{"id":1935,"date":"2023-07-24T09:32:53","date_gmt":"2023-07-24T09:32:53","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%80%e1%85%b5%e1%84%92%e1%85%a1-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-24T09:32:53","modified_gmt":"2023-07-24T09:32:53","slug":"%e1%84%80%e1%85%b5%e1%84%92%e1%85%a1-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%80%e1%85%b5%e1%84%92%e1%85%a1-%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab\/","title":{"rendered":"Python\uc5d0\uc11c \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

Python\uc5d0\uc11c \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc5d0\ub294 \ub450 \uac00\uc9c0\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: SciPy\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ud558 \ud3c9\uade0 \uacc4\uc0b0<\/strong><\/span><\/p>\n

 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([value1, value2, value3, ...])\n<\/strong><\/pre>\n
 \ubc29\ubc95 2: NumPy\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ud558 \ud3c9\uade0 \uacc4\uc0b0<\/strong><\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\n    return<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean<\/span>\ng_mean([value1, value2, value3, ...])<\/span><\/strong><\/pre>\n
 \ub450 \ubc29\ubc95 \ubaa8\ub450 \uc815\ud655\ud788 \ub3d9\uc77c\ud55c \uacb0\uacfc\ub97c \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uac01 \ubc29\ubc95\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: SciPy\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ud558 \ud3c9\uade0 \uacc4\uc0b0<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 SciPy<\/a> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 gmean()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac12 \ubc30\uc5f4\uc758 \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029\n<\/strong><\/pre>\n
 \uae30\ud558\ud3c9\uade0\uc740 4.8179<\/strong> \ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: NumPy\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ud558 \ud3c9\uade0 \uacc4\uc0b0<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 NumPy<\/a> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 \ub0b4\uc7a5 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \uc0ac\uc6a9\uc790 \uc815\uc758 \ud568\uc218\ub97c \uc791\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\nreturn<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean\n<\/span>g_mean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029<\/span>\n<\/strong><\/pre>\n
 \uae30\ud558 \ud3c9\uade0\uc740 4.8179<\/strong> \ub85c \ub098\ud0c0\ub0ac\uc73c\uba70 \uc774\ub294 \uc774\uc804 \uc608\uc758 \uacb0\uacfc\uc640 \uc77c\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 0\uc744 \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 \uc791\uc5c5 \uc911\uc778 \ubc30\uc5f4\uc5d0 0\uc774 \uc788\uc73c\uba74 \ub450 \uba54\uc11c\ub4dc \ubaa8\ub450 0\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub530\ub77c\uc11c \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\uae30 \uc804\uc5d0 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc30\uc5f4\uc5d0\uc11c 0\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #create array with some zeros\n<\/span>x = [1, 0, 0, 6, 6, 0, 8, 9]\n\n#remove zeros from array \n<\/span>x_new = [i for<\/span> i in<\/span> x if<\/span> i != 0]\n\n#view updated array\n<\/span>print<\/span> (x_new)\n\n[1, 6, 6, 8, 9]\n<\/span><\/strong><\/pre>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Python\uc5d0\uc11c \ud3c9\uade0 \uc81c\uacf1 \uc624\ucc28(MSE)\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a>
 Python\uc5d0\uc11c \ud3c9\uade0 \uc808\ub300 \uc624\ub958\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python\uc5d0\uc11c \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc5d0\ub294 \ub450 \uac00\uc9c0\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: SciPy\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ud558 \ud3c9\uade0 \uacc4\uc0b0 from scipy. stats import gmean #calculate geometric mean gmean([value1, value2, value3, …]) \ubc29\ubc95 2: NumPy\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ud558 \ud3c9\uade0 \uacc4\uc0b0 import numpy as np #define custom function def g_mean(x): a = np. log (x) return np. exp ( a.mean ()) #calculate […]<\/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-1935","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ubc30\uc5f4\uc758 \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\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\" href=\"https:\/\/statorials.org\/ko\/\u1100\u1175\u1112\u1161-\u1111\u1167\u11bc\u1100\u1172\u11ab-\u1111\u1161\u110b\u1175\u110a\u1165\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \uae30\ud558 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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