{"id":2049,"date":"2023-07-23T22:39:52","date_gmt":"2023-07-23T22:39:52","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%b0%86-pandas-%e7%b3%bb%e5%88%97%e8%bd%ac%e6%8d%a2%e4%b8%ba-dataframe\/"},"modified":"2023-07-23T22:39:52","modified_gmt":"2023-07-23T22:39:52","slug":"%e5%b0%86-pandas-%e7%b3%bb%e5%88%97%e8%bd%ac%e6%8d%a2%e4%b8%ba-dataframe","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%b0%86-pandas-%e7%b3%bb%e5%88%97%e8%bd%ac%e6%8d%a2%e4%b8%ba-dataframe\/","title":{"rendered":"\u5982\u4f55\u5c06 pandas \u7cfb\u5217\u8f6c\u6362\u4e3a dataframe\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"

<\/p>\n

\n

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

 my_df = my_series. to_frame<\/span> (name=' column_name<\/span> ')\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 1\uff1a\u5c06\u7cfb\u5217\u8f6c\u6362\u4e3a Pandas DataFrame<\/strong><\/span><\/h3>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas \u7cfb\u5217\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create pandas Series\n<\/span>my_series = pd. Series<\/span> ([3, 4, 4, 8, 14, 17, 20])\n\n#view pandas Series\n<\/span>print<\/span> (my_series)\n\n0 3\n1 4\n2 4\n3 8\n4 14\n5 17\n6 20\ndtype: int64\n\n#view object type\n<\/span>print<\/span> (type(my_series))\n\n<class 'pandas.core.series.Series'>\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528to_frame()<\/strong>\u51fd\u6570\u5feb\u901f\u5c06\u6b64 pandas Series \u8f6c\u6362\u4e3a pandas DataFrame\uff1a<\/span><\/p>\n
 #convert Series to DataFrame and specify column name to be 'values'\n<\/span>my_df = my_series. to_frame<\/span> (name=' values<\/span> ')\n\n#view pandas DataFrame<\/span>\nprint<\/span> (my_df)\n\n   values\n0 3\n1 4\n2 4\n3 8\n4 14\n5 17\n6 20\n\n#view object type<\/span>\nprint<\/span> (type(my_df))\n\n<class 'pandas.core.frame.DataFrame'>\n<\/span><\/strong><\/pre>\n
\u793a\u4f8b 2\uff1a\u5c06\u591a\u4e2a\u7cfb\u5217\u8f6c\u6362\u4e3a Pandas DataFrame<\/strong><\/span><\/h3>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4e09\u7ec4\u4e0d\u540c\u7684\u718a\u732b\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define three Series<\/span>\nname = pd. Series<\/span> (['A', 'B', 'C', 'D', 'E'])\npoints = pd. Series<\/span> ([34, 20, 21, 57, 68])\nassists = pd. Series<\/span> ([8, 12, 14, 9, 11])\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5c06\u6bcf\u4e2a Series \u8f6c\u6362\u4e3a DataFrame \u5e76\u5c06\u4e09\u4e2a DataFrame \u8fde\u63a5\u6210\u6700\u7ec8\u7684 DataFrame\uff1a<\/span><\/p>\n
 #convert each Series to a DataFrame\n<\/span>name_df = name. to_frame<\/span> (name=' name<\/span> ')\npoints_df = points. to_frame<\/span> (name=' points<\/span> ')\nassists_df = assists. to_frame<\/span> (name=' assists<\/span> ')\n\n#concatenate three Series into one DataFrame\n<\/span>df = pd. concat<\/span> ([name_df, points_df, assists_df], axis= 1<\/span> )\n\n#view final DataFrame\n<\/span>print<\/span> (df)\n\n  name points assists\n0 to 34 8\n1 B 20 12\n2 C 21 14\n3 D 57 9\n4 E 68 11\n<\/span><\/strong><\/pre>\n
\u6700\u7ec8\u7ed3\u679c\u662f\u4e00\u4e2a pandas DataFrame\uff0c\u5176\u4e2d\u6bcf\u4e2a\u7cfb\u5217\u4ee3\u8868\u4e00\u5217\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u7684\u6570\u636e\u5bf9\u8c61\u8f6c\u6362\uff1a<\/span><\/p>\n
\u5982\u4f55\u5c06 Pandas \u7cfb\u5217\u8f6c\u6362\u4e3a NumPy \u6570\u7ec4<\/a>
\u5982\u4f55\u5c06 Pandas DataFrame \u8f6c\u6362\u4e3a NumPy \u6570\u7ec4<\/a>
\u5982\u4f55\u5c06 Pandas DataFrame \u8f6c\u6362\u4e3a\u5b57\u5178<\/a>
\u5982\u4f55\u5c06 Pandas DataFrame \u8f6c\u6362\u4e3a\u5217\u8868<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5c06 pandas Series \u8f6c\u6362\u4e3a pandas DataFrame\uff1a my_df  […]<\/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-2049","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5c06 Pandas \u7cfb\u5217\u8f6c\u6362\u4e3a DataFrame\uff08\u9644\u793a\u4f8b\uff09-Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5c06 pandas \u7cfb\u5217\u8f6c\u6362\u4e3a DataFrame\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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