{"id":3528,"date":"2023-07-17T00:44:31","date_gmt":"2023-07-17T00:44:31","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%b0%86%e5%88%97%e8%a1%a8%e8%bd%ac%e6%8d%a2%e4%b8%ba%e5%88%97\/"},"modified":"2023-07-17T00:44:31","modified_gmt":"2023-07-17T00:44:31","slug":"pandas-%e5%b0%86%e5%88%97%e8%a1%a8%e8%bd%ac%e6%8d%a2%e4%b8%ba%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%b0%86%e5%88%97%e8%a1%a8%e8%bd%ac%e6%8d%a2%e4%b8%ba%e5%88%97\/","title":{"rendered":"\u5982\u4f55\u5c06 pandas \u4e2d\u7684\u5217\u8868\u8f6c\u6362\u4e3a\u5217"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06\u5217\u8868\u8f6c\u6362\u4e3a pandas DataFrame \u4e2d\u7684\u5217\uff1a<\/span><\/p>\n

 df[' new_column<\/span> '] = pd. Series<\/span> (some_list)\n<\/strong><\/pre>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n
\u793a\u4f8b\uff1a\u5c06 Pandas \u4e2d\u7684\u5217\u8868\u8f6c\u6362\u4e3a\u5217<\/strong><\/span><\/h2>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u6709\u5173\u5404\u79cd\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u4fe1\u606f\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12\n<\/strong><\/pre>\n
\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u5c06\u540d\u4e3a\u201c\u822a\u73ed\u201d<\/strong>\u7684\u5217\u8868\u8f6c\u6362\u4e3a DataFrame \u4e2d\u7684\u5217\uff1a<\/span><\/p>\n
 #create list\n<\/span>steals = [4, 4, 3, 2, 3, 5, 0, 1]\n\n#convert list to DataFrame column\n<\/span>df[' steals<\/span> '] = pd. Series<\/span> (steals)\n\n#view updated DataFame\n<\/span>print<\/span> (df)\n\n  team points assists rebounds steals\n0 A 18 5 11 4\n1 B 22 7 8 4\n2 C 19 7 10 3\n3 D 14 9 6 2\n4 E 14 12 6 3\n5 F 11 9 5 5\n6 G 20 9 9 0\n7:28 4 12 1\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u822a\u73ed<\/strong>\u5df2\u4f5c\u4e3a\u65b0\u5217\u6dfb\u52a0\u5230 pandas DataFrame \u4e2d\u3002<\/span><\/span><\/p>\n
\u8bf7\u6ce8\u610f\uff0c\u5982\u679c\u5217\u8868\u5305\u542b\u7684\u5143\u7d20\u5c11\u4e8e\u73b0\u6709 DataFrame \u4e2d\u7684\u884c\u6570\uff0c\u5219NaN<\/strong>\u503c\u5c06\u586b\u5145\u5230\u5217\u4e2d\uff1a<\/span><\/p>\n
 #create list\n<\/span>steals = [4, 4, 3, 2, 3]\n\n#convert list to DataFrame column\n<\/span>df[' steals<\/span> '] = pd. Series<\/span> (steals)\n\n#view updated DataFame\n<\/span>print<\/span> (df)\n\n  team points assists rebounds steals\n0 A 18 5 11 4.0\n1 B 22 7 8 4.0\n2 C 19 7 10 3.0\n3 D 14 9 6 2.0\n4 E 14 12 6 3.0\n5 F 11 9 5 NaN\n6 G 20 9 9 NaN\n7:28 4 12 NaN\n<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u65b0\u822a\u73ed\u5217\u4e2d\u7684\u6700\u540e\u4e09\u4e2a\u503c\u53ea\u662f panda \u751f\u6210\u7684NaN<\/strong>\u503c\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u7684 panda \u4efb\u52a1\uff1a<\/span><\/p>\n
 \u5982\u4f55\u4ece Pandas DataFrame \u83b7\u53d6\u5355\u5143\u683c\u503c<\/a>
\u5982\u4f55\u91cd\u547d\u540d Pandas DataFrame \u4e2d\u7684\u7d22\u5f15<\/a>
\u5982\u4f55\u5728 Pandas \u4e2d\u6309\u540d\u79f0\u5bf9\u5217\u8fdb\u884c\u6392\u5e8f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06\u5217\u8868\u8f6c\u6362\u4e3a pandas DataFrame \u4e2d\u7684\u5217\uff1a df[‘ new_column […]<\/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-3528","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Pandas \u4e2d\u5c06\u5217\u8868\u8f6c\u6362\u4e3a\u5217 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5c06\u5217\u8868\u8f6c\u6362\u4e3a pandas DataFrame \u4e2d\u7684\u5217\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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