{"id":3299,"date":"2023-07-18T04:52:04","date_gmt":"2023-07-18T04:52:04","guid":{"rendered":"https:\/\/statorials.org\/ja\/numpy-%e3%82%ab%e3%82%a6%e3%83%b3%e3%83%88%e3%81%ae%e4%b8%80%e6%84%8f\/"},"modified":"2023-07-18T04:52:04","modified_gmt":"2023-07-18T04:52:04","slug":"numpy-%e3%82%ab%e3%82%a6%e3%83%b3%e3%83%88%e3%81%ae%e4%b8%80%e6%84%8f","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/numpy-%e3%82%ab%e3%82%a6%e3%83%b3%e3%83%88%e3%81%ae%e4%b8%80%e6%84%8f\/","title":{"rendered":"Numpy\u914d\u5217\u306e\u4e00\u610f\u306e\u5024\u3092\u6570\u3048\u308b\u65b9\u6cd5\uff083\u4f8b\uff09"},"content":{"rendered":"

<\/p>\n

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\u6b21\u306e\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u914d\u5217\u5185\u306e\u56fa\u6709\u306e\u5024\u3092\u30ab\u30a6\u30f3\u30c8\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u65b9\u6cd5 1: \u4e00\u610f\u306e\u5024\u3092\u8868\u793a\u3059\u308b<\/strong><\/span><\/p>\n

 n.p. single<\/span> (my_array)\n<\/strong><\/pre>\n
\u65b9\u6cd5 2: \u4e00\u610f\u306e\u5024\u306e\u6570\u3092\u6570\u3048\u308b<\/strong><\/span><\/p>\n
 len<\/span> (np. unique<\/span> (my_array))<\/strong><\/pre>\n
\u65b9\u6cd5 3: \u305d\u308c\u305e\u308c\u306e\u4e00\u610f\u306e\u5024\u306e\u51fa\u73fe\u3092\u30ab\u30a6\u30f3\u30c8\u3059\u308b<\/strong><\/span><\/p>\n
 n.p. unique<\/span> (my_array, return_counts= True<\/span> )<\/strong><\/pre>\n
\u6b21\u306e\u4f8b\u306f\u3001\u6b21\u306e NumPy \u914d\u5217\u3067\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
 import<\/span> numpy as<\/span> np\n\n#create NumPy array<\/span>\nmy_array = np. array<\/span> ([1, 3, 3, 4, 4, 7, 8, 8])\n<\/strong><\/pre>\n
\u4f8b 1: \u4e00\u610f\u306e\u5024\u3092\u8868\u793a\u3059\u308b<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001NumPy \u914d\u5217\u5185\u306e\u4e00\u610f\u306e\u5024\u3092\u8868\u793a\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #display unique values\n<\/span>n.p. single<\/span> (my_array)\n\narray([1, 3, 4, 7, 8])\n<\/span><\/span><\/strong><\/pre>\n
\u51fa\u529b\u304b\u3089\u3001NumPy \u914d\u5217\u5185\u306e\u305d\u308c\u305e\u308c\u306e\u4e00\u610f\u306e\u5024 (1\u30013\u30014\u30017\u30018) \u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 2: \u4e00\u610f\u306e\u5024\u306e\u6570\u3092\u6570\u3048\u308b<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001NumPy \u914d\u5217\u306e\u4e00\u610f\u306e\u5024\u306e\u5408\u8a08\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #display total number of unique values<\/span>\nlen<\/span> (np. unique<\/span> (my_array))\n\n5<\/strong><\/pre>\n
\u51fa\u529b\u304b\u3089\u3001NumPy \u914d\u5217\u306b\u306f5 \u3064\u306e<\/strong>\u4e00\u610f\u306e\u5024\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 3: \u305d\u308c\u305e\u308c\u306e\u4e00\u610f\u306e\u5024\u306e\u51fa\u73fe\u3092\u30ab\u30a6\u30f3\u30c8\u3057\u307e\u3059\u3002<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001NumPy \u914d\u5217\u5185\u306e\u5404\u4e00\u610f\u306e\u5024\u306e\u51fa\u73fe\u6570\u3092\u30ab\u30a6\u30f3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #count occurrences of each unique value\n<\/span>n.p. unique<\/span> (my_array, return_counts= True<\/span> )\n\n(array([1, 3, 4, 7, 8]), array([1, 2, 2, 1, 2]))\n<\/span><\/span><\/strong><\/pre>\n
\u51fa\u529b\u306e\u6700\u521d\u306e\u30c6\u30fc\u30d6\u30eb\u306b\u306f\u4e00\u610f\u306e\u5024\u304c\u8868\u793a\u3055\u308c\u30012 \u756a\u76ee\u306e\u30c6\u30fc\u30d6\u30eb\u306b\u306f\u5404\u4e00\u610f\u306e\u5024\u306e\u6570\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/span><\/p>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u3053\u306e\u51fa\u529b\u3092\u8aad\u307f\u3084\u3059\u3044\u5f62\u5f0f\u3067\u5370\u5237\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 #get unique values and counts of each value\n<\/span>unique, counts = np. unique<\/span> (my_array, return_counts= True<\/span> )\n\n#display unique values and counts side by side\n<\/span>print<\/span> ( np.asarray<\/span> ((unique,counts)). T<\/span> )\n\n[[1 1]\n [3 2]\n [4 2]\n [7 1]\n [8 2]]\n<\/span><\/span><\/strong><\/pre>\n
\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n