{"id":4309,"date":"2023-07-12T02:38:12","date_gmt":"2023-07-12T02:38:12","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8f%e1%85%af%e1%84%85%e1%85%b5-isin\/"},"modified":"2023-07-12T02:38:12","modified_gmt":"2023-07-12T02:38:12","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8f%e1%85%af%e1%84%85%e1%85%b5-isin","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%8f%e1%85%af%e1%84%85%e1%85%b5-isin\/","title":{"rendered":"Pandas: isin() \uba54\uc18c\ub4dc\ub97c query() \uba54\uc18c\ub4dc\uc640 \ud568\uaed8 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ubaa9\ub85d\uc758 \uac12\uc774 \ud3ec\ud568\ub41c \uc5f4\uc774 \uc788\ub294 DataFrame\uc758 \ud589\uc744 \ud544\ud130\ub9c1\ud558\uae30 \uc704\ud574 pandas\uc758 <strong>query()<\/strong> \uba54\uc11c\ub4dc\uc5d0 <strong>isin()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \uc218\ud589\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">query<\/span> (' <span style=\"color: #ff0000;\">team in [\"A\", \"B\", \"D\"]<\/span> ')<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \ud2b9\uc815 \ucffc\ub9ac\ub294 <strong>\ud300<\/strong> \uc5f4\uc774 A, B \ub610\ub294 D\uc640 \ub3d9\uc77c\ud55c Pandas DataFrame\uc758 \ud589\uc744 \ud544\ud130\ub9c1\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : pandas <strong>query()<\/strong> \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud560 \ub54c\ub294 <strong>isin<\/strong> \ub300\uc2e0 <strong>in\uc744<\/strong> \uc0ac\uc6a9\ud574\uc57c \ud569\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: query() \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa9\ub85d\uc758 \uac12\uc744 \ud544\ud130\ub9c1\ud569\ub2c8\ub2e4.<\/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: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">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', 'A', 'B', 'B', 'C', 'C', 'D', 'E'],\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 to 22 7 8\n2 B 19 7 10\n3 B 14 9 6\n4 C 14 12 6\n5 C 11 9 5\n6 D 20 9 9\n7 E 28 4 12<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\uc81c <strong>\ud300<\/strong> \uc5f4\uc758 \uac12\uc774 A, B \ub610\ub294 D\uc640 \uac19\uc740 \ud589\uc744 \ucc3e\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub97c \uc704\ud574 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#query for rows where team is in list of specific teams\n<\/span>df. <span style=\"color: #3366ff;\">query<\/span> (' <span style=\"color: #ff0000;\">team in [\"A\", \"B\", \"D\"]<\/span> ')\n\n\tteam points assists rebounds\n0 A 18 5 11\n1 to 22 7 8\n2 B 19 7 10\n3 B 14 9 6\n6 D 20 9 9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>query()<\/strong> \ud568\uc218\ub294 <strong>\ud300<\/strong> \uc5f4\uc758 \uac12\uc774 A, B \ub610\ub294 D\uc640 \uac19\uc740 \ubaa8\ub4e0 \ud589\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \ud300 \uc774\ub984 \ubaa9\ub85d\uc744 \ubcc0\uc218\uc5d0 \uc800\uc7a5\ud55c \ub2e4\uc74c <strong>@<\/strong> \uc5f0\uc0b0\uc790\ub97c \uc0ac\uc6a9\ud558\uc5ec <strong>query()<\/strong> \ud568\uc218\uc5d0\uc11c \ubcc0\uc218\ub97c \ucc38\uc870\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create variable to hold specific team names\n<span style=\"color: #000000;\">team_names = [\" <span style=\"color: #ff0000;\">A<\/span> \", \" <span style=\"color: #ff0000;\">B<\/span> \", \" <span style=\"color: #ff0000;\">D<\/span> \"]<\/span><\/span>\n\n<span style=\"color: #008080;\">#query for rows where team is equal to a team name in team_names variable\n<\/span>df. <span style=\"color: #3366ff;\">query<\/span> (' <span style=\"color: #ff0000;\">team in @team_names<\/span> ')\n\n\tteam points assists rebounds\n0 A 18 5 11\n1 to 22 7 8\n2 B 19 7 10\n3 B 14 9 6\n6 D 20 9 92\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ucffc\ub9ac\ub294 <strong>\ud300\uc774<\/strong> <strong>team_names<\/strong> \ubcc0\uc218\uc5d0 \uc800\uc7a5\ub41c \ud300 \uc774\ub984 \uc911 \ud558\ub098\uc640 \ub3d9\uc77c\ud55c DataFrame\uc758 \ubaa8\ub4e0 \ud589\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ucffc\ub9ac\uc758 \uacb0\uacfc\ub294 \uc774\uc804 \uc608\uc81c\uc758 \uacb0\uacfc\uc640 \uc77c\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.query.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> pandas <strong>query()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\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: \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-\u110c\u1169\u1100\u1165\u11ab\u110b\u1175-\u110b\u1175\u11bb\u1102\u1173\u11ab-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1109\u1161\u11a8\u110c\u1166\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas: \uc870\uac74\uc5d0 \ub530\ub77c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1100\u1161-\u110b\u1165\u11b9\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas: &#8220;NO IN&#8221; \ud544\ud130\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ubaa9\ub85d\uc758 \uac12\uc774 \ud3ec\ud568\ub41c \uc5f4\uc774 \uc788\ub294 DataFrame\uc758 \ud589\uc744 \ud544\ud130\ub9c1\ud558\uae30 \uc704\ud574 pandas\uc758 query() \uba54\uc11c\ub4dc\uc5d0 isin() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \uc218\ud589\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df. query (&#8216; team in [&#8220;A&#8221;, &#8220;B&#8221;, &#8220;D&#8221;] &#8216;) \uc774 \ud2b9\uc815 \ucffc\ub9ac\ub294 \ud300 \uc5f4\uc774 A, B \ub610\ub294 D\uc640 \ub3d9\uc77c\ud55c Pandas DataFrame\uc758 \ud589\uc744 \ud544\ud130\ub9c1\ud569\ub2c8\ub2e4. \ucc38\uace0 : pandas query() \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud560 \ub54c\ub294 [&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-4309","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: query() \uba54\uc11c\ub4dc\uc640 \ud568\uaed8 isin()\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 pandas \ucffc\ub9ac\uc5d0\uc11c isin() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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