{"id":4107,"date":"2023-07-13T13:24:27","date_gmt":"2023-07-13T13:24:27","guid":{"rendered":"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/"},"modified":"2023-07-13T13:24:27","modified_gmt":"2023-07-13T13:24:27","slug":"pandy-posortowane-wedlug-lancucha","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/","title":{"rendered":"Pandy: jak sortowa\u0107 dataframe na podstawie kolumny ci\u0105g\u00f3w"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cych metod, aby posortowa\u0107 wiersze ramki DataFrame pandy na podstawie warto\u015bci okre\u015blonej kolumny ci\u0105gu:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metoda 1: Sortuj wed\u0142ug kolumny ci\u0105gu (gdy kolumna zawiera tylko znaki)<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">my_string_column<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metoda 2: Sortuj wed\u0142ug kolumny ci\u0105gu (je\u015bli kolumna zawiera znaki <em>i<\/em> cyfry)<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create 'sort' column that contains digits from 'my_string_column'\n<\/span><span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">sort<\/span> '] = df[' <span style=\"color: #ff0000;\">my_string_column<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">extract<\/span> (' <span style=\"color: #ff0000;\">(\\d+)<\/span> ', expand= <span style=\"color: #008000;\">False<\/span> ). <span style=\"color: #3366ff;\">astype<\/span> (int)\n<\/span>\n<span style=\"color: #008080;\">#sort rows based on digits in 'sort' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">sort<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Poni\u017csze przyk\u0142ady pokazuj\u0105, jak zastosowa\u0107 ka\u017cd\u0105 metod\u0119 w praktyce.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 1: Sortowanie wed\u0142ug kolumny ci\u0105gu (gdy kolumna zawiera tylko znaki)<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 pand\u0119 DataFrame zawieraj\u0105c\u0105 informacje o sprzeda\u017cy r\u00f3\u017cnych produkt\u00f3w w sklepie spo\u017cywczym:<\/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;\">product<\/span> ': ['Apples', 'Oranges', 'Bananas', 'Lettuce', 'Beans'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [18, 22, 19, 14, 29]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   product sales\n0 Apples 18\n1 Oranges 22\n2 Bananas 19\n3 Lettuce 14\n4 Beans 29<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cej sk\u0142adni, aby posortowa\u0107 wiersze ramki DataFrame na podstawie ci\u0105g\u00f3w znak\u00f3w w kolumnie <strong>produktu<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#sort rows from A to Z based on string in 'product' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">product<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   product sales\n0 Apples 18\n2 Bananas 19\n4 Beans 29\n3 Lettuce 14\n1 Oranges 22<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy zauwa\u017cy\u0107, \u017ce wiersze s\u0105 teraz posortowane od A do Z na podstawie ci\u0105g\u00f3w w kolumnie <strong>Produkt<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Je\u015bli zamiast tego chcesz sortowa\u0107 od Z do A, po prostu dodaj argument <strong>rosn\u0105co=False<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#sort rows from Z to A based on string in 'product' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">product<\/span> ', ascending= <span style=\"color: #008000;\">False<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   product sales\n1 Oranges 22\n3 Lettuce 14\n4 Beans 29\n2 Bananas 19\n0 Apples 18\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy zauwa\u017cy\u0107, \u017ce wiersze s\u0105 teraz sortowane od Z do A na podstawie ci\u0105g\u00f3w w kolumnie <strong>Produkt<\/strong> .<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Przyk\u0142ad 2: Sortowanie wed\u0142ug kolumny ci\u0105gu (gdy kolumna zawiera znaki <em>i<\/em> cyfry)<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 pand\u0119 DataFrame zawieraj\u0105c\u0105 informacje o sprzeda\u017cy r\u00f3\u017cnych produkt\u00f3w w sklepie spo\u017cywczym:<\/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;\">product<\/span> ': ['A3', 'A5', 'A22', 'A50', 'A2', 'A7', 'A9', 'A13'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  product sales\n0 A3 18\n1 A5 22\n2 A22 19\n3 A50 14\n4 A2 14\n5 A7 11\n6 A9 20\n7 A13 28\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Nale\u017cy pami\u0119ta\u0107, \u017ce ci\u0105gi w kolumnie <strong>produktu<\/strong> zawieraj\u0105 zar\u00f3wno znaki, jak i cyfry.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Je\u015bli spr\u00f3bujemy posortowa\u0107 wiersze DataFrame za pomoc\u0105 warto\u015bci w kolumnie <strong>produktu<\/strong> , ci\u0105gi znak\u00f3w nie zostan\u0105 posortowane we w\u0142a\u015bciwej kolejno\u015bci na podstawie liczb:<\/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;\">#sort rows based on strings in 'product' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">product<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  product sales\n7 A13 28\n4 A2 14\n2 A22 19\n0 A3 18\n1 A5 22\n3 A50 14\n5 A7 11\n6 A9 20\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Zamiast tego musimy utworzy\u0107 now\u0105 tymczasow\u0105 kolumn\u0119 o nazwie <strong>sort<\/strong> , kt\u00f3ra b\u0119dzie zawiera\u0142a tylko liczby z kolumny produktu, nast\u0119pnie posortowa\u0107 wed\u0142ug warto\u015bci w kolumnie <strong>sortowania<\/strong> , a nast\u0119pnie ca\u0142kowicie usun\u0105\u0107 kolumn\u0119:<\/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;\">#create new 'sort' column that contains digits from 'product' column\n<\/span>df[' <span style=\"color: #ff0000;\">sort<\/span> '] = df[' <span style=\"color: #ff0000;\">product<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">extract<\/span> (' <span style=\"color: #ff0000;\">(\\d+)<\/span> ', expand= <span style=\"color: #008000;\">False<\/span> ). <span style=\"color: #3366ff;\">astype<\/span> (int)\n\n<span style=\"color: #008080;\">#sort rows based on digits in 'sort' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">sort<\/span> ')\n\n<span style=\"color: #008080;\">#drop 'sort' column\n<\/span>df = df. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">sort<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  product sales\n4 A2 14\n0 A3 18\n1 A5 22\n5 A7 11\n6 A9 20\n7 A13 28\n2 A22 19\n3 A50 14<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Zauwa\u017c, \u017ce wiersze w kolumnie <strong>produktu<\/strong> s\u0105 teraz posortowane wed\u0142ug ci\u0105g\u00f3w, a liczby s\u0105 posortowane we w\u0142a\u015bciwej kolejno\u015bci.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Uwaga<\/strong> : pe\u0142n\u0105 dokumentacj\u0119 funkcji <strong>sort_values()<\/strong> pandy mo\u017cna znale\u017a\u0107 <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.sort_values.html\" target=\"_blank\" rel=\"noopener\">tutaj<\/a> .<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Dodatkowe zasoby<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe zadania w pandach:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pl\/pandy-sortuja-wed\u0142ug-daty\/\" target=\"_blank\" rel=\"noopener\">Pandy: jak sortowa\u0107 wed\u0142ug daty<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-sortuja-kolumny-wed\u0142ug-nazwy\/\" target=\"_blank\" rel=\"noopener\">Pandy: jak sortowa\u0107 kolumny wed\u0142ug nazwy<\/a><br \/> <a href=\"https:\/\/statorials.org\/pl\/pandy-sortuja-wed\u0142ug-indeksu-i-kolumny\/\" target=\"_blank\" rel=\"noopener\">Pandy: jak sortowa\u0107 wed\u0142ug indeksu i kolumny<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cych metod, aby posortowa\u0107 wiersze ramki DataFrame pandy na podstawie warto\u015bci okre\u015blonej kolumny ci\u0105gu: Metoda 1: Sortuj wed\u0142ug kolumny ci\u0105gu (gdy kolumna zawiera tylko znaki) df = df. sort_values (&#8217; my_string_column &#8217;) Metoda 2: Sortuj wed\u0142ug kolumny ci\u0105gu (je\u015bli kolumna zawiera znaki i cyfry) #create 'sort&#8217; column that contains digits from 'my_string_column&#8217; df[&#8217; [&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-4107","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 sortowa\u0107 DataFrame na podstawie kolumny string \u2013 Statologia<\/title>\n<meta name=\"description\" content=\"W tym poradniku wyja\u015bniono na przyk\u0142adzie, jak sortowa\u0107 wiersze ramki DataFrame pandy na podstawie warto\u015bci kolumny string.\" \/>\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-posortowane-wedlug-lancucha\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandy: Jak sortowa\u0107 DataFrame na podstawie kolumny string \u2013 Statologia\" \/>\n<meta property=\"og:description\" content=\"W tym poradniku wyja\u015bniono na przyk\u0142adzie, jak sortowa\u0107 wiersze ramki DataFrame pandy na podstawie warto\u015bci kolumny string.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T13:24:27+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=\"3 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/\",\"url\":\"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/\",\"name\":\"Pandy: Jak sortowa\u0107 DataFrame na podstawie kolumny string \u2013 Statologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-13T13:24:27+00:00\",\"dateModified\":\"2023-07-13T13:24:27+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym poradniku wyja\u015bniono na przyk\u0142adzie, jak sortowa\u0107 wiersze ramki DataFrame pandy na podstawie warto\u015bci kolumny string.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/pandy-posortowane-wedlug-lancucha\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandy: jak sortowa\u0107 dataframe na podstawie kolumny ci\u0105g\u00f3w\"}]},{\"@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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