{"id":4368,"date":"2023-07-11T15:16:21","date_gmt":"2023-07-11T15:16:21","guid":{"rendered":"https:\/\/statorials.org\/ja\/numpy-arange-%e3%81%ab%e3%81%af%e3%82%a8%e3%83%b3%e3%83%88%e3%82%99%e3%83%9b%e3%82%9a%e3%82%a4%e3%83%b3%e3%83%88%e3%81%8b%e3%82%99%e5%90%ab%e3%81%be%e3%82%8c%e3%81%be%e3%81%99\/"},"modified":"2023-07-11T15:16:21","modified_gmt":"2023-07-11T15:16:21","slug":"numpy-arange-%e3%81%ab%e3%81%af%e3%82%a8%e3%83%b3%e3%83%88%e3%82%99%e3%83%9b%e3%82%9a%e3%82%a4%e3%83%b3%e3%83%88%e3%81%8b%e3%82%99%e5%90%ab%e3%81%be%e3%82%8c%e3%81%be%e3%81%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/numpy-arange-%e3%81%ab%e3%81%af%e3%82%a8%e3%83%b3%e3%83%88%e3%82%99%e3%83%9b%e3%82%9a%e3%82%a4%e3%83%b3%e3%83%88%e3%81%8b%e3%82%99%e5%90%ab%e3%81%be%e3%82%8c%e3%81%be%e3%81%99\/","title":{"rendered":"Numpy: \u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u914d\u7f6e\u3057\u3066\u542b\u3081\u308b\u4f7f\u7528\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

NumPy arange<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5024\u306e\u30b7\u30fc\u30b1\u30f3\u30b9\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001\u3053\u306e\u95a2\u6570\u306b\u306f\u4e00\u9023\u306e\u5024\u306b\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u304c\u542b\u307e\u308c\u307e\u305b\u3093\u3002<\/span><\/p>\n

\u3053\u306e\u554f\u984c\u3092\u56de\u907f\u3059\u308b\u306b\u306f 2 \u3064\u306e\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n

\u65b9\u6cd5 1: \u30b9\u30c6\u30c3\u30d7 \u30b5\u30a4\u30ba\u3092\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u306b\u8ffd\u52a0\u3059\u308b<\/strong><\/span><\/p>\n

 n.p. arange<\/span> (start, stop + step, step)<\/span><\/span><\/strong><\/pre>\n
\u65b9\u6cd5 2: \u4ee3\u308f\u308a\u306b linspace \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/p>\n
 n.p. linspace<\/span> (start, stop, num)<\/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
\u4f8b 1: \u30b9\u30c6\u30c3\u30d7 \u30b5\u30a4\u30ba\u3092\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u306b\u8ffd\u52a0\u3059\u308b<\/strong><\/span><\/h2>\n
5 \u30b9\u30c6\u30c3\u30d7\u3067 0 \u304b\u3089 50 \u307e\u3067\u306e\u5024\u306e\u30b7\u30fc\u30b1\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n
 NumPy arange<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u3001\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8 50 \u306f\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u30b7\u30fc\u30b1\u30f3\u30b9\u306b\u542b\u307e\u308c\u307e\u305b\u3093\u3002<\/span><\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#specify start, stop, and step size\n<\/span>start = 0\nstop = 50\nstep = 5\n\n#create array\n<\/span>n.p. arange<\/span> (start, stop, step)\n\narray([ 0, 5, 10, 15, 20, 25, 30, 35, 40, 45])\n<\/span><\/span><\/strong><\/pre>\n
\u7d42\u4e86\u70b9 50 \u3092\u542b\u3081\u308b\u306b\u306f\u3001\u30b9\u30c6\u30c3\u30d7 \u30b5\u30a4\u30ba\u3092stop<\/strong>\u5f15\u6570\u306b\u8ffd\u52a0\u3059\u308b\u3060\u3051\u3067\u3059\u3002<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#specify start, stop, and step size\n<\/span>start = 0\nstop = 50\nstep = 5\n\n#create array\n<\/span>n.p. arange<\/span> (start, stop + step, step)\n\narray([ 0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50])\n<\/span><\/span><\/strong><\/pre>\n
\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8 50 \u304c\u5024\u306e\u30b7\u30fc\u30b1\u30f3\u30b9\u306b\u542b\u307e\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u6ce8<\/strong>: NumPy arange()<\/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
\u4f8b 2: \u4ee3\u308f\u308a\u306b linspace \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/h2>\n
\u4e00\u9023\u306e\u5024\u3092\u4f5c\u6210\u3057\u3066\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u542b\u3081\u308b\u5225\u306e\u65b9\u6cd5\u306f\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u542b\u3080 NumPy linspace<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 0 \u304b\u3089 50 \u307e\u3067\u306e\u5024\u306e\u30b7\u30fc\u30b1\u30f3\u30b9\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
 import<\/span> numpy as<\/span> np\n\n#specify start, stop, and number of total values in sequence\n<\/span>start = 0\nstop = 50\nnum = 11\n\n#create array\n<\/span>n.p. linspace<\/span> (start, stop, num)\n\narray([ 0., 5., 10., 15., 20., 25., 30., 35., 40., 45., 50.])\n<\/span><\/span><\/strong><\/pre>\n
\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8 50 \u304c\u4e00\u9023\u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u5024\u306b\u542b\u307e\u308c\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u3067\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
 NumPy \u914d\u5217\u306b\u5024\u3092\u5165\u529b\u3059\u308b\u65b9\u6cd5<\/a>
NumPy\u914d\u5217\u5185\u306e\u8981\u7d20\u3092\u7f6e\u63db\u3059\u308b\u65b9\u6cd5<\/a>
NumPy\u914d\u5217\u306e\u4e00\u610f\u306e\u5024\u3092\u30ab\u30a6\u30f3\u30c8\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
NumPy arange\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5024\u306e\u30b7\u30fc\u30b1\u30f3\u30b9\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002 \u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001\u3053\u306e\u95a2\u6570\u306b\u306f\u4e00\u9023\u306e\u5024\u306b\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u304c\u542b\u307e\u308c\u307e\u305b\u3093\u3002 \u3053\u306e\u554f\u984c\u3092\u56de\u907f\u3059\u308b\u306b\u306f 2 \u3064\u306e\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002 \u65b9\u6cd5 1: \u30b9\u30c6\u30c3\u30d7 \u30b5\u30a4\u30ba […]<\/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-4368","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nNumPy: arange \u3092\u4f7f\u7528\u3057\u3066\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u542b\u3081\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy arange \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3001\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u914d\u5217\u306e\u5024\u3068\u3057\u3066\u542b\u3081\u308b\u65b9\u6cd5\u3092\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\/numpy-arange-\u306b\u306f\u30a8\u30f3\u30c8\u3099\u30db\u309a\u30a4\u30f3\u30c8\u304b\u3099\u542b\u307e\u308c\u307e\u3059\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy: arange \u3092\u4f7f\u7528\u3057\u3066\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u542b\u3081\u308b\u65b9\u6cd5 - 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\u6ce8<\/strong>: NumPy arange()<\/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