{"id":897,"date":"2023-07-28T09:25:50","date_gmt":"2023-07-28T09:25:50","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e8%a1%8c%e3%81%ae%e5%90%88%e8%a8%88%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0\/"},"modified":"2023-07-28T09:25:50","modified_gmt":"2023-07-28T09:25:50","slug":"%e8%a1%8c%e3%81%ae%e5%90%88%e8%a8%88%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e8%a1%8c%e3%81%ae%e5%90%88%e8%a8%88%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0\/","title":{"rendered":"Pandas dataframe \u306e\u884c\u306e\u5408\u8a08\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5"},"content":{"rendered":"

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\u591a\u304f\u306e\u5834\u5408\u3001pandas DataFrame \u5185\u306e 1 \u3064\u4ee5\u4e0a\u306e\u884c\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(axis=1)<\/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\u6b21\u306e 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\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': [8, np.nan, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n#view DataFrame<\/span> \ndf\n\n\n        rating points assists rebounds\n0 90 25 5 8.0\n1 85 20 7 NaN\n2 82 14 7 10.0\n3 88 16 8 6.0\n4 94 27 5 6.0\n5 90 20 7 9.0\n6 76 12 6 6.0\n7 75 15 9 10.0\n8 87 14 9 10.0\n9 86 19 5 7.07\n<\/strong><\/pre>\n
\u4f8b 1: \u5404\u884c\u306e\u5408\u8a08\u3092\u6c42\u3081\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001DataFrame \u306e\u5404\u884c\u306e\u5408\u8a08\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
 df. sum<\/span> (axis=1)\n\n0 128.0\n1,112.0\n2,113.0\n3 118.0\n4,132.0\n5,126.0\n6 100.0\n7 109.0\n8 120.0\n9 117.0\ndtype:float64<\/strong><\/pre>\n
\u51fa\u529b\u304b\u3089\u306f\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n