{"id":2474,"date":"2023-07-22T02:43:48","date_gmt":"2023-07-22T02:43:48","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%80%e1%85%a7%e1%86%af-%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%83\/"},"modified":"2023-07-22T02:43:48","modified_gmt":"2023-07-22T02:43:48","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%80%e1%85%a7%e1%86%af-%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%83","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%80%e1%85%a7%e1%86%af-%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%83\/","title":{"rendered":"\ud32c\ub354\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \ub300\uce58\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \ub300\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">column_name<\/span> '] = df[' <span style=\"color: #ff0000;\">column_name<\/span> ']. <span style=\"color: #3366ff;\">interpolate<\/span> ()\n<\/strong><\/pre>\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<h3> <span style=\"color: #000000;\"><strong>\uc608: Pandas\uc5d0\uc11c \ub204\ub77d\ub41c \uac12 \ubcf4\uac04<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc5f0\uc18d 15\uc77c \ub3d9\uc548 \ub9e4\uc7a5\uc5d0\uc11c \ubc1c\uc0dd\ud55c \ucd1d \ub9e4\ucd9c\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 pandas 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<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [3, 6, 8, 10, 14, 17, 20, np.nan, np.nan, np.nan,\n                             np.nan, 35, 39, 44, 49]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    day sales\n0 1 3.0\n1 2 6.0\n2 3 8.0\n3 4 10.0\n4 5 14.0\n5 6 17.0\n6 7 20.0\n7 8 NaN\n8 9 NaN\n9 10 NaN\n10 11 NaN\n11 12 35.0\n12 13 39.0\n13 14 44.0\n14 15 49.0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\ub294 4\uc77c \ub3d9\uc548\uc758 \ud310\ub9e4 \uc218\uce58\uac00 \ub204\ub77d\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc2dc\uac04 \uacbd\uacfc\uc5d0 \ub530\ub978 \ub9e4\ucd9c\uc744 \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud574 \uac04\ub2e8\ud55c \uaebe\uc740\uc120\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4e0 \uacbd\uc6b0 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create line chart to visualize sales\n<\/span>df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">plot<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-22145\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/imputerpandas1.png\" alt=\"\ud32c\ub354\uc5d0\uc11c \uacb0\uce21\uac12 \ub300\uce58\" width=\"523\" height=\"349\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ub204\ub77d\ub41c \uac12\uc744 \ucc44\uc6b0\uae30 \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc774 <strong>interpolate()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#interpolate missing values in 'sales' column\n<\/span>df[' <span style=\"color: #ff0000;\">sales<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">interpolate<\/span> ()\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    day sales\n0 1 3.0\n1 2 6.0\n2 3 8.0\n3 4 10.0\n4 5 14.0\n5 6 17.0\n6 7 20.0\n7 8 23.0\n8 9 26.0\n9 10 29.0\n10 11 32.0\n11 12 35.0\n12 13 39.0\n13 14 44.0\n14 15 49.0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub204\ub77d\ub41c \uac12\uc740 \uac01\uac01 \ub300\uccb4\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc5c5\ub370\uc774\ud2b8\ub41c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud574 \ub610 \ub2e4\ub978 \uc120 \ucc28\ud2b8\ub97c \uc0dd\uc131\ud558\uba74 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create line chart to visualize sales\n<\/span>df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">plot<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-22146 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/imputerpandas2.png\" alt=\"\" width=\"518\" height=\"341\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ucc38\uace0\ub85c <strong>interpolate()<\/strong> \ud568\uc218\ub85c \uc120\ud0dd\ud55c \uac12\uc740 \ub370\uc774\ud130\uc758 \ucd94\uc138\uc640 \uaf64 \uc798 \ub9de\ub294 \uac83 \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <strong>interpolate()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub294 <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.interpolate.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> \ucc3e\uc744 \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\uc740 Pandas\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ucd94\uac00 \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1102\u116e\u1105\u1161\u11a8\u1103\u116c\u11ab-\u1100\u1161\u11b9\u110b\u1173\u11af-\u1100\u1168\u1109\u1161\u11ab\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">\ud32c\ub354\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1102\u1161\u11ab\u110b\u1173\u11af-\u1101\u1173\u11ab-\u1111\u1162\u11ab\u1110\u1175\u1105\u1169-\u1103\u1162\u110e\u1166\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c NaN \uac12\uc744 \ubb38\uc790\uc5f4\ub85c \ubc14\uafb8\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-nan\u110b\u1173\u11af-0\u110b\u1173\u1105\u1169-\u1107\u1161\u1101\u116e\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c NaN \uac12\uc744 0\uc73c\ub85c \ubc14\uafb8\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \ub300\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[&#8216; column_name &#8216;] = df[&#8216; column_name &#8216;]. interpolate () \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. \uc608: Pandas\uc5d0\uc11c \ub204\ub77d\ub41c \uac12 \ubcf4\uac04 \uc5f0\uc18d 15\uc77c \ub3d9\uc548 \ub9e4\uc7a5\uc5d0\uc11c \ubc1c\uc0dd\ud55c \ucd1d \ub9e4\ucd9c\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. import pandas as pd import numpy as [&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-2474","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>\ud32c\ub354\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \ub300\uce58\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \ub300\uce58\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 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