{"id":2180,"date":"2023-07-23T08:49:30","date_gmt":"2023-07-23T08:49:30","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%83%e1%85%a9%e1%86%bc%e1%84%8b%e1%85%b5%e1%86%af%e1%84%92%e1%85%a1%e1%84%80%e1%85%a6-%e1%84%85%e1%85%a1%e1%84%87%e1%85%a6\/"},"modified":"2023-07-23T08:49:30","modified_gmt":"2023-07-23T08:49:30","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%83%e1%85%a9%e1%86%bc%e1%84%8b%e1%85%b5%e1%86%af%e1%84%92%e1%85%a1%e1%84%80%e1%85%a6-%e1%84%85%e1%85%a1%e1%84%87%e1%85%a6","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%83%e1%85%a9%e1%86%bc%e1%84%8b%e1%85%b5%e1%86%af%e1%84%92%e1%85%a1%e1%84%80%e1%85%a6-%e1%84%85%e1%85%a1%e1%84%87%e1%85%a6\/","title":{"rendered":"\uc218\uc815 \ubc29\ubc95: \ub3d9\uc77c\ud558\uac8c \ub77c\ubca8\uc774 \ubd99\uc740 \uc9c1\ub82c \uac1c\uccb4\ub9cc \ube44\uad50\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4."},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">pandas\ub97c \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\">ValueError<\/span> : Can only compare identically-labeled DataFrame objects\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uc624\ub958\ub294 \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ube44\uad50\ud558\ub824\uace0 \ud560 \ub54c \uc778\ub371\uc2a4 \ub808\uc774\ube14\uc774\ub098 \uc5f4 \ub808\uc774\ube14\uc774 \uc644\ubcbd\ud558\uac8c \uc77c\uce58\ud558\uc9c0 \uc54a\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ub450 \uac1c\uc758 \ud32c\ub354 DataFrame\uc774 \uc788\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: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define DataFrames\n<span style=\"color: #000000;\">df1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 13, 12]})\n\ndf2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14],\n                    ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 13, 12]},\n                     index=[3, 2, 1, 0])\n\n<span style=\"color: #008080;\">#view DataFrames\n<\/span><span style=\"color: #008000;\">print<\/span> (df1)\n\n   assist points\n0 25 5\n1 12 7\n2 15 13\n3 14 12\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n   assist points\n3 25 5\n2 12 7\n1 15 13\n0 14 12<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc5f4 \ub808\uc774\ube14\uc740 \uc77c\uce58\ud558\uc9c0\ub9cc \uc778\ub371\uc2a4 \ub808\uc774\ube14\uc740 \uc77c\uce58\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub450 DataFrame\uc744 \ube44\uad50\ud558\ub824\uace0 \ud558\uba74 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#attempt to compare the DataFrames\n<span style=\"color: #000000;\">df1 = df2\n\n<span style=\"color: #ff0000;\">ValueError<\/span> : Can only compare identically-labeled DataFrame objects\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uc774 \uc624\ub958\ub97c \ud574\uacb0\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: DataFrame \ube44\uad50(\uc0c9\uc778 \ub808\uc774\ube14 \ud3ec\ud568)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub450 DataFrame\uc744 \ube44\uad50\ud558\uc5ec (\uc778\ub371\uc2a4 \ub77c\ubca8 \ud3ec\ud568) \uc644\ubcbd\ud558\uac8c \uc77c\uce58\ud558\ub294\uc9c0 \ud655\uc778\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;\">df1. <span style=\"color: #3366ff;\">equals<\/span> (df2)\n\nFalse<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ub294 \ub450 DataFrame\uc774 \uc644\ubcbd\ud558\uac8c \uc77c\uce58\ud558\uc9c0 \uc54a\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4(\uc778\ub371\uc2a4 \ub808\uc774\ube14 \ud3ec\ud568).<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: DataFrame \ube44\uad50(\uc0c9\uc778 \ub808\uc774\ube14 \ubb34\uc2dc)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub450 DataFrame\uc744 \ube44\uad50\ud558\uc5ec \uc778\ub371\uc2a4 \ub808\uc774\ube14\uc744 \uc644\uc804\ud788 \ubb34\uc2dc\ud558\uba74\uc11c \uc644\ubcbd\ud558\uac8c \uc77c\uce58\ud558\ub294\uc9c0 \ud655\uc778\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;\">df1. <span style=\"color: #3366ff;\">reset_index<\/span> (drop= <span style=\"color: #008000;\">True<\/span> ). <span style=\"color: #3366ff;\">equals<\/span> ( <span style=\"color: #3366ff;\">df2.reset_index<\/span> (drop= <span style=\"color: #008000;\">True<\/span> ))\n<\/span>\n<span style=\"color: #000000;\">True<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ub294 \ub450 DataFrame\uc774 \uc644\ubcbd\ud558\uac8c \uc77c\uce58\ud568\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4(\uc778\ub371\uc2a4 \ub808\uc774\ube14 \ubb34\uc2dc).<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 3: DataFrame\uc744 \ud589\ubcc4\ub85c \ube44\uad50<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub450 DataFrame\uc744 \ud589\ubcc4\ub85c \ube44\uad50\ud558\uc5ec \uc5b4\ub5a4 \ud589 \uac12\uc774 \uc77c\uce58\ud558\ub294\uc9c0 \ud655\uc778\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;\">df1. <span style=\"color: #3366ff;\">reset_index<\/span> (drop= <span style=\"color: #008000;\">True<\/span> ) == df2. <span style=\"color: #3366ff;\">reset_index<\/span> (drop= <span style=\"color: #008000;\">True<\/span> )<\/span>\n\n      <span style=\"color: #000000;\">assist points\n0 True<\/span> <span style=\"color: #000000;\">True\n1 True<\/span> <span style=\"color: #000000;\">True\n2 True<\/span> <span style=\"color: #000000;\">True\n3 True<\/span> <span style=\"color: #000000;\">True<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \ud1b5\ud574 \uac01 \ud589\uc5d0\uc11c \uc5b4\ub5a4 \uac12\uc774 \uc77c\uce58\ud558\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc758 \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc624\ub958\ub97c \uc218\uc815\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-\u110f\u1175-\u110b\u1169\u1105\u1172\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c KeyError\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/valueerror\u1102\u1173\u11ab-float-nan\u110b\u1173\u11af-\u110c\u1165\u11bc\u1109\u116e\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\u1112\u1161\u11af-\u1109\u116e-\u110b\u1165\u11b9\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">\uc218\uc815 \ubc29\ubc95: ValueError: float NaN\uc744 int\ub85c \ubcc0\ud658\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1175\u110b\u1167\u11ab\u1109\u1161\u11ab\u110c\u1161\u1105\u1173\u11af-\u1103\u1161\u110b\u1173\u11b7-\u1112\u1167\u11bc\u1109\u1175\u11a8\u110b\u1173\u1105\u1169-\u1107\u1173\u1105\u1169\u1103\u1173\u110f\u1162\u1109\u1173\u1110\u1173\u1112\u1161\u11af-\u1109\u116e-\u110b\u1165\u11b9\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">\ud574\uacb0 \ubc29\ubc95: ValueError: \ud53c\uc5f0\uc0b0\uc790\ub97c \ubaa8\uc591\uacfc \ud568\uaed8 \ube0c\ub85c\ub4dc\uce90\uc2a4\ud2b8\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>pandas\ub97c \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. ValueError : Can only compare identically-labeled DataFrame objects \uc774 \uc624\ub958\ub294 \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ube44\uad50\ud558\ub824\uace0 \ud560 \ub54c \uc778\ub371\uc2a4 \ub808\uc774\ube14\uc774\ub098 \uc5f4 \ub808\uc774\ube14\uc774 \uc644\ubcbd\ud558\uac8c \uc77c\uce58\ud558\uc9c0 \uc54a\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95 \ub2e4\uc74c \ub450 \uac1c\uc758 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. import [&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-2180","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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