{"id":2018,"date":"2023-07-24T01:29:42","date_gmt":"2023-07-24T01:29:42","guid":{"rendered":"https:\/\/statorials.org\/ja\/numpy-ndarray-%e3%82%aa%e3%83%95%e3%82%99%e3%82%b7%e3%82%99%e3%82%a7%e3%82%af%e3%83%88%e3%81%ab%e3%81%af%e8%bf%bd%e5%8a%a0%e5%b1%9e%e6%80%a7%e3%81%8b%e3%82%99%e3%81%82%e3%82%8a%e3%81%be%e3%81%9b\/"},"modified":"2023-07-24T01:29:42","modified_gmt":"2023-07-24T01:29:42","slug":"numpy-ndarray-%e3%82%aa%e3%83%95%e3%82%99%e3%82%b7%e3%82%99%e3%82%a7%e3%82%af%e3%83%88%e3%81%ab%e3%81%af%e8%bf%bd%e5%8a%a0%e5%b1%9e%e6%80%a7%e3%81%8b%e3%82%99%e3%81%82%e3%82%8a%e3%81%be%e3%81%9b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/numpy-ndarray-%e3%82%aa%e3%83%95%e3%82%99%e3%82%b7%e3%82%99%e3%82%a7%e3%82%af%e3%83%88%e3%81%ab%e3%81%af%e8%bf%bd%e5%8a%a0%e5%b1%9e%e6%80%a7%e3%81%8b%e3%82%99%e3%81%82%e3%82%8a%e3%81%be%e3%81%9b\/","title":{"rendered":"\u4fee\u6b63\u65b9\u6cd5: \u300cnumpy.ndarray\u300d\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u306f\u300cappend\u300d\u5c5e\u6027\u304c\u3042\u308a\u307e\u305b\u3093"},"content":{"rendered":"

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NumPy \u306e\u4f7f\u7528\u6642\u306b\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u30a8\u30e9\u30fc\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n

 AttributeError: 'numpy.ndarray' object has no attribute 'append'\n<\/strong><\/pre>\n
\u3053\u306e\u30a8\u30e9\u30fc\u306f\u3001\u6a19\u6e96\u306e Python append()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 NumPy \u914d\u5217\u306e\u672b\u5c3e\u306b 1 \u3064\u4ee5\u4e0a\u306e\u5024\u3092\u8ffd\u52a0\u3057\u3088\u3046\u3068\u3059\u308b\u3068\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n
 NumPy \u306b\u306f\u8ffd\u52a0\u5c5e\u6027\u304c\u306a\u3044\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u30b9\u30ed\u30fc\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u3092\u4fee\u6b63\u3059\u308b\u306b\u306f\u3001\u4ee3\u308f\u308a\u306bnp.append()<\/strong>\u3092\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u30a8\u30e9\u30fc\u3092\u5b9f\u969b\u306b\u4fee\u6b63\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
\u30a8\u30e9\u30fc\u3092\u518d\u73fe\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n
\u6a19\u6e96\u306e Python append()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u914d\u5217\u306e\u672b\u5c3e\u306b\u65b0\u3057\u3044\u5024\u3092\u8ffd\u52a0\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\nx = np. array<\/span> ([1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23])\n\n#attempt to add the value '25' to end of NumPy array\n<\/span>x. append<\/span> (25)\n\n<\/span><\/span>AttributeError: 'numpy.ndarray' object has no attribute 'append'\n<\/strong><\/pre>\n
 NumPy \u306b\u306f\u8ffd\u52a0\u5c5e\u6027\u304c\u306a\u3044\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/span><\/p>\n
\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h3>\n
\u3053\u306e\u30a8\u30e9\u30fc\u3092\u4fee\u6b63\u3059\u308b\u306b\u306f\u3001\u4ee3\u308f\u308a\u306bnp.append()<\/strong>\u3092\u4f7f\u7528\u3059\u308b\u3060\u3051\u3067\u3059\u3002<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\nx = np. array<\/span> ([1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23])\n\n#append the value '25' to end of NumPy array\n<\/span>x = np. append<\/span> (x, 25)\n\n#view updated array<\/span>\nx\n\narray([ 1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23, 25])\n<\/span><\/span><\/strong><\/pre>\n
 np.append()<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001\u5024\u300c25\u300d\u3092\u914d\u5217\u306e\u672b\u5c3e\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u306b\u6210\u529f\u3057\u307e\u3057\u305f\u3002<\/span><\/p>\n
 NumPy \u914d\u5217\u3092\u5225\u306e NumPy \u914d\u5217\u306e\u672b\u5c3e\u306b\u8ffd\u52a0\u3059\u308b\u5834\u5408\u306f\u3001 np.concatenate()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u306e\u304c\u6700\u5584\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define two NumPy arrays\n<\/span>a = np. array<\/span> ([1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23])\nb = np. array<\/span> ([25, 26, 26, 29])\n\n#concatenate two arrays together\n<\/span>c = np. concatenate<\/span> ((a, b))\n\n#view resulting array\n<\/span>vs\n\narray([ 1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23, 25, 26, 26, 29])\n<\/strong><\/span><\/pre>\n
\u914d\u5217\u95a2\u6570\u3068\u9023\u7d50\u95a2\u6570\u306e\u8a73\u7d30\u306a\u8aac\u660e\u306b\u3064\u3044\u3066\u306f\u3001\u30aa\u30f3\u30e9\u30a4\u30f3 \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/span><\/p>\n