<\/p>\n
Bir NumPy dizisindeki s\u0131f\u0131r \u00f6\u011fe say\u0131s\u0131n\u0131 saymak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel \u00f6rnek, my_array<\/strong> adl\u0131 NumPy dizisindeki s\u0131f\u0131ra e\u015fit \u00f6\u011felerin say\u0131s\u0131n\u0131 d\u00f6nd\u00fcrecektir.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir NumPy dizisindeki s\u0131f\u0131ra e\u015fit \u00f6\u011fe say\u0131s\u0131n\u0131 saymak i\u00e7in count_nonzero()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n \u00c7\u0131kt\u0131dan NumPy dizisindeki 3<\/strong> de\u011ferin s\u0131f\u0131r oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n Dizide ger\u00e7ekten s\u0131f\u0131ra e\u015fit \u00fc\u00e7 \u00f6\u011fenin oldu\u011funu do\u011frulamak i\u00e7in NumPy dizisine manuel olarak bakabiliriz.<\/span><\/p>\n Bunun yerine s\u0131f\u0131r olmayan<\/em> \u00f6\u011felerin say\u0131s\u0131n\u0131 saymak istiyorsan\u0131z count_nonzero()<\/strong> i\u015flevini a\u015fa\u011f\u0131daki gibi kullanabilirsiniz:<\/span><\/p>\n \u00c7\u0131kt\u0131dan NumPy dizisindeki 9<\/strong> de\u011ferin s\u0131f\u0131ra e\u015fit olmad\u0131\u011f\u0131n\u0131 g\u00f6rebiliriz.<\/span><\/p>\n Not<\/strong> : NumPy dizinizde NaN de\u011ferleri varsa, count_nonzero()<\/strong> i\u015flevi her NaN de\u011ferini s\u0131f\u0131r olmayan bir \u00f6\u011fe olarak sayacakt\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n NumPy dizisinin modu nas\u0131l hesaplan\u0131r<\/a> Bir NumPy dizisindeki s\u0131f\u0131r \u00f6\u011fe say\u0131s\u0131n\u0131 saymak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: import numpy as np n.p. count_nonzero (my_array == 0 ) Bu \u00f6zel \u00f6rnek, my_array adl\u0131 NumPy dizisindeki s\u0131f\u0131ra e\u015fit \u00f6\u011felerin say\u0131s\u0131n\u0131 d\u00f6nd\u00fcrecektir. A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: NumPy dizisindeki s\u0131f\u0131ra e\u015fit \u00f6\u011felerin say\u0131s\u0131n\u0131 say\u0131n A\u015fa\u011f\u0131daki kod, bir NumPy dizisindeki […]<\/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-4301","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n import<\/span> numpy as<\/span> np\n\nn.p. count_nonzero<\/span> (my_array ==<\/span> 0<\/span> )\n<\/strong><\/pre>\n \u00d6rnek: NumPy dizisindeki s\u0131f\u0131ra e\u015fit \u00f6\u011felerin say\u0131s\u0131n\u0131 say\u0131n<\/strong><\/span><\/h2>\n
import<\/span> numpy as<\/span> np\n<\/span>\n#create NumPy array\nmy_array = np. array<\/span> ([2, 0, 0, 4, 5, 9, 12, 0, 4, 13, 15, 19])<\/span>\n\n#count number of values in array equal to zero\n<\/span>n.p. count_nonzero<\/span> (my_array ==<\/span> 0<\/span> )\n\n3<\/span><\/span><\/strong><\/pre>\n import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>my_array = np. array<\/span> ([2, 0, 0, 4, 5, 9, 12, 0, 4, 13, 15, 19])\n\n#count number of values in array not equal to zero\n<\/span>n.p. count_nonzero<\/span> (my_array)\n\n9<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Bir i\u015flevi NumPy dizisine nas\u0131l e\u015fleyebilirim?<\/a>
NumPy dizisini s\u00fctuna g\u00f6re s\u0131ralama<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"