{"id":896,"date":"2023-07-28T09:27:40","date_gmt":"2023-07-28T09:27:40","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a1%e1%86%ab\/"},"modified":"2023-07-28T09:27:40","modified_gmt":"2023-07-28T09:27:40","slug":"%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a1%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a1%e1%86%ab\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5f4\uc744 datetime\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\uc885\uc885 Pandas DataFrame\uc758 \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc744 DateTime \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ub370 \uad00\uc2ec\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 to_datetime()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c DataFrame\uc5d0\uc11c \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'event': ['A', 'B', 'C'],\n                   'start_date': ['20150601', '20160201', '20170401'],\n                   'end_date': ['20150608', '20160209', '20170416'] })\n\n#view DataFrame\n<\/span>df\n\n\tevent start_date end_date\n0 A 20150601 20150608\n1 B 20160201 20160209\n2 C 20170401 201704161\n\n#view column data types\n<\/span>df. dtypes\n\nevent object\nstart_date object\nend_date object\ndtype:object<\/span><\/span><\/strong><\/pre>\n
 \uc608 1: \ub2e8\uc77c \uc5f4\uc744 DateTime\uc73c\ub85c \ubcc0\ud658<\/span><\/strong><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 “start_date” \uc5f4\uc744 \ubb38\uc790\uc5f4\uc5d0\uc11c DateTime \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #convert start_date to DateTime format<\/span>\ndf['start_date'] = pd. to_datetime<\/span> (df['start_date'])\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 2015-06-01 20150608\n1 B 2016-02-01 20160209\n2 C 2017-04-01 20170416\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date object\ndtype:object<\/strong><\/pre>\n
 to_datetime() \ud568\uc218\ub294 \uc9c0\ub2a5\uc801\uc774\uba70 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ud560 \uc62c\ubc14\ub978 \ub0a0\uc9dc \ud615\uc2dd\uc744 \ucd94\ub860\ud560 \uc218 \uc788\uc9c0\ub9cc \ud615\uc2dd<\/strong> \uc778\uc218\uc640 \ud568\uaed8 \uc0ac\uc6a9\ud560 \ud615\uc2dd\uc744 \uc9c0\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #convert start_date to DateTime format<\/span>\ndf['start_date'] = pd. to_datetime<\/span> (df['start_date'], format=' %Y%m%d<\/span> ')\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 2015-06-01 20150608\n1 B 2016-02-01 20160209\n2 C 2017-04-01 20170416\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date object\ndtype:object<\/strong><\/pre>\n
 \uc608 2: \uc5ec\ub7ec \uc5f4\uc744 DateTime\uc73c\ub85c \ubcc0\ud658<\/span><\/strong><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 “start_date” \ubc0f “end_date” \uc5f4\uc744 \ubb38\uc790\uc5f4\uc5d0\uc11c DateTime \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #convert start_date and end_date to DateTime formats<\/span>\ndf[['start_date', 'end_date']] = df[['start_date', 'end_date']]. apply<\/span> (pd. to_datetime<\/span> )\n\n#view DataFrame\n<\/span>df\n\n\tevent start_date end_date\n0 A 2015-06-01 2015-06-08\n1 B 2016-02-01 2016-02-09\n2 C 2017-04-01 2017-04-16\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date datetime64[ns]\ndtype:object<\/strong><\/pre>\n
 \uc608 3: \uc5f4\uc744 \ucd08 \ub2e8\uc704\uc758 DateTime \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658<\/span><\/strong><\/h3>\n
 \uacbd\uc6b0\uc5d0 \ub530\ub77c \ub2e4\uc74c DataFrame\uacfc \uac19\uc774 \ub0a0\uc9dc\ub294 \ubb3c\ub860 \uc2dc, \ubd84, \ucd08\ub97c \ud3ec\ud568\ud558\ub294 \uc5f4\uc774 \uc788\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #createDataFrame<\/span>\ndf = pd.DataFrame({'event': ['A', 'B', 'C'],\n                   'start_date': ['20150601043000', '20160201054500', '20170401021215'],\n                   'end_date': ['20150608', '20160209', '20170416'] })\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 20150601043000 20150608\n1 B 20160201054500 20160209\n2 C 20170401021215 20170416\n<\/strong><\/pre>\n
 \ub2e4\uc2dc \ub9d0\ud558\uc9c0\ub9cc, to_datetime() \ud568\uc218\ub294 \ub611\ub611\ud558\uba70 \uc77c\ubc18\uc801\uc73c\ub85c \uc9c0\uc815\ud558\uc9c0 \uc54a\uace0\ub3c4 \uc0ac\uc6a9\ud560 \uc62c\ubc14\ub978 \ud615\uc2dd\uc744 \ucd94\ub860\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #convert start_date to DateTime format<\/span>\ndf['start_date'] = pd. to_datetime<\/span> (df['start_date'])\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 2015-06-01 04:30:00 20150608\n1 B 2016-02-01 05:45:00 20160209\n2 C 2017-04-01 02:12:15 20170416\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date object\ndtype:object<\/strong><\/pre>\n
 \ubb3c\ub860, \uc2e4\uc81c\ub85c\ub294 \ub2e4\uc591\ud55c \uc774\uc0c1\ud55c DateTime \ud615\uc2dd\uc744 \uc811\ud558\uac8c \ub420 \uc218 \uc788\uc73c\ubbc0\ub85c Python\uc5d0\uc11c \uc0ac\uc6a9\ud560 DateTime \ud615\uc2dd\uc744 \uc815\ud655\ud788 \uc54c\ub824\uc8fc\uae30 \uc704\ud574 format<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud574\uc57c \ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub7ec\ud55c \uacbd\uc6b0<\/a><\/span> \ud615\uc2dd\uc744 \uc9c0\uc815\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 %DateTime \uc5f0\uc0b0\uc790\uc758 \uc804\uccb4 \ubaa9\ub85d\uc744 \ubcf4\ub824\uba74 \uc774 \ud398\uc774\uc9c0\ub97c \ucc38\uc870\ud558\uc138\uc694.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Pandas\uc5d0\uc11c DateTime\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc885\uc885 Pandas DataFrame\uc758 \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc744 DateTime \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ub370 \uad00\uc2ec\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 to_datetime() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c DataFrame\uc5d0\uc11c \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import numpy as np import pandas as pd #createDataFrame df = pd.DataFrame({‘event’: [‘A’, ‘B’, ‘C’], ‘start_date’: [‘20150601’, ‘20160201’, ‘20170401’], ‘end_date’: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-896","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c \uc5f4\uc744 DateTime\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Pandas\uc5d0\uc11c DataFrame \uc5f4\uc744 DateTime \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\ub2c8\ub2e4.\" \/>\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\/ko\/\u110b\u1167\u11af\u110b\u1173\u11af-\u1111\u1162\u11ab\u1103\u1165-\u1102\u1161\u11af\u110d\u1161-\u1109\u1175\u1100\u1161\u11ab\/\" \/>\n<meta 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