{"id":1980,"date":"2023-07-24T05:16:11","date_gmt":"2023-07-24T05:16:11","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%83%e1%85%b3%e1%84%85%e1%85%a9%e1%86%b8-%e1%84%8f%e1%85%a5%e1%86%af%e1%84%85%e1%85%a5%e1%86%b7-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5\/"},"modified":"2023-07-24T05:16:11","modified_gmt":"2023-07-24T05:16:11","slug":"%e1%84%83%e1%85%b3%e1%84%85%e1%85%a9%e1%86%b8-%e1%84%8f%e1%85%a5%e1%86%af%e1%84%85%e1%85%a5%e1%86%b7-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%83%e1%85%b3%e1%84%85%e1%85%a9%e1%86%b8-%e1%84%8f%e1%85%a5%e1%86%af%e1%84%85%e1%85%a5%e1%86%b7-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5f4\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95(\uc608\uc81c 4\uac1c)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.drop.html\" target=\"_blank\" rel=\"noopener\">drop()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop one column by name<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">column_name<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#drop multiple columns by name\n<\/span>df. <span style=\"color: #3366ff;\">drop<\/span> ([' <span style=\"color: #ff0000;\">column_name1<\/span> ', ' <span style=\"color: #ff0000;\">column_name2<\/span> '], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#drop one column by index\n<\/span>df. <span style=\"color: #3366ff;\">drop<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> [[0]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#drop multiple columns by index\n<\/span>df. <span style=\"color: #3366ff;\">drop<\/span> (df.columns[[0,2,5]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc0ac\ud56d\uc5d0 \uc720\uc758\ud558\uc138\uc694.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\ucd95<\/strong> \uc778\uc218\ub294 \ud589(0) \ub610\ub294 \uc5f4(1)\uc744 \uc81c\uac70\ud560\uc9c0 \uc5ec\ubd80\ub97c \uc9c0\uc815\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>inplace<\/strong> \uc778\uc218\ub294 DataFrame\uc744 \ub2e4\uc2dc \ud560\ub2f9\ud558\uc9c0 \uc54a\uace0 \uc5f4\uc744 \uc81c\uc790\ub9ac\uc5d0\uc11c \uc81c\uac70\ud558\ub3c4\ub85d \uc9c0\uc815\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uc774 \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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tA B C\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 1: \uc774\ub984\uc73c\ub85c \uc5f4 \uc0ad\uc81c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 DataFrame\uc5d0\uc11c \uc774\ub984\ubcc4\ub85c \uc5f4\uc744 \uc81c\uac70\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;\">#drop column named 'B' from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">B<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n\tA C\n0 25 11\n1 12 8\n2 15 10\n3 14 6\n4 19 6\n5 23 5\n6 25 9\n7 29 12<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 2: \uc774\ub984\uc73c\ub85c \uc5ec\ub7ec \uc5f4 \uc0ad\uc81c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774\ub984\ubcc4\ub85c \uc5ec\ub7ec \uc5f4\uc744 \uc0ad\uc81c\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;\">#drop columns 'A' and 'C' from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> ([' <span style=\"color: #ff0000;\">A<\/span> ', ' <span style=\"color: #ff0000;\">C<\/span> '], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        B\n0 5\n1 7\n2 7\n3 9\n4 12\n5 9\n6 9\n7 4<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 3: \uc778\ub371\uc2a4\ubcc4\ub85c \uc5f4 \uc0ad\uc81c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc778\ub371\uc2a4\ubcc4\ub85c \uc5f4\uc744 \uc0ad\uc81c\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;\">#drop first column from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> [[0]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        B C\n0 5 11\n1 7 8\n2 7 10\n3 9 6\n4 12 6\n5 9 5\n6 9 9\n7 4 12<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 4: \uc778\ub371\uc2a4\ubcc4\ub85c \uc5ec\ub7ec \uc5f4 \uc0ad\uc81c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc778\ub371\uc2a4\ubcc4\ub85c \uc5ec\ub7ec \uc5f4\uc744 \uc0ad\uc81c\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;\">#drop multiple columns from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> (df. <span style=\"color: #3366ff;\">columns<\/span> [[0, 1]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        VS\n0 11\n1 8\n2 10\n3 6\n4 6\n5 5\n6 9\n7 12\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1103\u1166\u110b\u1175\u1110\u1165-\u1111\u1173\u1105\u1166\u110b\u1175\u11b7\u110b\u1166-\u110c\u116e\u11af\u110b\u1173\u11af-\u110e\u116e\u1100\u1161\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc5d0 \ud589\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1103\u1166\u110b\u1175\u1110\u1165-\u1111\u1173\u1105\u1166\u110b\u1175\u11b7\u110b\u1166-numpy-\u1107\u1162\u110b\u1167\u11af-\u110e\u116e\u1100\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc5d0 Numpy \ubc30\uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168\u1112\u1161\u11a8\u110b\u1173\u11ab-\u1100\u1161\u11ab\u1103\u1161\u11ab\u1112\u1161\u1100\u1169-\u110c\u1175\u11a8\u110c\u1165\u11b8\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\u110b\u1173\u1105\u1169-\u1100\u1162\u1102\u1167\u11b7\u110b\u1173\u11af-\u1109\u1165\u11af\u1106\u1167\u11bc\u1112\u1161\u1106\u1173\u1105\u1169-\u1110\u1169\u11bc\u1100\u1168\u1105\u1173\u11af-\u1103\u1165-\u1109\u1171\u11b8\u1100\u1166-\u1107\u1162\u110b\u116e\u11af-\u1109\u116e-\u110b\u1175\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc5d0\uc11c \ud589 \uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>drop() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #drop one column by name df. drop (&#8216; column_name &#8216;, axis= 1 , inplace= True ) #drop multiple columns by name df. drop ([&#8216; column_name1 &#8216;, &#8216; column_name2 &#8216;], axis= 1 , inplace= True ) #drop one column by index df. drop ( df.columns [&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-1980","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\uc5d0\uc11c \uc5f4\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95(4\uac1c \uc608) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4\uc744 \uc81c\uac70\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc5ec\ub7ec \uac00\uc9c0 \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\/\u1103\u1173\u1105\u1169\u11b8-\u110f\u1165\u11af\u1105\u1165\u11b7-\u1111\u1162\u11ab\u1103\u1165\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c \uc5f4\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95(4\uac1c \uc608) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4\uc744 \uc81c\uac70\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc5ec\ub7ec \uac00\uc9c0 \ubc29\ubc95\uc744 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