{"id":989,"date":"2023-07-28T02:09:42","date_gmt":"2023-07-28T02:09:42","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e5%88%86%e5%b1%82%e6%8a%bd%e6%a0%b7\/"},"modified":"2023-07-28T02:09:42","modified_gmt":"2023-07-28T02:09:42","slug":"%e7%86%8a%e7%8c%ab%e5%88%86%e5%b1%82%e6%8a%bd%e6%a0%b7","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e5%88%86%e5%b1%82%e6%8a%bd%e6%a0%b7\/","title":{"rendered":"Pandas \u7684\u5206\u5c42\u62bd\u6837\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"

<\/p>\n

\n

\u7814\u7a76\u4eba\u5458\u7ecf\u5e38\u4ece\u4eba\u7fa4\u4e2d\u62bd\u53d6\u6837\u672c<\/a>\uff0c\u5e76\u5229\u7528\u6837\u672c\u4e2d\u7684\u6570\u636e\u5f97\u51fa\u5173\u4e8e\u6574\u4e2a\u4eba\u7fa4\u7684\u7ed3\u8bba\u3002<\/span><\/p>\n

\u5e38\u7528\u7684\u62bd\u6837\u65b9\u6cd5\u662f\u5206\u5c42\u968f\u673a\u62bd\u6837<\/strong>\uff0c\u5c06\u603b\u4f53\u5206\u4e3a\u82e5\u5e72\u7ec4\uff0c\u5e76\u4ece\u6bcf\u4e2a\u7ec4\u4e2d\u968f\u673a\u9009\u62e9\u4e00\u5b9a\u6570\u91cf\u7684\u6210\u5458\u7eb3\u5165\u6837\u672c\u3002<\/span><\/p>\n

\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5728 Python \u4e2d\u6267\u884c\u5206\u5c42\u968f\u673a\u62bd\u6837\u7684\u4e24\u79cd\u65b9\u6cd5\u3002<\/span><\/p>\n

\u793a\u4f8b 1\uff1a\u4f7f\u7528\u8ba1\u6570\u8fdb\u884c\u5206\u5c42\u62bd\u6837<\/strong><\/h3>\n

\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u6765\u81ea 2 \u4e2a\u4e0d\u540c\u7403\u961f\u7684 8 \u540d\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u6570\u636e\uff1a<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'team': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   'position': ['G', 'G', 'F', 'G', 'F', 'F', 'C', 'C'],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9],\n                   'rebounds': [11, 8, 10, 6, 6, 9, 6, 10]})\n\n#view DataFrame\n<\/span>df\n\n        team position assists rebounds\n0 A G 5 11\n1 A G 7 8\n2 A F 7 10\n3 A G 8 6\n4 B F 5 6\n5 B F 7 9\n6 B C 6 6\n7 B C 9 10\n<\/strong><\/pre>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u901a\u8fc7\u4ece\u6bcf\u652f\u7403\u961f\u4e2d\u968f\u673a\u9009\u62e9 2 \u540d\u7403\u5458\u7eb3\u5165\u6837\u672c\u6765\u6267\u884c\u5206\u5c42\u968f\u673a\u62bd\u6837\uff1a<\/span><\/p>\n
 df. groupby<\/span> ('team', group_keys= False<\/span> ). apply<\/span> ( lambda<\/span> x: x.sample<\/span> (2))\n\n        team position assists rebounds\n0 A G 5 11\n3 A G 8 6\n6 B C 6 6\n5 B F 7 9\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u5206\u5c42\u6837\u672c\u4e2d\u5305\u542b\u6bcf\u652f\u7403\u961f\u7684\u4e24\u540d\u7403\u5458\u3002<\/span><\/p>\n
\u793a\u4f8b 2\uff1a\u4f7f\u7528\u6bd4\u4f8b\u5206\u5c42\u62bd\u6837<\/strong><\/h3>\n
\u6211\u4eec\u518d\u6b21\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u6765\u81ea 2 \u4e2a\u4e0d\u540c\u7403\u961f\u7684 8 \u540d\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u6570\u636e\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'team': ['A', 'A', 'B', 'B', 'B', 'B', 'B', 'B'],\n                   'position': ['G', 'G', 'F', 'G', 'F', 'F', 'C', 'C'],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9],\n                   'rebounds': [11, 8, 10, 6, 6, 9, 6, 10]})\n\n#view DataFrame\n<\/span>df\n\n        team position assists rebounds\n0 A G 5 11\n1 A G 7 8\n2 A F 7 10\n3 A G 8 6\n4 B F 5 6\n5 B F 7 9\n6 B C 6 6\n7 B C 9 10\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0cDataFrame \u4e2d\u7684 8 \u540d\u73a9\u5bb6\u4e2d\u6709 6 \u540d (75%) \u5c5e\u4e8e A \u961f\uff0c8 \u540d\u73a9\u5bb6\u4e2d\u6709 2 \u540d (25%) \u5c5e\u4e8e B \u961f\u3002<\/span><\/p>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u6267\u884c\u5206\u5c42\u968f\u673a\u62bd\u6837\uff0c\u4f7f\u6bcf\u4e2a\u7403\u961f\u6837\u672c\u4e2d\u7684\u7403\u5458\u6bd4\u4f8b\u4e0e\u8f83\u5927\u7684 DataFrame \u4e2d\u6bcf\u4e2a\u7403\u961f\u7684\u7403\u5458\u6bd4\u4f8b\u76f8\u5339\u914d\uff1a<\/span><\/p>\n
 import<\/span> numpy as np\n\n<\/span>#define total sample size desired<\/span>\nN = 4\n\n#perform stratified random sampling<\/span>\ndf. groupby<\/span> ('team', group_keys= False<\/span> ). apply<\/span> ( lambda<\/span> x: x. sample<\/span> (int(np. rint<\/span> (N* len<\/span> (x)\/ len<\/span> (df))))). sample<\/span> (frac=1). reset_index<\/span> (drop= True<\/span> )\n\n        team position assists rebounds\n0 B F 7 9\n1 B G 8 6\n2 B C 6 6\n3 A G 7 8\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u5206\u5c42\u6837\u672c\u4e2d A \u961f\u7403\u5458\u7684\u6bd4\u4f8b (25%) \u4e0e\u8f83\u5927 DataFrame \u4e2d A \u961f\u7403\u5458\u7684\u6bd4\u4f8b\u76f8\u5339\u914d\u3002<\/span><\/p>\n
\u540c\u6837\uff0c\u5206\u5c42\u6837\u672c\u4e2d B \u961f\u7403\u5458\u7684\u6bd4\u4f8b (75%) \u4e0e\u8f83\u5927 DataFrame \u4e2d B \u961f\u7403\u5458\u7684\u6bd4\u4f8b\u76f8\u5339\u914d\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4f7f\u7528 pandas \u9009\u62e9\u5176\u4ed6\u6837\u672c\u7c7b\u578b\uff1a<\/span><\/p>\n
 \u5982\u4f55\u5728 Pandas \u4e2d\u8fdb\u884c\u805a\u7c7b\u62bd\u6837<\/a>
 \u5982\u4f55\u5bf9\u5927\u718a\u732b\u8fdb\u884c\u7cfb\u7edf\u91c7\u6837<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u7814\u7a76\u4eba\u5458\u7ecf\u5e38\u4ece\u4eba\u7fa4\u4e2d\u62bd\u53d6\u6837\u672c\uff0c\u5e76\u5229\u7528\u6837\u672c\u4e2d\u7684\u6570\u636e\u5f97\u51fa\u5173\u4e8e\u6574\u4e2a\u4eba\u7fa4\u7684\u7ed3\u8bba\u3002 \u5e38\u7528\u7684\u62bd\u6837\u65b9\u6cd5\u662f\u5206\u5c42\u968f\u673a\u62bd\u6837\uff0c\u5c06\u603b\u4f53 […]<\/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-989","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\npandas \u7684\u5206\u5c42\u62bd\u6837\uff08\u9644\u793a\u4f8b\uff09 - Statorials<\/title>\n<meta name=\"description\" content=\"\u7b80\u5355\u89e3\u91ca\u5982\u4f55\u5bf9\u718a\u732b\u8fdb\u884c\u5206\u5c42\u62bd\u6837\uff0c\u5305\u62ec\u51e0\u4e2a\u4f8b\u5b50\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u5206\u5c42\u62bd\u6837\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"pandas \u7684\u5206\u5c42\u62bd\u6837\uff08\u9644\u793a\u4f8b\uff09 - 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