<\/p>\n
Bir 2D NumPy dizisini dilimlemek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: 2D NumPy Dizisinde Belirli Sat\u0131rlar\u0131 Se\u00e7in<\/strong><\/span><\/p>\n Y\u00f6ntem 2: 2D NumPy Tablosunda Belirli S\u00fctunlar\u0131 Se\u00e7in<\/strong><\/span><\/p>\n Y\u00f6ntem 3: NumPy 2D Tablosunda Belirli Sat\u0131rlar\u0131 ve S\u00fctunlar\u0131 Se\u00e7in<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin a\u015fa\u011f\u0131daki 2D NumPy dizisiyle pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n 2’den 5’e kadar dizin konumlar\u0131ndaki sat\u0131rlar\u0131 se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n 2:5<\/strong> s\u00f6zdiziminin NumPy’ye 2’den 5’e kadar<\/em> olan sat\u0131rlar\u0131 se\u00e7mesini s\u00f6yledi\u011fini ancak 5’i i\u00e7ermedi\u011fini unutmay\u0131n.<\/span><\/p>\n Yani bu s\u00f6zdizimi, dizin konumlar\u0131 2, 3 ve 4 olan sat\u0131rlardaki t\u00fcm de\u011ferleri se\u00e7er.<\/span><\/p>\n 1’den 3’e kadar dizin konumlar\u0131ndaki s\u00fctunlar\u0131 se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n 1:3<\/strong> s\u00f6zdiziminin NumPy’ye 1’den 3’e kadar<\/em> olan s\u00fctunlar\u0131 se\u00e7mesini s\u00f6yledi\u011fini ancak 3’\u00fc i\u00e7ermedi\u011fini unutmay\u0131n.<\/span><\/p>\n Yani bu s\u00f6zdizimi, dizin konumlar\u0131 1 ve 2 olan s\u00fctunlardaki t\u00fcm de\u011ferleri se\u00e7er.<\/span><\/p>\n 2’den 5’e kadar dizin konumlar\u0131ndaki sat\u0131rlar\u0131 ve 1’den 3’e kadar dizin konumlar\u0131ndaki s\u00fctunlar\u0131 se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n Bu s\u00f6zdizimi, 2D NumPy dizisindeki 2’den 5’e kadar sat\u0131r dizini konumlar\u0131 ve 1’den 3’e kadar s\u00fctun dizini konumlar\u0131 aras\u0131ndaki t\u00fcm de\u011ferleri d\u00f6nd\u00fcr\u00fcr.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimler NumPy’de di\u011fer genel i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n NumPy dizisinde de\u011fer endeksi nas\u0131l bulunur?<\/a> Bir 2D NumPy dizisini dilimlemek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: 2D NumPy Dizisinde Belirli Sat\u0131rlar\u0131 Se\u00e7in #select rows in index positions 2 through 5 arr[ 2 : 5 ,:] Y\u00f6ntem 2: 2D NumPy Tablosunda Belirli S\u00fctunlar\u0131 Se\u00e7in #select columns in index positions 1 through 3 arr[:, 1 : 3 ] Y\u00f6ntem 3: NumPy 2D […]<\/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-4166","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #select rows in index positions 2 through 5<\/span>\narr[ 2<\/span> : 5<\/span> ,:]\n<\/strong><\/pre>\n #select columns in index positions 1 through 3<\/strong><\/span>\narr[:, 1<\/span> : 3<\/span> ]<\/strong><\/pre>\n #select rows in range 2:5 and columns in range 1:3\n<\/span>arr[ 2<\/span> : 5,1<\/span> :3<\/span> ]<\/span><\/strong><\/pre>\n import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>arr = np. arange<\/span> ( 24<\/span> ). reshape<\/span> ( 6,4<\/span> )<\/span>\n\n#view NumPy array\n<\/span>print<\/span> (arr)\n\n[[ 0 1 2 3]\n [4 5 6 7]\n [8 9 10 11]\n [12 13 14 15]\n [16 17 18 19]\n [20 21 22 23]]\n<\/b><\/pre>\n \u00d6rnek 1: 2D NumPy dizisinin belirli sat\u0131rlar\u0131n\u0131 se\u00e7in<\/strong><\/span><\/h2>\n
#select rows in index positions 2 through 5<\/span>\narr[ 2<\/span> : 5<\/span> ,:]\n\narray([[ 8, 9, 10, 11],\n [12, 13, 14, 15],\n [16, 17, 18, 19]])\n<\/strong><\/pre>\n \u00d6rnek 2: 2D NumPy dizisinden belirli s\u00fctunlar\u0131 se\u00e7in<\/strong><\/span><\/h2>\n
#select columns in index positions 1 through 3<\/span>\narr[, 1<\/span> : 3<\/span> ]\n\narray([[ 1, 2],\n [5, 6],\n [9, 10],\n [13, 14],\n [17, 18],\n [21, 22]]))\n<\/strong><\/pre>\n \u00d6rnek 3: NumPy 2D dizisinin belirli sat\u0131rlar\u0131n\u0131 ve s\u00fctunlar\u0131n\u0131 se\u00e7in<\/strong><\/span><\/h2>\n
#select rows in 2:5 and columns in 1:3<\/span>\narr[ 2<\/span> : 5,1<\/span> :3<\/span> ]<\/span>\n\narray([[ 9, 10],\n [13, 14],\n [17, 18]])\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
NumPy dizisinden belirli bir s\u00fctun nas\u0131l al\u0131n\u0131r<\/a>
NumPy dizisine s\u00fctun nas\u0131l eklenir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"