n2 1 C Guard\n3 1 D Center<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce uwzgl\u0119dniona zosta\u0142a tylko kolumna \u201econf\u201d.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Ka\u017cda warto\u015b\u0107, kt\u00f3ra by\u0142a \u201eZachodem\u201d, ma teraz warto\u015b\u0107 0, a ka\u017cda warto\u015b\u0107, kt\u00f3ra by\u0142a \u201eWschodem\u201d, ma teraz warto\u015b\u0107 1.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: Kolumny specyficzne dla wsp\u00f3\u0142czynnika<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak uwzgl\u0119dni\u0107 okre\u015blone kolumny w ramce DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#factorize conf and team columns only\n<\/span>df[[' <span style=\"color: #ff0000;\">conf<\/span> ', ' <span style=\"color: #ff0000;\">team<\/span> ']] = df[[' <span style=\"color: #ff0000;\">conf<\/span> ', ' <span style=\"color: #ff0000;\">team<\/span> ']]. <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">pd.factorize<\/span> (x)[ <span style=\"color: #008000;\">0<\/span> ])\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n        conf team position\n0 0 0 Guard\n1 0 1 Forward\n2 1 2 Guard\n3 1 3 Center\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce kolumny \u201econf\u201d i \u201eteam\u201d zosta\u0142y uwzgl\u0119dnione.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 3: Uwzgl\u0119dnij wszystkie kolumny<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Poni\u017cszy kod pokazuje, jak roz\u0142o\u017cy\u0107 na czynniki wszystkie kolumny w ramce DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#factorize all columns\n<\/span>df = df. <span style=\"color: #3366ff;\">apply<\/span> ( <span style=\"color: #008000;\">lambda<\/span> x: <span style=\"color: #3366ff;\">pd.factorize<\/span> (x)[ <span style=\"color: #008000;\">0<\/span> ])\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n     conf team position\n0 0 0 0\n1 0 1 1\n2 1 2 0\n3 1 3 2\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce wszystkie kolumny zosta\u0142y roz\u0142o\u017cone na czynniki.<\/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 pandach:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pl\/pandy-na-sznurku\/\" target=\"_blank\" rel=\"noopener\">Jak przekonwertowa\u0107 kolumny Pandas DataFrame na ci\u0105gi<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/przekonwertuj-zmienna-kategoryczna-na-cyfrowe-pandy\/\" target=\"_blank\" rel=\"noopener\">Jak przekonwertowa\u0107 zmienn\u0105 kategorialn\u0105 na numeryczn\u0105 w Pandach<\/a><br \/><a href=\"https:\/\/statorials.org\/pl\/pandy-konwertuja-kolumne-na-int\/\" target=\"_blank\" rel=\"noopener\">Jak przekonwertowa\u0107 kolumny Pandas DataFrame na liczb\u0119 ca\u0142kowit\u0105<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Funkcji pandasfactorize () mo\u017cna u\u017cywa\u0107 do kodowania ci\u0105g\u00f3w znak\u00f3w jako warto\u015bci numerycznych. Aby zastosowa\u0107 funkcj\u0119 faktoryzacji() do kolumn ramki DataFrame pandy, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cych metod: Metoda 1: Roz\u0142\u00f3\u017c kolumn\u0119 na czynniki df[&#8217; col1 &#8217;] = pd. factorize (df[&#8217; col &#8217;])[0] Metoda 2: Kolumny specyficzne dla czynnik\u00f3w df[[&#8217; col1 &#8217;, &#8217; col3 &#8217;]] = df[[&#8217; col1 [&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-2577","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 u\u017cywa\u0107 Faktorize() do kodowania ci\u0105g\u00f3w znak\u00f3w jako liczb \u2013 Statologia<\/title>\n<meta name=\"description\" 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