{"id":976,"date":"2023-07-28T03:02:01","date_gmt":"2023-07-28T03:02:01","guid":{"rendered":"https:\/\/statorials.org\/ko\/%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%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%91%e1%85%a2%e1%86%ab\/"},"modified":"2023-07-28T03:02:01","modified_gmt":"2023-07-28T03:02:01","slug":"%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%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%91%e1%85%a2%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%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%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%91%e1%85%a2%e1%86%ab\/","title":{"rendered":"Pandas\uc5d0\uc11c datetime\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\uc885\uc885 \ub0a0\uc9dc\/\uc2dc\uac04\uc744 \ud32c\ub354\uc758 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\uace0 \uc2f6\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 .dt.date<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df[' date_column<\/span> '] = pd. to_datetime<\/span> (df[' datetime_column<\/span> ']). dt<\/span> . date\n<\/span><\/strong><\/pre>\n
 \uc608: Pandas\uc758 \ub0a0\uc9dc\/\uc2dc\uac04<\/strong><\/span><\/h3>\n
 \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create pandas DataFrame with two columns\n<\/span>df = pd.DataFrame({'sales': [4, 11],\n                   'time': ['2020-01-15 20:02:58', '2020-01-18 14:43:24']})\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\nsales time\n0 4 2020-01-15 20:02:58\n1 11 2020-01-18 14:43:24\n<\/strong><\/pre>\n
 “\uc2dc\uac04” \uc5f4\uc744 \uac04\ub2e8\ud55c \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #convert datetime column to just date<\/span>\ndf[' time<\/span> '] = pd. to_datetime<\/span> (df[' time<\/span> ']). dt<\/span> . date<\/span>\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n\tsales time\n0 4 2020-01-15\n1 11 2020-01-18\n<\/strong><\/pre>\n
 \uc774\uc81c “\uc2dc\uac04” \uc5f4\uc5d0\ub294 \uc2dc\uac04 \uc5c6\uc774 \ub0a0\uc9dc\ub9cc \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 datetime64 \uc720\ud615\uc5d0 \ub300\ud574 Normalize() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n
 \uc704\uc758 \ucf54\ub4dc\ub294 \uac1d\uccb4<\/strong> \uc720\ud615\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #find dtype of each column in DataFrame<\/span>\ndf. dtypes<\/span>\n\ndirty int64\ntime object\ndtype:object<\/strong><\/pre>\n
 \ub300\uc2e0 datetime64\ub97c<\/strong> \uc6d0\ud560 \uacbd\uc6b0 \uc2dc\uac04 \uad6c\uc131 \uc694\uc18c\ub97c \uc815\uaddc\ud654()<\/strong> \ud558\uba74 \uc720\ud615\uc740 datetime64<\/strong> \ub85c \uc720\uc9c0\ub418\uc9c0\ub9cc \ub0a0\uc9dc\ub9cc \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 #convert datetime column to just date<\/span>\ndf[' time<\/span> '] = pd. to_datetime<\/span> (df[' time<\/span> ']). dt<\/span> . normalize ()<\/span><\/span>\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n\tsales time\n0 4 2020-01-15\n1 11 2020-01-18\n\n#find dtype of each column in DataFrame\n<\/span>df. dtypes\n\ndirty int64\ntime datetime64[ns]\ndtype:object<\/span><\/span>\n<\/strong><\/pre>\n
 \uc774\ubc88\uc5d0\ub3c4 \ub0a0\uc9dc\ub9cc \ud45c\uc2dc\ub418\ub294\ub370 ‘time’ \uc5f4\uc740 datetime64<\/strong> \ud615\uc2dd\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Pandas\uc5d0\uc11c \uc5f4\uc744 DateTime\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95
 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 \ub0a0\uc9dc\/\uc2dc\uac04\uc744 \ud32c\ub354\uc758 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\uace0 \uc2f6\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 .dt.date \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[‘ date_column ‘] = pd. to_datetime (df[‘ datetime_column ‘]). dt . date \uc608: Pandas\uc758 \ub0a0\uc9dc\/\uc2dc\uac04 \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. import pandas as pd #create pandas DataFrame with two columns […]<\/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-976","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c \ub0a0\uc9dc\/\uc2dc\uac04\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas\uc5d0\uc11c \ub0a0\uc9dc\/\uc2dc\uac04\uc744 \ub0a0\uc9dc\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\/\u1102\u1161\u11af\u110d\u1161-\u1109\u1175\u1100\u1161\u11ab\u110b\u1173\u11af-\u1102\u1161\u11af\u110d\u1161-\u1111\u1162\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c \ub0a0\uc9dc\/\uc2dc\uac04\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas\uc5d0\uc11c \ub0a0\uc9dc\/\uc2dc\uac04\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1102\u1161\u11af\u110d\u1161-\u1109\u1175\u1100\u1161\u11ab\u110b\u1173\u11af-\u1102\u1161\u11af\u110d\u1161-\u1111\u1162\u11ab\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T03:02:01+00:00\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/%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%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%91%e1%85%a2%e1%86%ab\/\",\"url\":\"https:\/\/statorials.org\/ko\/%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%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1-%e1%84%91%e1%85%a2%e1%86%ab\/\",\"name\":\"Pandas\uc5d0\uc11c \ub0a0\uc9dc\/\uc2dc\uac04\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - 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