{"id":3240,"date":"2023-07-18T12:10:45","date_gmt":"2023-07-18T12:10:45","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%86%e3%82%99%e3%82%b7%e3%82%99%e3%82%bf%e3%83%ab%e8%bb%b8\/"},"modified":"2023-07-18T12:10:45","modified_gmt":"2023-07-18T12:10:45","slug":"%e3%83%86%e3%82%99%e3%82%b7%e3%82%99%e3%82%bf%e3%83%ab%e8%bb%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%86%e3%82%99%e3%82%b7%e3%82%99%e3%82%bf%e3%83%ab%e8%bb%b8\/","title":{"rendered":"Numpy \u8ef8\u306e\u7c21\u5358\u306a\u8aac\u660e (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/numpy.org\/\" target=\"_blank\" rel=\"noopener\">NumPy<\/a>\u306e\u591a\u304f\u306e\u95a2\u6570\u3067\u306f\u3001\u7279\u5b9a\u306e\u8a08\u7b97\u3092\u9069\u7528\u3059\u308b\u8ef8\u3092\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e00\u822c\u306b\u3001\u6b21\u306e\u7d4c\u9a13\u5247\u304c\u9069\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>axis=0<\/strong> : \u300c\u5217\u3054\u3068\u300d\u306e\u8a08\u7b97\u3092\u9069\u7528\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>axis=1<\/strong> : \u300c\u884c\u3054\u3068\u300d\u306e\u8a08\u7b97\u3092\u9069\u7528\u3057\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u56f3\u306f\u30012 \u884c 4 \u5217\u306e NumPy \u884c\u5217\u306e\u8ef8\u3092\u8996\u899a\u7684\u306b\u8868\u73fe\u3057\u305f\u3082\u306e\u3067\u3059\u3002<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-27486\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/numpyaxis1.jpg\" alt=\"NumPy \u8ef8\" width=\"541\" height=\"224\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u6b21\u306e NumPy \u884c\u5217\u3092\u4f7f\u7528\u3057\u305f\u3055\u307e\u3056\u307e\u306a\u30b7\u30ca\u30ea\u30aa\u3067<strong>axis<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\"><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 NumPy matrix\n<\/span>my_matrix = np. <span style=\"color: #3366ff;\">matrix<\/span> ([[1, 4, 7, 8], [5, 10, 12, 14]])\n\n<span style=\"color: #008080;\">#view NumPy matrix\n<\/span>my_matrix\n\nmatrix([[ 1, 4, 7, 8],\n        [5, 10, 12, 14]])\n<\/span><\/span><\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 1: \u3055\u307e\u3056\u307e\u306a\u8ef8\u306b\u6cbf\u3063\u305f\u5e73\u5747\u3092\u6c42\u3081\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\"><strong>axis=0<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u884c\u5217\u306e\u5404\u5217\u306e\u5e73\u5747\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\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;\">#find mean of each column in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">mean<\/span> (my_matrix, axis= <span style=\"color: #008000;\">0<\/span> )\n\nmatrix([[ 3. , 7. , 9.5, 11. ]])\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306b\u306f\u3001\u884c\u5217\u306e\u5404\u5217\u306e\u5e73\u5747\u5024\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u3048\u3070\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6700\u521d\u306e\u5217\u306e\u5e73\u5747\u5024\u306f (1 + 5) \/ 2 = <strong>3<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">2 \u756a\u76ee\u306e\u5217\u306e\u5e73\u5747\u5024\u306f (4 + 10) \/ 2 = <strong>7<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u3005\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>axis=1<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u884c\u5217\u306e\u5404\u884c\u306e\u5e73\u5747\u3092\u6c42\u3081\u308b\u3053\u3068\u3082\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;\">#find mean of each row in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">mean<\/span> (my_matrix, axis= <span style=\"color: #008000;\">1<\/span> )\n\nmatrix([[ 5. ],\n        [10.25]])<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306b\u306f\u3001\u884c\u5217\u306e\u5404\u884c\u306e\u5e73\u5747\u5024\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u3048\u3070\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6700\u521d\u306e\u884c\u306e\u5e73\u5747\u5024\u306f (1+4+7+8) \/ 4 = <strong>5<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">2 \u884c\u76ee\u306e\u5e73\u5747\u5024\u306f (5+10+12+14) \/ 4 = <strong>10.25<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b 2: \u7570\u306a\u308b\u8ef8\u306b\u6cbf\u3063\u305f\u5408\u8a08\u3092\u6c42\u3081\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\"><strong>axis=0<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u884c\u5217\u306e\u5404\u5217\u306e\u5408\u8a08\u3092\u6c42\u3081\u308b\u3053\u3068\u304c\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;\">#find sum of each column in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">sum<\/span> (my_matrix, axis= <span style=\"color: #008000;\">0<\/span> )\n\nmatrix([[ 6, 14, 19, 22]])\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306b\u306f\u3001\u884c\u5217\u306e\u5404\u5217\u306e\u5408\u8a08\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u3048\u3070\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6700\u521d\u306e\u5217\u306e\u5408\u8a08\u306f 1 + 5 = <strong>6<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">2 \u756a\u76ee\u306e\u5217\u306e\u5408\u8a08\u306f 4 + 10 = <strong>14<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u3005\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>axis=1<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u884c\u5217\u306e\u5404\u884c\u306e\u5408\u8a08\u3092\u6c42\u3081\u308b\u3053\u3068\u3082\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;\">#find sum of each row in matrix\n<\/span>n.p. <span style=\"color: #3366ff;\">sum<\/span> (my_matrix, axis= <span style=\"color: #008000;\">1<\/span> )\n\nmatrix([[20],\n        [41]])<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306b\u306f\u3001\u884c\u5217\u306e\u5404\u884c\u306e\u5408\u8a08\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u3048\u3070\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6700\u521d\u306e\u884c\u306e\u5408\u8a08\u306f 1+4+7+8 = <strong>20<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">2 \u884c\u76ee\u306e\u5408\u8a08\u306f 5+10+12+14 = <strong>41<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\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\u3001NumPy \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\/numpy-\u30e9\u30f3\u30bf\u3099\u30e0\u884c\u5217\/\" target=\"_blank\" rel=\"noopener\">\u4e71\u6570\u3092\u4f7f\u7528\u3057\u3066 NumPy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/numpy-\u6b63\u898f\u5316\u884c\u5217\/\" target=\"_blank\" rel=\"noopener\">NumPy\u884c\u5217\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/numpy-\u884c\u5217\u306b\u884c\u3092\u8ffd\u52a0\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">NumPy\u3067\u884c\u5217\u306b\u884c\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NumPy\u306e\u591a\u304f\u306e\u95a2\u6570\u3067\u306f\u3001\u7279\u5b9a\u306e\u8a08\u7b97\u3092\u9069\u7528\u3059\u308b\u8ef8\u3092\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u4e00\u822c\u306b\u3001\u6b21\u306e\u7d4c\u9a13\u5247\u304c\u9069\u7528\u3055\u308c\u307e\u3059\u3002 axis=0 : \u300c\u5217\u3054\u3068\u300d\u306e\u8a08\u7b97\u3092\u9069\u7528\u3057\u307e\u3059\u3002 axis=1 : \u300c\u884c\u3054\u3068\u300d\u306e\u8a08\u7b97\u3092\u9069\u7528\u3057\u307e\u3059\u3002 \u6b21\u306e\u56f3 [&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-3240","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 \u8ef8\u306e\u7c21\u5358\u306a\u8aac\u660e (\u4f8b\u4ed8\u304d) - Statorials<\/title>\n<meta name=\"description\" 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