{"id":4299,"date":"2023-07-12T03:55:48","date_gmt":"2023-07-12T03:55:48","guid":{"rendered":"https:\/\/statorials.org\/ja\/numpy-count-%e5%80%a4%e3%81%8b%e3%82%99%e6%ac%a1%e3%82%88%e3%82%8a%e5%a4%a7%e3%81%8d%e3%81%84\/"},"modified":"2023-07-12T03:55:48","modified_gmt":"2023-07-12T03:55:48","slug":"numpy-count-%e5%80%a4%e3%81%8b%e3%82%99%e6%ac%a1%e3%82%88%e3%82%8a%e5%a4%a7%e3%81%8d%e3%81%84","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/numpy-count-%e5%80%a4%e3%81%8b%e3%82%99%e6%ac%a1%e3%82%88%e3%82%8a%e5%a4%a7%e3%81%8d%e3%81%84\/","title":{"rendered":"Numpy: \u5024\u3088\u308a\u5927\u304d\u3044\u8981\u7d20\u306e\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3057\u307e\u3059\u3002"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u914d\u5217\u5185\u306e\u7279\u5b9a\u306e\u5024\u3088\u308a\u5927\u304d\u3044\u8981\u7d20\u306e\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\nvals_greater_10 = (data <span style=\"color: #800080;\">&gt;<\/span> <span style=\"color: #008000;\">10<\/span> ). <span style=\"color: #3366ff;\">sum<\/span> ()\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u7279\u5b9a\u306e\u4f8b\u3067\u306f\u3001 <strong>data<\/strong>\u3068\u547c\u3070\u308c\u308b NumPy \u914d\u5217\u5185\u306e 10 \u3088\u308a\u5927\u304d\u3044\u8981\u7d20\u306e\u6570\u3092\u8fd4\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: NumPy \u914d\u5217\u5185\u306e\u5024\u3088\u308a\u5927\u304d\u3044\u8981\u7d20\u306e\u6570\u3092\u6570\u3048\u307e\u3059\u3002<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5408\u8a08 15 \u500b\u306e\u8981\u7d20\u3092\u6301\u3064\u6b21\u306e 2D NumPy \u914d\u5217\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create 2D NumPy array with 3 columns and 5 rows\n<\/span>data = np. <span style=\"color: #3366ff;\">matrix<\/span> (np. <span style=\"color: #3366ff;\">arange<\/span> (15). <span style=\"color: #3366ff;\">reshape<\/span> ((5, 3)))\n\n<span style=\"color: #008080;\">#view NumPy array\n<\/span><span style=\"color: #008000;\">print<\/span> (data)\n\n[[ 0 1 2]\n [3 4 5]\n [6 7 8]\n [9 10 11]\n [12 13 14]]\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u300110 \u3088\u308a\u5927\u304d\u3044\u5024\u3092\u6301\u3064\u914d\u5217\u5185\u306e\u8981\u7d20\u306e\u5408\u8a08\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#count number of values greater than 10 in NumPy matrix\n<\/span>vals_greater_10 = (data <span style=\"color: #800080;\">&gt;<\/span> <span style=\"color: #008000;\">10<\/span> ). <span style=\"color: #3366ff;\">sum<\/span> ()\n\n<span style=\"color: #008080;\">#view results\n<\/span><span style=\"color: #008000;\">print<\/span> (vals_greater_10)\n\n4<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u3001NumPy \u914d\u5217\u5185\u306e<strong>4 \u3064\u306e<\/strong>\u5024\u304c 10 \u3088\u308a\u5927\u304d\u3044\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">NumPy \u914d\u5217\u3092\u624b\u52d5\u3067\u8abf\u3079\u308b\u3068\u30014 \u3064\u306e\u8981\u7d20 (11\u300112\u300113\u300114) \u304c\u5b9f\u969b\u306b 10 \u3088\u308a\u5927\u304d\u3044\u3053\u3068\u304c\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">10 \u672a\u6e80\u306e\u8981\u7d20\u306e\u6570\u3092\u898b\u3064\u3051\u308b\u306b\u306f\u3001\u672a\u6e80\u6f14\u7b97\u5b50 ( <strong>&lt;<\/strong> ) \u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#count number of values less than 10 in NumPy matrix\n<\/span>vals_less_10 = (data <span style=\"color: #800080;\">&lt;<\/span> <span style=\"color: #008000;\">10<\/span> ). <span style=\"color: #3366ff;\">sum<\/span> ()\n\n<span style=\"color: #008080;\">#view results\n<\/span><span style=\"color: #008000;\">print<\/span> (vals_less_10)\n\n10<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u3001NumPy\u914d\u5217\u5185\u306e<b>10\u500b<\/b>\u306e\u5024\u304c10\u672a\u6e80\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u30ca\u30f3\u30d2\u309a\u30fc\u30ab\u30a6\u30f3\u30c8\u30ca\u30f3\/\" target=\"_blank\" rel=\"noopener\">NumPy\u3067NaN\u306b\u7b49\u3057\u3044\u8981\u7d20\u306e\u6570\u3092\u6570\u3048\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/numpy-\u30ab\u30a6\u30f3\u30c8\u30bb\u3099\u30ed\/\" target=\"_blank\" rel=\"noopener\">NumPy\u3067\u30bc\u30ed\u306b\u7b49\u3057\u3044\u8981\u7d20\u306e\u6570\u3092\u6570\u3048\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/numpy-\u30ab\u30a6\u30f3\u30c8\u306f-true\/\" target=\"_blank\" rel=\"noopener\">NumPy\u3067True\u306b\u7b49\u3057\u3044\u8981\u7d20\u306e\u6570\u3092\u6570\u3048\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u914d\u5217\u5185\u306e\u7279\u5b9a\u306e\u5024\u3088\u308a\u5927\u304d\u3044\u8981\u7d20\u306e\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3067\u304d\u307e\u3059\u3002 import numpy as np vals_greater_10 = (data &gt; 10 ). sum () \u3053\u306e\u7279 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-4299","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NumPy: 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