{"id":3200,"date":"2023-07-18T17:03:26","date_gmt":"2023-07-18T17:03:26","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%81%8d%e3%82%99%e3%81%93%e3%81%a1%e3%81%aa%e3%81%84%e5%b9%b3%e5%9d%87%e3%81%a8%e5%b9%b3%e5%9d%87\/"},"modified":"2023-07-18T17:03:26","modified_gmt":"2023-07-18T17:03:26","slug":"%e3%81%8d%e3%82%99%e3%81%93%e3%81%a1%e3%81%aa%e3%81%84%e5%b9%b3%e5%9d%87%e3%81%a8%e5%b9%b3%e5%9d%87","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%81%8d%e3%82%99%e3%81%93%e3%81%a1%e3%81%aa%e3%81%84%e5%b9%b3%e5%9d%87%e3%81%a8%e5%b9%b3%e5%9d%87\/","title":{"rendered":"Numpy mean() \u3068 average() \u306e\u9055\u3044\u306f\u4f55\u3067\u3059\u304b?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>np.mean()<\/strong>\u95a2\u6570\u307e\u305f\u306f<strong>np.average()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001Python \u3067\u914d\u5217\u306e\u5e73\u5747\u5024\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u95a2\u6570\u306e\u5fae\u5999\u306a\u9055\u3044\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>np.mean \u306f<\/b>\u5e38\u306b\u7b97\u8853\u5e73\u5747\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>np.average \u306b\u306f\u3001<\/b>\u52a0\u91cd\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u30aa\u30d7\u30b7\u30e7\u30f3\u306e<strong>\u91cd\u307f<\/strong>\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u306e\u4f8b\u306f\u3001\u5404\u6a5f\u80fd\u306e\u5b9f\u969b\u306e\u4f7f\u7528\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: \u91cd\u307f\u3092\u4ed8\u3051\u305a\u306b np.mean() \u3068 np.average() \u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">Python \u306b 7 \u3064\u306e\u5024\u3092\u542b\u3080\u6b21\u306e\u30c6\u30fc\u30d6\u30eb\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: #008080;\">#create array of values\n<\/span>data = [1, 4, 5, 7, 8, 8, 10]\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><b>np.mean()<\/b>\u3068<strong>np.average()<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u914d\u5217\u306e\u5e73\u5747\u5024\u3092\u8a08\u7b97\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: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<\/span>#calculate average value of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">mean<\/span> (data)\n\n6.142857142857143<\/span>\n\n#calculate average value of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">average<\/span> (data)<\/span>\n\n<span style=\"color: #000000;\">6.142857142857143<\/span>\n<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3069\u3061\u3089\u306e\u95a2\u6570\u3082\u307e\u3063\u305f\u304f\u540c\u3058\u5024\u3092\u8fd4\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3069\u3061\u3089\u306e\u95a2\u6570\u3082\u6b21\u306e\u5f0f\u3092\u4f7f\u7528\u3057\u3066\u5e73\u5747\u3092\u8a08\u7b97\u3057\u307e\u3057\u305f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e73\u5747 = (1 + 4 + 5 + 7 + 8 + 8 + 10) \/ 7 = <strong>6.142857<\/strong> \u2026<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u91cd\u307f\u3092\u6307\u5b9a\u3057\u3066 np.average() \u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u3082\u3046\u4e00\u5ea6\u3001Python \u306b 7 \u3064\u306e\u5024\u3092\u542b\u3080\u6b21\u306e\u914d\u5217\u304c\u3042\u308b\u3068\u4eee\u5b9a\u3057\u3066\u307f\u307e\u3057\u3087\u3046\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;\">#create array of values\n<\/span>data = [1, 4, 5, 7, 8, 8, 10]\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>np.average()<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001<strong>\u91cd\u307f<\/strong>\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u5024\u306e\u30ea\u30b9\u30c8\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u3053\u306e\u914d\u5217\u306e\u52a0\u91cd\u5e73\u5747\u3092\u8a08\u7b97\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: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<\/span>#calculate weighted average of array\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">average<\/span> (data, weights=(.1, .2, .4, .05, .05, .1, .1))<\/span>\n\n<span style=\"color: #000000;\">5.45\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u52a0\u91cd\u5e73\u5747\u306f<strong>5.45<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u5024\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b<strong>np.average()<\/strong>\u3067\u4f7f\u7528\u3055\u308c\u308b\u5f0f\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u52a0\u91cd\u5e73\u5747 = 1*.1 + 4*.2 + 5*.4 + 7*.05 + 8*.05 + 8*.1 + 10*.1 = <strong>5.45<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u95a2\u6570\u306b\u306f<strong>\u91cd\u307f<\/strong>\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\u306a\u3044\u305f\u3081\u3001 <strong>np.mean()<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3053\u306e\u8a08\u7b97\u3092\u5b9f\u884c\u3067\u304d\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.mean.html\" target=\"_blank\" rel=\"noopener\">np.mean()<\/a>\u95a2\u6570\u3068<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.average.html#\" target=\"_blank\" rel=\"noopener\">np.average()<\/a>\u95a2\u6570\u306e\u5b8c\u5168\u306a\u8aac\u660e\u306b\u3064\u3044\u3066\u306f\u3001NumPy \u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u5e73\u5747\u5024\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u79fb\u52d5\u5e73\u5747python\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u79fb\u52d5\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/python\u306e\u7d2f\u7a4d\u5e73\u5747\/\" target=\"_blank\" rel=\"noopener\">Python \u3067\u7d2f\u7a4d\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>np.mean()\u95a2\u6570\u307e\u305f\u306fnp.average()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001Python \u3067\u914d\u5217\u306e\u5e73\u5747\u5024\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002 2 \u3064\u306e\u95a2\u6570\u306e\u5fae\u5999\u306a\u9055\u3044\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002 np.mean \u306f\u5e38\u306b\u7b97\u8853\u5e73\u5747\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002 np.avera [&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-3200","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 Mean() \u3068 Average() \u306e\u9055\u3044\u306f\u4f55\u3067\u3059\u304b? - \u8a18\u4e8b<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy Mean() \u95a2\u6570\u3068 Average() \u95a2\u6570\u306e\u9055\u3044\u3092\u4f8b\u3092\u542b\u3081\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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