{"id":4237,"date":"2023-07-12T15:01:15","date_gmt":"2023-07-12T15:01:15","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1%e1%84%8b%e1%85%aa-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a1%e1%86%ab-%e1%84%8b\/"},"modified":"2023-07-12T15:01:15","modified_gmt":"2023-07-12T15:01:15","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1%e1%84%8b%e1%85%aa-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a1%e1%86%ab-%e1%84%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1%e1%84%8b%e1%85%aa-%e1%84%89%e1%85%b5%e1%84%80%e1%85%a1%e1%86%ab-%e1%84%8b\/","title":{"rendered":"Pandas: \ub0a0\uc9dc \ubc0f \uc2dc\uac04 \uc5f4\uc744 \uacb0\ud569\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \ub0a0\uc9dc \ubc0f \uc2dc\uac04 \uc5f4\uc744 \ub2e8\uc77c \uc5f4\ub85c \uacb0\ud569\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">datetime<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '] + ' ' + df[' <span style=\"color: #ff0000;\">time<\/span> '])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uad6c\ubb38\uc5d0\uc11c\ub294 <strong>\ub0a0\uc9dc<\/strong> \ubc0f <strong>\uc2dc\uac04<\/strong> \uc5f4\uc774 \ubaa8\ub450 \ud604\uc7ac \ubb38\uc790\uc5f4\uc774\ub77c\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 \uc5f4\uc774 \ubaa8\ub450 \ubb38\uc790\uc5f4\uc774 \uc544\ub2cc \uacbd\uc6b0 <strong>astype(str)\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">datetime<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> ( <span style=\"color: #008000;\">str<\/span> ) + ' ' + df[' <span style=\"color: #ff0000;\">time<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> ( <span style=\"color: #008000;\">str<\/span> ))<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: Pandas\uc5d0\uc11c \ub0a0\uc9dc \ubc0f \uc2dc\uac04 \uc5f4 \uacb0\ud569<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub0a0\uc9dc \uc5f4\uacfc \uc2dc\uac04 \uc5f4\uc744 \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': ['10-1-2023', '10-4-2023', '10-6-2023', '10-6-2023',\n                            '10-14-2023', '10-15-2023', '10-29-2023'],\n                   ' <span style=\"color: #ff0000;\">time<\/span> ': ['4:15:00', '7:16:04', '9:25:00', '10:13:45',\n                            '15:30:00', '18:15:00', '23:15:00']})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n         date time\n0 10-1-2023 4:15:00\n1 10-4-2023 7:16:04\n2 10-6-2023 9:25:00\n3 10-6-2023 10:13:45\n4 10-14-2023 15:30:00\n5 10-15-2023 18:15:00\n6 10-29-2023 23:15:00\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ub0a0\uc9dc<\/strong> \ubc0f <strong>\uc2dc\uac04<\/strong> \uc5f4\uc758 \uac12\uc744 \uacb0\ud569\ud558\ub294 <strong>datetime<\/strong> \uc774\ub77c\ub294 \uc0c8 \uc5f4\uc744 \uc0dd\uc131\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \uc704\ud574 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new datetime column<\/span>\ndf[' <span style=\"color: #ff0000;\">datetime<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '] + ' ' + df[' <span style=\"color: #ff0000;\">time<\/span> '])\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n         datetime datetime\n0 10-1-2023 4:15:00 2023-10-01 04:15:00\n1 10-4-2023 7:16:04 2023-10-04 07:16:04\n2 10-6-2023 9:25:00 2023-10-06 09:25:00\n3 10-6-2023 10:13:45 2023-10-06 10:13:45\n4 10-14-2023 15:30:00 2023-10-14 15:30:00\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc0c8\ub85c\uc6b4 <strong>\ub0a0\uc9dc\/\uc2dc\uac04<\/strong> \uc5f4\uc740 <strong>\ub0a0\uc9dc<\/strong> \ubc0f <strong>\uc2dc\uac04<\/strong> \uc5f4\uc758 \uac12\uc744 \ub2e8\uc77c \uc5f4\ub85c \uc131\uacf5\uc801\uc73c\ub85c \uacb0\ud569\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c <strong>dtypes<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc758 \uac01 \uc5f4\uc758 \ub370\uc774\ud130 \uc720\ud615\uc744 \ud655\uc778\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#view data type of each column\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">date object\ntime object\ndatetime datetime64[ns]\ndtype:object\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c <strong>\ub0a0\uc9dc<\/strong> \ubc0f <strong>\uc2dc\uac04<\/strong> \uc5f4\uc740 \ubaa8\ub450 \uac1d\uccb4(\uc608: \ubb38\uc790\uc5f4)\uc774\uace0 \uc0c8 <strong>\ub0a0\uc9dc\/\uc2dc\uac04<\/strong> \uc5f4\uc740 \ub0a0\uc9dc\/\uc2dc\uac04\uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.to_datetime.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> pandas <strong>to_datetime()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1100\u1175\u1100\u1161\u11ab\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ub0a0\uc9dc \ubc94\uc704\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1110\u1161\u110b\u1175\u11b7\u1109\u1173\u1110\u1162\u11b7\u1111\u1173-\u1102\u1161\u11af\u110d\u1161-\u1109\u1175\u1100\u1161\u11ab\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ud0c0\uc784\uc2a4\ud0ec\ud504\ub97c \ub0a0\uc9dc\/\uc2dc\uac04\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u110b\u1174-\u1102\u1161\u11af\u110d\u1161-\u110e\u1161\u110b\u1175\/\" target=\"_blank\" rel=\"noopener\">\ud32c\ub354\uc5d0\uc11c \ub450 \ub0a0\uc9dc\uc758 \ucc28\uc774\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \ub0a0\uc9dc \ubc0f \uc2dc\uac04 \uc5f4\uc744 \ub2e8\uc77c \uc5f4\ub85c \uacb0\ud569\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[&#8216; datetime &#8216;] = pd. to_datetime (df[&#8216; date &#8216;] + &#8216; &#8216; + df[&#8216; time &#8216;]) \uc774 \uad6c\ubb38\uc5d0\uc11c\ub294 \ub0a0\uc9dc \ubc0f \uc2dc\uac04 \uc5f4\uc774 \ubaa8\ub450 \ud604\uc7ac \ubb38\uc790\uc5f4\uc774\ub77c\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \ub450 \uc5f4\uc774 \ubaa8\ub450 \ubb38\uc790\uc5f4\uc774 \uc544\ub2cc \uacbd\uc6b0 astype(str)\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[&#8216; datetime &#8216;] [&hellip;]<\/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-4237","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas: \ub0a0\uc9dc\uc640 \uc2dc\uac04 \uc5f4\uc744 \uacb0\ud569\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc758 \ub0a0\uc9dc \ubc0f \uc2dc\uac04 \uc5f4\uc744 \uacb0\ud569\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\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\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1102\u1161\u11af\u110d\u1161\u110b\u116a-\u1109\u1175\u1100\u1161\u11ab-\u110b\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \ub0a0\uc9dc\uc640 \uc2dc\uac04 \uc5f4\uc744 \uacb0\ud569\ud558\ub294 \ubc29\ubc95 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc758 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