{"id":3272,"date":"2023-07-18T08:36:45","date_gmt":"2023-07-18T08:36:45","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-a-%e1%84%83%e1%85%a2-loc\/"},"modified":"2023-07-18T08:36:45","modified_gmt":"2023-07-18T08:36:45","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-a-%e1%84%83%e1%85%a2-loc","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-a-%e1%84%83%e1%85%a2-loc\/","title":{"rendered":"Pandas\uc640 loc: \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc778\uac00\uc694?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Pandas DataFrame\uc758 \ud589\uacfc \uc5f4\uc744 \uc120\ud0dd\ud560 \ub54c <b>.loc<\/b> \ubc0f <strong>.at\ub294<\/strong> \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ub450 \uac00\uc9c0 \uae30\ub2a5\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 \uae30\ub2a5\uc758 \ubbf8\ubb18\ud55c \ucc28\uc774\uc810\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>.loc\ub294<\/strong> \uc5ec\ub7ec \ud589\uacfc \uc5f4\uc744 \uc785\ub825 \uc778\uc218\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>.at\ub294<\/strong> \ub2e8\uc77c \ud589\uacfc \uc5f4\ub9cc \uc785\ub825 \uc778\uc218\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \ud568\uc218\ub97c \uc0ac\uc6a9\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\n<\/span>df = 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\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608 1: Pandas\uc5d0\uc11c loc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>.loc\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ud3ec\uc778\ud2b8 \uc5f4\uc758 \uc778\ub371\uc2a4 \uc704\uce58 0\uc5d0 \uc788\ub294 DataFrame\uc758 \uac12\uc5d0 \uc561\uc138\uc2a4\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;\">#select value located at index position 0 of the points column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [0, ' <span style=\"color: #ff0000;\">points<\/span> ']\n\n18<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ub294 <strong>18<\/strong> \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>.loc\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc778\ub371\uc2a4 \uac12 0\uacfc 4 \uc0ac\uc774\uc758 \ud589\uacfc \ud3ec\uc778\ud2b8 \ubc0f \uc5b4\uc2dc\uc2a4\ud2b8 \uc5f4\uc5d0 \uc561\uc138\uc2a4\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#select rows between index values 0 and 4 and columns 'points' and 'assists'\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [0:4, [' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ']]\n\n        assist points\n0 18 5\n1 22 7\n2 19 7\n3 14 9\n4 14 12<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e8\uc77c \uac12\uc5d0 \uc561\uc138\uc2a4\ud558\ub4e0 \ud589\uacfc \uc5f4 \uadf8\ub8f9\uc5d0 \uc561\uc138\uc2a4\ud558\ub4e0 <strong>.loc<\/strong> \ud568\uc218\ub294 \ub450 \uac00\uc9c0 \ubaa8\ub450\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608 2: Pandas\uc5d0\uc11c at\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>.at\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ud3ec\uc778\ud2b8 \uc5f4\uc758 \uc778\ub371\uc2a4 \uc704\uce58 0\uc5d0 \uc788\ub294 DataFrame\uc758 \uac12\uc5d0 \uc561\uc138\uc2a4\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;\">#select value located at index position 0 of the points column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">at<\/span> [0, ' <span style=\"color: #ff0000;\">points<\/span> ']\n\n18<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ub294 <strong>18<\/strong> \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 <b>at\uc744<\/b> \uc0ac\uc6a9\ud558\uc5ec \uc778\ub371\uc2a4 \uac12 0\uacfc 4 \uc0ac\uc774\uc758 \ud589\uacfc \ud3ec\uc778\ud2b8 \ubc0f \uc5b4\uc2dc\uc2a4\ud2b8 \uc5f4\uc5d0 \uc561\uc138\uc2a4\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#try to select rows between index values 0 and 4 and columns 'points' and 'assists'\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">at<\/span> [0:4, [' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ']]<\/span>\n\n<span style=\"color: #000000;\"><span style=\"color: #ff0000;\">TypeError<\/span> : unhashable type: 'list'\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>at<\/strong> \ud568\uc218\uac00 \uc5ec\ub7ec \ud589\uc774\ub098 \uc5ec\ub7ec \uc5f4\uc744 \uc785\ub825 \uc778\uc218\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc5c6\uae30 \ub54c\ubb38\uc5d0 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong><span style=\"color: #000000;\">\uacb0\ub860<\/span><\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Pandas DataFrame\uc758 \ub2e8\uc77c \uac12\uc5d0 \uc561\uc138\uc2a4\ud558\ub824\ub294 \uacbd\uc6b0 <strong>loc<\/strong> \ubc0f <strong>at<\/strong> \ud568\uc218\uac00 \uc81c\ub300\ub85c \uc791\ub3d9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 \ud589\uacfc \uc5f4 \uadf8\ub8f9\uc5d0 \uc561\uc138\uc2a4\ud558\ub824\ub294 \uacbd\uc6b0 <strong>loc<\/strong> \ud568\uc218\ub9cc \uadf8\ub807\uac8c \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong><a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-loc-\u1103\u1162-iloc\/\" target=\"_blank\" rel=\"noopener\">Pandas loc vs iloc: \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc778\uac00\uc694?<\/a><\/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-loc-\u110b\u1167\u1105\u1165-\u110c\u1169\u1100\u1165\u11ab\/\" target=\"_blank\" rel=\"noopener\">Pandas Loc\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \uc870\uac74\uc5d0 \ub530\ub77c \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.\/\">Pandas\uc5d0\uc11c \uc5f4 \uac12\uc744 \uae30\uc900\uc73c\ub85c \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\u1175\u11ab\u1103\u1166\u11a8\u1109\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 \uc778\ub371\uc2a4\ub85c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pandas DataFrame\uc758 \ud589\uacfc \uc5f4\uc744 \uc120\ud0dd\ud560 \ub54c .loc \ubc0f .at\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ub450 \uac00\uc9c0 \uae30\ub2a5\uc785\ub2c8\ub2e4. \ub450 \uae30\ub2a5\uc758 \ubbf8\ubb18\ud55c \ucc28\uc774\uc810\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. .loc\ub294 \uc5ec\ub7ec \ud589\uacfc \uc5f4\uc744 \uc785\ub825 \uc778\uc218\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. .at\ub294 \ub2e8\uc77c \ud589\uacfc \uc5f4\ub9cc \uc785\ub825 \uc778\uc218\ub85c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \uc608\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd #createDataFrame df [&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-3272","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\uc640 loc: \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc778\uac00\uc694? - \uace0\uc815\uc790<\/title>\n<meta name=\"description\" content=\"\uc774 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