{"id":2182,"date":"2023-07-23T08:38:06","date_gmt":"2023-07-23T08:38:06","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%8b%e1%85%a7%e1%84%85%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%89%e1%85%a5%e1%86%ab\/"},"modified":"2023-07-23T08:38:06","modified_gmt":"2023-07-23T08:38:06","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%8b%e1%85%a7%e1%84%85%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%89%e1%85%a5%e1%86%ab","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%8b%e1%85%a7%e1%84%85%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%89%e1%85%a5%e1%86%ab\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5ec\ub7ec \uc5f4\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Pandas DataFrame\uc5d0\uc11c \uc5ec\ub7ec \uc5f4\uc744 \uc120\ud0dd\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc138 \uac00\uc9c0 \uae30\ubcf8 \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \uc778\ub371\uc2a4\ub85c \uc5f4 \uc120\ud0dd<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:,[0,1,3]]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \uc778\ub371\uc2a4 \ubc94\uc704\uc5d0\uc11c \uc5f4 \uc120\ud0dd<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:, 0:3]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 3: \uc774\ub984\uc73c\ub85c \uc5f4 \uc120\ud0dd<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_new = df[[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ']]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c Pandas DataFrame\uc5d0\uc11c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><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;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\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                   ' <span style=\"color: #ff0000;\">blocks<\/span> ': [4, 7, 7, 6, 5, 8, 9, 10]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds blocks\n0 25 5 11 4\n1 12 7 8 7\n2 15 7 10 7\n3 14 9 6 6\n4 19 12 6 5\n5 23 9 5 8\n6 25 9 9 9\n7 29 4 12 10\n<\/strong><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \uc778\ub371\uc2a4\ub85c \uc5f4 \uc120\ud0dd<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc778\ub371\uc2a4 \uc704\uce58 0, 1, 3\uc5d0\uc11c \uc5f4\uc744 \uc120\ud0dd\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: #008080;\">#select columns in index positions 0, 1, and 3\n<\/span>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:,[0,1,3]]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span>df_new\n\n        points assists blocks\n0 25 5 4\n1 12 7 7\n2 15 7 7\n3 14 9 6\n4 19 12 5\n5 23 9 8\n6 25 9 9\n7 29 4 10\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc778\ub371\uc2a4 \uc704\uce58 0, 1, 3\uc758 \uc5f4\uc774 \uc120\ud0dd\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : Pandas DataFrame\uc758 \uccab \ubc88\uc9f8 \uc5f4\uc740 \uc704\uce58 0\uc5d0 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \uc778\ub371\uc2a4 \ubc94\uc704\uc5d0\uc11c \uc5f4 \uc120\ud0dd<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc778\ub371\uc2a4 \ubc94\uc704 0~3\uc5d0\uc11c \uc5f4\uc744 \uc120\ud0dd\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: #008080;\">#select columns in index range 0 to 3\n<\/span>df_new = df. <span style=\"color: #3366ff;\">iloc<\/span> [:, 0:3]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span>df_new\n\n        points assists rebounds\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<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubc94\uc704(3)\uc758 \ub9c8\uc9c0\ub9c9 \uac12\uc5d0 \uc788\ub294 \uc5f4\uc740 \ucd9c\ub825\uc5d0 \ud3ec\ud568\ub418\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 3: \uc774\ub984\uc73c\ub85c \uc5f4 \uc120\ud0dd<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc774\ub984\uc73c\ub85c \uc5f4\uc744 \uc120\ud0dd\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: #008080;\">#select columns called 'points' and 'blocks'\n<\/span>df_new = df[[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">blocks<\/span> ']]\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span>df_new\n\n        point blocks\n0 25 4\n1 12 7\n2 15 7\n3 14 6\n4 19 5\n5 23 8\n6 25 9\n7 29 10\n<\/span><\/span><\/strong><\/pre>\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 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\/\u1111\u1162\u11ab\u1103\u1165-\u1106\u1169\u11a8\u1105\u1169\u11a8-\u110b\u1167\u11af-\u110b\u1175\u1105\u1173\u11b7\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ubaa8\ub4e0 \uc5f4 \uc774\ub984\uc744 \ub098\uc5f4\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1173\u1105\u1169\u11b8-\u110f\u1165\u11af\u1105\u1165\u11b7-\u1111\u1162\u11ab\u1103\u1165\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \uc5f4\uc744 \uc0ad\uc81c\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\u1173\u11af-\u110b\u1167\u11af\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \uc778\ub371\uc2a4\ub97c \uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pandas DataFrame\uc5d0\uc11c \uc5ec\ub7ec \uc5f4\uc744 \uc120\ud0dd\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc138 \uac00\uc9c0 \uae30\ubcf8 \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \uc778\ub371\uc2a4\ub85c \uc5f4 \uc120\ud0dd df_new = df. iloc [:,[0,1,3]] \ubc29\ubc95 2: \uc778\ub371\uc2a4 \ubc94\uc704\uc5d0\uc11c \uc5f4 \uc120\ud0dd df_new = df. iloc [:, 0:3] \ubc29\ubc95 3: \uc774\ub984\uc73c\ub85c \uc5f4 \uc120\ud0dd df_new = df[[&#8216; col1 &#8216;, &#8216; col2 &#8216;]] \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c Pandas DataFrame\uc5d0\uc11c \uac01 [&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-2182","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 \uc5ec\ub7ec \uc5f4\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\uc81c\uc640 \ud568\uaed8 Pandas DataFrame\uc5d0\uc11c \uc5ec\ub7ec \uc5f4\uc744 \uc120\ud0dd\ud558\ub294 \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\" 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