{"id":3202,"date":"2023-07-18T17:03:26","date_gmt":"2023-07-18T17:03:26","guid":{"rendered":"https:\/\/statorials.org\/ko\/numpy-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%83%e1%85%a2-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab\/"},"modified":"2023-07-18T17:03:26","modified_gmt":"2023-07-18T17:03:26","slug":"numpy-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%83%e1%85%a2-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/numpy-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%83%e1%85%a2-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab\/","title":{"rendered":"Numpy mean()\uacfc average(): \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc785\ub2c8\uae4c?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>np.mean()<\/strong> \ub610\ub294 <strong>np.average()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ubc30\uc5f4\uc758 \ud3c9\uade0\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 \uae30\ub2a5\uc758 \ubbf8\ubb18\ud55c \ucc28\uc774\uc810\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>np.mean\uc740<\/b> \ud56d\uc0c1 \uc0b0\uc220 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>np.average<\/b> \uc5d0\ub294 \uac00\uc911 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc120\ud0dd\uc801 <strong>\uac00\uc911\uce58<\/strong> \ub9e4\uac1c\ubcc0\uc218\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uac01 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 1: \uac00\uc911\uce58 \uc5c6\uc774 np.mean() \ubc0f np.average() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">7\uac1c\uc758 \uac12\uc744 \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 Python \ud14c\uc774\ube14\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/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> \ubc0f <strong>np.average()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc774 \ubc30\uc5f4\uc758 \ud3c9\uade0\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/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;\">\ub450 \ud568\uc218 \ubaa8\ub450 \uc815\ud655\ud788 \ub3d9\uc77c\ud55c \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 \ud568\uc218 \ubaa8\ub450 \ub2e4\uc74c \uacf5\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud3c9\uade0\uc744 \uacc4\uc0b0\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud3c9\uade0 = (1 + 4 + 5 + 7 + 8 + 8 + 10) \/ 7 = <strong>6.142857<\/strong> \u2026<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \uac00\uc911\uce58\uc640 \ud568\uaed8 np.average() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">7\uac1c\uc758 \uac12\uc744 \ud3ec\ud568\ud558\ub294 Python\uc758 \ub2e4\uc74c \ubc30\uc5f4\uc774 \uc788\ub2e4\uace0 \ub2e4\uc2dc \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/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()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uba74 \uac00\uc911\uce58 \ub9e4\uac1c\ubcc0\uc218\uc5d0 \uac12 \ubaa9\ub85d\uc744 \uc81c\uacf5\ud558\uc5ec \uc774 \ubc30\uc5f4\uc758 <strong>\uac00\uc911<\/strong> \ud3c9\uade0\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/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;\">\uac00\uc911 \ud3c9\uade0\uc740 <strong>5.45<\/strong> \ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uac12\uc744 \uacc4\uc0b0\ud558\uae30 \uc704\ud574 <strong>np.average()<\/strong> \uc5d0\uc11c \uc0ac\uc6a9\ud558\ub294 \uacf5\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uac00\uc911 \ud3c9\uade0 = 1*.1 + 4*.2 + 5*.4 + 7*.05 + 8*.05 + 8*.1 + 10*.1 = <strong>5.45<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud568\uc218\uc5d0\ub294 <strong>\uac00\uc911\uce58<\/strong> \ub9e4\uac1c\ubcc0\uc218\uac00 \uc5c6\uae30 \ub54c\ubb38\uc5d0 <strong>np.mean()\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc774 \uacc4\uc0b0\uc744 \uc218\ud589\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/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> \ubc0f <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.average.html#\" target=\"_blank\" rel=\"noopener\">np.average()<\/a> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \uc124\uba85\uc740 NumPy \uc124\uba85\uc11c\ub97c \ucc38\uc870\ud558\uc138\uc694.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \ud3c9\uade0\uac12\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1175\u1103\u1169\u11bc-\u1111\u1167\u11bc\u1100\u1172\u11ab-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \uc774\ub3d9 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1102\u116e\u110c\u1165\u11a8-\u1111\u1167\u11bc\u1100\u1172\u11ab\/\" target=\"_blank\" rel=\"noopener\">Python\uc5d0\uc11c \ub204\uc801 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>np.mean() \ub610\ub294 np.average() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ubc30\uc5f4\uc758 \ud3c9\uade0\uac12\uc744 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \uae30\ub2a5\uc758 \ubbf8\ubb18\ud55c \ucc28\uc774\uc810\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. np.mean\uc740 \ud56d\uc0c1 \uc0b0\uc220 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4. np.average \uc5d0\ub294 \uac00\uc911 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc120\ud0dd\uc801 \uac00\uc911\uce58 \ub9e4\uac1c\ubcc0\uc218\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uac01 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: \uac00\uc911\uce58 \uc5c6\uc774 np.mean() \ubc0f np.average() \uc0ac\uc6a9 7\uac1c\uc758 \uac12\uc744 \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c\uacfc [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-3202","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NumPy Mean()\uacfc Average(): \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc785\ub2c8\uae4c? - \uace0\uc815\uc790<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec NumPy Mean()\uacfc Average() \ud568\uc218\uc758 \ucc28\uc774\uc810\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\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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