{"id":3780,"date":"2023-07-15T14:08:32","date_gmt":"2023-07-15T14:08:32","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%87%e1%85%ae%e1%84%8b%e1%85%ae%e1%86%af-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%84%85%e1%85%a9\/"},"modified":"2023-07-15T14:08:32","modified_gmt":"2023-07-15T14:08:32","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%87%e1%85%ae%e1%84%8b%e1%85%ae%e1%86%af-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%84%85%e1%85%a9","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%87%e1%85%ae%e1%84%8b%e1%85%ae%e1%86%af-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%84%85%e1%85%a9\/","title":{"rendered":"Pandas: \ubd80\uc6b8 \uacc4\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec dataframe\uc5d0\uc11c \ud589 \uc120\ud0dd"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubd80\uc6b8 \uacc4\uc5f4 \uac12\uc744 \uae30\ubc18\uc73c\ub85c pandas DataFrame\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define boolean series<\/span>\nbools = pd. <span style=\"color: #3366ff;\">Series<\/span> ([ <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">True<\/span> ])\n\n<span style=\"color: #008080;\">#select rows in DataFrame based on values in boolean series\n<\/span>df[bools. <span style=\"color: #3366ff;\">values<\/span> ]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \ud1b5\ud574 \ubd80\uc6b8 \uacc4\uc5f4\uc758 \ud574\ub2f9 \uac12\uc774 <strong>True<\/strong> \uc778 pandas DataFrame\uc758 \uac01 \ud589\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: \ubd80\uc6b8 \uacc4\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ud589 \uc120\ud0dd<\/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;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\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\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubd80\uc6b8 \uacc4\uc5f4\uc758 \ud574\ub2f9 \uac12\uc774 <strong>True<\/strong> \uc778 DataFrame\uc758 \ubaa8\ub4e0 \ud589\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define boolean series<\/span>\nbools = pd. <span style=\"color: #3366ff;\">Series<\/span> ([ <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">True<\/span> ])\n\n<span style=\"color: #008080;\">#select rows in DataFrame based on values in boolean series\n<\/span>df[bools. <span style=\"color: #3366ff;\">values<\/span> ]\n\n     team points assists rebounds\n0 A 18 5 11\n2 C 19 7 10\n3 D 14 9 6\n7:28 4 12\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubc18\ud658\ub418\ub294 \uc720\uc77c\ud55c \ud589\uc740 \ubd80\uc6b8 \uacc4\uc5f4\uc758 \ud574\ub2f9 \uac12\uc774 <strong>True<\/strong> \uc778 \ud589\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec <span style=\"color: #000000;\">\ubd80\uc6b8 \uacc4\uc5f4\uc758 \ud574\ub2f9 \uac12\uc774 <strong>True<\/strong> \uc778 DataFrame\uc758 &#8220;\ud3ec\uc778\ud2b8&#8221; \uc5f4\uc5d0\uc11c \ud589\ub9cc \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define boolean series<\/span>\nbools = pd. <span style=\"color: #3366ff;\">Series<\/span> ([ <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">True<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">False<\/span> , <span style=\"color: #008000;\">True<\/span> ])\n\n<span style=\"color: #008080;\">#select rows in points column based on values in boolean series\n<\/span>df[' <span style=\"color: #ff0000;\">points<\/span> '][bools. <span style=\"color: #3366ff;\">values<\/span> ]\n\n0 18\n2 19\n3 14\n7 28\nName: points, dtype: int64\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">&#8220;points&#8221; \uc5f4\uc5d0\uc11c \ubc18\ud658\ub418\ub294 \uc720\uc77c\ud55c \ud589\uc740 \ubd80\uc6b8 \uacc4\uc5f4\uc758 \ud574\ub2f9 \uac12\uc774 <strong>True<\/strong> \uc778 \ud589\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\/pandas\u1102\u1173\u11ab-\u1106\u116e\u11ab\u110c\u1161\u110b\u1167\u11af-\u1100\u1175\u11af\u110b\u1175\u1105\u1169-\u1105\u1161\u110b\u1175\u11ab\u110b\u1173\u11af-\u1111\u1175\u11af\u1110\u1165\u1105\u1175\u11bc\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ubb38\uc790\uc5f4 \uae38\uc774\ub97c \uae30\uc900\uc73c\ub85c \ud589\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1102\u1161\u11ab-\u110b\u1165\u11b9\u110b\u1175-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1109\u1165\u11ab\u1110\u1162\u11a8\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c NaN \uac12 \uc5c6\uc774 \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u11af-\u1100\u1161\u11b9\u110b\u1173\u11af-\u1100\u1175\u1107\u1161\u11ab\u110b\u1173\u1105\u1169-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1109\u1165\u11ab\u1110\u1162\u11a8\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \uc5f4 \uac12\uc744 \uae30\uc900\uc73c\ub85c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubd80\uc6b8 \uacc4\uc5f4 \uac12\uc744 \uae30\ubc18\uc73c\ub85c pandas DataFrame\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #define boolean series bools = pd. Series ([ True , False , True , True , False , False , False , True ]) #select rows in DataFrame based on values in boolean series df[bools. values ] \uc774\ub97c \ud1b5\ud574 \ubd80\uc6b8 \uacc4\uc5f4\uc758 [&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-3780","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: \ubd80\uc6b8 \uc2dc\ub9ac\uc988\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc5d0\uc11c \ud589 \uc120\ud0dd - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ubd80\uc6b8 \uacc4\uc5f4\uc758 \uac12\uc744 \uae30\ubc18\uc73c\ub85c pandas DataFrame\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95\uc744 \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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1107\u116e\u110b\u116e\u11af-\u1109\u1175\u1105\u1175\u110c\u1173\u1105\u1169\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \ubd80\uc6b8 \uc2dc\ub9ac\uc988\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc5d0\uc11c \ud589 \uc120\ud0dd - 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