{"id":889,"date":"2023-07-28T10:05:09","date_gmt":"2023-07-28T10:05:09","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e6%9f%b1%e3%81%a6%e3%82%99%e3%81%99\/"},"modified":"2023-07-28T10:05:09","modified_gmt":"2023-07-28T10:05:09","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e6%9f%b1%e3%81%a6%e3%82%99%e3%81%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e6%9f%b1%e3%81%a6%e3%82%99%e3%81%99\/","title":{"rendered":"Pandas\u3067\u5217\u306e\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u591a\u304f\u306e\u5834\u5408\u3001pandas DataFrame \u5185\u306e 1 \u3064\u4ee5\u4e0a\u306e\u5217\u306e\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u306b\u8208\u5473\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u30d1\u30f3\u30c0\u3067\u306fsum()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3053\u308c\u3092\u7c21\u5358\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

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

\u4f8b 1: \u5358\u4e00\u5217\u306e\u5408\u8a08\u3092\u6c42\u3081\u308b<\/strong><\/span><\/h3>\n

\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'rating': [90, 85, 82, 88, 94, 90, 76, 75, 87, 86],\n                   'points': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [np.nan, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n#view DataFrame<\/span> \ndf\n\n\trating points assists rebounds\n0 90 25 5 NaN\n1 85 20 7 8\n2 82 14 7 10\n3 88 16 8 6\n4 94 27 5 6\n5 90 20 7 9\n6 76 12 6 6\n7 75 15 9 10\n8 87 14 9 10\n9 86 19 5 7\n<\/strong><\/pre>\n
\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u300c\u30dd\u30a4\u30f3\u30c8\u300d\u3068\u3044\u3046\u30e9\u30d9\u30eb\u306e\u4ed8\u3044\u305f\u5217\u306e\u5408\u8a08\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 df['points']. sum<\/span> ()\n\n182<\/strong><\/pre>\n
 sum() \u95a2\u6570\u306f\u30c7\u30d5\u30a9\u30eb\u30c8\u3067 NA \u3082\u9664\u5916\u3057\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u300c\u30ea\u30d0\u30a6\u30f3\u30c9\u300d\u5217\u306e\u5408\u8a08\u3092\u6c42\u3081\u308b\u5834\u5408\u3001\u300cNaN\u300d\u306e\u6700\u521d\u306e\u5024\u306f\u5358\u7d14\u306b\u8a08\u7b97\u304b\u3089\u9664\u5916\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n
 df['rebounds']. sum<\/span> ()\n\n72.0<\/strong><\/pre>\n
\u4f8b 2: \u8907\u6570\u306e\u5217\u306e\u5408\u8a08\u3092\u6c42\u3081\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u8907\u6570\u306e\u5217\u306e\u5408\u8a08\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
 #find sum of points and rebounds columns<\/span>\ndf[['rebounds', 'points']]. sum<\/span> ()\n\nrebounds 72.0\npoints 182.0\ndtype:float64\n<\/strong><\/pre>\n
\u4f8b 3: \u3059\u3079\u3066\u306e\u5217\u306e\u5408\u8a08\u3092\u6c42\u3081\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u3059\u3079\u3066\u306e\u5217\u306e\u5408\u8a08\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 #find sum of all columns in DataFrame<\/span>\ndf. sum<\/span> ()\n\nrating 853.0\npoints 182.0\nassists 68.0\nrebounds 72.0\ndtype:float64\n<\/strong><\/pre>\n
\u6570\u5024\u3067\u306f\u306a\u3044\u5217\u306e\u5834\u5408\u3001 sum() \u95a2\u6570\u306f\u5358\u306b\u305d\u308c\u3089\u306e\u5217\u306e\u5408\u8a08\u3092\u8a08\u7b97\u3057\u307e\u305b\u3093\u3002<\/span><\/p>\n
 sum() \u95a2\u6570\u306e\u5b8c\u5168\u306a\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306f\u3053\u3053\u3067<\/a>\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\u591a\u304f\u306e\u5834\u5408\u3001pandas DataFrame \u5185\u306e 1 \u3064\u4ee5\u4e0a\u306e\u5217\u306e\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u306b\u8208\u5473\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u5e78\u3044\u306a\u3053\u3068\u306b\u3001\u30d1\u30f3\u30c0\u3067\u306fsum()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3053\u308c\u3092\u7c21\u5358\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001 […]<\/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-889","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPandas \u3067\u5217\u306e\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 \u2013 Statorials<\/title>\n<meta name=\"description\" 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