{"id":9569,"date":"2025-06-13T16:46:20","date_gmt":"2025-06-13T07:46:20","guid":{"rendered":"https:\/\/techmania.jp\/blog\/?p=9569"},"modified":"2025-06-13T16:46:22","modified_gmt":"2025-06-13T07:46:22","slug":"numpy-zeros","status":"publish","type":"post","link":"https:\/\/techmania.jp\/blog\/numpy-zeros\/","title":{"rendered":"\u3010NumPy\u5165\u9580\u3011\u914d\u5217\u306e\u5024\u30920\u3067\u521d\u671f\u5316\u3059\u308bzeros\u95a2\u6570\u306e\u4f7f\u3044\u65b9"},"content":{"rendered":"\n

Python\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\uff11\u3064\u3067\u3042\u308bNumPy\u306b\u306f\u3001\u914d\u5217\u3092\u521d\u671f\u5316\u3059\u308b\u305f\u3081\u306e\u95a2\u6570\u304c\u3044\u304f\u3064\u304b\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u4eca\u56de\u306f\u305d\u306e\u4e2d\u304b\u3089\u3001\u914d\u5217\u306e\u5168\u8981\u7d20\u306e\u5024\u3092\uff10\u3067\u521d\u671f\u5316\u3059\u308b \u300czeros\u95a2\u6570<\/strong>\u300d \u306b\u3064\u3044\u3066\u3001\u8a73\u3057\u3044\u4f7f\u3044\u65b9\u3092\u89e3\u8aac\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u914d\u5217\u306e\u5024\u30920\u3067\u521d\u671f\u5316\u3059\u308b\u610f\u5473\u30fb\u30e1\u30ea\u30c3\u30c8<\/h2>\n\n\n\n

Numpy\u306f\u3001Python\u3067\u306e\u6570\u5024\u8a08\u7b97\u3092\u52b9\u7387\u3088\u304f\u884c\u3048\u308b\u3088\u3046\u306b\u3057\u3066\u304f\u308c\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3042\u308a\u3001\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3046\u969b\u306b\u306f\u6b20\u304b\u305b\u306a\u3044\u30c4\u30fc\u30eb\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u4e0a\u8a18\u306e\u3088\u3046\u306a\u8907\u96d1\u306a\u8a08\u7b97\u3092\u884c\u3046\u969b\u306b\u3001\u8a08\u7b97\u306b\u4f7f\u7528\u3059\u308b\u914d\u5217\u3092\u4e8b\u524d\u306b\u521d\u671f\u5316\u3057\u3066\u304a\u304f\u5fc5\u8981\u304c\u3042\u308b\u30b1\u30fc\u30b9\u3082\u4e2d\u306b\u306f\u3042\u308a\u307e\u3059\u3002
\u7279\u5b9a\u306e\u5927\u304d\u3055\u306e\u914d\u5217\u3092\u524d\u3082\u3063\u3066\u6e96\u5099\u3057\u306a\u3051\u308c\u3070\u3044\u3051\u306a\u3044\u5834\u9762\u306a\u3069\u306b\u304a\u3044\u3066\u3001zeros\u95a2\u6570\u3092\u542b\u3080\u521d\u671f\u5316\u7528\u306e\u95a2\u6570\u306f\u975e\u5e38\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n\n\n\n

\u307e\u305f\u4e00\u822c\u7684\u306b\u3001\u521d\u671f\u5316\u3055\u308c\u3066\u3044\u306a\u3044\u72b6\u614b\u306e\u914d\u5217\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u306f\u3001\u610f\u56f3\u3057\u306a\u3044\u30a8\u30e9\u30fc\u3092\u767a\u751f\u3055\u305b\u308b\u539f\u56e0\u306b\u3082\u306a\u308a\u5f97\u308b\u305f\u3081\u3001\u4e8b\u524d\u306b\u521d\u671f\u5316\u3092\u3057\u3066\u304a\u304f\u3053\u3068\u306f\u30ea\u30b9\u30af\u56de\u907f\u306b\u3082\u7e4b\u304c\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u4ed6\u306b\u3082\u3001\u660e\u793a\u7684\u306b\u521d\u671f\u5316\u3092\u884c\u3046\u3053\u3068\u3067\u3001\u914d\u5217\u3092\u4f7f\u7528\u3059\u308b\u610f\u56f3\u3092\u660e\u78ba\u306b\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u305f\u3081\u3001\u30c1\u30fc\u30e0\u958b\u767a\u3092\u884c\u3046\u969b\u306e\u30b3\u30fc\u30c9\u89e3\u8aad\u306e\u624b\u52a9\u3051\u306b\u306a\u3063\u305f\u308a\u3001\u4fee\u6b63\u6642\u306e\u30ea\u30b9\u30af\u8efd\u6e1b\u306b\u7e4b\u3052\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

zeros\u95a2\u6570\u306f\u3001\u4f5c\u6210\u3059\u308b\u914d\u5217\u306e\u5f62\u72b6 (\u5927\u304d\u3055\u3084\u8981\u7d20\u306e\u578b) \u3092\u6307\u5b9a\u3059\u308b\u3060\u3051\u3067\u521d\u671f\u5316\u3067\u304d\u308b\u305f\u3081\u3001\u4e00\u5b9a\u306e\u5024\u306b\u63c3\u3048\u305f\u914d\u5217\u304c\u5fc5\u8981\u306a\u5834\u5408\u306b\u52b9\u7387\u7684\u306b\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

np.zeros\u306e\u57fa\u672c\u69cb\u6587\u3068\u5f15\u6570\u30fb\u8fd4\u308a\u5024<\/h2>\n\n\n\n

zeros\u95a2\u6570\u306e\u5b9f\u969b\u306e\u4f7f\u3044\u65b9\u3092\u78ba\u8a8d\u3059\u308b\u524d\u306b\u3001\u8a18\u8ff0\u3059\u308b\u969b\u306e\u57fa\u672c\u69cb\u6587\u3084\u5f15\u6570\u30fb\u8fd4\u308a\u5024\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

zeros\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u969b\u306e\u57fa\u672c\u69cb\u6587\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u8a18\u8ff0\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\u3010\u57fa\u672c\u69cb\u6587\u3011<\/strong><\/p>\n\n\n\n

numpy.zeros(shape, dtype, order)<\/code><\/pre><\/div>\n\n\n\n
zeros\u95a2\u6570\u3067\u6307\u5b9a\u3067\u304d\u308b\u5f15\u6570\u306f\u3001shape, dtype, order\u306e\uff13\u3064\u3067\u3059\u3002<\/p>\n\n\n\n
\u3010shape\u3011<\/strong><\/p>\n\n\n\n
\u4f5c\u6210\u3059\u308b\u914d\u5217\u306e\u6b21\u5143\u6570\u3084\u8981\u7d20\u6570\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002
\uff11\u6b21\u5143\u914d\u5217\u306e\u5834\u5408\u306f\u8981\u7d20\u6570\u306e\u307f\u3092\u3001\uff12\u6b21\u5143\u4ee5\u4e0a\u306e\u914d\u5217\u306e\u5834\u5408\u306f\u6b21\u5143\u6570\u3068\u8981\u7d20\u6570\u3092\u30bf\u30d7\u30eb\u3067\u6307\u5b9a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u4f8b: 5\u3001 (2,3) \u306a\u3069<\/p>\n\n\n\n
\u3010dtype\u3011<\/strong><\/p>\n\n\n\n
\u683c\u7d0d\u3059\u308b\u8981\u7d20\u306e\u30c7\u30fc\u30bf\u578b\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\uff08\u30aa\u30d7\u30b7\u30e7\u30f3\u306e\u305f\u3081\u3001\u6307\u5b9a\u3057\u306a\u304f\u3066\u3082OK\uff09
\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u6d6e\u52d5\u5c0f\u6570\u70b9\u578b (float64) \u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u4f8b: dtype=int \u3001dtype=bool \u306a\u3069<\/p>\n\n\n\n
\u3010order\u3011<\/strong><\/p>\n\n\n\n
\u914d\u5217\u306e\u30e1\u30e2\u30ea\u30ec\u30a4\u30a2\u30a6\u30c8\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002\uff08\u30aa\u30d7\u30b7\u30e7\u30f3\u306e\u305f\u3081\u3001\u6307\u5b9a\u3057\u306a\u304f\u3066\u3082OK\uff09
\u591a\u6b21\u5143\u914d\u5217\u3092 \u300c\u2019C\u2019 (C-style\u3001\u884c\u512a\u5148 )\u300d \u3068 \u300c\u2019F\u2019 (Fortran-style\u3001\u5217\u512a\u5148)\u300d \u306e\u3069\u3061\u3089\u3067\u30e1\u30e2\u30ea\u306b\u683c\u7d0d\u3059\u308b\u304b\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u306f \u2019C\u2019 \u3067\u3059\u3002<\/p>\n\n\n\n
\u4f8b: order=\u2019F\u2019<\/p>\n\n\n\n
\u6307\u5b9a\u3057\u305f\u5f15\u6570\u306e\u5185\u5bb9\u306b\u6cbf\u3063\u3066\u3001\u8981\u7d20\u306e\u5024\u3092\uff10\u3067\u57cb\u3081\u305f ndarray\u304c\u8fd4\u5374\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
np.zeros\u306e\u4f7f\u3044\u65b9<\/h2>\n\n\n\n
\u3053\u3053\u304b\u3089\u306f\u3001zeros\u95a2\u6570\u306e\u5b9f\u969b\u306e\u4f7f\u3044\u65b9\u306b\u3064\u3044\u3066\u3001\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3092\u4ea4\u3048\u306a\u304c\u3089\u89e3\u8aac\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u57fa\u672c\u7684\u306a\u914d\u5217\u306e\u4f5c\u6210<\/h3>\n\n\n\n
\u307e\u305a\u306f\u3001\u6700\u3082\u57fa\u672c\u7684\u306a\u4f8b\u304b\u3089\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002
zeros\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u969b\u306f\u3001\u7b2c\uff11\u5f15\u6570\u306b\u4f5c\u6210\u3057\u305f\u3044\u914d\u5217\u306e\u5927\u304d\u3055\u3092\u6307\u5b9a\u3057\u3066\u521d\u671f\u5316\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u3010\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3011<\/strong><\/p>\n\n\n\n
import numpy as np\n\nsampleArray = np.zeros(5)\n\nprint(sampleArray)<\/code><\/pre><\/div>\n\n\n\n
\u3010\u5b9f\u884c\u7d50\u679c\u3011<\/strong><\/p>\n\n\n\n
[0. 0. 0. 0. 0.]<\/code><\/pre><\/div>\n\n\n\n
\u5f15\u6570\u306b\u30bf\u30d7\u30eb\u3092\u6e21\u3059\u3053\u3068\u3067\u3001\u591a\u6b21\u5143\u914d\u5217\u3082\u7c21\u5358\u306b\u521d\u671f\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u3010\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3011<\/strong><\/p>\n\n\n\n
import numpy as np\n\nsampleArray = np.zeros((3, 5))\n\nprint(sampleArray)<\/code><\/pre><\/div>\n\n\n\n
\u3010\u5b9f\u884c\u7d50\u679c\u3011<\/strong><\/p>\n\n\n\n
[[0. 0. 0. 0. 0.]\n [0. 0. 0. 0. 0.]\n [0. 0. 0. 0. 0.]]<\/code><\/pre><\/div>\n\n\n\n
\u540c\u69d8\u306b\u3001\u30bf\u30d7\u30eb\u3092\u4f7f\u7528\u3057\u3066\uff13\u6b21\u5143\u4ee5\u4e0a\u306e\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002<\/p>\n\n\n\n
\u3010\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3011<\/strong><\/p>\n\n\n\n
import numpy as np\n\nsampleArray = np.zeros((2, 3, 5))\n\nprint(sampleArray)<\/code><\/pre><\/div>\n\n\n\n
\u3010\u5b9f\u884c\u7d50\u679c\u3011<\/strong><\/p>\n\n\n\n
[[[0. 0. 0. 0. 0.]\n  [0. 0. 0. 0. 0.]\n  [0. 0. 0. 0. 0.]]\n\n [[0. 0. 0. 0. 0.]\n  [0. 0. 0. 0. 0.]\n  [0. 0. 0. 0. 0.]]]<\/code><\/pre><\/div>\n\n\n\n
\u3053\u306e\u3088\u3046\u306b\u3001\u57fa\u672c\u7684\u306b\u306f\u914d\u5217\u306e\u5927\u304d\u3055\u3092\u6307\u5b9a\u3059\u308b\u3060\u3051\u3067\u7c21\u5358\u306b\u4f5c\u6210\u3068\u521d\u671f\u5316\u3092\u540c\u6642\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u8981\u7d20\u306e\u578b\u3092\u6307\u5b9a\u3057\u3066\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b<\/h3>\n\n\n\n
\u524d\u8ff0\u306e\u901a\u308a\u3001\u4f5c\u6210\u3055\u308c\u308b\u914d\u5217\u306e\u8981\u7d20\u306e\u578b\u306f\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f float64 \u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002
\u4ed6\u306e\u578b\u3067\u8981\u7d20\u3092\u683c\u7d0d\u3057\u305f\u3044\u5834\u5408\u306f\u3001\u5f15\u6570\u306e dtype \u306b\u4efb\u610f\u306e\u578b\u3092\u6307\u5b9a\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u3010\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3011<\/strong><\/p>\n\n\n\n
import numpy as np\n\nsampleIntArray = np.zeros((3, 5), dtype=int)\n\nprint(sampleIntArray)<\/code><\/pre><\/div>\n\n\n\n
\u3010\u5b9f\u884c\u7d50\u679c\u3011<\/strong><\/p>\n\n\n\n
[[0 0 0 0 0]\n [0 0 0 0 0]\n [0 0 0 0 0]]<\/code><\/pre><\/div>\n\n\n\n
\u6307\u5b9a\u3059\u308b\u578b\u306b\u306f\u3001\u6570\u5024\u4ee5\u5916\u306b\u3082\u771f\u507d\u5024 (bool) \u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002
\u771f\u507d\u5024\u306e\u5834\u5408\u306f\u3001False \u3067\u57cb\u3081\u3089\u308c\u305f\u914d\u5217\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059\u3002
\uff08\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3067\u306f\u57fa\u672c\u7684\u306b 0 \u3092 False\u30011 \u3092 True \u3068\u3057\u3066\u6271\u3046\u305f\u3081\uff09<\/p>\n\n\n\n
\u3010\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3011<\/strong><\/p>\n\n\n\n
import numpy as np\n\nsampleBoolArray = np.zeros((3, 5), dtype=bool)\n\nprint(sampleBoolArray)<\/code><\/pre><\/div>\n\n\n\n
\u3010\u5b9f\u884c\u7d50\u679c\u3011<\/strong><\/p>\n\n\n\n
[[False False False False False]\n [False False False False False]\n [False False False False False]]<\/code><\/pre><\/div>\n\n\n\n
\u5225\u306e\u914d\u5217\u3068\u540c\u4e00\u306eshape\u3092\u6301\u3064\u521d\u671f\u5316\u914d\u5217\u3092\u4f5c\u308bnp.zeros_like<\/h3>\n\n\n\n
Numpy\u306b\u306f\u3001zeros\u95a2\u6570\u3068\u4f3c\u305f\u6a5f\u80fd\u3092\u6301\u3064 zeros_like\u95a2\u6570\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u914d\u5217\u306e\u8981\u7d20\u306e\u5024\u3092\uff10\u3067\u521d\u671f\u5316\u3057\u3066\u304f\u308c\u308b\u70b9\u306f\u540c\u3058\u3067\u3059\u304c\u3001zeros\u95a2\u6570\u304c\u4efb\u610f\u306e\u5f62\u72b6\u3092\u6307\u5b9a\u3057\u3066\u914d\u5217\u3092\u4f5c\u6210\u3059\u308b\u306e\u306b\u5bfe\u3057\u3001zeros_like\u95a2\u6570\u306f\u65e2\u5b58\u306e\u914d\u5217\u3068\u540c\u3058\u5f62\u72b6\u306e\u914d\u5217\u3092\u65b0\u305f\u306b\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u4ee5\u4e0b\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3067\u52d5\u304d\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u3010\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3011<\/strong><\/p>\n\n\n\n
import numpy as np\n\nsampleArray = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\n\nresultArray = np.zeros_like(sampleArray)\n\nprint(sampleArray)\nprint(resultArray)<\/code><\/pre><\/div>\n\n\n\n
\u3010\u5b9f\u884c\u7d50\u679c\u3011<\/strong><\/p>\n\n\n\n
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]\n[[0 0 0]\n [0 0 0]\n [0 0 0]]<\/code><\/pre><\/div>\n\n\n\n
\u7d50\u679c\u3092\u898b\u308b\u3068\u3001\u5f15\u6570\u306b\u6307\u5b9a\u3057\u305f\u914d\u5217\u3068\u540c\u3058\u5927\u304d\u3055\u3068\u578b\u3067\u3001\u65b0\u305f\u306b\u914d\u5217\u304c\u4f5c\u6210\u3055\u308c\u3066\u3044\u308b\u306e\u304c\u5206\u304b\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u914d\u5217\u306e\u5927\u304d\u3055\u3092\u5909\u66f4\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u304c\u3001\u8981\u7d20\u306e\u578b\u306b\u95a2\u3057\u3066\u306f zeros\u95a2\u6570\u3068\u540c\u69d8\u306b dtype\u3067\u4efb\u610f\u306e\u578b\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u3010\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3011<\/strong><\/p>\n\n\n\n
import numpy as np\n\nsampleArray = [1, 2, 3, 4, 5]\n\nresultArray = np.zeros_like(sampleArray, dtype=bool)\n\nprint(sampleArray)\nprint(resultArray)<\/code><\/pre><\/div>\n\n\n\n
\u3010\u5b9f\u884c\u7d50\u679c\u3011<\/strong><\/p>\n\n\n\n
[1, 2, 3, 4, 5]\n[False False False False False]<\/code><\/pre><\/div>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u3044\u304b\u304c\u3067\u3057\u305f\u304b\uff1f\u4eca\u56de\u306f\u3001zeros\u95a2\u6570\u306e\u4f7f\u3044\u65b9\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
NumPy\u306f\u3001\u6570\u5024\u8a08\u7b97\u3092\u884c\u3046\u4e0a\u3067\u975e\u5e38\u306b\u5f79\u7acb\u3064\u4fbf\u5229\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002
zeros\u95a2\u6570\u3092\u542b\u3080\u69d8\u3005\u306a\u6a5f\u80fd\u306b\u3064\u3044\u3066\u3001\u6271\u3044\u65b9\u306b\u6163\u308c\u3066\u304a\u304f\u3053\u3068\u3092\u30aa\u30b9\u30b9\u30e1\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
Python\u306e\u52c9\u5f37\u65b9\u6cd5\u306f\uff1f<\/h2>\n\n\n
\u66f8\u7c4d\u3084\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u3067\u5b66\u7fd2\u3059\u308b\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002\u6628\u4eca\u3067\u306f\u3001YouTube\u306a\u3069\u306e\u52d5\u753b\u30b5\u30a4\u30c8\u3084\u30a8\u30f3\u30b8\u30cb\u30a2\u306e\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30b5\u30a4\u30c8\u306a\u3069\u3082\u5145\u5b9f\u3057\u3066\u3044\u3066\u591a\u304f\u306e\u60c5\u5831\u304c\u624b\u306b\u5165\u308a\u307e\u3059\u3002
\u305d\u3057\u3066\u3001\u3088\u308a\u52b9\u7387\u7684\u306b\u77e5\u8b58\u30fb\u30b9\u30ad\u30eb\u3092\u7fd2\u5f97\u3059\u308b\u306b\u306f\u3001\u77e5\u8b58\u3092\u3064\u3051\u306a\u304c\u3089\u5b9f\u969b\u306b\u624b\u3092\u52d5\u304b\u3057\u3066\u307f\u308b\u306a\u3069\u3001\u30a4\u30f3\u30d7\u30c3\u30c8\u3068\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3092\u7e70\u308a\u8fd4\u3057\u3066\u3044\u304f\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002\u7279\u306b\u72ec\u5b66\u306e\u5834\u5408\u306f\u3001\u6709\u8b58\u8005\u306b\u8cea\u554f\u304c\u3067\u304d\u305f\u308a\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u3082\u3089\u3048\u308b\u3088\u3046\u306a\u74b0\u5883\u304c\u3042\u308b\u3068\u3001\u7406\u89e3\u5ea6\u304c\u6df1\u307e\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n
\u305f\u3060\u3001Python\u306b\u9650\u3089\u305a\u3001IT\u30b9\u30ad\u30eb\u3092\u8eab\u306b\u3064\u3051\u308b\u969b\u3001\u3069\u3046\u3057\u3066\u3082\u8ab2\u984c\u306b\u3076\u3064\u304b\u3063\u3066\u3057\u307e\u3046\u3053\u3068\u306f\u3042\u308a\u307e\u3059\u3088\u306d\u3002\u7279\u306b\u72ec\u5b66\u3060\u3068\u3001\u308f\u304b\u3089\u306a\u3044\u90e8\u5206\u3092\u30d7\u30ed\u306b\u8cea\u554f\u3067\u304d\u308b\u6a5f\u4f1a\u3092\u78ba\u4fdd\u3057\u306b\u304f\u304f\u3001\u30e2\u30c1\u30d9\u30fc\u30b7\u30e7\u30f3\u304c\u7d9a\u304d\u306b\u304f\u3044\u3068\u3044\u3046\u5074\u9762\u304c\u3042\u308a\u307e\u3059\u3002\u72ec\u5b66\u3067\u30e2\u30c1\u30d9\u30fc\u30b7\u30e7\u30f3\u3092\u7dad\u6301\u3059\u308b\u81ea\u4fe1\u304c\u306a\u3044\u4eba\u306b\u306f\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\u3068\u3044\u3046\u624b\u3082\u3042\u308a\u307e\u3059\u3002\u8cbb\u7528\u306f\u639b\u304b\u308a\u307e\u3059\u304c\u3001\u305d\u306e\u5206\u30b9\u30ad\u30eb\u3092\u8eab\u306b\u3064\u3051\u3084\u3059\u3044\u3067\u3059\u3002\u3057\u3063\u304b\u308a\u3068\u77e5\u8b58\u30fb\u30b9\u30ad\u30eb\u3092\u7fd2\u5f97\u3057\u3066\u5b9f\u8df5\u306b\u6d3b\u304b\u3057\u305f\u3044\u3068\u3044\u3046\u4eba\u306f\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\u304c\u304a\u3059\u3059\u3081\u3067\u3059\u3002<\/p>\n
\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\u306a\u3089\u30c6\u30c3\u30af\u30de\u30cb\u30a2\u304c\u304a\u3059\u3059\u3081\uff01<\/strong><\/span><\/p>\n\n\n\n\n\n
IT\u30b9\u30ad\u30eb\u9700\u8981\u306e\u9ad8\u307e\u308a\u3068\u3068\u3082\u306b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\u3082\u5897\u3048\u307e\u3057\u305f\u3002\u3057\u304b\u3057\u3001\u3069\u306e\u30b9\u30af\u30fc\u30eb\u306b\u901a\u3046\u3079\u304d\u304b\u8ff7\u3063\u3066\u3057\u307e\u3046\u4eba\u3082\u3044\u308b\u3067\u3057\u3087\u3046\u3002\u305d\u3093\u306a\u65b9\u306b\u306f\u30c6\u30c3\u30af\u30de\u30cb\u30a2\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\uff01\u3053\u308c\u307e\u3067\u591a\u304f\u306eIT\u30a8\u30f3\u30b8\u30cb\u30a2\u3092\u80b2\u6210\u30fb\u8f29\u51fa\u3057\u3066\u304d\u305f\u30c6\u30c3\u30af\u30de\u30cb\u30a2\u3067\u3082\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\u3092\u958b\u8b1b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n
\n
\uff1c\u30c6\u30c3\u30af\u30de\u30cb\u30a2\u306e\u7279\u5fb4\uff1e<\/strong>
\u30fb\u305f\u3057\u304b\u306a\u80b2\u6210\u5b9f\u7e3e\u3068\u89aa\u8eab\u306a\u6559\u80b2\u3000\uff5e\u30bb\u30ab\u30f3\u30c9\u30ad\u30e3\u30ea\u30a2\u3092\u5168\u529b\u652f\u63f4\uff5e<\/strong>
\u30fb\u8b1b\u5e2b\u304c\u73fe\u5f79\u30a8\u30f3\u30b8\u30cb\u30a2\u3000\uff5e\u201c\u672c\u5f53\u201d\u306e\u958b\u767a\u30ce\u30a6\u30cf\u30a6\u3092\u76f4\u306b\u5b66\u3079\u308b\uff5e<\/strong>
\u30fb\u5c02\u5c5e\u8b1b\u5e2b\u304c\u5b66\u7fd2\u3092\u5fb9\u5e95\u30b5\u30dd\u30fc\u30c8\u3000\uff5e\u300c\u308f\u304b\u3089\u306a\u3044\u300d\u3092\u5fb9\u5e95\u89e3\u6c7a\uff5e<\/strong>
\u30fb\u5b9f\u52d9\u30d9\u30fc\u30b9\u3067\u30b9\u30ad\u30eb\u3092\u7fd2\u5f97\u3000\uff5e\u5b9f\u8df5\u7684\u306a\u51dd\u7e2e\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\uff5e<\/strong><\/p>\n<\/div>\n
\u3053\u306e\u3088\u3046\u306a\u7279\u5fb4\u3092\u6301\u3064\u30c6\u30c3\u30af\u30de\u30cb\u30a2\u306fIT\u30a8\u30f3\u30b8\u30cb\u30a2\u306e\u30b9\u30bf\u30fc\u30c8\u30e9\u30a4\u30f3\u3068\u3057\u3066\u6700\u9069\u3067\u3059\u3002
\u8a71\u3092\u805e\u304d\u305f\u3044\u30fb\u8a73\u3057\u304f\u77e5\u308a\u305f\u3044\u3068\u3044\u3046\u65b9\u306f\u3053\u3061\u3089<\/a>\u304b\u3089\u304a\u6c17\u8efd\u306b\u304a\u554f\u3044\u5408\u308f\u305b\u304f\u3060\u3055\u3044\u3002<\/p>","protected":false},"excerpt":{"rendered":"Python\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\uff11\u3064\u3067\u3042\u308bNumPy\u306b\u306f\u3001\u914d\u5217\u3092\u521d\u671f\u5316\u3059\u308b\u305f\u3081\u306e\u95a2\u6570\u304c\u3044\u304f\u3064\u304b\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002 \u4eca\u56de\u306f\u305d\u306e\u4e2d\u304b\u3089\u3001\u914d\u5217\u306e\u5168\u8981\u7d20\u306e\u5024\u3092\uff10\u3067\u521d\u671f\u5316\u3059\u308b \u300czeros\u95a2\u6570\u300d \u306b\u3064\u3044\u3066\u3001\u8a73\u3057\u3044\u4f7f\u3044\u65b9\u3092\u89e3\u8aac\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 \u914d\u5217\u306e\u5024\u30920\u3067\u521d\u671f\u5316\u3059\u308b\u610f\u5473\u30fb\u30e1\u30ea\u30c3\u30c8 Numpy\u306f\u3001Python\u3067\u306e\u6570\u5024\u8a08\u7b97\u3092\u52b9\u7387\u3088\u304f\u884c\u3048\u308b\u3088\u3046\u306b\u3057\u3066\u304f\u308c\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3042\u308a\u3001\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3046\u969b\u306b\u306f\u6b20 […]","protected":false},"author":11,"featured_media":9574,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-9569","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-programming"],"_links":{"self":[{"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/posts\/9569","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/comments?post=9569"}],"version-history":[{"count":5,"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/posts\/9569\/revisions"}],"predecessor-version":[{"id":9578,"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/posts\/9569\/revisions\/9578"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/media\/9574"}],"wp:attachment":[{"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/media?parent=9569"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/categories?post=9569"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techmania.jp\/blog\/wp-json\/wp\/v2\/tags?post=9569"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}