{"id":893,"date":"2023-07-28T10:02:57","date_gmt":"2023-07-28T10:02:57","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%b9%b3%e5%9d%87%e7%86%8a%e7%8c%ab%e5%88%97\/"},"modified":"2023-07-28T10:02:57","modified_gmt":"2023-07-28T10:02:57","slug":"%e5%b9%b3%e5%9d%87%e7%86%8a%e7%8c%ab%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%b9%b3%e5%9d%87%e7%86%8a%e7%8c%ab%e5%88%97\/","title":{"rendered":"\u5982\u4f55\u8ba1\u7b97 pandas \u4e2d\u5217\u7684\u5e73\u5747\u503c"},"content":{"rendered":"

<\/p>\n

\n

\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5bf9\u8ba1\u7b97 pandas DataFrame \u4e2d\u4e00\u5217\u6216\u591a\u5217\u7684\u5e73\u5747\u503c\u611f\u5174\u8da3\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Mean()<\/a>\u51fd\u6570\u5728 pandas \u4e2d\u8f7b\u677e\u5b8c\u6210\u6b64\u64cd\u4f5c\u3002<\/span><\/p>\n

\u672c\u6559\u7a0b\u5c55\u793a\u4e86\u4f7f\u7528\u6b64\u529f\u80fd\u7684\u51e0\u4e2a\u793a\u4f8b\u3002<\/span><\/p>\n

\u793a\u4f8b 1\uff1a\u6c42\u5355\u5217\u7684\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n

\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff1a<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J '],\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        player points assists rebounds\n0 A 25 5 NaN\n1 B 20 7 8.0\n2 C 14 7 10.0\n3 D 16 8 6.0\n4 E 27 5 6.0\n5 F 20 7 9.0\n6 G 12 6 6.0\n7:15 9 10.0\n8 I 14 9 10.0\n9 D 19 5 7.0\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u627e\u5230\u6807\u8bb0\u4e3a\u201c\u70b9\u201d\u7684\u5217\u7684\u5e73\u5747\u503c\uff1a<\/span><\/p>\n
 df['points']. mean<\/span> ()\n\n18.2<\/strong><\/pre>\n
\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cMean() \u51fd\u6570\u8fd8\u5c06\u6392\u9664 NA\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6211\u4eec\u627e\u5230\u201c\u7bee\u677f\u201d\u5217\u7684\u5e73\u5747\u503c\uff0c\u5219\u7b2c\u4e00\u4e2a\u503c\u201cNaN\u201d\u5c06\u88ab\u6392\u9664\u5728\u8ba1\u7b97\u4e4b\u5916\uff1a<\/span><\/p>\n
 df['rebounds']. mean<\/span> ()\n\n8.0\n<\/strong><\/pre>\n
\u5982\u679c\u60a8\u5c1d\u8bd5\u67e5\u627e\u975e\u6570\u5b57\u5217\u7684\u5e73\u5747\u503c\uff0c\u60a8\u5c06\u6536\u5230\u9519\u8bef\uff1a<\/span><\/p>\n
 df['player'].<\/span> mean<\/span> ()<\/span>\n<\/span>\nTypeError: Could not convert ABCDEFGHIJ to numeric\n<\/strong><\/pre>\n
\u793a\u4f8b 2\uff1a\u6c42\u591a\u5217\u7684\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u627e\u5230\u591a\u5217\u7684\u5e73\u5747\u503c\uff1a<\/span><\/p>\n
 #find mean of points and rebounds columns<\/span>\ndf[['rebounds', 'points']]. mean<\/span> ()\n\nrebounds 8.0\npoints 18.2\ndtype:float64\n<\/strong><\/pre>\n
\u793a\u4f8b 3\uff1a\u6c42\u6240\u6709\u5217\u7684\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u627e\u5230\u6240\u6709\u6570\u5b57\u5217\u7684\u5e73\u5747\u503c\uff1a<\/span><\/p>\n
 #find mean of all numeric columns in DataFrame<\/span>\ndf. mean<\/span> ()\n\npoints 18.2\nassists 6.8\nrebounds 8.0\ndtype:float64\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0cMean() \u51fd\u6570\u5c06\u7b80\u5355\u5730\u5ffd\u7565\u975e\u6570\u5b57\u5217\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u5982\u4f55\u8ba1\u7b97 pandas \u7684\u4e2d\u4f4d\u6570<\/a>
\u5982\u4f55\u8ba1\u7b97 Pandas \u4e2d\u7684\u5217\u603b\u548c<\/a>
\u5982\u4f55\u627e\u5230 Pandas \u4e2d\u5217\u7684\u6700\u5927\u503c<\/p>\n","protected":false},"excerpt":{"rendered":"
\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5bf9\u8ba1\u7b97 pandas DataFrame \u4e2d\u4e00\u5217\u6216\u591a\u5217\u7684\u5e73\u5747\u503c\u611f\u5174\u8da3\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Mean […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-893","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u8ba1\u7b97 pandas \u4e2d\u7684\u5217\u5e73\u5747\u503c \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u5173\u4e8e\u5982\u4f55\u8ba1\u7b97 pandas DataFrame \u4e2d\u4e00\u5217\u6216\u591a\u5217\u7684\u5e73\u5747\u503c\u7684\u7b80\u5355\u8bf4\u660e\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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