{"id":2194,"date":"2023-07-23T07:28:50","date_gmt":"2023-07-23T07:28:50","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%86%af%e1%84%8b%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%92%e1%85%aa\/"},"modified":"2023-07-23T07:28:50","modified_gmt":"2023-07-23T07:28:50","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%86%af%e1%84%8b%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%92%e1%85%aa","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%86%af%e1%84%8b%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab%e1%84%92%e1%85%aa\/","title":{"rendered":"Pandas dataframe \uc5f4\uc744 int\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc5f4\uc744 \uc815\uc218 \uc720\ud615\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">col1<\/span> '] = df[' <span style=\"color: #ff0000;\">col1<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (int)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 1: \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 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: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">player<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': ['25', '20', '14', '16', '27'],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': ['5', '7', '7', '8', '11']})\n\n<span style=\"color: #008080;\">#view data types for each column\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">player object\npoints object\nassists object\ndtype:object\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ud604\uc7ac \uc815\uc218 \ub370\uc774\ud130 \uc720\ud615\uc744 \uac16\ub294 \uc5f4\uc774 \uc5c6\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 DataFrame\uc758 &#8220;points&#8221; \uc5f4\uc744 \uc815\uc218 \uc720\ud615\uc73c\ub85c \ubcc0\ud658\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;\">#convert 'points' column to integer\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">points<\/span> '] = df[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (int)\n\n<span style=\"color: #008080;\">#view data types of each column\n<\/span>df. <span style=\"color: #3366ff;\">dtypes<\/span>\n\nplayer object\nint64 dots\nassists object\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\uc81c &#8220;\ud3ec\uc778\ud2b8&#8221; \uc5f4\uc740 \uc815\uc218\uc774\uace0 \ub2e4\ub978 \ubaa8\ub4e0 \uc5f4\uc740 \ubcc0\uacbd\ub418\uc9c0 \uc54a\uc740 \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \uc5ec\ub7ec \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 DataFrame\uc758 \uc5ec\ub7ec \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/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;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">player<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': ['25', '20', '14', '16', '27'],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': ['5', '7', '7', '8', '11']})\n\n<span style=\"color: #008080;\">#convert 'points' and 'assists' columns to integer<\/span>\ndf[[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ']] = df[[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ']]. <span style=\"color: #3366ff;\">astype<\/span> (int)\n\n<span style=\"color: #008080;\">#view data types for each column\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">player object\nint64 dots\nassists int64\ndtype:object<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">&#8220;\ud3ec\uc778\ud2b8&#8221; \ubc0f &#8220;\ud328\uc2a4&#8221; \uc5f4\uc774 \uc815\uc218\ub85c \ubcc0\ud658\ub41c \ubc18\uba74 &#8220;\ud50c\ub808\uc774\uc5b4&#8221; \uc5f4\uc740 \ubcc0\uacbd\ub418\uc9c0 \uc54a\uc740 \uac83\uc744 \ubcfc \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\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \ubcc0\ud658\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1101\u1173\u11ab-\u110b\u1171\u110b\u1174-\u1111\u1161\u11ab\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1110\u1161\u110b\u1175\u11b7\u1109\u1173\u1110\u1162\u11b7\u1111\u1173-\u1102\u1161\u11af\u110d\u1161-\u1109\u1175\u1100\u1161\u11ab\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ud0c0\uc784\uc2a4\ud0ec\ud504\ub97c \ub0a0\uc9dc\/\uc2dc\uac04\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1102\u1161\u11af\u110d\u1161-\u1109\u1175\u1100\u1161\u11ab\u110b\u1173\u11af-\u1102\u1161\u11af\u110d\u1161-\u1111\u1162\u11ab\u1103\u1165\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c DateTime\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1106\u116e\u11ab\u110c\u1161\u110b\u1167\u11af\u110b\u1173\u11af-\u1107\u116e\u1103\u1169\u11bc-\u1111\u1162\u11ab\u1103\u1165\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\/\" target=\"_blank\" rel=\"noopener\">Pandas\uc5d0\uc11c \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc5f4\uc744 \uc815\uc218 \uc720\ud615\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[&#8216; col1 &#8216;] = df[&#8216; col1 &#8216;]. astype (int) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608\uc2dc 1: \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; player &#8216;: [&#8216;A&#8217;, &#8216;B&#8217;, &#8216;C&#8217;, &#8216;D&#8217;, [&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-2194","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 DataFrame \uc5f4\uc744 int\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame \uc5f4\uc744 \uc815\uc218 \uc720\ud615\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 \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\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u11af\u110b\u1173\u11af-int\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas DataFrame \uc5f4\uc744 int\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - 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