{"id":4250,"date":"2023-07-12T13:18:41","date_gmt":"2023-07-12T13:18:41","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%b0%86%e5%b8%83%e5%b0%94%e5%80%bc%e8%bd%ac%e6%8d%a2%e4%b8%ba%e5%ad%97%e7%ac%a6%e4%b8%b2\/"},"modified":"2023-07-12T13:18:41","modified_gmt":"2023-07-12T13:18:41","slug":"pandas-%e5%b0%86%e5%b8%83%e5%b0%94%e5%80%bc%e8%bd%ac%e6%8d%a2%e4%b8%ba%e5%ad%97%e7%ac%a6%e4%b8%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%b0%86%e5%b8%83%e5%b0%94%e5%80%bc%e8%bd%ac%e6%8d%a2%e4%b8%ba%e5%ad%97%e7%ac%a6%e4%b8%b2\/","title":{"rendered":"\u5982\u4f55\u5728 pandas dataframe \u4e2d\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06 pandas DataFrame \u4e2d\u7684\u5e03\u5c14\u5217\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u5217\uff1a<\/span><\/p>\n

 df[' my_bool_column<\/span> '] = df[' my_bool_column<\/span> ']. replace<\/span> ({ True<\/span> : ' True<\/span> ', False<\/span> : ' False<\/span> '})\n<\/strong><\/pre>\n
\u6b64\u7279\u5b9a\u793a\u4f8b\u5c06\u540d\u4e3amy_bool_column \u7684<\/strong>\u5217\u4e2d\u7684\u6bcf\u4e2a True \u503c\u66ff\u6362\u4e3a\u5b57\u7b26\u4e32\u201cTrue\u201d\uff0c\u5c06\u6bcf\u4e2a False \u503c\u66ff\u6362\u4e3a\u5b57\u7b26\u4e32\u201cFalse\u201d\u3002<\/span><\/p>\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\u5728 Pandas \u4e2d\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32<\/strong><\/span><\/h2>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G'],\n                   ' points<\/span> ': [18,20, 25, 40, 34, 32, 19],\n                   ' all_star<\/span> ': [True, False, True, True, True, False, False],\n                   ' starter<\/span> ': [False, True, True, True, False, False, False]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points all_star starter\n0 A 18 True False\n1 B 20 False True\n2 C 25 True True\n3 D 40 True True\n4 E 34 True False\n5 F 32 False False\n6 G 19 False False\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 dtypes \u51fd\u6570\u6765\u68c0\u67e5 DataFrame \u4e2d\u6bcf\u4e00\u5217\u7684\u6570\u636e\u7c7b\u578b\uff1a<\/span><\/p>\n
 #view data type of each column\n<\/span>print<\/span> ( df.dtypes<\/span> )\n\nteam object\nint64 dots\nall_star bool\nstarter bool\ndtype:object<\/strong><\/pre>\n
\u4ece\u7ed3\u679c\u4e2d\u6211\u4eec\u53ef\u4ee5\u770b\u5230all_star<\/strong>\u548cstarter<\/strong>\u5217\u90fd\u662f\u5e03\u5c14\u503c\u3002<\/span><\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5c06all_star<\/strong>\u5217\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u5217\uff1a<\/span><\/p>\n
 #convert Boolean values in all_star column to strings\ndf[' all_star<\/span> '] = df[' all_star<\/span> ']. replace<\/span> ({ True<\/span> : ' True<\/span> ', False<\/span> : ' False<\/span> '})\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  team points all_star starter\n0 A 18 True False\n1 B 20 False True\n2 C 25 True True\n3 D 40 True True\n4 E 34 True False\n5 F 32 False False\n6 G 19 False False\n\n#view updated data types of each column\n<\/span>print<\/span> ( df.dtypes<\/span> )\n\nteam object\nint64 dots\nall_star object\nstarter bool\ndtype:object<\/span><\/span><\/strong><\/pre>\n
\u4ece\u7ed3\u679c\u4e2d\u6211\u4eec\u53ef\u4ee5\u770b\u5230all_star<\/strong>\u5217\u5df2\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u5217\u3002<\/span><\/span><\/p>\n
\u8981\u5c06all_star<\/strong>\u548cstarter<\/strong>\u5217\u4ece\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n
 #convert Boolean values in all_star and starter columns to strings\ndf[[' all_star<\/span> ', ' starter<\/span> ']] = df[[' all_star<\/span> ', ' starter<\/span> ']]. replace<\/span> ({ True<\/span> : ' True<\/span> ', False<\/span> : ' False<\/span> '})\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  team points all_star starter\n0 A 18 True False\n1 B 20 False True\n2 C 25 True True\n3 D 40 True True\n4 E 34 True False\n5 F 32 False False\n6 G 19 False False\n\n#view updated data types of each column\n<\/span>print<\/span> ( df.dtypes<\/span> )\n\nteam object\nint64 dots\nall_star object\nstarter object\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n
\u4ece\u7ed3\u679c\u4e2d\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4e24\u4e2a\u5e03\u5c14\u5217\u90fd\u5df2\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u3002<\/span><\/span><\/p>\n
\u6ce8\u610f\uff1a<\/strong>\u60a8\u53ef\u4ee5\u5728\u6b64\u5904<\/a>\u627e\u5230 pandas Replace()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n
Pandas\uff1a\u4f7f\u7528\u5e03\u5c14\u7cfb\u5217\u4ece DataFrame \u4e2d\u9009\u62e9\u884c<\/a>
Pandas\uff1a\u5982\u4f55\u6839\u636e\u6761\u4ef6\u521b\u5efa\u5e03\u5c14\u5217<\/a>
Pandas\uff1a\u5982\u4f55\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6574\u6570\u503c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06 pandas DataFrame \u4e2d\u7684\u5e03\u5c14\u5217\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u5217\uff1a df[‘ my_boo […]<\/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-4250","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Pandas DataFrame \u4e2d\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5c06 pandas \u4e2d\u7684\u5e03\u5c14\u5217\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\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\/pandas-\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 Pandas DataFrame \u4e2d\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32 - 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