<\/p>\n
Bir pandas DataFrame’deki iki s\u00fctun aras\u0131ndaki dizeleri kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n str.strip()<\/strong> i\u015flevi her dizedeki bo\u015fluklar\u0131 kald\u0131r\u0131r ve str.lower()<\/strong> i\u015flevi, kar\u015f\u0131la\u015ft\u0131rmay\u0131 ger\u00e7ekle\u015ftirmeden \u00f6nce her dizeyi k\u00fc\u00e7\u00fck harfe d\u00f6n\u00fc\u015ft\u00fcr\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Diyelim ki basketbol tak\u0131m\u0131 adlar\u0131n\u0131 i\u00e7eren iki s\u00fctun i\u00e7eren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahibiz:<\/span><\/p>\n Baz\u0131 tak\u0131m adlar\u0131n\u0131n rastgele yerlerde bo\u015fluk i\u00e7erdi\u011fini ve baz\u0131 tak\u0131m adlar\u0131n\u0131n b\u00fcy\u00fck harfle yaz\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/span><\/p>\n Her sat\u0131rdaki tak\u0131m adlar\u0131n\u0131n e\u015fit olup olmad\u0131\u011f\u0131n\u0131 g\u00f6rmek i\u00e7in her sat\u0131rdaki dizeleri kar\u015f\u0131la\u015ft\u0131rmak istedi\u011fimizi varsayal\u0131m.<\/span><\/span><\/p>\n Dizeleri kar\u015f\u0131la\u015ft\u0131r\u0131rken yaln\u0131zca ==<\/strong> sembol\u00fcn\u00fc kullan\u0131rsak, pandalar yaln\u0131zca ayn\u0131 durumda olmalar\u0131 ve tamamen ayn\u0131 konumlarda bo\u015fluklar i\u00e7ermeleri durumunda True de\u011ferini<\/strong> d\u00f6nd\u00fcr\u00fcr:<\/span><\/p>\n Yaln\u0131zca bir sat\u0131r\u0131n True<\/strong> d\u00f6nd\u00fcrd\u00fc\u011f\u00fcn\u00fc unutmay\u0131n; \u00e7\u00fcnk\u00fc bu, dizelerin ayn\u0131 b\u00fcy\u00fck\/k\u00fc\u00e7\u00fck harf ve bo\u015fluk konumlar\u0131n\u0131 i\u00e7erdi\u011fi tek sat\u0131rd\u0131r.<\/span><\/p>\n Ancak, kar\u015f\u0131la\u015ft\u0131rmay\u0131 ger\u00e7ekle\u015ftirmeden \u00f6nce her dizedeki bo\u015fluklar\u0131 kald\u0131rmak i\u00e7in str.strip()<\/strong> i\u015flevini ve her dizeyi k\u00fc\u00e7\u00fck harfe d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in str.lower()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Art\u0131k tak\u0131m adlar\u0131n\u0131n “Hawks” ve “Jazz” oldu\u011fu sat\u0131r d\u0131\u015f\u0131nda her sat\u0131r True de\u011ferini<\/strong> d\u00f6nd\u00fcr\u00fcr, \u00e7\u00fcnk\u00fc bo\u015fluklar kald\u0131r\u0131ld\u0131ktan ve dizeler k\u00fc\u00e7\u00fck harfe d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fckten sonra bile bu dizeler e\u015fit de\u011fildir.<\/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: Belirli karakterler dizelerden nas\u0131l kald\u0131r\u0131l\u0131r<\/a> Bir pandas DataFrame’deki iki s\u00fctun aras\u0131ndaki dizeleri kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df[‘ col1 ‘]. str . strip (). str . lower () == df[‘ col2 ‘]. str . strip (). str . lower () str.strip() i\u015flevi her dizedeki bo\u015fluklar\u0131 kald\u0131r\u0131r ve str.lower() i\u015flevi, kar\u015f\u0131la\u015ft\u0131rmay\u0131 ger\u00e7ekle\u015ftirmeden \u00f6nce her dizeyi k\u00fc\u00e7\u00fck harfe d\u00f6n\u00fc\u015ft\u00fcr\u00fcr. A\u015fa\u011f\u0131daki \u00f6rnek, […]<\/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-4157","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' col1<\/span> ']. str<\/span> . strip<\/span> (). str<\/span> . lower<\/span> () ==<\/span> df[' col2<\/span> ']. str<\/span> . strip<\/span> (). str<\/span> . lower<\/span> ()\n<\/strong><\/pre>\n \u00d6rnek: Pandalarda \u0130ki S\u00fctun Aras\u0131ndaki Dizeleri Kar\u015f\u0131la\u015ft\u0131rma<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team1<\/span> ': ['Mavs', 'Hawks', 'Nets', 'Hornets', 'Lakers'],\n ' team2<\/span> ': ['Mavs', 'Jazz', 'Nets', 'Hornets', 'LAKERS']})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team1 team2\n0 Mavs Mavs \n1 Hawks Jazz\n2 Nets Nets\n3 Hornets Hornets \n4 Lakers LAKERS\n<\/strong><\/pre>\n #create new column that tests if strings in team columns are equal\n<\/span>df[' equal<\/span> '] = df[' team1<\/span> '] == df[' team2<\/span> ']\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n team1 team2 equal\n0 Mavs Mavs False\n1 Hawks Jazz False\n2 Nets Nets True\n3 Hornets Hornets False\n4 Lakers LAKERS False<\/strong><\/pre>\n #remove whitespace and convert each string to lowercase, then compare strings\n<\/span>df[' equal<\/span> '] = df[' team1<\/span> ']. str<\/span> . strip<\/span> (). str<\/span> . lower<\/span> () ==<\/span> df[' team2<\/span> ']. str<\/span> . strip<\/span> (). str<\/span> . lower<\/span> ()\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n team1 team2 equal\n0 Mavs Mavs True\n1 Hawks Jazz False\n2 Nets Nets True\n3 Hornets Hornets True\n4 Lakers LAKERS True\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: Dizenin birden fazla alt dize i\u00e7erip i\u00e7ermedi\u011fini kontrol edin<\/a>
Pandalar: Bo\u015f dizeler NaN ile nas\u0131l de\u011fi\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"