{"id":1697,"date":"2023-07-25T08:20:39","date_gmt":"2023-07-25T08:20:39","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%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%87%e1%85%a7%e1%86%af%e1%84%85%e1%85%a9-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b\/"},"modified":"2023-07-25T08:20:39","modified_gmt":"2023-07-25T08:20:39","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%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%87%e1%85%a7%e1%86%af%e1%84%85%e1%85%a9-%e1%84%8b%e1%85%a7%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%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%87%e1%85%a7%e1%86%af%e1%84%85%e1%85%a9-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b\/","title":{"rendered":"Pandas: \uc774\ub984\ubcc4\ub85c \uc5f4\uc744 \uc815\ub82c\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\uc744 \uc5f4 \uc774\ub984\ubcc4\ub85c \ube60\ub974\uac8c \uc815\ub82c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df[[' <span style=\"color: #ff0000;\">column1<\/span> ', ' <span style=\"color: #ff0000;\">column4<\/span> ', ' <span style=\"color: #ff0000;\">column3<\/span> ', ' <span style=\"color: #ff0000;\">column2<\/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<h3> <span style=\"color: #000000;\"><strong>\uc608 1: \uc5f4 \uc774\ub984\uc744 \uae30\uc900\uc73c\ub85c Pandas DataFrame \uc815\ub82c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc5f4 \uc774\ub984\uc744 \uae30\uc900\uc73c\ub85c Pandas DataFrame\uc744 \uc815\ub82c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\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>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [2, 3, 3, 2, 5, 3, 2, 1]})\n\n<span style=\"color: #008080;\">#list column names\n<\/span>list(df)\n\n['points', 'assists', 'rebounds', 'steals']\n\n<span style=\"color: #008080;\">#sort columns by names\n<\/span>df = df[[' <span style=\"color: #ff0000;\">steals<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> ']]\n\ndf\n\n\tsteals assists rebounds points\n0 2 5 11 25\n1 3 7 8 12\n2 3 7 10 15\n3 2 9 6 14\n4 5 12 6 19\n5 3 9 5 23\n6 2 9 9 25\n7 1 4 12 29\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: Pandas DataFrame\uc744 \ubaa9\ub85d\ubcc4\ub85c \uc815\ub82c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774\ub984 \ubaa9\ub85d\uc744 \uae30\uc900\uc73c\ub85c Pandas DataFrame\uc744 \uc815\ub82c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\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>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [2, 3, 3, 2, 5, 3, 2, 1]})\n\n<span style=\"color: #008080;\">#define list of column names\n<\/span>name_order = [' <span style=\"color: #ff0000;\">steals<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> ']\n\n<span style=\"color: #008080;\">#sort columns by list<\/span>\ndf = df[name_order]\n\ndf\n\n\tsteals assists rebounds points\n0 2 5 11 25\n1 3 7 8 12\n2 3 7 10 15\n3 2 9 6 14\n4 5 12 6 19\n5 3 9 5 23\n6 2 9 9 25\n7 1 4 12 29\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 3: Pandas DataFrame\uc744 \uc54c\ud30c\ubcb3\uc21c\uc73c\ub85c \uc815\ub82c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc744 \uc54c\ud30c\ubcb3\uc21c\uc73c\ub85c \uc815\ub82c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\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>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">steals<\/span> ': [2, 3, 3, 2, 5, 3, 2, 1]})\n\n<span style=\"color: #008080;\">#sort columns alphabetically\n<\/span>df = df[sorted( <span style=\"color: #3366ff;\">df.columns<\/span> )]\n\ndf\n\n\tassists points rebounds steals\n0 5 25 11 2\n1 7 12 8 3\n2 7 15 10 3\n3 9 14 6 2\n4 12 19 6 5\n5 9 23 5 3\n6 9 25 9 2\n7 4 29 12 1\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1102\u1161\u11af\u110d\u1161\u1107\u1167\u11af\u1105\u1169-\u110c\u1165\u11bc\u1105\u1167\u11af\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc744 \ub0a0\uc9dc\ubcc4\ub85c \uc815\ub82c\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1167\u11af\u110b\u1174-\u1111\u1162\u11ab\u1103\u1165-\u1100\u1169\u110b\u1172-\u1100\u1161\u11b9\/\" target=\"_blank\" rel=\"noopener\">Pandas \uc5f4\uc5d0\uc11c \uace0\uc720\ud55c \uac12\uc744 \ucc3e\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc744 \uc5f4 \uc774\ub984\ubcc4\ub85c \ube60\ub974\uac8c \uc815\ub82c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df = df[[&#8216; column1 &#8216;, &#8216; column4 &#8216;, &#8216; column3 &#8216;, &#8216; column2 &#8216;]] \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: \uc5f4 \uc774\ub984\uc744 \uae30\uc900\uc73c\ub85c Pandas DataFrame \uc815\ub82c \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc5f4 \uc774\ub984\uc744 \uae30\uc900\uc73c\ub85c Pandas DataFrame\uc744 \uc815\ub82c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd [&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-1697","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: \uc774\ub984\ubcc4\ub85c \uc5f4\uc744 \uc815\ub82c\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\ub97c \ud1b5\ud574 pandas DataFrame\uc758 \uc5f4\uc744 \uc774\ub984\ubcc4\ub85c \uc815\ub82c\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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