<\/p>\n
Pandas DataFrame’de s\u00fctunlar\u0131 ada g\u00f6re se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Ada g\u00f6re bir s\u00fctun se\u00e7in<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Ada g\u00f6re birden \u00e7ok s\u00fctun se\u00e7in<\/strong><\/span><\/p>\n Y\u00f6ntem 3: Aral\u0131ktaki S\u00fctunlar\u0131 Ada G\u00f6re Se\u00e7me<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, DataFrame’de “spurs” s\u00fctununun nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n Yaln\u0131zca “spurs” s\u00fctunundaki de\u011ferler d\u00f6nd\u00fcr\u00fcl\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, DataFrame’de cavs, spurs ve net s\u00fctunlar\u0131n\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n Yaln\u0131zca bo\u015fluklar\u0131n, mahmuzlar\u0131n ve net s\u00fctunlar\u0131n de\u011ferleri d\u00f6nd\u00fcr\u00fcl\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, DataFrame’de “hornets” ve “net” adlar\u0131 aras\u0131ndaki t\u00fcm s\u00fctunlar\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n “Hornets” ve “net” adlar\u0131 aras\u0131ndaki t\u00fcm s\u00fctunlar d\u00f6nd\u00fcr\u00fcl\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar: DataFrame’in \u00f6n\u00fcndeki bir s\u00fctun nas\u0131l ta\u015f\u0131n\u0131r?<\/a> Pandas DataFrame’de s\u00fctunlar\u0131 ada g\u00f6re se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Ada g\u00f6re bir s\u00fctun se\u00e7in df. loc [:, ‘ column1 ‘] Y\u00f6ntem 2: Ada g\u00f6re birden \u00e7ok s\u00fctun se\u00e7in df. loc [:,[‘ column1 ‘,’ column3 ‘,’ column4 ‘]] Y\u00f6ntem 3: Aral\u0131ktaki S\u00fctunlar\u0131 Ada G\u00f6re Se\u00e7me df. loc [:, ‘ column2 ‘:’ column4 ‘] […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3435","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df. loc<\/span> [:, ' column1<\/span> ']\n<\/strong><\/pre>\n df. loc<\/span> [:,[' column1<\/span> ',' column3<\/span> ',' column4<\/span> ']]<\/strong><\/pre>\n df. loc<\/span> [:, ' column2<\/span> ':' column4<\/span> ']<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' mavs<\/span> ': [10, 12, 14, 15, 19, 22, 27],\n ' cavs<\/span> ': [18, 22, 19, 14, 14, 11, 20],\n ' hornets<\/span> ': [5, 7, 7, 9, 12, 9, 14],\n ' spurs<\/span> ': [10, 12, 14, 13, 13, 19, 22],\n ' net<\/span> ': [10, 14, 25, 22, 25, 17, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n mavs cavs hornets spurs nets\n0 10 18 5 10 10\n1 12 22 7 12 14\n2 14 19 7 14 25\n3 15 14 9 13 22\n4 19 14 12 13 25\n5 22 11 9 19 17\n6 27 20 14 22 12\n<\/strong><\/span><\/pre>\n \u00d6rnek 1: Ada g\u00f6re bir s\u00fctun se\u00e7in<\/strong><\/span><\/h2>\n
#select column with name 'spurs'\n<\/span>df. loc<\/span> [:, ' spurs<\/span> ']\n\n0 10\n1 12\n2 14\n3 13\n4 13\n5 19\n6 22\nName: spurs, dtype: int64<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: ada g\u00f6re birden \u00e7ok s\u00fctun se\u00e7in<\/strong><\/span><\/h2>\n
#select columns with names cavs, spurs, and nets\n<\/span>df. loc<\/span> [:, [' cavs<\/span> ', ' spurs<\/span> ', ' nets<\/span> ']]\n\n cavs spurs nets\n0 18 10 10\n1 22 12 14\n2 19 14 25\n3 14 13 22\n4 14 13 25\n5 11 19 17\n6 20 22 12<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 3: Bir aral\u0131ktaki s\u00fctunlar\u0131 ada g\u00f6re se\u00e7me<\/strong><\/span><\/h2>\n
#select all columns between hornets and nets\n<\/span>df. loc<\/span> [:, ' hornets<\/span> ': ' nets<\/span> ']\n\n hornets spurs nets\n0 5 10 10\n1 7 12 14\n2 7 14 25\n3 9 13 22\n4 12 13 25\n5 9 19 17\n6 14 22 12<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: s\u00fctunun bir dize i\u00e7erip i\u00e7ermedi\u011fi nas\u0131l kontrol edilir<\/a>
Pandalar: DataFrame’e bo\u015f bir s\u00fctun nas\u0131l eklenir (3 \u00f6rnek)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"