{"id":3834,"date":"2023-07-15T06:19:56","date_gmt":"2023-07-15T06:19:56","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%81%8d%e3%82%99%e3%81%93%e3%81%a1%e3%81%aa%e3%81%84%e3%83%aa%e3%83%bc%e3%82%bf%e3%82%99%e3%83%bc%e3%83%9b%e3%82%99%e3%83%bc%e3%83%88%e3%82%99\/"},"modified":"2023-07-15T06:19:56","modified_gmt":"2023-07-15T06:19:56","slug":"%e3%81%8d%e3%82%99%e3%81%93%e3%81%a1%e3%81%aa%e3%81%84%e3%83%aa%e3%83%bc%e3%82%bf%e3%82%99%e3%83%bc%e3%83%9b%e3%82%99%e3%83%bc%e3%83%88%e3%82%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%81%8d%e3%82%99%e3%81%93%e3%81%a1%e3%81%aa%e3%81%84%e3%83%aa%e3%83%bc%e3%82%bf%e3%82%99%e3%83%bc%e3%83%9b%e3%82%99%e3%83%bc%e3%83%88%e3%82%99\/","title":{"rendered":"Numpy \u914d\u5217\u5185\u306e\u8981\u7d20\u3092\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"

<\/p>\n

\n

\u6b21\u306e\u3044\u305a\u308c\u304b\u306e\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u914d\u5217\u5185\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u65b9\u6cd5 1: NumPy \u304b\u3089 argsort() \u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/p>\n

 import<\/span> numpy as<\/span> np\n\nranks = np. array<\/span> (my_array). argsort<\/span> (). argsort<\/span> ()\n<\/strong><\/span><\/pre>\n
\u65b9\u6cd5 2: SciPy \u306e Rankdata() \u3092\u4f7f\u7528\u3059\u308b<\/strong><\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata\n\nranks = rankdata(my_array)\n<\/b><\/span><\/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#define array of values\n<\/span>my_array = np. array<\/span> ([3, 5, 2, 1, 9, 9])\n\n#view array\n<\/span>print<\/span> (my_array)\n\n[3 5 2 1 9 9]<\/b><\/span><\/pre>\n
\u4f8b 1: argsort() \u3092\u4f7f\u7528\u3057\u3066 NumPy \u914d\u5217\u5185\u306e\u8981\u7d20\u3092\u4e26\u3079\u66ff\u3048\u308b<\/span><\/strong><\/h2>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001NumPy \u306eargsort()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u8981\u7d20\u3092\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #calculate rank of each item in array\n<\/span>ranks = np. array<\/span> (my_array). argsort<\/span> (). argsort<\/span> ()\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\n[2 3 1 0 4 5]\n<\/strong><\/span><\/pre>\n
\u7d50\u679c\u306b\u306f\u3001\u5143\u306e\u914d\u5217\u5185\u306e\u5404\u8981\u7d20\u306e\u30e9\u30f3\u30af\u304c\u8868\u793a\u3055\u308c\u3001 0<\/strong>\u304c\u6700\u4f4e\u5024\u3092\u8868\u3057\u307e\u3059\u3002<\/span><\/span><\/p>\n
\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u5229\u70b9\u306f\u3001\u8ffd\u52a0\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044\u3053\u3068\u3067\u3059\u304c\u3001\u6b20\u70b9\u306f\u3001 argsort()<\/strong>\u306b\u306f\u30ea\u30f3\u30af\u3092\u51e6\u7406\u3059\u308b\u30e1\u30bd\u30c3\u30c9\u304c 1 \u3064\u3057\u304b\u306a\u3044\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n
\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001 argsort() \u306f<\/strong>\u5e8f\u6570\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30ea\u30f3\u30af\u3092\u51e6\u7406\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u6700\u521d\u306b\u8868\u793a\u3055\u308c\u308b\u30ea\u30f3\u30af\u3055\u308c\u305f\u5024\u306b\u81ea\u52d5\u7684\u306b\u4f4e\u3044\u30e9\u30f3\u30af\u304c\u4e0e\u3048\u3089\u308c\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 2: Rankdata() \u3092\u4f7f\u7528\u3057\u3066 NumPy \u914d\u5217\u5185\u306e\u8981\u7d20\u3092\u30e9\u30f3\u30af\u4ed8\u3051\u3059\u308b<\/span><\/strong><\/h2>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001SciPy \u306eRankdata()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u914d\u5217\u8981\u7d20\u3092\u30e9\u30f3\u30af\u4ed8\u3051\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata<\/b><\/span>\n\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array)<\/b>\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\narray([3. , 4. , 2. , 1. , 5.5, 5.5])\n<\/strong><\/span><\/pre>\n
\u7d50\u679c\u306f\u3001\u5143\u306e\u914d\u5217\u5185\u306e\u5404\u8981\u7d20\u306e\u30e9\u30f3\u30af\u3092\u793a\u3057\u3001 1<\/strong>\u304c\u6700\u5c0f\u5024\u3092\u8868\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u6700\u5c0f\u5024\u30920<\/strong>\u3067\u8868\u3059\u5834\u5408\u306f\u3001\u5404\u5024\u304b\u3089 1 \u3092\u5f15\u304f\u3060\u3051\u3067\u3059\u3002<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata<\/b>\n<\/span>\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array) - 1\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\n[2. 3. 1. 0. 4.5 4.5]<\/strong><\/span><\/pre>\n
\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001 Rankdata()<\/strong>\u95a2\u6570\u306f\u3001\u540c\u9806\u4f4d\u306e\u3059\u3079\u3066\u306e\u5024\u306b\u5e73\u5747\u30e9\u30f3\u30af\u3092\u5272\u308a\u5f53\u3066\u307e\u3059\u3002<\/span><\/span><\/p>\n
\u305f\u3060\u3057\u3001\u30e1\u30bd\u30c3\u30c9\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5225\u306e\u65b9\u6cd5\u3067\u30ea\u30f3\u30af\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5e8f\u6570\u3092<\/strong>\u30ea\u30f3\u30af\u7ba1\u7406\u65b9\u6cd5\u3068\u3057\u3066\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> rankdata<\/b>\n\n#calculate rank of each item in array\n<\/span>ranks = rankdata(my_array, method=' ordinal<\/span> ') - 1\n\n#view ranks\n<\/span>print<\/span> (ranks)\n\n[2 3 1 0 4 5]\n<\/strong><\/span><\/pre>\n
\u3053\u308c\u306f\u3001NumPy \u306eargsort()<\/strong>\u30e1\u30bd\u30c3\u30c9\u3068\u540c\u3058\u7d50\u679c\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u4ed6\u306e\u30ea\u30f3\u30af\u7ba1\u7406\u65b9\u6cd5\u306b\u306f\u3001 min<\/strong> \u3001 max<\/strong> \u3001\u304a\u3088\u3073Density \u306a\u3069<\/strong>\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u5404\u30e1\u30bd\u30c3\u30c9\u306b\u3064\u3044\u3066\u306f\u3001 SciPy \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 NumPy\u914d\u5217\u304b\u3089\u91cd\u8907\u8981\u7d20\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5<\/a>
 \u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e NumPy \u914d\u5217\u3092\u6574\u6570\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a>
NumPy\u884c\u5217\u3092\u914d\u5217\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6b21\u306e\u3044\u305a\u308c\u304b\u306e\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3001NumPy \u914d\u5217\u5185\u306e\u8981\u7d20\u306e\u9806\u5e8f\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002 \u65b9\u6cd5 1: NumPy \u304b\u3089 argsort() \u3092\u4f7f\u7528\u3059\u308b import numpy as np ranks = np. array (my […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-3834","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nNumPy \u914d\u5217\u5185\u306e\u8981\u7d20\u3092\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) \u2013 Statology<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001NumPy 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