{"id":3523,"date":"2023-07-17T01:04:09","date_gmt":"2023-07-17T01:04:09","guid":{"rendered":"https:\/\/statorials.org\/pl\/pandy-otrzymuja-indeks-kolumny\/"},"modified":"2023-07-17T01:04:09","modified_gmt":"2023-07-17T01:04:09","slug":"pandy-otrzymuja-indeks-kolumny","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/pandy-otrzymuja-indeks-kolumny\/","title":{"rendered":"Pandy: jak uzyska\u0107 indeks kolumny z nazwy kolumny"},"content":{"rendered":"

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Mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cych metod, aby uzyska\u0107 warto\u015b\u0107 indeksu kolumny z nazwy kolumny w pandach:<\/span><\/p>\n

Metoda 1: Pobierz indeks kolumny dla nazwy kolumny<\/strong><\/span><\/p>\n

 df. columns<\/span> . get_loc<\/span> (' this_column<\/span> ')\n<\/strong><\/pre>\n
 Metoda 2: Uzyskaj indeks kolumny dla wielu nazw kolumn<\/strong><\/span><\/p>\n
 cols = [' this_column<\/span> ', ' that_column<\/span> ']\n\n[df. columns<\/span> . get_loc<\/span> (c) for<\/span> c in<\/span> cols if<\/span> c in<\/span> df]<\/strong><\/pre>\n
 Poni\u017csze przyk\u0142ady pokazuj\u0105, jak w praktyce u\u017cywa\u0107 ka\u017cdej metody z nast\u0119puj\u0105c\u0105 ramk\u0105 DataFrame pand:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' store<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' sales<\/span> ': [18, 10, 14, 13, 19, 24, 25, 29],\n                   ' returns<\/span> ': [1, 2, 2, 3, 2, 3, 5, 4],\n                   ' recalls<\/span> ': [0, 0, 2, 1, 1, 2, 0, 1]})\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  store sales returns recalls\n0 to 18 1 0\n1 to 10 2 0\n2 A 14 2 2\n3 A 13 3 1\n4 B 19 2 1\n5 B 24 3 2\n6 B 25 5 0\n7 B 29 4 1<\/strong><\/pre>\n
 Przyk\u0142ad 1: Pobierz indeks kolumny dla nazwy kolumny<\/strong><\/span><\/h2>\n
 Poni\u017cszy kod pokazuje, jak uzyska\u0107 warto\u015b\u0107 indeksu kolumny dla kolumny o nazwie \u201epowroty\u201d:<\/span><\/p>\n
 #get column index for column with the name 'returns'\n<\/span>df. columns<\/span> . get_loc<\/span> (' returns<\/span> ')\n\n2<\/strong><\/pre>\n
 Kolumna o nazwie \u201ereturn\u201d ma indeks kolumny o warto\u015bci 2<\/strong> .<\/span><\/span><\/p>\n
 Uwaga<\/strong> : Warto\u015bci indeks\u00f3w kolumn zaczynaj\u0105 si\u0119 od 0 w Pythonie. Poniewa\u017c \u201epowr\u00f3t\u201d jest trzeci\u0105 kolumn\u0105 ramki DataFrame, jej warto\u015b\u0107 indeksu wynosi 2.<\/span><\/p>\n
 Przyk\u0142ad 2: Pobierz indeks kolumny dla wielu nazw kolumn<\/strong><\/span><\/h2>\n
 Poni\u017cszy kod pokazuje, jak uzyska\u0107 warto\u015b\u0107 indeksu kolumny dla wielu kolumn w ramce DataFrame:<\/span><\/p>\n
 #define list of columns to get index for\n<\/span>cols = [' store<\/span> ', ' returns<\/span> ', ' recalls<\/span> ']\n\n#get column index for each column in list\n<\/span>[df. columns<\/span> . get_loc<\/span> (c) for<\/span> c in<\/span> cols if<\/span> c in<\/span> df]\n\n[0, 2, 3]\n<\/strong><\/pre>\n
 Z wyniku mo\u017cemy zobaczy\u0107:<\/span><\/p>\n