{"id":1363,"date":"2023-07-26T16:51:03","date_gmt":"2023-07-26T16:51:03","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e5%88%97%e5%86%85%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e4%b8%80%e6%84%8f%e3%81%ae%e5%80%a4\/"},"modified":"2023-07-26T16:51:03","modified_gmt":"2023-07-26T16:51:03","slug":"%e5%88%97%e5%86%85%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e4%b8%80%e6%84%8f%e3%81%ae%e5%80%a4","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e5%88%97%e5%86%85%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e4%b8%80%e6%84%8f%e3%81%ae%e5%80%a4\/","title":{"rendered":"\u30d1\u30f3\u30c0: \u5217\u5185\u3067\u4e00\u610f\u306e\u5024\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

Pandas DataFrame \u5217\u306e\u4e00\u610f\u306e\u5024\u306e\u30ea\u30b9\u30c8\u3092\u53d6\u5f97\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001 unique()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n

\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u6b21\u306e pandas DataFrame \u3067\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u4f8b\u3092\u3044\u304f\u3064\u304b\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'C'],\n                   ' conference<\/span> ': ['East', 'East', 'East', 'West', 'West', 'East'],\n                   ' points<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view DataFrame\n<\/span>df\n\n        team conference points\n0 A East 11\n1 A East 8\n2 A East 10\n3 B West 6\n4 B West 6\n5 C East 5<\/strong><\/pre>\n
\u5217\u5185\u306e\u56fa\u6709\u306e\u5024\u3092\u691c\u7d22\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001DataFrame \u306e\u5358\u4e00\u5217\u5185\u3067\u4e00\u610f\u306e\u5024\u3092\u691c\u7d22\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 df. team<\/span> . single<\/span> ()\n\narray(['A', 'B', 'C'], dtype=object)<\/strong><\/pre>\n
\u30c1\u30fc\u30e0\u5217\u306e\u4e00\u610f\u306e\u5024\u306b\u306f\u300cA\u300d\u3001\u300cB\u300d\u3001\u300cC\u300d\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u3059\u3079\u3066\u306e\u5217\u3067\u4e00\u610f\u306e\u5024\u3092\u691c\u7d22\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001DataFrame \u306e\u3059\u3079\u3066\u306e\u5217\u3067\u4e00\u610f\u306e\u5024\u3092\u691c\u7d22\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 for<\/span> col in<\/span> df:\n  print<\/span> (df[col] .unique<\/span> ())\n\n['A' 'B' 'C']\n['East' 'West']\n[11 8 10 6 5]\n<\/strong><\/pre>\n
\u5217\u5185\u306e\u56fa\u6709\u306e\u5024\u3092\u691c\u7d22\u3057\u3066\u4e26\u3079\u66ff\u3048\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001DataFrame \u306e\u5358\u4e00\u5217\u306e\u4e00\u610f\u306e\u5024\u3067\u691c\u7d22\u304a\u3088\u3073\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #find unique points values<\/span>\npoints = df. points<\/span> . single<\/span> ()\n\n#sort values smallest to largest<\/span>\npoints. sort<\/span> ()\n\n#display sorted values<\/span>\npoints\n\narray([ 5, 6, 8, 10, 11])\n<\/strong><\/pre>\n
\u5217\u5185\u306e\u56fa\u6709\u306e\u5024\u3092\u898b\u3064\u3051\u3066\u30ab\u30a6\u30f3\u30c8\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001DataFrame \u306e\u5358\u4e00\u5217\u5185\u3067\u4e00\u610f\u306e\u5024\u306e\u51fa\u73fe\u3092\u691c\u7d22\u3057\u3066\u30ab\u30a6\u30f3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 df. team<\/span> . value_counts<\/span> ()\n\nAt 3\nB2\nC 1\nName: team, dtype: int64\n<\/strong><\/pre>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
Pandas DataFrame \u3067\u5358\u4e00\u306e\u884c\u3092\u9078\u629e\u3059\u308b\u65b9\u6cd5<\/a>
Pandas \u306e\u8907\u6570\u306e\u5217\u306e\u4e00\u610f\u306e\u5024\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Pandas DataFrame \u5217\u306e\u4e00\u610f\u306e\u5024\u306e\u30ea\u30b9\u30c8\u3092\u53d6\u5f97\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001 unique()\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u6b21\u306e pandas DataFrame \u3067\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u4f8b\u3092\u3044\u304f\u3064 […]<\/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-1363","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\u30d1\u30f3\u30c0: \u5217\u5185\u306e\u4e00\u610f\u306e\u5024\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5 \u2013 Statology<\/title>\n<meta name=\"description\" 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