{"id":3853,"date":"2023-07-15T03:52:31","date_gmt":"2023-07-15T03:52:31","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%a9%e1%84%80%e1%85%a5%e1%86%ab%e1%84%87%e1%85%ae-%e1%84%89%e1%85%a5%e1%84%89%e1%85%b5%e1%86%a8\/"},"modified":"2023-07-15T03:52:31","modified_gmt":"2023-07-15T03:52:31","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%a9%e1%84%80%e1%85%a5%e1%86%ab%e1%84%87%e1%85%ae-%e1%84%89%e1%85%a5%e1%84%89%e1%85%b5%e1%86%a8","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%8c%e1%85%a9%e1%84%80%e1%85%a5%e1%86%ab%e1%84%87%e1%85%ae-%e1%84%89%e1%85%a5%e1%84%89%e1%85%b5%e1%86%a8\/","title":{"rendered":"Pandas: \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc801\uc6a9\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><b>df.style.applymap()<\/b> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\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: Pandas\uc758 \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd \uc801\uc6a9<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\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> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [4, 5, 5, 4, 9, 12, 11, 8],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [3, 9, 12, 4, 4, 9, 8, 2]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   points assists rebounds\n0 18 4 3\n1 22 5 9\n2 19 5 12\n3 14 4 4\n4 14 9 4\n5 11 12 9\n6 20 11 8\n7 28 8 2\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac12\uc774 10\ubcf4\ub2e4 \uc791\uc740 DataFrame\uc758 \uac01 \uc140\uc5d0 \uc5f0\ud55c \ub179\uc0c9 \ubc30\uacbd\uc744 \uc801\uc6a9\ud560 \uc218 \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;\">#define function for conditional formatting\n<\/span><span style=\"color: #008000;\">def<\/span> <span style=\"color: #3366ff;\">cond_formatting<\/span> (x):\n    <span style=\"color: #008000;\">if<\/span> x &lt; <span style=\"color: #008000;\">10<\/span> :\n        <span style=\"color: #008000;\">return<\/span> ' <span style=\"color: #ff0000;\">background-color: lightgreen<\/span> '\n    <span style=\"color: #008000;\">else<\/span> :\n        <span style=\"color: #008000;\">return<\/span> <span style=\"color: #008000;\">None<\/span>\n    \n<span style=\"color: #008080;\">#display DataFrame with conditional formatting applied    \n<\/span>df. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">applymap<\/span> (cond_formatting)<\/span>\n<\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-31152\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/condition1.jpg\" alt=\"\ud32c\ub354 \uc870\uac74\ubd80 \uc11c\uc2dd\" width=\"220\" height=\"296\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uac12\uc774 10\ubcf4\ub2e4 \uc791\uc740 DataFrame\uc758 \ubaa8\ub4e0 \uc140\uc740 \uc774\uc81c \uc5f0\ud55c \ub179\uc0c9 \ubc30\uacbd\uc744 \uac16\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : Jupyter \ub178\ud2b8\ubd81\uc5d0\uc11c \uc870\uac74\ubd80 \uc11c\uc2dd\uc774 \uc791\ub3d9\ud558\uc9c0 \uc54a\ub294 \uacbd\uc6b0 \uba3c\uc800 <strong>%pip install Jinja2<\/strong> \uba85\ub839\uc744 \uc2e4\ud589\ud558\uc138\uc694.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c <strong>\uc0c9\uc0c1<\/strong> \ubc0f <strong>\uae00\uaf34 \ub450\uaed8<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubcf4\ub2e4 \ubcf5\uc7a1\ud55c \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc801\uc6a9\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub97c \uc218\ud589\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#define function for conditional formatting\n<\/span><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">def<\/span> <span style=\"color: #3366ff;\">cond_formatting<\/span> (x):\n    <span style=\"color: #008000;\">if<\/span> x &lt; <span style=\"color: #008000;\">10<\/span> :\n        <span style=\"color: #008000;\">return<\/span> ' <span style=\"color: #ff0000;\">background-color: lightgreen; color:red; font-weight:bold<\/span> '\n    <span style=\"color: #008000;\">elif<\/span> x &lt; <span style=\"color: #008000;\">15<\/span> :\n        <span style=\"color: #008000;\">return<\/span> ' <span style=\"color: #ff0000;\">background-color:yellow<\/span> '\n    <span style=\"color: #008000;\">else<\/span> :<\/span>\n        return None<\/span>\n    \n<span style=\"color: #008080;\">#display DataFrame with conditional formatting applied    \n<\/span>df. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">applymap<\/span> (cond_formatting)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-31153\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/condi2.jpg\" alt=\"\uc5ec\ub7ec \uc870\uac74\uc744 \uc0ac\uc6a9\ud55c pandas \uc870\uac74\ubd80 \uc11c\uc2dd\" width=\"226\" height=\"297\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c \uc870\uac74\ubd80 \uc11c\uc2dd \uae30\ub2a5\uc774 \uc791\ub3d9\ud558\ub294 \ubc29\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>10<\/strong> \ubcf4\ub2e4 \uc791\uc740 \uac12\uc758 \uacbd\uc6b0 \ubc1d\uc740 \ub179\uc0c9 \ubc30\uacbd\uc5d0 \uad75\uc740 \ube68\uac04\uc0c9 \uae00\uaf34\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac12\uc774 <strong>10<\/strong> \uc774\uc0c1 <strong>15<\/strong> \ubbf8\ub9cc\uc778 \uacbd\uc6b0 \ub178\ub780\uc0c9 \ubc30\uacbd\uc744 \uc0ac\uc6a9\ud558\uc138\uc694.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>15<\/strong> \ubcf4\ub2e4 \ud070 \uac12\uc758 \uacbd\uc6b0 \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc9c0 \ub9c8\uc138\uc694.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uc6d0\ud558\ub294 \ub9cc\ud07c DataFrame\uc758 \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd \uaddc\uce59\uc744 \uc801\uc6a9\ud558\ub824\ub294 \ub9cc\ud07c <strong>if<\/strong> , <strong>elif<\/strong> \ubc0f <strong>else<\/strong> \ud568\uc218\ub97c \uc790\uc720\ub86d\uac8c \uc0ac\uc6a9\ud558\uc138\uc694.<\/span><\/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-\u1103\u1166\u110b\u1175\u1110\u1165-\u1111\u1173\u1105\u1166\u110b\u1175\u11b7-\u110c\u1166\u1106\u1169\u11a8\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc5d0 \ud14c\uc774\ube14 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1106\u1169\u1103\u1173\u11ab-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1111\u116d\u1109\u1175\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc758 \ubaa8\ub4e0 \ud589\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1106\u1169\u1103\u1173\u11ab-\u110b\u1167\u11af\u110b\u1173\u11af-\u1111\u116d\u1109\u1175\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc758 \ubaa8\ub4e0 \uc5f4\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>df.style.applymap() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608: Pandas\uc758 \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd \uc801\uc6a9 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; points &#8216;: [18, 22, 19, 14, 14, 11, [&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-3853","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: \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc801\uc6a9\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 \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc801\uc6a9\ud558\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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u110c\u1169\u1100\u1165\u11ab\u1107\u116e-\u1109\u1165\u1109\u1175\u11a8\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \uc140\uc5d0 \uc870\uac74\ubd80 \uc11c\uc2dd\uc744 \uc801\uc6a9\ud558\ub294 \ubc29\ubc95 - 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