{"id":2192,"date":"2023-07-23T07:39:09","date_gmt":"2023-07-23T07:39:09","guid":{"rendered":"https:\/\/statorials.org\/ja\/python-%e9%85%8d%e5%88%97%e3%81%ae%e9%85%8d%e5%88%97\/"},"modified":"2023-07-23T07:39:09","modified_gmt":"2023-07-23T07:39:09","slug":"python-%e9%85%8d%e5%88%97%e3%81%ae%e9%85%8d%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python-%e9%85%8d%e5%88%97%e3%81%ae%e9%85%8d%e5%88%97\/","title":{"rendered":"Python \u3067\u914d\u5217\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"

<\/p>\n

\n

\u6b21\u306e 2 \u3064\u306e\u65b9\u6cd5\u306e\u3044\u305a\u308c\u304b\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066 Python \u3067\u914d\u5217\u306e\u914d\u5217\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u65b9\u6cd5 1: \u500b\u3005\u306e\u30c6\u30fc\u30d6\u30eb\u3092\u7d50\u5408\u3059\u308b<\/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
\u65b9\u6cd5 2: \u30c6\u30fc\u30d6\u30eb\u306e\u914d\u5217\u3092\u76f4\u63a5\u4f5c\u6210\u3059\u308b<\/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
\u6b21\u306e\u4f8b\u306f\u3001\u5404\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
\u65b9\u6cd5 1: \u500b\u3005\u306e\u30c6\u30fc\u30d6\u30eb\u3092\u7d50\u5408\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u500b\u3005\u306e\u914d\u5217\u3092\u5358\u7d14\u306b\u7d50\u5408\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u914d\u5217\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/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
\u65b9\u6cd5 2: \u30c6\u30fc\u30d6\u30eb\u306e\u914d\u5217\u3092\u76f4\u63a5\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u914d\u5217\u306e\u914d\u5217\u3092\u76f4\u63a5\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/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
\u3053\u306e\u914d\u5217\u306e\u914d\u5217\u306f\u3001\u524d\u306e\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u4f5c\u6210\u3055\u308c\u305f\u3082\u306e\u3068\u4e00\u81f4\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u914d\u5217\u306e\u914d\u5217\u306e\u8981\u7d20\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n
Shape<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u914d\u5217\u306e\u914d\u5217\u306e\u6b21\u5143\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 print<\/span> ( all_arrays.shape<\/span> )<\/span>\n\n(3, 5)\n<\/span><\/span><\/strong><\/pre>\n
\u3053\u308c\u306f\u3001\u8868\u306e\u8868\u306b\u306f 3 \u884c 5 \u5217\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
 size<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u914d\u5217\u306e\u914d\u5217\u306b\u5408\u8a08\u5024\u304c\u3044\u304f\u3064\u3042\u308b\u304b\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 print<\/span> ( all_arrays.size<\/span> )<\/span>\n\n15<\/span><\/span><\/strong><\/pre>\n
\u3053\u308c\u306f\u3001\u914d\u5217\u914d\u5217\u5185\u306b\u5408\u8a08 15 \u500b\u306e\u5024\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u62ec\u5f27<\/strong>\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c6\u30fc\u30d6\u30eb\u306e\u914d\u5217\u5185\u306e\u7279\u5b9a\u306e\u4f4d\u7f6e\u306b\u3042\u308b\u8981\u7d20\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4f4d\u7f6e 3 \u306b\u3042\u308b\u6700\u521d\u306e\u914d\u5217\u306e\u5024\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 print<\/span> (all_arrays[0, 3])<\/span>\n\n40<\/span><\/span><\/strong><\/pre>\n
\u3053\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u914d\u5217\u306e\u914d\u5217\u5185\u306e\u4efb\u610f\u306e\u5024\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u914d\u5217\u3092\u4f7f\u7528\u3057\u3066\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 Python \u3067\u914d\u5217\u3092\u9023\u7d50\u3059\u308b\u65b9\u6cd5<\/a>
NumPy \u914d\u5217\u304b\u3089 Pandas DataFrame \u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a>
Pandas DataFrame \u3092 NumPy \u914d\u5217\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6b21\u306e 2 \u3064\u306e\u65b9\u6cd5\u306e\u3044\u305a\u308c\u304b\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066 Python \u3067\u914d\u5217\u306e\u914d\u5217\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002 \u65b9\u6cd5 1: \u500b\u3005\u306e\u30c6\u30fc\u30d6\u30eb\u3092\u7d50\u5408\u3059\u308b import numpy as np array1 = np.  […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2192","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPython \u3067\u914d\u5217\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u914d\u5217\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\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\/ja\/python-\u914d\u5217\u306e\u914d\u5217\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python \u3067\u914d\u5217\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - 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