Bu arg\u00fcman\u0131 kullanman\u0131n iki yayg\u0131n yolu vard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1: S\u00fctun adlar\u0131yla usecol’lar\u0131 kullanma<\/strong><\/span><\/p>\n Y\u00f6ntem 2: S\u00fctun konumlar\u0131yla usecol’lar\u0131 kullanma<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, basketbol_data.csv<\/strong> adl\u0131 CSV dosyas\u0131yla her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n CSV dosyas\u0131n\u0131 i\u00e7e aktarmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz ve yaln\u0131zca “team” ve “rebounds” adl\u0131 s\u00fctunlar\u0131 kullanabiliriz:<\/span><\/p>\n Usecols<\/strong> arg\u00fcman\u0131nda belirtti\u011fimiz s\u00fctun adlar\u0131 oldu\u011fundan yaln\u0131zca tak\u0131m ve ribaund s\u00fctunlar\u0131n\u0131n i\u00e7e aktar\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span> <\/b><\/p>\n CSV dosyas\u0131n\u0131 i\u00e7e aktarmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz ve yaln\u0131zca 0 ve 2 dizin konumlar\u0131ndaki s\u00fctunlar\u0131 kullanabiliriz:<\/span><\/p>\n Usecols<\/strong> arg\u00fcman\u0131nda belirtti\u011fimiz de\u011ferler olan 0 ve 2 dizin konumlar\u0131ndaki s\u00fctunlar oldu\u011fundan yaln\u0131zca tak\u0131m ve ribaund s\u00fctunlar\u0131n\u0131n i\u00e7e aktar\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Not<\/strong> : CSV dosyas\u0131n\u0131n ilk s\u00fctununun dizin konumu 0’d\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar: CSV dosyas\u0131n\u0131 okurken sat\u0131rlar nas\u0131l atlan\u0131r<\/a> CSV dosyas\u0131ndaki belirli s\u00fctunlar\u0131 pandas DataFrame’e okumak i\u00e7in read_csv() i\u015flevindeki usecols ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz. Bu arg\u00fcman\u0131 kullanman\u0131n iki yayg\u0131n yolu vard\u0131r: Y\u00f6ntem 1: S\u00fctun adlar\u0131yla usecol’lar\u0131 kullanma df = pd. read_csv (‘ my_data.csv ‘, usecols=[‘ this_column ‘, ‘ that_column ‘]) Y\u00f6ntem 2: S\u00fctun konumlar\u0131yla usecol’lar\u0131 kullanma df = pd. read_csv ( ‘ my_data.csv ‘, usecols=[ […]<\/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-4077","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df = pd. read_csv<\/span> (' my_data.csv<\/span> ', usecols=[' this_column<\/span> ', ' that_column<\/span> '])\n<\/strong><\/pre>\n df = pd. read_csv<\/span> ( '<\/span> my_data.csv<\/span> ', usecols=[ 0,2<\/span> ])\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sauter1-1.jpg\")
<\/p>\n \u00d6rnek 1: S\u00fctun adlar\u0131yla usecol’lar\u0131n kullan\u0131lmas\u0131<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#import DataFrame and only use 'team' and 'rebounds' columns\n<\/span>df = pd. read_csv<\/span> (' basketball_data.csv<\/span> ', usecols=[' team<\/span> ',' rebounds<\/span> '])\n<\/strong>\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team rebounds\n0 to 10\n1 B 9\n2 C 6\n3 D 2\n<\/b><\/pre>\n\u00d6rnek 2: S\u00fctun konumlar\u0131nda usecol’lar\u0131n kullan\u0131lmas\u0131<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#import DataFrame and only use columns in index positions 0 and 2\n<\/span>df = pd. read_csv<\/span> (' basketball_data.csv<\/span> ' ,<\/span> usecols=[ 0,2<\/span> ])\n<\/strong>\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team rebounds\n0 to 10\n1 B 9\n2 C 6\n3 D 2\n<\/b><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: Excel dosyalar\u0131 nas\u0131l okunur<\/a>
Pandalar: DataFrame’i Excel’e aktarma<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"