{"id":4080,"date":"2023-07-13T17:41:22","date_gmt":"2023-07-13T17:41:22","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%8e%e1%85%a2%e1%84%82%e1%85%a5%e1%86%af%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-csv%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8b\/"},"modified":"2023-07-13T17:41:22","modified_gmt":"2023-07-13T17:41:22","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%8e%e1%85%a2%e1%84%82%e1%85%a5%e1%86%af%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-csv%e1%84%85%e1%85%b3%e1%86%af-%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%8e%e1%85%a2%e1%84%82%e1%85%a5%e1%86%af%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-csv%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8b\/","title":{"rendered":"Pandas dataframe\uc758 \ubb38\uc790\uc5f4\uc5d0\uc11c csv \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c\uc744 \uc77d\uc744 \uc218 \uc788\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<span style=\"color: #008000;\">import<\/span> io   \n\ndf = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ( <span style=\"color: #3366ff;\">io.StringIO<\/span> (some_string), sep=\" <span style=\"color: #ff0000;\">,<\/span> \")\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608 1: \uc27c\ud45c\ub97c \uad6c\ubd84 \uae30\ud638\ub85c \uc0ac\uc6a9\ud558\uc5ec \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c \uc77d\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ubb38\uc790\uc5f4(\uc27c\ud45c\ub97c \uad6c\ubd84 \uae30\ud638\ub85c \uc0ac\uc6a9)\uc5d0\uc11c Pandas DataFrame\uc73c\ub85c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">\nimport<\/span> io   \n\nsome_string=\"\"\"team,points,rebounds\nA,22,10\nB,14.9\nC,29.6\nD,30.2\nE,22.9\nF,31.10\"\"\"\n\n<span style=\"color: #008080;\">#read CSV string into pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ( <span style=\"color: #3366ff;\">io.StringIO<\/span> (some_string), sep=\" <span style=\"color: #ff0000;\">,<\/span> \")\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points rebounds\n0 to 22 10\n1 B 14 9\n2 C 29 6\n3 D 30 2\n4 E 22 9\n5 F 31 10<\/strong><\/span><\/b><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uacb0\uacfc pandas DataFrame\uc5d0\ub294 CSV \ubb38\uc790\uc5f4\uc758 \uac12\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/span><b> <\/b><\/p>\n<h2><span style=\"color: #000000;\"><strong>\uc608 2: \uc138\ubbf8\ucf5c\ub860\uc744 \uad6c\ubd84 \uae30\ud638\ub85c \uc0ac\uc6a9\ud558\uc5ec \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c \uc77d\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ubb38\uc790\uc5f4(\uc138\ubbf8\ucf5c\ub860\uc744 \uad6c\ubd84 \uae30\ud638\ub85c \uc0ac\uc6a9)\uc5d0\uc11c Pandas DataFrame\uc73c\ub85c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">\nimport<\/span> io   \n\nsome_string=\"\"\"team;points;rebounds\nA;22;10\nB;14;9\nC;29;6\nD;30;2\nE;22;9\nF;31;10\"\"\"\n\n<span style=\"color: #008080;\">#read CSV string into pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> ( <span style=\"color: #3366ff;\">io.StringIO<\/span> (some_string), sep=\" <span style=\"color: #ff0000;\">;<\/span> \")\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points rebounds\n0 to 22 10\n1 B 14 9\n2 C 29 6\n3 D 30 2\n4 E 22 9\n5 F 31 10<\/strong><\/span><\/b><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc pandas DataFrame\uc5d0\ub294 CSV \ubb38\uc790\uc5f4\uc758 \uac12\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 3: \ud5e4\ub354 \uc5c6\ub294 \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c \uc77d\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ubb38\uc790\uc5f4(\ud5e4\ub354 \ud589 \uc5c6\uc774)\uc5d0\uc11c Pandas DataFrame\uc73c\ub85c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">\nimport<\/span> io   \n\nsome_string=\"\"\"A;22;10\nB;14;9\nC;29;6\nD;30;2\nE;22;9\nF;31;10\"\"\"\n\n<span style=\"color: #008080;\">#read CSV string into pandas DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_csv<\/span> (io. <span style=\"color: #3366ff;\">StringIO<\/span> (some_string), sep=\" <span style=\"color: #ff0000;\">;<\/span> \", header= <span style=\"color: #008000;\">None<\/span> )\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   0 1 2\n0 to 22 10\n1 B 14 9\n2 C 29 6\n3 D 30 2\n4 E 22 9\n5 F 31 10<\/strong><\/span><\/b><\/pre>\n<p> <span style=\"color: #000000;\"><strong>header=None<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uac8c \uccab \ubc88\uc9f8 \uc904\uc744 \ud5e4\ub354 \uc904\ub85c \uc0ac\uc6a9\ud558\uc9c0 \uc54a\ub3c4\ub85d \uc9c0\uc2dc\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae30\ubcf8\uc801\uc73c\ub85c pandas\ub294 \uc22b\uc790 \uac12 \ubc94\uc704(0, 1, 2)\ub97c DataFrame\uc758 \uc5f4 \uc774\ub984\uc73c\ub85c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.read_csv.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> pandas <strong>read_csv()<\/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 Python\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-\u110c\u1165\u11b7\u1111\u1173-\u1109\u116e\u11ab\u110b\u1171\/\" target=\"_blank\" rel=\"noopener\">Pandas: CSV \ud30c\uc77c\uc744 \uc77d\uc744 \ub54c \uc904\uc744 \uac74\ub108\ub6f0\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u110b\u1166\u1102\u1173\u11ab-csv-\u110e\u116e\u1100\u1161-\u1100\u1175\u1102\u1173\u11bc\u110b\u1175-\u110b\u1175\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas: \uae30\uc874 CSV \ud30c\uc77c\uc5d0 \ub370\uc774\ud130\ub97c \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/pandasa\u1102\u1173\u11ab-\u1112\u1166\u1103\u1165-\u110b\u1165\u11b9\u110b\u1175-csv\u1105\u1173\u11af-\u110b\u1175\u11b0\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas: \ud5e4\ub354 \uc5c6\uc774 CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-csv-\u110b\u1175\u1105\u1173\u11b7-\u110b\u1167\u11af\u110b\u1173\u11af-\u110b\u1175\u11b0\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas: CSV \ud30c\uc77c\uc744 \uac00\uc838\uc62c \ub54c \uc5f4 \uc774\ub984 \uc124\uc815<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c\uc744 \uc77d\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import pandas as pd import io df = pd. read_csv ( io.StringIO (some_string), sep=&#8221; , &#8220;) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: \uc27c\ud45c\ub97c \uad6c\ubd84 \uae30\ud638\ub85c \uc0ac\uc6a9\ud558\uc5ec \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c \uc77d\uae30 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ubb38\uc790\uc5f4(\uc27c\ud45c\ub97c \uad6c\ubd84 \uae30\ud638\ub85c \uc0ac\uc6a9)\uc5d0\uc11c Pandas DataFrame\uc73c\ub85c CSV [&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-4080","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 DataFrame\uc758 \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 pandas\uc758 \ubb38\uc790\uc5f4\uc5d0\uc11c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95\uc744 \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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