{"id":3338,"date":"2023-07-18T00:24:06","date_gmt":"2023-07-18T00:24:06","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%ad%e1%84%8b%e1%85%b5%e1%86%af\/"},"modified":"2023-07-18T00:24:06","modified_gmt":"2023-07-18T00:24:06","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%ad%e1%84%8b%e1%85%b5%e1%86%af","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%8b%e1%85%b4-%e1%84%8b%e1%85%ad%e1%84%8b%e1%85%b5%e1%86%af\/","title":{"rendered":"\ud32c\ub354\uc5d0\uc11c \uc694\uc77c\uc744 \ucc3e\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas\uc5d0\uc11c \uc694\uc77c\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \uc694\uc77c\uc744 \uc815\uc218\ub85c \ucc3e\uae30<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">date_column<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">weekend\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \ucc44\ub110 \uc774\ub984\uc73c\ub85c \uc694\uc77c \ucc3e\uae30<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">date_column<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">day_name<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': pd. <span style=\"color: #3366ff;\">date_range<\/span> (start='1\/5\/2022', freq='D', periods= <span style=\"color: #008000;\">10<\/span> ),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [6, 8, 9, 5, 4, 8, 8, 3, 5, 9]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n        dirty date\n0 2022-01-05 6\n1 2022-01-06 8\n2 2022-01-07 9\n3 2022-01-08 5\n4 2022-01-09 4\n5 2022-01-10 8\n6 2022-01-11 8\n7 2022-01-12 3\n8 2022-01-13 5\n9 2022-01-14 9\n<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 1: \uc694\uc77c\uc744 \uc815\uc218\ub85c \ucc3e\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>\ub0a0\uc9dc<\/strong> \uc5f4\uc758 \uc694\uc77c\uc744 \uc815\uc218\ub85c \ud45c\uc2dc\ud558\ub294 DataFrame\uc5d0 \uc0c8 \uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#add new column that displays day of week as integer\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_week<\/span> '] = df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">weekend\n<\/span><\/span>\n#view updated DataFrame\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (df)\n\n        date sales day_of_week\n0 2022-01-05 6 2\n1 2022-01-06 8 3\n2 2022-01-07 9 4\n3 2022-01-08 5 5\n4 2022-01-09 4 6\n5 2022-01-10 8 0\n6 2022-01-11 8 1\n7 2022-01-12 3 2\n8 2022-01-13 5 3\n9 2022-01-14 9 4<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc0c8\ub85c\uc6b4 <strong>day_of_week<\/strong> \uc5f4\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc694\uc77c\uc744 \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> : \uc6d4\uc694\uc77c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> : \ud654\uc694\uc77c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> : \uc218\uc694\uc77c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>3<\/strong> : \ubaa9\uc694\uc77c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>4<\/strong> : \uae08\uc694\uc77c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>5<\/strong> : \ud1a0\uc694\uc77c<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>6<\/strong> : \uc77c\uc694\uc77c<\/span><\/li>\n<\/ul>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 2: \ucc44\ub110 \uc774\ub984\uc73c\ub85c \uc694\uc77c \ucc3e\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>\ub0a0\uc9dc<\/strong> \uc5f4\uc758 \uc694\uc77c\uc744 \uc815\uc218\ub85c \ud45c\uc2dc\ud558\ub294 DataFrame\uc5d0 \uc0c8 \uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#add new column that displays day of week as string name\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_week<\/span> '] = df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">day_name<\/span> ()\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n        date sales day_of_week\n0 2022-01-05 6 Wednesday\n1 2022-01-06 8 Thursday\n2 2022-01-07 9 Friday\n3 2022-01-08 5 Saturday\n4 2022-01-09 4 Sunday\n5 2022-01-10 8 Monday\n6 2022-01-11 8 Tuesday\n7 2022-01-12 3 Wednesday\n8 2022-01-13 5 Thursday\n9 2022-01-14 9 Friday<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc0c8\ub85c\uc6b4 <strong>day_of_week<\/strong> \uc5f4\uc740 \uc694\uc77c\uc744 \ubb38\uc790\uc5f4 \uc774\ub984\uc73c\ub85c \ud45c\uc2dc\ud569\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\/\u110b\u1175\u11af\u110c\u116e\u110b\u1175\u11af\u110b\u1166-\u1111\u1162\u11ab\u1103\u1165-\u1100\u1173\u1105\u116e\u11b8\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc5d0\uc11c \uc8fc\ubcc4\ub85c \uadf8\ub8f9\ud654\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1106\u1162\u1103\u1161\u11af-\u1111\u1162\u11ab\u1103\u1165-\u1100\u1173\u1105\u116e\u11b8\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc5d0\uc11c \uc6d4\ubcc4\ub85c \uadf8\ub8f9\ud654\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas\uc5d0\uc11c \uc694\uc77c\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \uc694\uc77c\uc744 \uc815\uc218\ub85c \ucc3e\uae30 df[&#8216; date_column &#8216;]. dt . weekend \ubc29\ubc95 2: \ucc44\ub110 \uc774\ub984\uc73c\ub85c \uc694\uc77c \ucc3e\uae30 df[&#8216; date_column &#8216;]. dt . day_name () \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; date &#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-3338","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>\ud32c\ub354\uc5d0\uc11c \uc694\uc77c\uc744 \ucc3e\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc5d0\uc11c \uc694\uc77c \uac12\uc744 \ucc3e\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\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\" 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