{"id":68886,"date":"2018-08-21T10:34:30","date_gmt":"2018-08-21T01:34:30","guid":{"rendered":"https:\/\/www.sejuku.net\/blog\/?p=68886"},"modified":"2024-05-06T11:50:52","modified_gmt":"2024-05-06T02:50:52","slug":"%e3%80%90numpy%e5%85%a5%e9%96%80-np-arange%e3%80%91%e7%ad%89%e5%b7%ae%e6%95%b0%e5%88%97%ef%bc%881357-%ef%bc%89%e3%82%92%e7%94%9f%e6%88%90%e3%81%99%e3%82%8barange%e9%96%a2%e6%95%b0","status":"publish","type":"post","link":"https:\/\/www.sejuku.net\/blog\/68886","title":{"rendered":"\u3010NumPy\u5165\u9580 np.arange\u3011\u7b49\u5dee\u6570\u5217\uff081,3,5,7..\uff09\u3092\u751f\u6210\u3059\u308barange\u95a2\u6570"},"content":{"rendered":"

\u7b49\u5dee\u6570\u5217<\/strong><\/span>\uff08\u4e00\u5b9a\u9593\u9694\u3067\u4e26\u3079\u3089\u308c\u305f\u6570\u5b57\uff09<\/strong>\u3092\u4f5c\u308bPython\u306e\u95a2\u6570\u306b\u3001range<\/strong><\/span>\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n \n

\n
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\n \n <\/div>\n
\n
\u3010Python\u5165\u9580\u3011range\u95a2\u6570\u3092\u4f7f\u3063\u3066\u30ea\u30b9\u30c8\u3092\u4f5c\u308d\u3046\uff01<\/div>\n
\u66f4\u65b0\u65e5\uff1a2024\u5e745\u67086\u65e5<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/a>\n \n

\u3053\u308c\u306b\u5bfe\u5fdc\u3059\u308bNumPy\u306e\u95a2\u6570\u3001np.arange<\/strong>\u95a2\u6570<\/span>\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n

NumPy\u306e\u95a2\u6570\u306fPython\u306e\u95a2\u6570\u306b\u6bd4\u3079\u3066\u3001\u4e00\u822c\u7684\u306b\u9ad8\u901f\u3067\u3042\u308b\u3053\u3068\u304c\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002Python\u306e\u95a2\u6570\u306b\u3082NumPy\u3067\u5bfe\u5fdc\u3059\u308b\u95a2\u6570\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u308b\u3082\u306e\u304c\u591a\u3044\u306e\u3067\u3001\u3057\u3063\u304b\u308a\u899a\u3048\u3066NumPy\u306e\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3092\u6d3b\u304b\u305b\u308b\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u3044\u304d\u307e\u3057\u3087\u3046\uff01<\/p>\n

np.arange\u306e\u5f15\u6570\u3068\u8fd4\u308a\u5024<\/h2>\n

\u203b\u53c2\u8003\uff1aSciPy.org<\/a><\/p>\n

numpy.<\/code>arange<\/code>(<\/span>[<\/span>start<\/em>,\u00a0]<\/span>stop<\/em>,\u00a0[<\/span>step<\/em>,\u00a0]<\/span>dtype=None<\/em>)<\/span><\/p>\n

\u6307\u5b9a\u3055\u308c\u305f\u533a\u9593\u5185(start ~ stop)\u3067\u7b49\u9593\u9694\u306e\u5024\u3092\u3082\u3063\u305f\u914d\u5217\u3092\u8fd4\u3057\u307e\u3059\u3002start\u304b\u3089stop\u307e\u3067\u3067\u7b49\u9593\u9694\u306e\u5024\u3092\u3082\u3064\u914d\u5217\u3092\u4f5c\u308a\u307e\u3059\u304c\u3001step\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u9593\u9694\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u3053\u306e\u95a2\u6570\u306fPython\u306erange\u95a2\u6570\u3068\u307b\u307c\u540c\u3058\u95a2\u6570\u3067\u3059\u304c\u3001\u8fd4\u308a\u5024\u304clist\u3067\u306f\u306a\u304fnp.array<\/strong>\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3067\u3059\uff01\u3000\u8981\u7d20\u306b\u5c0f\u6570\uff080.1\u306a\u3069\uff09\u3092\u4f7f\u3044\u305f\u3044\u5834\u5408\u306f\u3001np.linspace\u306e\u65b9\u304c\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<\/colgroup>\n\n\n\n
Parameters:<\/th>\n\n
\n
start<\/strong><\/span>\u00a0:<\/span> \u6570\u5b57, optional<\/span><\/dt>\n
\n

\u7b49\u5dee\u6570\u5217\u306e\u958b\u59cb\u306e\u5024\u3067\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u306f0\u3002<\/p>\n<\/dd>\n

stop<\/strong><\/span>\u00a0:<\/span> \u6570\u5b57<\/span><\/dt>\n
\n

\u7b49\u5dee\u6570\u5217\u306e\u7d42\u308f\u308a\u306e\u5024\u3067\u3059\u3002step\u306e\u5024\u306b\u3088\u3063\u3066\u306f\u3053\u306e\u5024\u3067\u7d42\u308f\u3089\u306a\u3044\u5834\u5408\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/dd>\n

step<\/strong>\u00a0<\/span>:<\/span> \u6570\u5b57, optional<\/span><\/dt>\n
\u5024\u306e\u9593\u9694\u3092\u6307\u5b9a\u3059\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u306f1\u3002<\/dd>\n
dtype<\/strong><\/span>\u00a0:<\/span>\u00a0dtype<\/span><\/dt>\n
\n

\u914d\u5217\u306e\u8981\u7d20\u306e\u578b\u3067\u3059\u3002dtype\u304c\u4e0e\u3048\u3089\u308c\u3066\u3044\u306a\u3044\u5834\u5408\u306f\u3001\u4ed6\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u304b\u3089\u9069\u5f53\u306a\u5024\u304c\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n<\/dd>\n<\/dl>\n<\/td>\n<\/tr>\n

Returns:<\/th>\n\n
\n
arange<\/strong><\/span>\u00a0:<\/span>\u00a0ndarray<\/span><\/dt>\n
\n

\u7b49\u5dee\u6570\u5217\u304c\u5165\u3063\u305f\u914d\u5217\u3092\u8fd4\u3057\u307e\u3059\u3002<\/p>\n<\/dd>\n<\/dl>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4f7f\u3044\u65b9<\/h2>\n

\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u306fjupyter<\/strong><\/span>\u3067\u5b9f\u884c\u3059\u308b\u4e8b\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\u3002<\/p>\n

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import numpy as np<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\u307e\u305a\u306f\u30e9\u30a4\u30d6\u30e9\u30ea\u3092import\u3002<\/div>\n
\n
\n
\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9<\/h3>\n
\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u306frange\u95a2\u6570\u3068\u540c\u3058\u3067\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
\n
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In\u00a0[2]:<\/div>\n
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\n
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x = np.arange(10)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
In\u00a0[3]:<\/div>\n
\n
\n
\n
def array_info(x):\r\n    print(\"\u914d\u5217\u306eshape\", x.shape)\r\n    print(\"\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b\", x.dtype)\r\n    print(\"\u914d\u5217\u306e\u4e2d\u8eabn\",x)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
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In\u00a0[4]:<\/div>\n
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array_info(x)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (10,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b int64\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n [0 1 2 3 4 5 6 7 8 9]\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
start\u3068stop\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u4efb\u610f\u306e\u7bc4\u56f2\u306e\u7b49\u5dee\u6570\u5217\u304c\u4f5c\u308c\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[5]:<\/div>\n
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x2 = np.arange(0,10)\r\narray_info(x2)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (10,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b int64\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n [0 1 2 3 4 5 6 7 8 9]\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[6]:<\/div>\n
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x3 = np.arange(5,11)\r\narray_info(x3)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (6,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b int64\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n [ 5  6  7  8  9 10]\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
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step\u5e45\u3092\u6307\u5b9a\u3059\u308b<\/h3>\n
step\u5e45\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u5f15\u6570\u306e\u9806\u756a\u306b\u6ce8\u610f<\/strong>\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[7]:<\/div>\n
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x4 = np.arange(5,15,3)\r\narray_info(x4)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (4,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b int64\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n [ 5  8 11 14]\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u964d\u9806\u306e\u7b49\u5dee\u6570\u5217<\/h3>\n
\u4eca\u307e\u3067\u306f\u6607\u9806\u306e\u7b49\u5dee\u6570\u5217\u3070\u304b\u308a\u4f5c\u3063\u3066\u304d\u307e\u3057\u305f\u304c\u3001\u3082\u3061\u308d\u3093\u964d\u9806\u3082\u4f5c\u308c\u307e\u3059\u3002<\/p>\n
\u305f\u3060\u3057\u3001step\u5e45\u3092\u6307\u5b9a\u3057\u3066\u3042\u3052\u306a\u3044\u3068\u7a7a\u306e\u914d\u5217\u306b\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3059<\/strong>\u3002\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[8]:<\/div>\n
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x4 = np.arange(10, 0)\r\narray_info(x4)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (0,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b int64\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n []\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u964d\u9806\u306e\u7b49\u5dee\u6570\u5217\u3092\u4f5c\u308bstep\u30d1\u30e9\u30e1\u30fc\u30bf\u306f\u30de\u30a4\u30ca\u30b9\u306e\u5024\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[9]:<\/div>\n
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x5 = np.arange(10, 0, -1)\r\narray_info(x5)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (10,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b int64\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n [10  9  8  7  6  5  4  3  2  1]\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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\u5c0f\u6570\u3092\u4f7f\u3063\u305f\u7b49\u5dee\u6570\u5217<\/h3>\n
\u3082\u3061\u308d\u3093\u3001\u8981\u7d20\u304c\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306b\u306a\u308b\u5834\u5408\u306b\u3082\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002\u3067\u3059\u304c\u3053\u308c\u3092\u3059\u308b\u5834\u5408\u3001np.linspace\u3068\u3044\u3046\u3082\u3063\u3068\u9069\u3057\u305f\u95a2\u6570\u304c\u3042\u308b\u306e\u3067\u3001\u305d\u3063\u3061\u3092\u4f7f\u3063\u305f\u307b\u3046\u304c\u826f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n            \n                
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\u3010NumPy\u5165\u9580 np.linspace\u3011\u7b49\u5dee\u6570\u5217\u3092\u4f5c\u6210\u3059\u308b\u95a2\u6570<\/div>\n                    
\u66f4\u65b0\u65e5\uff1a2024\u5e745\u67086\u65e5<\/div>\n                    <\/div>\n                <\/div>\n                <\/div>\n            <\/a>\n            \n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[10]:<\/div>\n
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x5 = np.arange(10, 0, -0.1)\r\narray_info(x5)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (100,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b float64\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n [10.   9.9  9.8  9.7  9.6  9.5  9.4  9.3  9.2  9.1  9.   8.9  8.8  8.7\r\n  8.6  8.5  8.4  8.3  8.2  8.1  8.   7.9  7.8  7.7  7.6  7.5  7.4  7.3\r\n  7.2  7.1  7.   6.9  6.8  6.7  6.6  6.5  6.4  6.3  6.2  6.1  6.   5.9\r\n  5.8  5.7  5.6  5.5  5.4  5.3  5.2  5.1  5.   4.9  4.8  4.7  4.6  4.5\r\n  4.4  4.3  4.2  4.1  4.   3.9  3.8  3.7  3.6  3.5  3.4  3.3  3.2  3.1\r\n  3.   2.9  2.8  2.7  2.6  2.5  2.4  2.3  2.2  2.1  2.   1.9  1.8  1.7\r\n  1.6  1.5  1.4  1.3  1.2  1.1  1.   0.9  0.8  0.7  0.6  0.5  0.4  0.3\r\n  0.2  0.1]\r\n<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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dtype\u306e\u6307\u5b9a<\/h3>\n
dtype\u3092\u660e\u793a\u7684\u306b\u66f8\u304f\u3053\u3068\u3067\u3001\u51fa\u529b\u3055\u308c\u308b\u914d\u5217\u306e\u578b\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n
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In\u00a0[11]:<\/div>\n
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x5 = np.arange(10, 0, -0.7, dtype=np.float16)\r\narray_info(x5)<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Out:<\/div>\n
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\u914d\u5217\u306eshape (15,)\r\n\u914d\u5217\u306e\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b float16\r\n\u914d\u5217\u306e\u4e2d\u8eab\r\n [10.      9.3     8.59    7.89    7.188   6.484   5.78    5.08    4.375\r\n  3.672   2.969   2.266   1.5625  0.8594  0.1562]<\/pre>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\u307e\u3068\u3081<\/h2>\n
\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001NumPy\u3067\u7b49\u5dee\u6570\u5217\u3092\u51fa\u529b\u3059\u308b\u95a2\u6570\u3001np.arange\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002<\/p>\n
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