{"id":45477,"date":"2025-08-14T13:54:57","date_gmt":"2025-08-14T04:54:57","guid":{"rendered":"https:\/\/techgym.jp\/?p=45477"},"modified":"2025-08-14T13:55:01","modified_gmt":"2025-08-14T04:55:01","slug":"numpy-slice","status":"publish","type":"post","link":"https:\/\/techgym.jp\/column\/numpy-slice\/","title":{"rendered":"NumPy\u914d\u5217\u306e\u30b9\u30e9\u30a4\u30b9\u5fb9\u5e95\u89e3\u8aac\uff1a\u90e8\u5206\u914d\u5217\u306e\u9078\u629e\u3068\u52b9\u7387\u7684\u306a\u4ee3\u5165"},"content":{"rendered":"\n

\n

\u00a0<\/p>\n

\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3084\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3044\u3066\u3001NumPy\u914d\u5217\uff08ndarray\uff09<\/b> \u306e\u64cd\u4f5c\u306f\u975e\u5e38\u306b\u91cd\u8981\u3067\u3059\u3002\u7279\u306b\u3001\u914d\u5217\u306e\u7279\u5b9a\u306e\u90e8\u5206\u3092\u53d6\u308a\u51fa\u3057\u305f\u308a\u3001\u307e\u3068\u3081\u3066\u5024\u3092\u5909\u66f4\u3057\u305f\u308a\u3059\u308b\u969b\u306b\u306f\u3001\u30b9\u30e9\u30a4\u30b9<\/b>\u304c\u4e0d\u53ef\u6b20\u306a\u30c6\u30af\u30cb\u30c3\u30af\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001NumPy\u914d\u5217\u306b\u304a\u3051\u308b\u30b9\u30e9\u30a4\u30b9\u3092\u7528\u3044\u305f\u90e8\u5206\u914d\u5217\u306e\u9078\u629e\u65b9\u6cd5\u3068\u3001\u52b9\u7387\u7684\u306a\u5024\u306e\u4ee3\u5165\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n

\n

\u00a0<\/p>\n

NumPy\u30b9\u30e9\u30a4\u30b9\u3068\u306f\uff1f<\/h2>\n

\u00a0<\/p>\n

NumPy\u306e\u30b9\u30e9\u30a4\u30b9\u306f\u3001Python\u306e\u30ea\u30b9\u30c8\u306e\u30b9\u30e9\u30a4\u30b9\u306b\u4f3c\u3066\u3044\u307e\u3059\u304c\u3001\u591a\u6b21\u5143\u914d\u5217\u306b\u9069\u7528\u3067\u304d\u308b\u70b9\u304c\u5927\u304d\u304f\u7570\u306a\u308a\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u914d\u5217\u304b\u3089\u7279\u5b9a\u306e\u884c\u3001\u5217\u3001\u307e\u305f\u306f\u4efb\u610f\u306e\u77e9\u5f62\u9818\u57df<\/b>\u3092\u67d4\u8edf\u306b\u62bd\u51fa\u3067\u304d\u307e\u3059\u3002\u30b9\u30e9\u30a4\u30b9\u306e\u57fa\u672c\u5f62\u5f0f\u306f [\u958b\u59cb\u30a4\u30f3\u30c7\u30c3\u30af\u30b9:\u7d42\u4e86\u30a4\u30f3\u30c7\u30c3\u30af\u30b9:\u30b9\u30c6\u30c3\u30d7]<\/code> \u3067\u3001\u7d42\u4e86\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u7bc4\u56f2\u306b\u542b\u307e\u308c\u307e\u305b\u3093\u3002<\/p>\n

\u00a0<\/p>\n

\u57fa\u672c\u7684\u306a\u30b9\u30e9\u30a4\u30b9\u306e\u4f7f\u3044\u65b9<\/h3>\n

\u00a0<\/p>\n

\u307e\u305a\u306f\u4e00\u6b21\u5143\u914d\u5217\u3067\u30b9\u30e9\u30a4\u30b9\u306e\u57fa\u672c\u3092\u78ba\u8a8d\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n

\n
Python<\/span>\n
\u00a0<\/div>\n<\/div>\n
\n
\n
import<\/span> numpy as<\/span> np\n\narr = np.array([0<\/span>, 10<\/span>, 20<\/span>, 30<\/span>, 40<\/span>, 50<\/span>, 60<\/span>, 70<\/span>, 80<\/span>, 90<\/span>])\n\n# \u30a4\u30f3\u30c7\u30c3\u30af\u30b92\u304b\u30895\u307e\u3067\uff085\u306f\u542b\u307e\u306a\u3044\uff09<\/span>\nsub_arr1 = arr[2<\/span>:5<\/span>]\nprint(f\"2\u304b\u30895\u307e\u3067: {sub_arr1}<\/span>\"<\/span>) # \u51fa\u529b: [20 30 40]<\/span>\n\n# \u6700\u521d\u304b\u3089\u30a4\u30f3\u30c7\u30c3\u30af\u30b94\u307e\u3067<\/span>\nsub_arr2 = arr[:5<\/span>]\nprint(f\"\u6700\u521d\u304b\u30895\u307e\u3067: {sub_arr2}<\/span>\"<\/span>) # \u51fa\u529b: [0 10 20 30 40]<\/span>\n\n# \u30a4\u30f3\u30c7\u30c3\u30af\u30b95\u304b\u3089\u6700\u5f8c\u307e\u3067<\/span>\nsub_arr3 = arr[5<\/span>:]\nprint(f\"5\u304b\u3089\u6700\u5f8c\u307e\u3067: {sub_arr3}<\/span>\"<\/span>) # \u51fa\u529b: [50 60 70 80 90]<\/span>\n\n# 2\u3064\u98db\u3070\u3057\u3067\u53d6\u5f97<\/span>\nsub_arr4 = arr[::2<\/span>]\nprint(f\"2\u3064\u98db\u3070\u3057: {sub_arr4}<\/span>\"<\/span>) # \u51fa\u529b: [ 0 20 40 60 80]<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n
\n
\u00a0<\/p>\n
\u591a\u6b21\u5143NumPy\u914d\u5217\u306e\u30b9\u30e9\u30a4\u30b9<\/h2>\n
\u00a0<\/p>\n
NumPy\u914d\u5217\u306e\u771f\u4fa1\u306f\u3001\u591a\u6b21\u5143\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u30b9\u30e9\u30a4\u30b9\u3067\u767a\u63ee\u3055\u308c\u307e\u3059\u3002\u5404\u6b21\u5143\u306b\u5bfe\u3057\u3066\u500b\u5225\u306b\u30b9\u30e9\u30a4\u30b9\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002<\/p>\n
\u00a0<\/p>\n
\u7279\u5b9a\u306e\u884c\u30fb\u5217\u306e\u9078\u629e<\/h3>\n
\u00a0<\/p>\n
:<\/code> (\u30b3\u30ed\u30f3) \u3092\u5358\u72ec\u3067\u4f7f\u3046\u3068\u3001\u300c\u305d\u306e\u6b21\u5143\u306e\u3059\u3079\u3066\u300d\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n
\n
Python<\/span>\n
\u00a0<\/div>\n<\/div>\n
\n
\n
import<\/span> numpy as<\/span> np\n\narr_2d = np.array([[10<\/span>, 20<\/span>, 30<\/span>],\n                   [40<\/span>, 50<\/span>, 60<\/span>],\n                   [70<\/span>, 80<\/span>, 90<\/span>]])\n\n# 1\u884c\u76ee\u5168\u4f53\u3092\u53d6\u5f97 (\u30a4\u30f3\u30c7\u30c3\u30af\u30b90\u304b\u3089\u59cb\u307e\u308b)<\/span>\nrow_1 = arr_2d[0<\/span>, :]\nprint(f\"1\u884c\u76ee: {row_1}<\/span>\"<\/span>) # \u51fa\u529b: [10 20 30]<\/span>\n\n# 2\u5217\u76ee\u5168\u4f53\u3092\u53d6\u5f97 (\u30a4\u30f3\u30c7\u30c3\u30af\u30b90\u304b\u3089\u59cb\u307e\u308b)<\/span>\ncol_2 = arr_2d[:, 1<\/span>]\nprint(f\"2\u5217\u76ee: {col_2}<\/span>\"<\/span>) # \u51fa\u529b: [20 50 80]<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n
\u00a0<\/p>\n
\u90e8\u5206\u914d\u5217\uff08\u30b5\u30d6\u30a2\u30ec\u30a4\uff09\u306e\u9078\u629e<\/h3>\n
\u00a0<\/p>\n
\u8907\u6570\u306e\u6b21\u5143\u306b\u30b9\u30e9\u30a4\u30b9\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u914d\u5217\u306e\u4efb\u610f\u306e\u77e9\u5f62\u90e8\u5206\u3092\u62bd\u51fa\u3067\u304d\u307e\u3059\u3002<\/p>\n
\n
Python<\/span>\n
\u00a0<\/div>\n<\/div>\n
\n
\n
import<\/span> numpy as<\/span> np\n\narr_2d = np.array([[1<\/span>, 2<\/span>, 3<\/span>, 4<\/span>],\n                   [5<\/span>, 6<\/span>, 7<\/span>, 8<\/span>],\n                   [9<\/span>, 10<\/span>, 11<\/span>, 12<\/span>]])\n\n# 1\u884c\u76ee\u304b\u30892\u884c\u76ee\u3001\u304b\u30642\u5217\u76ee\u304b\u30893\u5217\u76ee\u306e\u90e8\u5206\u914d\u5217<\/span>\nsub_arr = arr_2d[0<\/span>:2<\/span>, 1<\/span>:3<\/span>]\nprint(f\"\u90e8\u5206\u914d\u5217:\\n{sub_arr}<\/span>\"<\/span>)\n# \u51fa\u529b:<\/span>\n# [[2 3]<\/span>\n#  [6 7]]<\/span>\n\n# \u6700\u5f8c\u306e\u884c\u3068\u5217\u3092\u53d6\u5f97<\/span>\nlast_row_col = arr_2d[-1<\/span>, -1<\/span>]\nprint(f\"\u6700\u5f8c\u306e\u8981\u7d20: {last_row_col}<\/span>\"<\/span>) # \u51fa\u529b: 12<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n
\n
\u00a0<\/p>\n
\u30b9\u30e9\u30a4\u30b9\u306b\u3088\u308b\u90e8\u5206\u914d\u5217\u3078\u306e\u4ee3\u5165<\/h2>\n
\u00a0<\/p>\n
NumPy\u306e\u30b9\u30e9\u30a4\u30b9\u306e\u5f37\u529b\u306a\u6a5f\u80fd\u306e\u4e00\u3064\u306f\u3001\u62bd\u51fa\u3057\u305f\u90e8\u5206\u914d\u5217\u306b\u5bfe\u3057\u3066\u76f4\u63a5\u5024\u3092\u4ee3\u5165\u3067\u304d\u308b\u70b9\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u914d\u5217\u306e\u4e00\u90e8\u3092\u4e00\u62ec\u3067\u5909\u66f4\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u00a0<\/p>\n
\u5358\u4e00\u306e\u5024\u3092\u4ee3\u5165<\/h3>\n
\u00a0<\/p>\n
\n
Python<\/span>\n
\u00a0<\/div>\n<\/div>\n
\n
\n
import<\/span> numpy as<\/span> np\n\narr = np.array([[1<\/span>, 2<\/span>, 3<\/span>],\n                [4<\/span>, 5<\/span>, 6<\/span>],\n                [7<\/span>, 8<\/span>, 9<\/span>]])\n\n# 1\u884c\u76ee\u5168\u4f53\u30920\u306b\u4ee3\u5165<\/span>\narr[0<\/span>, :] = 0<\/span>\nprint(f\"1\u884c\u76ee\u30920\u306b\u4ee3\u5165\u5f8c:\\n{arr}<\/span>\"<\/span>)\n# \u51fa\u529b:<\/span>\n# [[0 0 0]<\/span>\n#  [4 5 6]<\/span>\n#  [7 8 9]]<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n
\u00a0<\/p>\n
\u5225\u306e\u914d\u5217\u3092\u4ee3\u5165<\/h3>\n
\u00a0<\/p>\n
\u4ee3\u5165\u3059\u308b\u914d\u5217\u306e\u5f62\u72b6\u304c\u3001\u30b9\u30e9\u30a4\u30b9\u3067\u9078\u629e\u3057\u305f\u90e8\u5206\u914d\u5217\u306e\u5f62\u72b6\u3068\u4e00\u81f4\u3057\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
\n
Python<\/span>\n
\u00a0<\/div>\n<\/div>\n
\n
\n
import<\/span> numpy as<\/span> np\n\narr = np.array([[1<\/span>, 2<\/span>, 3<\/span>, 4<\/span>],\n                [5<\/span>, 6<\/span>, 7<\/span>, 8<\/span>],\n                [9<\/span>, 10<\/span>, 11<\/span>, 12<\/span>]])\n\n# 2\u884c\u76ee\u30683\u884c\u76ee\u306e2,3\u5217\u76ee\u306b\u65b0\u3057\u3044\u5024\u3092\u4ee3\u5165<\/span>\narr[1<\/span>:3<\/span>, 1<\/span>:3<\/span>] = np.array([[99<\/span>, 88<\/span>],\n                          [77<\/span>, 66<\/span>]])\nprint(f\"\u90e8\u5206\u4ee3\u5165\u5f8c\u306e\u914d\u5217:\\n{arr}<\/span>\"<\/span>)\n# \u51fa\u529b:<\/span>\n# [[ 1,  2,  3,  4],<\/span>\n#  [ 5, 99, 88,  8],<\/span>\n#  [ 9, 77, 66, 12]]<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n
\n
\u00a0<\/p>\n
\u30b9\u30e9\u30a4\u30b9\u306e\u300c\u30d3\u30e5\u30fc\u300d\u3068\u300c\u30b3\u30d4\u30fc\u300d\u306b\u6ce8\u610f<\/h2>\n
\u00a0<\/p>\n
NumPy\u306e\u30b9\u30e9\u30a4\u30b9\u306f\u3001\u901a\u5e38\u3001\u5143\u306e\u914d\u5217\u306e\u30d3\u30e5\u30fc\uff08view\uff09<\/b> \u3092\u8fd4\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u30b9\u30e9\u30a4\u30b9\u3055\u308c\u305f\u90e8\u5206\u914d\u5217\u3092\u5909\u66f4\u3059\u308b\u3068\u3001\u5143\u306e\u914d\u5217\u3082\u5909\u66f4\u3055\u308c\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u89b3\u70b9\u304b\u3089\u306f\u52b9\u7387\u7684\u3067\u3059\u304c\u3001\u610f\u56f3\u3057\u306a\u3044\u30c7\u30fc\u30bf\u5909\u66f4\u306b\u3064\u306a\u304c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u306e\u3067\u6ce8\u610f\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n
\u00a0<\/p>\n
\u30d3\u30e5\u30fc\u306e\u6319\u52d5<\/h3>\n
\u00a0<\/p>\n
\n
Python<\/span>\n
\u00a0<\/div>\n<\/div>\n
\n
\n
import<\/span> numpy as<\/span> np\n\narr = np.array([1<\/span>, 2<\/span>, 3<\/span>, 4<\/span>, 5<\/span>])\nview_arr = arr[1<\/span>:4<\/span>] # \u30d3\u30e5\u30fc\u3092\u4f5c\u6210<\/span>\n\nview_arr[0<\/span>] = 99<\/span> # \u30d3\u30e5\u30fc\u306e\u8981\u7d20\u3092\u5909\u66f4<\/span>\nprint(f\"\u5143\u306e\u914d\u5217: {arr}<\/span>\"<\/span>) # \u51fa\u529b: \u5143\u306e\u914d\u5217: [ 1 99  3  4  5]<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n
\u00a0<\/p>\n
\u660e\u793a\u7684\u306b\u30b3\u30d4\u30fc\u3092\u4f5c\u6210\u3059\u308b<\/h3>\n
\u00a0<\/p>\n
\u5143\u306e\u914d\u5217\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u305a\u306b\u30b9\u30e9\u30a4\u30b9\u3055\u308c\u305f\u90e8\u5206\u3092\u64cd\u4f5c\u3057\u305f\u3044\u5834\u5408\u306f\u3001copy()<\/code> \u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3063\u3066\u660e\u793a\u7684\u306b\u30b3\u30d4\u30fc\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n
\n
Python<\/span>\n
\u00a0<\/div>\n<\/div>\n
\n
\n
import<\/span> numpy as<\/span> np\n\narr = np.array([1<\/span>, 2<\/span>, 3<\/span>, 4<\/span>, 5<\/span>])\ncopied_arr = arr[1<\/span>:4<\/span>].copy() # \u30b3\u30d4\u30fc\u3092\u4f5c\u6210<\/span>\n\ncopied_arr[0<\/span>] = 99<\/span> # \u30b3\u30d4\u30fc\u306e\u8981\u7d20\u3092\u5909\u66f4<\/span>\nprint(f\"\u5143\u306e\u914d\u5217: {arr}<\/span>\"<\/span>)     # \u51fa\u529b: \u5143\u306e\u914d\u5217: [1 2 3 4 5] (\u5909\u66f4\u306a\u3057)<\/span>\nprint(f\"\u30b3\u30d4\u30fc\u914d\u5217: {copied_arr}<\/span>\"<\/span>) # \u51fa\u529b: \u30b3\u30d4\u30fc\u914d\u5217: [99  3  4]<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n
\n
\u00a0<\/p>\n
\u307e\u3068\u3081<\/h2>\n
\u00a0<\/p>\n
NumPy\u914d\u5217\u306e\u30b9\u30e9\u30a4\u30b9\u306f\u3001\u30c7\u30fc\u30bf\u64cd\u4f5c\u306e\u57fa\u672c\u3067\u3042\u308a\u306a\u304c\u3089\u975e\u5e38\u306b\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3067\u3059\u3002\u5358\u4e00\u306e\u8981\u7d20\u304b\u3089\u8907\u96d1\u306a\u90e8\u5206\u914d\u5217\u307e\u3067\u67d4\u8edf\u306b\u9078\u629e\u3057\u3001\u52b9\u7387\u7684\u306b\u5024\u3092\u4ee3\u5165\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u30d3\u30e5\u30fc\u3068\u30b3\u30d4\u30fc\u306e\u6982\u5ff5\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u306f\u3001\u4e88\u671f\u305b\u306c\u30d0\u30b0\u3092\u9632\u304e\u3001\u3088\u308a\u5805\u7262\u306a\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u4e0a\u3067\u4e0d\u53ef\u6b20\u3067\u3059\u3002\u3053\u308c\u3089\u306e\u30c6\u30af\u30cb\u30c3\u30af\u3092\u7fd2\u5f97\u3057\u3066\u3001\u3042\u306a\u305f\u306e\u30c7\u30fc\u30bf\u5206\u6790\u30b9\u30ad\u30eb\u3092\u3055\u3089\u306b\u5411\u4e0a\u3055\u305b\u307e\u3057\u3087\u3046\uff01<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
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