{"id":2192,"date":"2023-07-23T07:39:09","date_gmt":"2023-07-23T07:39:09","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%a2%e1%84%8b%e1%85%a7%e1%86%af\/"},"modified":"2023-07-23T07:39:09","modified_gmt":"2023-07-23T07:39:09","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%a2%e1%84%8b%e1%85%a7%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%87%e1%85%a2%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%a2%e1%84%8b%e1%85%a7%e1%86%af\/","title":{"rendered":"Python\uc5d0\uc11c \ubc30\uc5f4\uc758 \ubc30\uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

NumPy \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ubc30\uc5f4 \ubc30\uc5f4\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c \ub450 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \uac1c\ubcc4 \ud14c\uc774\ube14 \uacb0\ud569<\/strong><\/span><\/p>\n

 import<\/span> numpy as<\/span> np<\/span>\n\narray1 = np. array<\/span> ([1, 2, 3])\narray2 = np. array<\/span> ([4, 5, 6])\narray3 = np. array<\/span> ([7, 8, 9])\n\nall_arrays = np. array<\/span> ([array1, array2, array3])\n<\/span><\/span><\/strong><\/pre>\n
 \ubc29\ubc95 2: \ud14c\uc774\ube14 \ubc30\uc5f4\uc744 \uc9c1\uc811 \uc0dd\uc131<\/strong><\/span><\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\nall_arrays = np. array<\/span> ([[1, 2, 3],\n                       [4, 5, 6],\n                       [7, 8, 9]])\n<\/span><\/span><\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uac01 \ubc29\ubc95\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc29\ubc95 1: \uac1c\ubcc4 \ud14c\uc774\ube14 \uacb0\ud569<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e8\uc21c\ud788 \uac1c\ubcc4 \ubc30\uc5f4\uc744 \uacb0\ud569\ud558\uc5ec \ubc30\uc5f4\uc758 \ubc30\uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\n#define individual arrays\n<\/span>array1 = np. array<\/span> ([10, 20, 30, 40, 50])\narray2 = np. array<\/span> ([60, 70, 80, 90, 100])\narray3 = np. array<\/span> ([110, 120, 130, 140, 150])\n\n#combine individual arrays into one array of arrays<\/span>\nall_arrays = np. array<\/span> ([array1, array2, array3])\n\n#view array of arrays<\/span>\nprint<\/span> (all_arrays)\n\n[[ 10 20 30 40 50]\n [60 70 80 90 100]\n [110 120 130 140 150]]\n<\/span><\/span><\/strong><\/pre>\n
 \ubc29\ubc95 2: \ud14c\uc774\ube14 \ubc30\uc5f4\uc744 \uc9c1\uc811 \uc0dd\uc131<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ubc30\uc5f4\uc758 \ubc30\uc5f4\uc744 \uc9c1\uc811 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\n#create array of arrays\n<\/span>all_arrays = np. array<\/span> ([[10, 20, 30, 40, 50],\n                       [60, 70, 80, 90, 100],\n                       [110, 120, 130, 140, 150]])\n\n#view array of arrays<\/span>\nprint<\/span> (all_arrays)\n\n[[ 10 20 30 40 50]\n [60 70 80 90 100]\n [110 120 130 140 150]]\n<\/span><\/span><\/strong><\/pre>\n
 \uc774 \ubc30\uc5f4 \ubc30\uc5f4\uc740 \uc774\uc804 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0dd\uc131\ub41c \ubc30\uc5f4\uacfc \uc77c\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc30\uc5f4\uc758 \ubc30\uc5f4 \uc694\uc18c\uc5d0 \uc561\uc138\uc2a4\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 Shape<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc30\uc5f4 \ubc30\uc5f4\uc758 \ucc28\uc6d0\uc744 \uac80\uc0c9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 print<\/span> ( all_arrays.shape<\/span> )<\/span>\n\n(3, 5)\n<\/span><\/span><\/strong><\/pre>\n
 \uc774\ub294 \ud14c\uc774\ube14\uc758 \ud14c\uc774\ube14\uc5d0 3\uac1c\uc758 \ud589\uacfc 5\uac1c\uc758 \uc5f4\uc774 \uc788\uc74c\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \ud06c\uae30<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc30\uc5f4 \ubc30\uc5f4\uc5d0 \ucd1d \uac12\uc774 \uba87 \uac1c \uc788\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 print<\/span> ( all_arrays.size<\/span> )<\/span>\n\n15<\/span><\/span><\/strong><\/pre>\n
 \uc774\ub294 \ubc30\uc5f4 \ubc30\uc5f4\uc5d0 \ucd1d 15\uac1c\uc758 \uac12\uc774 \uc788\uc74c\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \ub300\uad04\ud638\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ud14c\uc774\ube14 \ubc30\uc5f4\uc758 \ud2b9\uc815 \uc704\uce58\uc5d0 \uc788\ub294 \uc694\uc18c\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc778\ub371\uc2a4 \uc704\uce58 3\uc5d0 \uc788\ub294 \uccab \ubc88\uc9f8 \ubc30\uc5f4\uc758 \uac12\uc744 \uac80\uc0c9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 print<\/span> (all_arrays[0, 3])<\/span>\n\n40<\/span><\/span><\/strong><\/pre>\n
 \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubc30\uc5f4 \ubc30\uc5f4\uc5d0\uc11c \uc6d0\ud558\ub294 \uac12\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ubc30\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Python\uc5d0\uc11c \ubc30\uc5f4\uc744 \uc5f0\uacb0\ud558\ub294 \ubc29\ubc95<\/a>
 NumPy \ubc30\uc5f4\uc5d0\uc11c Pandas DataFrame\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc744 NumPy \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
NumPy \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ubc30\uc5f4 \ubc30\uc5f4\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c \ub450 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \uac1c\ubcc4 \ud14c\uc774\ube14 \uacb0\ud569 import numpy as np array1 = np. array ([1, 2, 3]) array2 = np. array ([4, 5, 6]) array3 = np. array ([7, 8, 9]) all_arrays = np. array ([array1, array2, array3]) \ubc29\ubc95 2: […]<\/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-2192","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c \ubc30\uc5f4\uc758 \ubc30\uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4<\/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 \ubc30\uc5f4\uc744 \ub9cc\ub4dc\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\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1107\u1162\u110b\u1167\u11af\u110b\u1174-\u1107\u1162\u110b\u1167\u11af\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \ubc30\uc5f4\uc758 \ubc30\uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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