{"id":3199,"date":"2023-07-18T17:14:14","date_gmt":"2023-07-18T17:14:14","guid":{"rendered":"https:\/\/statorials.org\/ja\/numpy-%e3%83%a9%e3%83%b3%e3%82%bf%e3%82%99%e3%83%a0%e8%a1%8c%e5%88%97\/"},"modified":"2023-07-18T17:14:14","modified_gmt":"2023-07-18T17:14:14","slug":"numpy-%e3%83%a9%e3%83%b3%e3%82%bf%e3%82%99%e3%83%a0%e8%a1%8c%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/numpy-%e3%83%a9%e3%83%b3%e3%82%bf%e3%82%99%e3%83%a0%e8%a1%8c%e5%88%97\/","title":{"rendered":"\u4e71\u6570\u3092\u4f7f\u7528\u3057\u3066 numpy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e71\u6570\u3092\u542b\u3080 NumPy \u884c\u5217\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u65b9\u6cd5 1: \u30e9\u30f3\u30c0\u30e0\u306a\u6574\u6570\u306e NumPy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/p>\n

 n.p. random<\/span> . randint<\/span> (low, high, (rows, columns))\n<\/strong><\/pre>\n
\u65b9\u6cd5 2: \u30e9\u30f3\u30c0\u30e0\u306a\u6d6e\u52d5\u5c0f\u6570\u70b9\u306e NumPy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/p>\n
 n.p. random<\/span> . rand<\/span> (rows, columns)<\/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
\u4f8b 1: \u30e9\u30f3\u30c0\u30e0\u306a\u6574\u6570\u306e NumPy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 7 \u884c<\/strong>2 \u5217<\/strong>\u306e\u5f62\u72b6\u30670<\/strong>\u304b\u308920 \u306e<\/strong>\u7bc4\u56f2\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u5024\u306e NumPy \u884c\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\n\n#create NumPy matrix of random integers\n<\/span>n.p. random<\/span> . randint<\/span> (0, 20, (7, 2))\n\narray([[ 3, 7],\n       [17, 10],\n       [0, 10],\n       [13, 16],\n       [6, 14],\n       [8, 7],\n       [9, 15]])<\/span><\/span><\/strong><\/pre>\n
\u884c\u5217\u306e\u5404\u5024\u306f 0 \uff5e 20 \u3067\u3042\u308a\u3001\u884c\u5217\u306e\u6700\u7d42\u5f62\u5f0f\u306f 7 \u884c 2 \u5217\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u4f8b 2:<\/strong><\/span>\u30e9\u30f3\u30c0\u30e0\u306a\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e NumPy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 0<\/strong>\u304b\u30891<\/strong>\u307e\u3067\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u6d6e\u52d5\u5c0f\u6570\u70b9\u5024\u30687<\/strong>\u52172<\/strong>\u884c\u306e\u5f62\u72b6\u3092\u6301\u3064 NumPy \u884c\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\n\n#create NumPy matrix of random floats\n<\/span>n.p. random<\/span> . rand<\/span> (7, 2)\n\narray([[0.64987774, 0.60099292],\n       [0.13626106, 0.1859029 ],\n       [0.77007972, 0.65179164],\n       [0.33524707, 0.46201819],\n       [0.1683, 0.72960909],\n       [0.76117417, 0.37212974],\n       [0.18879731, 0.65723325]])\n<\/span><\/span><\/strong><\/pre>\n
\u7d50\u679c\u306f\u30017 \u884c 2 \u5217\u306e\u5f62\u72b6\u3092\u6301\u3064 0 \u304b\u3089 1 \u307e\u3067\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u6d6e\u52d5\u5c0f\u6570\u70b9\u5024\u3092\u542b\u3080 NumPy \u884c\u5217\u3067\u3059\u3002<\/span><\/p>\n
 NumPy \u306eround()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5404 float \u3092\u7279\u5b9a\u306e\u5c0f\u6570\u70b9\u4ee5\u4e0b\u306e\u6841\u6570\u306b\u4e38\u3081\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5c0f\u6570\u70b9\u7b2c 2 \u4f4d\u306b\u56db\u6368\u4e94\u5165\u3055\u308c\u305f\u30e9\u30f3\u30c0\u30e0\u306a\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e NumPy \u884c\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\n\n#create NumPy matrix of random floats rounded to 2 decimal places\n<\/span>n.p. round<\/span> (np. random<\/span> . rand<\/span> (5, 2), 2)\n\narray([[0.37, 0.63],\n       [0.51, 0.68],\n       [0.23, 0.98],\n       [0.62, 0.46],\n       [0.02, 0.94]])\n<\/span><\/span><\/strong><\/pre>\n
\u6ce8<\/strong>: NumPy rand()<\/strong>\u95a2\u6570\u306e\u5b8c\u5168\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306f\u3053\u3053\u3067<\/a>\u898b\u3064\u3051\u308b\u3053\u3068\u304c\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\u4ed6\u306e\u4e00\u822c\u7684\u306a\u5909\u63db\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 Pandas DataFrame \u5217\u3092\u6587\u5b57\u5217\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a>
Pandas\u3067\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3092\u65e5\u4ed8\/\u6642\u523b\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a>
Pandas \u3067 DateTime \u3092\u65e5\u4ed8\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e71\u6570\u3092\u542b\u3080 NumPy \u884c\u5217\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002 \u65b9\u6cd5 1: \u30e9\u30f3\u30c0\u30e0\u306a\u6574\u6570\u306e NumPy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b n.p. random . randint (low, high, (rows, colum […]<\/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-3199","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\u4e71\u6570\u3092\u4f7f\u7528\u3057\u3066 NumPy \u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy 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