{"id":3773,"date":"2023-07-15T15:12:09","date_gmt":"2023-07-15T15:12:09","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%a7%e1%86%af-%e1%84%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%a5\/"},"modified":"2023-07-15T15:12:09","modified_gmt":"2023-07-15T15:12:09","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%a7%e1%86%af-%e1%84%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%a5","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%a7%e1%86%af-%e1%84%8b%e1%85%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%a5\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \uc5bb\ub294 \ubc29\ubc95(3\uac00\uc9c0 \ubc29\ubc95)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \ubaa8\ub4e0 \uc5f4 \uc774\ub984 \uac00\uc838\uc624\uae30<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">list<\/span> (df)<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \uc5f4 \uc774\ub984\uc744 \uc54c\ud30c\ubcb3\uc21c\uc73c\ub85c \uac00\uc838\uc624\uae30<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">sorted<\/span> (df)\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 3: \ud2b9\uc815 \ub370\uc774\ud130 \uc720\ud615\uc758 \uc5f4 \uc774\ub984 \uac00\uc838\uc624\uae30<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">list<\/span> ( <span style=\"color: #3366ff;\">df.select_dtypes<\/span> (include=[' <span style=\"color: #ff0000;\">int64<\/span> ', ' <span style=\"color: #ff0000;\">bool<\/span> ']))<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c Pandas DataFrame\uc5d0\uc11c \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;\"> <b><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;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9],\n                   ' <span style=\"color: #ff0000;\">playoffs<\/span> ': [True, False, False, True, True, True]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists playoffs\n0 A 18 5 True\n1 B 22 7 False\n2 C 19 7 False\n3 D 14 9 True\n4 E 14 12 True\n5 F 11 9 True\n<\/b><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 1: \ubaa8\ub4e0 \uc5f4 \uc774\ub984 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">Pandas DataFrame\uc5d0\uc11c \ubaa8\ub4e0 \uc5f4 \uc774\ub984\uc744 \uac00\uc838\uc624\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc774 <strong>list()\ub97c<\/strong> \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#get all column names<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">list<\/span> (df)\n\n['team', 'points', 'assists', 'playoffs']\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uacb0\uacfc\ub294 pandas DataFrame\uc758 4\uac1c \uc5f4 \uc774\ub984\uc744 \ud3ec\ud568\ud558\ub294 \ubaa9\ub85d\uc785\ub2c8\ub2e4.<\/span><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608 2: \uc5f4 \uc774\ub984\uc744 \uc54c\ud30c\ubcb3\uc21c\uc73c\ub85c \uac00\uc838\uc624\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Pandas DataFrame\uc758 \uc5f4 \uc774\ub984\uc744 \uc54c\ud30c\ubcb3\uc21c\uc73c\ub85c \uac00\uc838\uc624\ub824\uba74 \ub2e4\uc74c\uacfc \uac19\uc774 <strong>sorted()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#get column names in alphabetical order<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">sorted<\/span> (df)\n\n['assists', 'playoffs', 'points', 'team']\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub294 \uc54c\ud30c\ubcb3 \uc21c\uc11c\ub85c \ub098\uc5f4\ub41c pandas DataFrame\uc758 4\uac1c \uc5f4 \uc774\ub984\uc744 \ud3ec\ud568\ud558\ub294 \ubaa9\ub85d\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>reverse=True<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5f4 \uc774\ub984\uc744 \uc54c\ud30c\ubcb3 \uc5ed\uc21c\uc73c\ub85c \uac00\uc838\uc62c \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#get column names in reverse alphabetical order<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">sorted<\/span> (df, reverse= <span style=\"color: #008000;\">True<\/span> )\n\n['team', 'points', 'playoffs', 'assists']<\/span><\/span><\/strong>\n<\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 3: \ud2b9\uc815 \ub370\uc774\ud130 \uc720\ud615\uc758 \uc5f4 \uc774\ub984 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc758 \uac01 \uc5f4\uc758 \ub370\uc774\ud130 \uc720\ud615\uc744 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#view data type of each column<\/span>\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">dtypes<\/span>\n\nteam object\nint64 dots\nassists int64\nplayoffs bool\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c <strong>select_dtypes()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \ub370\uc774\ud130 \uc720\ud615\uc758 \uc5f4 \uc774\ub984\ub9cc \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec <strong>int64<\/strong> \ub610\ub294 <strong>bool<\/strong> \ub370\uc774\ud130 \uc720\ud615\uc758 \uc5f4 \uc774\ub984\ub9cc \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #008080;\">#get all columns that have data type of int64 or bool<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">list<\/span> ( <span style=\"color: #3366ff;\">df.select_dtypes<\/span> (include=[' <span style=\"color: #ff0000;\">int64<\/span> ', ' <span style=\"color: #ff0000;\">bool<\/span> ']))\n\n['points', 'assists', 'playoffs']<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub294 <strong>int64<\/strong> \ub610\ub294 <strong>bool<\/strong> \ub370\uc774\ud130 \uc720\ud615\uc744 \uac16\ub294 \uc5f4 \uc774\ub984 \ubaa9\ub85d\uc785\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\u1102\u1173\u11ab-\u110b\u1167\u11af-\u110b\u1175\u1105\u1173\u11b7\u110b\u1173\u11af-\u1107\u1161\u1101\u116e\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">\ud32c\ub354: \uc5f4 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u11af\u110b\u1173\u11af-\u110b\u1175\u11ab\u1103\u1166\u11a8\u1109\u1173\u1105\u1169-\u1109\u1165\u11af\u110c\u1165\u11bc\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas: \uc5f4\uc744 \uc778\ub371\uc2a4\ub85c \uc124\uc815\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1112\u1162\u11bc-\u110b\u1175\u11ab\u1103\u1166\u11a8\u1109\u1173\u1105\u1173\u11af-\u110b\u1165\u11ae\u1109\u1173\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas: \uc5f4\uc774 \uac12\uacfc \uc77c\uce58\ud558\ub294 \ud589\uc758 \uc778\ub371\uc2a4 \uac00\uc838\uc624\uae30<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \ubaa8\ub4e0 \uc5f4 \uc774\ub984 \uac00\uc838\uc624\uae30 list (df) \ubc29\ubc95 2: \uc5f4 \uc774\ub984\uc744 \uc54c\ud30c\ubcb3\uc21c\uc73c\ub85c \uac00\uc838\uc624\uae30 sorted (df) \ubc29\ubc95 3: \ud2b9\uc815 \ub370\uc774\ud130 \uc720\ud615\uc758 \uc5f4 \uc774\ub984 \uac00\uc838\uc624\uae30 list ( df.select_dtypes (include=[&#8216; int64 &#8216;, &#8216; bool &#8216;])) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c Pandas DataFrame\uc5d0\uc11c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas [&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-3773","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\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \uc5bb\ub294 \ubc29\ubc95(3\uac00\uc9c0 \ubc29\ubc95) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Pandas DataFrame\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \uac00\uc838\uc624\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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