<\/p>\n
Pandalarda bir dizeden say\u0131lar\u0131 \u00e7\u0131karmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel s\u00f6zdizimi, her dizedeki say\u0131lar\u0131 pandas DataFrame’de my_column<\/strong> adl\u0131 bir s\u00fctuna \u00e7\u0131karacakt\u0131r.<\/span><\/p>\n Not<\/strong> : Normal bir ifade kullan\u0131ld\u0131\u011f\u0131nda, \\d<\/strong> “herhangi bir rakam\u0131” temsil eder ve +<\/strong> ise “bir veya daha fazla” anlam\u0131na gelir.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n \u00c7e\u015fitli \u00fcr\u00fcnlerin sat\u0131\u015f\u0131yla ilgili bilgileri i\u00e7eren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Her dizenin numaras\u0131n\u0131 \u00fcr\u00fcn<\/strong> s\u00fctunundan \u00e7\u0131karmak istedi\u011fimizi varsayal\u0131m.<\/span><\/p>\n Bunu yapmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Sonu\u00e7, yaln\u0131zca \u00dcr\u00fcn<\/strong> s\u00fctununun her sat\u0131r\u0131ndaki say\u0131lar\u0131 i\u00e7eren bir DataFrame’dir.<\/span><\/p>\n \u00d6rne\u011fin:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n \u0130sterseniz bu say\u0131sal de\u011ferleri DataFrame’in yeni bir s\u00fctununda da saklayabilirsiniz:<\/span><\/p>\n Product_numbers<\/strong> adl\u0131 yeni s\u00fctun, yaln\u0131zca \u00fcr\u00fcn<\/strong> s\u00fctunundaki her dizeye ili\u015fkin say\u0131lar\u0131 i\u00e7erir.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar: DataFrame’i dize s\u00fctununa g\u00f6re s\u0131ralama<\/a> Pandalarda bir dizeden say\u0131lar\u0131 \u00e7\u0131karmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df[‘ my_column ‘]. str . extract (‘ (\\d+) ‘) Bu \u00f6zel s\u00f6zdizimi, her dizedeki say\u0131lar\u0131 pandas DataFrame’de my_column adl\u0131 bir s\u00fctuna \u00e7\u0131karacakt\u0131r. Not : Normal bir ifade kullan\u0131ld\u0131\u011f\u0131nda, \\d “herhangi bir rakam\u0131” temsil eder ve + ise “bir veya daha fazla” anlam\u0131na gelir. A\u015fa\u011f\u0131daki \u00f6rnekte […]<\/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-4109","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' my_column<\/span> ']. str<\/span> . extract<\/span> (' (\\d+)<\/span> ')\n<\/strong><\/pre>\n \u00d6rnek: say\u0131y\u0131 Pandas’taki bir dizeden \u00e7\u0131kar\u0131n<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' product<\/span> ': ['A33', 'B34', 'A22', 'A50', 'C200', 'D7', 'A9', 'A13'],\n ' sales<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n product sales\n0 A33 18\n1 B34 22\n2 A22 19\n3 A50 14\n4 C200 14\n5 D7 11\n6 A9 20\n7 A13 28<\/span><\/span><\/strong><\/pre>\n #extract numbers from strings in 'product' column\n<\/span>df[' product<\/span> ']. str<\/span> . extract<\/span> (' (\\d+)<\/span> ')\n\n\t0\n0 33\n1 34\n2 22\n3 50\n4,200\n5 7\n6 9\n7 13\n<\/span><\/span><\/strong><\/pre>\n\n
#extract numbers from strings in 'product' column and store them in new column\n<\/span>df[' product_numbers<\/span> '] = df[' product<\/span> ']. str<\/span> . extract<\/span> (' (\\d+)<\/span> ')\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n product sales product_numbers\n0 A33 18 33\n1 B34 22 34\n2 A22 19 22\n3 A50 14 50\n4 C200 14,200\n5 D7 11 7\n6 A9 20 9\n7 A13 28 13\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar: Belirli karakterler dizelerden nas\u0131l kald\u0131r\u0131l\u0131r<\/a>
Pandalar: DataFrame’in t\u00fcm s\u00fctunlar\u0131nda bir dize aray\u0131n<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"