{"id":1235,"date":"2023-07-27T04:53:06","date_gmt":"2023-07-27T04:53:06","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%88%a0%e9%99%a4%e7%b4%a2%e5%bc%95%e7%86%8a%e7%8c%ab\/"},"modified":"2023-07-27T04:53:06","modified_gmt":"2023-07-27T04:53:06","slug":"%e5%88%a0%e9%99%a4%e7%b4%a2%e5%bc%95%e7%86%8a%e7%8c%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%88%a0%e9%99%a4%e7%b4%a2%e5%bc%95%e7%86%8a%e7%8c%ab\/","title":{"rendered":"\u5982\u4f55\u5220\u9664 pandas \u4e2d\u7684\u7d22\u5f15\u5217\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"

<\/p>\n

\n

\u6709\u65f6\u60a8\u53ef\u80fd\u60f3\u4ece Python \u4e2d\u7684 pandas DataFrame \u4e2d\u5220\u9664\u7d22\u5f15\u5217\u3002<\/span><\/p>\n

\u7531\u4e8e pandas DataFrames \u548c Series \u59cb\u7ec8\u6709\u4e00\u4e2a\u7d22\u5f15\uff0c\u56e0\u6b64\u60a8\u5b9e\u9645\u4e0a\u65e0\u6cd5\u5220\u9664<\/em>\u7d22\u5f15\uff0c\u4f46\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u91cd\u7f6e\u5b83\uff1a<\/span><\/p>\n

 df. reset_index<\/span> (drop= True<\/span> , place= True<\/span> )\n<\/strong><\/pre>\n
\u4f8b\u5982\uff0c\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u5e26\u6709\u5b57\u6bcd\u7d22\u5f15\u7684 pandas DataFrame\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd.DataFrame({'points': [25, 12, 15, 14, 19, 23, 25, 29],\n                   'assists': [5, 7, 7, 9, 12, 9, 9, 4],\n                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#set index of DataFrame to be random letters\n<\/span>df = df. set_index<\/span> ([pd. Index<\/span> (['a', 'b', 'd', 'g', 'h', 'm', 'n', 'z'])])\n\n#display DataFrame\n<\/span>df\n\n        points assists rebounds\na 25 5 11\nb 12 7 8\nd 15 7 10\ng 14 9 6\nh 19 12 6\nm 23 9 5\nn 25 9 9\nz 29 4 12\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528reset_index()<\/a>\u51fd\u6570\u91cd\u7f6e\u7d22\u5f15\uff0c\u4f7f\u5176\u6210\u4e3a\u4e00\u4e2a\u8fde\u7eed\u7684\u6570\u5b57\u5217\u8868\uff1a<\/span><\/p>\n
 #reset indexes\n<\/span>df. reset_index<\/span> (drop= True<\/span> , place= True<\/span> )\n\n#display DataFrame<\/span>\ndf\n\n        points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u7d22\u5f15\u73b0\u5728\u662f\u4ece 0 \u5230 7 \u7684\u6570\u5b57\u5217\u8868\u3002<\/span><\/p>\n
\u6b63\u5982\u524d\u9762\u63d0\u5230\u7684\uff0c\u7d22\u5f15\u5b9e\u9645\u4e0a\u5e76\u4e0d\u662f\u4e00\u5217\u3002\u56e0\u6b64\uff0c\u5f53\u6211\u4eec\u4f7f\u7528shape<\/strong>\u547d\u4ee4\u65f6\uff0c\u6211\u4eec\u770b\u5230 DataFrame \u6709 8 \u884c\u548c 3 \u5217\uff08\u800c\u4e0d\u662f 4 \u5217\uff09\uff1a<\/span><\/p>\n
 #find number of rows and columns in DataFrame\n<\/span>df. shape\n\n(8, 3)\n<\/span><\/span><\/strong><\/pre>\n
\u5956\u52b1\uff1a\u5bfc\u5165\u548c\u5bfc\u51fa\u65f6\u5220\u9664\u7d22\u5f15<\/strong><\/span><\/h3>\n
\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5728\u4ece CSV \u6587\u4ef6\u8bfb\u53d6 pandas DataFrame \u540e\u91cd\u7f6e\u5176\u7d22\u5f15\u3002\u5bfc\u5165\u65f6<\/em>\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5feb\u901f\u91cd\u7f6e\u7d22\u5f15\uff1a<\/span><\/p>\n
 df = pd. read_csv<\/span> ('data.csv', index_col= False<\/span> )<\/strong><\/pre>\n
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u786e\u4fdd\u5bfc\u51fa\u671f\u95f4\u7d22\u5f15\u5217\u4e0d\u4f1a\u5199\u5165 CSV \u6587\u4ef6\uff1a<\/span><\/p>\n
 df. to_csv<\/span> ('data.csv', index= False<\/span> )<\/strong><\/pre>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u5982\u4f55\u5728 Pandas \u4e2d\u5c06\u5217\u8bbe\u7f6e\u4e3a\u7d22\u5f15<\/a>
\u5982\u4f55\u5220\u9664 Pandas \u4e2d\u5305\u542b NaN \u503c\u7684\u884c<\/a>
\u5982\u4f55\u5bf9 Pandas DataFrame \u4e2d\u7684\u503c\u8fdb\u884c\u6392\u5e8f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6709\u65f6\u60a8\u53ef\u80fd\u60f3\u4ece Python \u4e2d\u7684 pandas DataFrame \u4e2d\u5220\u9664\u7d22\u5f15\u5217\u3002 \u7531\u4e8e pandas Da […]<\/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-1235","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5220\u9664 Pandas \u4e2d\u7684\u7d22\u5f15\u5217\uff08\u9644\u793a\u4f8b\uff09<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u4ece pandas DataFrame \u4e2d\u5220\u9664\u7d22\u5f15\u5217\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\/\u5220\u9664\u7d22\u5f15\u718a\u732b\/\" \/>\n<meta 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