{"id":3836,"date":"2023-07-15T06:19:56","date_gmt":"2023-07-15T06:19:56","guid":{"rendered":"https:\/\/statorials.org\/ko\/numpy-%e1%84%85%e1%85%b5%e1%84%83%e1%85%a5%e1%84%87%e1%85%a9%e1%84%83%e1%85%b3\/"},"modified":"2023-07-15T06:19:56","modified_gmt":"2023-07-15T06:19:56","slug":"numpy-%e1%84%85%e1%85%b5%e1%84%83%e1%85%a5%e1%84%87%e1%85%a9%e1%84%83%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/numpy-%e1%84%85%e1%85%b5%e1%84%83%e1%85%a5%e1%84%87%e1%85%a9%e1%84%83%e1%85%b3\/","title":{"rendered":"Numpy \ubc30\uc5f4\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \uc9c0\uc815\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

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\ub2e4\uc74c \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: NumPy\uc5d0\uc11c argsort() \uc0ac\uc6a9<\/strong><\/span><\/p>\n

 import<\/span> numpy as<\/span> np\n\nranks = np. array<\/span> (my_array). argsort<\/span> (). argsort<\/span> ()\n<\/strong><\/span><\/pre>\n
 \ubc29\ubc95 2: SciPy\uc758 Rankdata() \uc0ac\uc6a9<\/strong><\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata\n\nranks = rankdata(my_array)\n<\/b><\/span><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c NumPy \ubc30\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define array of values\n<\/span>my_array = np. array<\/span> ([3, 5, 2, 1, 9, 9])\n\n#view array\n<\/span>print<\/span> (my_array)\n\n[3 5 2 1 9 9]<\/b><\/span><\/pre>\n
 \uc608\uc81c 1: argsort()\ub97c \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uc694\uc18c \uc815\ub82c<\/span><\/strong><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 NumPy\uc758 argsort()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc30\uc5f4 \uc694\uc18c\ub97c \uc815\ub82c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #calculate rank of each item in array\n<\/span>ranks = np. array<\/span> (my_array). argsort<\/span> (). argsort<\/span> ()\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\n[2 3 1 0 4 5]\n<\/strong><\/span><\/pre>\n
 \uacb0\uacfc\uc5d0\ub294 \uc6d0\ub798 \ubc30\uc5f4\uc758 \uac01 \uc694\uc18c \uc21c\uc704\uac00 \ud45c\uc2dc\ub418\uba70, 0\uc740<\/strong> \uac00\uc7a5 \ub0ae\uc740 \uac12\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \uc774 \uc811\uadfc \ubc29\uc2dd\uc758 \uc7a5\uc810\uc740 \ucd94\uac00 \ubaa8\ub4c8\uc744 \ub85c\ub4dc\ud560 \ud544\uc694\uac00 \uc5c6\ub2e4\ub294 \uc810\uc774\uc9c0\ub9cc, argsort()\uc5d0\ub294<\/strong> \ub9c1\ud06c\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc774 \ud558\ub098\ub9cc \uc788\ub2e4\ub294 \ub2e8\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uae30\ubcf8\uc801\uc73c\ub85c argsort()\ub294<\/strong> \uc21c\uc11c \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub9c1\ud06c\ub97c \ucc98\ub9ac\ud569\ub2c8\ub2e4. \uc989, \uba3c\uc800 \ub098\ud0c0\ub098\ub294 \uc5f0\uacb0\ub41c \uac12\uc5d0 \uc790\ub3d9\uc73c\ub85c \ub0ae\uc740 \uc21c\uc704\uac00 \ubd80\uc5ec\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\uc81c 2: Rankdata()\ub97c \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uc694\uc18c \uc21c\uc704 \uc9c0\uc815<\/span><\/strong><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 SciPy\uc758 Rankdata()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc30\uc5f4 \uc694\uc18c\uc758 \uc21c\uc704\ub97c \uc9c0\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata<\/b><\/span>\n\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array)<\/b>\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\narray([3. , 4. , 2. , 1. , 5.5, 5.5])\n<\/strong><\/span><\/pre>\n
 \uacb0\uacfc\uc5d0\ub294 \uc6d0\ubcf8 \ubc30\uc5f4\uc758 \uac01 \uc694\uc18c \uc21c\uc704\uac00 \ud45c\uc2dc\ub418\uba70, 1\uc740<\/strong> \uac00\uc7a5 \uc791\uc740 \uac12\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
 0\uc774<\/strong> \uac00\uc7a5 \uc791\uc740 \uac12\uc744 \ub098\ud0c0\ub0b4\ub3c4\ub85d \ud558\ub824\uba74 \uac01 \uac12\uc5d0\uc11c 1\uc744 \ube7c\uba74 \ub429\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata<\/b>\n<\/span>\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array) - 1\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\n[2. 3. 1. 0. 4.5 4.5]<\/strong><\/span><\/pre>\n
 \uae30\ubcf8\uc801\uc73c\ub85c Rankdata()<\/strong> \ud568\uc218\ub294 \ub3d9\ub960\uc774 \uc788\ub294 \ubaa8\ub4e0 \uac12\uc5d0 \ud3c9\uade0 \uc21c\uc704\ub97c \ud560\ub2f9\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \uadf8\ub7ec\ub098 \uba54\uc18c\ub4dc \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub9c1\ud06c\ub97c \ub2e4\ub978 \ubc29\uc2dd\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub9c1\ud06c \uad00\ub9ac \ubc29\ubc95\uc73c\ub85c \uc11c\uc218\ub97c<\/strong> \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata<\/b>\n\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array, method=' ordinal<\/span> ') - 1\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\n[2 3 1 0 4 5]\n<\/strong><\/span><\/pre>\n
 \uc774\ub294 NumPy\uc758 argsort()<\/strong> \uba54\uc18c\ub4dc\uc640 \ub3d9\uc77c\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\ub978 \ub9c1\ud06c \uad00\ub9ac \ubc29\ubc95\uc5d0\ub294 min<\/strong> , max<\/strong> \ubc0f dark \uac00<\/strong> \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 SciPy \ubb38\uc11c<\/a> \uc5d0\uc11c \uac01 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc138\uc694.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 NumPy\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 NumPy \ubc30\uc5f4\uc5d0\uc11c \uc911\ubcf5 \uc694\uc18c\ub97c \uc81c\uac70\ud558\ub294 \ubc29\ubc95<\/a>
 NumPy \ubd80\ub3d9 \uc18c\uc218\uc810 \ubc30\uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 NumPy \ud589\ub82c\uc744 \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: NumPy\uc5d0\uc11c argsort() \uc0ac\uc6a9 import numpy as np ranks = np. array (my_array). argsort (). argsort () \ubc29\ubc95 2: SciPy\uc758 Rankdata() \uc0ac\uc6a9 from scipy. stats import rankdata ranks = rankdata(my_array) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c NumPy \ubc30\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. […]<\/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-3836","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nNumPy \ubc30\uc5f4\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \uc9c0\uc815\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 NumPy \ubc30\uc5f4\uc758 \uc694\uc18c\ub97c \uc815\ub82c\ud558\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 \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\/numpy-\u1105\u1175\u1103\u1165\u1107\u1169\u1103\u1173\/\" \/>\n<meta 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