{"id":4165,"date":"2023-07-13T03:37:40","date_gmt":"2023-07-13T03:37:40","guid":{"rendered":"https:\/\/statorials.org\/uk\/pandas-%d0%bf%d0%b5%d1%80%d0%b5%d1%82%d0%b2%d0%be%d1%80%d1%8e%d1%94-%d1%96%d0%bd%d0%b4%d0%b5%d0%ba%d1%81-%d0%bd%d0%b0-%d0%b4%d0%b0%d1%82%d1%83-%d1%96-%d1%87%d0%b0%d1%81\/"},"modified":"2023-07-13T03:37:40","modified_gmt":"2023-07-13T03:37:40","slug":"pandas-%d0%bf%d0%b5%d1%80%d0%b5%d1%82%d0%b2%d0%be%d1%80%d1%8e%d1%94-%d1%96%d0%bd%d0%b4%d0%b5%d0%ba%d1%81-%d0%bd%d0%b0-%d0%b4%d0%b0%d1%82%d1%83-%d1%96-%d1%87%d0%b0%d1%81","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/pandas-%d0%bf%d0%b5%d1%80%d0%b5%d1%82%d0%b2%d0%be%d1%80%d1%8e%d1%94-%d1%96%d0%bd%d0%b4%d0%b5%d0%ba%d1%81-%d0%bd%d0%b0-%d0%b4%d0%b0%d1%82%d1%83-%d1%96-%d1%87%d0%b0%d1%81\/","title":{"rendered":"Pandas: \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0456\u043d\u0434\u0435\u043a\u0441 \u043d\u0430 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441"},"content":{"rendered":"

<\/p>\n

\n

\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 pandas DataFrame \u0443 \u0444\u043e\u0440\u043c\u0430\u0442 \u0434\u0430\u0442\u0438 \u0439 \u0447\u0430\u0441\u0443:<\/span><\/p>\n

 df. index<\/span> = pd. to_datetime<\/span> ( df.index<\/span> )\n<\/strong><\/pre>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u043d\u0430 \u0434\u0430\u0442\u0443 \u0439 \u0447\u0430\u0441 \u0443 Pandas<\/strong><\/span><\/h2>\n
 \u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u043e, \u0449\u043e \u0443 \u043d\u0430\u0441 \u0454 \u0442\u0430\u043a\u0438\u0439 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u0438\u0445 pandas, \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u044e \u043f\u0440\u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0456 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0456\u0432 \u0443 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0456:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' time<\/span> ': ['4-15-2022 10:15', '5-19-2022 7:14', '8-01-2022 1:14',\n                            '6-14-2022 9:45', '10-24-2022 2:58', '12-13-2022 11:03'],\n                   ' product<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                   ' sales<\/span> ': [12, 25, 23, 18, 14, 10]})\n\n#set 'time' column as index\n<\/span>df = df. set_index<\/span> (' time<\/span> ')\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n                 product sales\ntime                           \n4-15-2022 10:15 A 12\n5-19-2022 7:14 B 25\n8-01-2022 1:14 C 23\n6-14-2022 9:45 D 18\n10-24-2022 2:58 E 14\n12-13-2022 11:03 F 10<\/span><\/span><\/strong><\/pre>\n
 \u0422\u0435\u043f\u0435\u0440 \u043f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u043c\u0438 \u0441\u043f\u0440\u043e\u0431\u0443\u0454\u043c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c, \u0449\u043e \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0447\u0430\u0441 \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0456\u043d\u0434\u0435\u043a\u0441\u0443:<\/span><\/p>\n
 #attempt to create new column that contains hour of index column\n<\/span>df[' hour<\/span> '] = df. index<\/span> . hour\n\nAttributeError: 'Index' object has no attribute 'hour'\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n
 \u041c\u0438 \u043e\u0442\u0440\u0438\u043c\u0443\u0454\u043c\u043e \u043f\u043e\u0432\u0456\u0434\u043e\u043c\u043b\u0435\u043d\u043d\u044f \u043f\u0440\u043e \u043f\u043e\u043c\u0438\u043b\u043a\u0443, \u043e\u0441\u043a\u0456\u043b\u044c\u043a\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u043d\u0430\u0440\u0430\u0437\u0456 \u043d\u0435 \u043c\u0430\u0454 \u0444\u043e\u0440\u043c\u0430\u0442\u0443 \u0434\u0430\u0442\u0438 \u0439 \u0447\u0430\u0441\u0443, \u0430 \u0442\u043e\u043c\u0443 \u043d\u0435 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430 \u00ab\u0447\u0430\u0441\u00bb.<\/span><\/p>\n
 \u0429\u043e\u0431 \u0443\u043d\u0438\u043a\u043d\u0443\u0442\u0438 \u0446\u0456\u0454\u0457 \u043f\u043e\u043c\u0438\u043b\u043a\u0438, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e pandas to_datetime()<\/strong> \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0443 \u0444\u043e\u0440\u043c\u0430\u0442 datetime:<\/span><\/p>\n
 #convert index column to datetime format\n<\/span>df. index<\/span> = pd. to_datetime<\/span> ( df.index<\/span> )\n\n#create new column that contains hour of index column\n<\/span>df[' hour<\/span> '] = df. index<\/span> . hour<\/span>\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n                    product sales hour\ntime                                    \n2022-04-15 10:15:00 At 12 10\n2022-05-19 07:14:00 B 25 7\n2022-08-01 01:14:00 C 23 1\n2022-06-14 09:45:00 D 18 9\n2022-10-24 02:58:00 E 14 2\n2022-12-13 11:03:00 F 10 11\n<\/span><\/span><\/strong><\/pre>\n
 \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0447\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e to_datetime(),<\/strong> \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u0443 \u0444\u043e\u0440\u043c\u0430\u0442 \u0434\u0430\u0442\u0438 \u0439 \u0447\u0430\u0441\u0443.<\/span><\/p>\n
 \u041e\u0442\u0436\u0435, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0443\u0441\u043f\u0456\u0448\u043d\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e \u0447\u0430\u0441<\/strong> , \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0433\u043e\u0434\u0438\u043d\u043d\u0438\u0439 \u0447\u0430\u0441 \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u0456\u043d\u0434\u0435\u043a\u0441\u0443, \u043d\u0435 \u043e\u0442\u0440\u0438\u043c\u0443\u044e\u0447\u0438 \u0436\u043e\u0434\u043d\u0438\u0445 \u043f\u043e\u043c\u0438\u043b\u043e\u043a.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> . \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 pandas to_datetime()<\/strong> \u0442\u0443\u0442<\/a> .<\/span><\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0432 pandas:<\/span><\/p>\n
 \u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u043f\u0430\u0437\u043e\u043d \u0434\u0430\u0442 \u0443 Pandas<\/a>
 \u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043f\u043e\u0437\u043d\u0430\u0447\u043a\u0443 \u0447\u0430\u0441\u0443 \u0432 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 \u0443 Pandas<\/a>
 \u042f\u043a \u0440\u043e\u0437\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u0440\u0456\u0437\u043d\u0438\u0446\u044e \u043c\u0456\u0436 \u0434\u0432\u043e\u043c\u0430 \u0434\u0430\u0442\u0430\u043c\u0438 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 pandas DataFrame \u0443 \u0444\u043e\u0440\u043c\u0430\u0442 \u0434\u0430\u0442\u0438 \u0439 \u0447\u0430\u0441\u0443: df. index = pd. to_datetime ( df.index ) \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456. \u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0456\u043d\u0434\u0435\u043a\u0441\u0443 \u043d\u0430 \u0434\u0430\u0442\u0443 \u0439 \u0447\u0430\u0441 \u0443 Pandas \u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u043e, \u0449\u043e \u0443 \u043d\u0430\u0441 \u0454 \u0442\u0430\u043a\u0438\u0439 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u0438\u0445 pandas, \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nPandas: \u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0456\u043d\u0434\u0435\u043a\u0441 \u043d\u0430 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 - Statorials<\/title>\n<meta name=\"description\" content=\"\u0423 \u0446\u044c\u043e\u043c\u0443 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a\u0443 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 pandas DataFrame \u043d\u0430 \u0434\u0430\u0442\u0443 \u0439 \u0447\u0430\u0441 \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c.\" \/>\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\/uk\/pandas-\u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u044e\u0454-\u0456\u043d\u0434\u0435\u043a\u0441-\u043d\u0430-\u0434\u0430\u0442\u0443-\u0456-\u0447\u0430\u0441\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0456\u043d\u0434\u0435\u043a\u0441 \u043d\u0430 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u0423 \u0446\u044c\u043e\u043c\u0443 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a\u0443 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0456\u043d\u0434\u0435\u043a\u0441\u0443 pandas DataFrame \u043d\u0430 \u0434\u0430\u0442\u0443 \u0439 \u0447\u0430\u0441 \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/pandas-\u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u044e\u0454-\u0456\u043d\u0434\u0435\u043a\u0441-\u043d\u0430-\u0434\u0430\u0442\u0443-\u0456-\u0447\u0430\u0441\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T03:37:40+00:00\" \/>\n<meta name=\"author\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430\" \/>\n<script type=\"application\/ld+json\" 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