{"id":3205,"date":"2023-07-18T17:03:26","date_gmt":"2023-07-18T17:03:26","guid":{"rendered":"https:\/\/statorials.org\/cn\/numpy-%e5%b9%b3%e5%9d%87%e5%80%bc%e4%b8%8e%e5%b9%b3%e5%9d%87%e5%80%bc\/"},"modified":"2023-07-18T17:03:26","modified_gmt":"2023-07-18T17:03:26","slug":"numpy-%e5%b9%b3%e5%9d%87%e5%80%bc%e4%b8%8e%e5%b9%b3%e5%9d%87%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/numpy-%e5%b9%b3%e5%9d%87%e5%80%bc%e4%b8%8e%e5%b9%b3%e5%9d%87%e5%80%bc\/","title":{"rendered":"Numpy mean() \u4e0e average()\uff1a\u6709\u4ec0\u4e48\u533a\u522b\uff1f"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528<strong>np.mean()<\/strong>\u6216<strong>np.average()<\/strong>\u51fd\u6570\u6765\u8ba1\u7b97 Python \u4e2d\u6570\u7ec4\u7684\u5e73\u5747\u503c\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u662f\u4e24\u4e2a\u51fd\u6570\u4e4b\u95f4\u7684\u7ec6\u5fae\u5dee\u522b\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>np.mean<\/b>\u59cb\u7ec8\u8ba1\u7b97\u7b97\u672f\u5e73\u5747\u503c\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>np.average<\/b>\u6709\u4e00\u4e2a\u53ef\u9009\u7684<strong>\u6743\u91cd<\/strong>\u53c2\u6570\uff0c\u53ef\u7528\u4e8e\u8ba1\u7b97\u52a0\u6743\u5e73\u5747\u503c\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6bcf\u4e2a\u529f\u80fd\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u4f7f\u7528\u4e0d\u5e26\u6743\u91cd\u7684 np.mean() \u548c np.average()<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u5728 Python \u4e2d\u6709\u4e0b\u8868\uff0c\u5176\u4e2d\u5305\u542b\u4e03\u4e2a\u503c\uff1a<\/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;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<b>np.mean()<\/b>\u548c<strong>np.average()<\/strong>\u6765\u8ba1\u7b97\u8be5\u6570\u7ec4\u7684\u5e73\u5747\u503c\uff1a<\/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;\">\u4e24\u4e2a\u51fd\u6570\u8fd4\u56de\u5b8c\u5168\u76f8\u540c\u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u4e24\u4e2a\u51fd\u6570\u90fd\u4f7f\u7528\u4ee5\u4e0b\u516c\u5f0f\u6765\u8ba1\u7b97\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u503c = (1 + 4 + 5 + 7 + 8 + 8 + 10) \/ 7 = <strong>6.142857<\/strong> \u2026<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u4f7f\u7528\u5e26\u6709\u6743\u91cd\u7684 np.average()<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u518d\u6b21\u5047\u8bbe Python \u4e2d\u6709\u4ee5\u4e0b\u6570\u7ec4\uff0c\u5176\u4e2d\u5305\u542b\u4e03\u4e2a\u503c\uff1a<\/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;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>np.average()<\/strong>\u901a\u8fc7\u4e3a<strong>\u6743\u91cd<\/strong>\u53c2\u6570\u63d0\u4f9b\u503c\u5217\u8868\u6765\u8ba1\u7b97\u8be5\u6570\u7ec4\u7684\u52a0\u6743\u5e73\u5747\u503c\uff1a<\/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\u6743\u5e73\u5747\u503c\u7ed3\u679c\u4e3a<strong>5.45<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f<strong>np.average()<\/strong>\u7528\u6765\u8ba1\u7b97\u8be5\u503c\u7684\u516c\u5f0f\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\">\u52a0\u6743\u5e73\u5747\u503c = 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;\">\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u65e0\u6cd5\u4f7f\u7528<strong>np.mean()<\/strong>\u6765\u6267\u884c\u6b64\u8ba1\u7b97\uff0c\u56e0\u4e3a\u8be5\u51fd\u6570\u6ca1\u6709<strong>\u6743\u91cd<\/strong>\u53c2\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6709\u5173<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.mean.html\" target=\"_blank\" rel=\"noopener\">np.mean()<\/a>\u548c<a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.average.html#\" target=\"_blank\" rel=\"noopener\">np.average()<\/a>\u51fd\u6570\u7684\u5b8c\u6574\u8bf4\u660e\uff0c\u8bf7\u53c2\u9605 NumPy \u6587\u6863\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u5176\u4ed6\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u79fb\u52a8\u5e73\u5747\u7ebf-python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7528 Python \u8ba1\u7b97\u79fb\u52a8\u5e73\u5747\u7ebf<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/python-\u7d2f\u79ef\u5e73\u5747\u503c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7528 Python \u8ba1\u7b97\u7d2f\u79ef\u5e73\u5747\u503c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528np.mean()\u6216np.average()\u51fd\u6570\u6765\u8ba1\u7b97 Python \u4e2d\u6570\u7ec4\u7684\u5e73\u5747\u503c\u3002 \u8fd9\u662f\u4e24\u4e2a\u51fd\u6570 [&hellip;]<\/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-3205","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NumPy Mean() \u4e0e Average()\uff1a\u6709\u4ec0\u4e48\u533a\u522b\uff1f - \u7edf\u8ba1<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u89e3\u91ca\u4e86 NumPy Mean() \u548c Average() \u51fd\u6570\u4e4b\u95f4\u7684\u533a\u522b\uff0c\u5305\u62ec\u793a\u4f8b\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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