{"id":3765,"date":"2023-07-15T16:18:43","date_gmt":"2023-07-15T16:18:43","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af-%e1%84%82%e1%85%a5%e1%84%87%e1%85%b5\/"},"modified":"2023-07-15T16:18:43","modified_gmt":"2023-07-15T16:18:43","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af-%e1%84%82%e1%85%a5%e1%84%87%e1%85%b5","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%8b%e1%85%a7%e1%86%af-%e1%84%82%e1%85%a5%e1%84%87%e1%85%b5\/","title":{"rendered":"\ud32c\ub354: \uc5f4 \ub108\ube44\ub97c \uc124\uc815\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\uae30\ubcf8\uc801\uc73c\ub85c Jupyter Notebook\uc740 Pandas DataFrame\uc758 \uc5f4\uc5d0 \ub300\ud574 \ucd5c\ub300 \ub108\ube44 <strong>50<\/strong> \ub9cc \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 \ub178\ud2b8\ubd81\uc774 DataFrame\uc758 \uac01 \uc5f4\uc758 \uc804\uccb4 \ub108\ube44\ub97c \ud45c\uc2dc\ud558\ub3c4\ub85d \uac15\uc81c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>p.d. <span style=\"color: #3366ff;\">set_option<\/span> (' <span style=\"color: #ff0000;\">display.max_colwidth<\/span> ', <span style=\"color: #008000;\">None<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\uba74 \uc804\uccb4 Jupyter \ub178\ud2b8\ubd81 \uc138\uc158\uc5d0 \ub300\ud55c \ucd5c\ub300 \uc5f4 \ub108\ube44 \uac12\uc774 \uc124\uc815\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc804\uccb4 \uc5f4 \ub108\ube44\ub97c \uc77c\uc2dc\uc801\uc73c\ub85c\ub9cc \ud45c\uc2dc\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;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">from<\/span> pandas <span style=\"color: #008000;\">import<\/span> option_context\n\n<span style=\"color: #008000;\">with<\/span> option_context(' <span style=\"color: #ff0000;\">display.max_colwidth<\/span> ', <span style=\"color: #008000;\">None<\/span> ):\n    <span style=\"color: #008000;\">print<\/span> (df)\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\ub9c8\uc9c0\ub9c9\uc73c\ub85c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Jupyter \ub178\ud2b8\ubd81\uc5d0\uc11c \uae30\ubcf8 \uc5f4 \ub108\ube44 \uc124\uc815\uc744 \uc7ac\uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>p.d. <span style=\"color: #3366ff;\">reset_option<\/span> (' <span style=\"color: #ff0000;\">display.max_colwidth<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: Pandas\uc5d0\uc11c \uc5f4 \ub108\ube44 \uc124\uc815<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\uc5f4\uc5d0 \ub9e4\uc6b0 \uae34 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c pandas DataFrame\uc744 \uc0dd\uc131\ud55c\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\n<span style=\"color: #008080;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">string_column<\/span> ': ['A really really long string that contains lots of words', 'More words', 'Words', 'Cool words', 'Hey', 'Hi', 'Sup', 'Yo' ],\n                   ' <span style=\"color: #ff0000;\">value_column<\/span> ': [12, 15, 24, 24, 14, 19, 12, 38]})\n\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n                                       string_column value_column\n0 A really really long string that contains lots... 12\n1 More words 15\n2 Words 24\n3 Cool words 24\n4 Hey 14\n5 Hello 19\n6 Sup 12\n7 Yo 38\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uae30\ubcf8\uc801\uc73c\ub85c pandas\ub294 <strong>string_column<\/strong> \uc758 \ub108\ube44\uac00 50\uc774 \ub418\ub3c4\ub85d \uc790\ub985\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc5f4\uc758 \uc804\uccb4 \ub108\ube44\ub97c \ud45c\uc2dc\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;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#specify no max value for the column width<\/span>\np.d. <span style=\"color: #3366ff;\">set_option<\/span> (' <span style=\"color: #ff0000;\">display.max_colwidth<\/span> ', <span style=\"color: #008000;\">None<\/span> )\n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n                                             string_column value_column\n0 A really really long string that contains lots of words 12\n1 More words 15\n2 Words 24\n3 Cool words 24\n4 Hey 14\n5 Hello 19\n6 Sup 12\n7 Yo 38\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\uc81c <strong>string_column<\/strong> \uc758 \ubaa8\ub4e0 \ud14d\uc2a4\ud2b8\uac00 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uba74 \uc804\uccb4 Jupyter \uc138\uc158\uc758 \ucd5c\ub300 \uc5f4 \ub108\ube44\uac00 \uc124\uc815\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ucd5c\ub300 \uc5f4 \ub108\ube44\ub97c \uc77c\uc2dc\uc801\uc73c\ub85c\ub9cc \ud45c\uc2dc\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;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">from<\/span> pandas <span style=\"color: #008000;\">import<\/span> option_context\n\n<span style=\"color: #008000;\">with<\/span> option_context(' <span style=\"color: #ff0000;\">display.max_colwidth<\/span> ', <span style=\"color: #008000;\">None<\/span> ):\n    <span style=\"color: #008000;\">print<\/span> (df)\n\n                                             string_column value_column\n0 A really really long string that contains lots of words 12\n1 More words 15\n2 Words 24\n3 Cool words 24\n4 Hey 14\n5 Hello 19\n6 Sup 12\n7 Yo 38\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uae30\ubcf8 \uc124\uc815\uc744 \uc7ac\uc124\uc815\ud558\uace0 \uac01 \uc5f4\uc5d0 \ub300\ud574 \ucd5c\ub300 \ub108\ube44 50\ub9cc \ud45c\uc2dc\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>p.d. <span style=\"color: #3366ff;\">reset_option<\/span> (' <span style=\"color: #ff0000;\">display.max_colwidth<\/span> ')<\/strong><\/pre>\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\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1106\u1169\u1103\u1173\u11ab-\u110b\u1167\u11af\u110b\u1173\u11af-\u1111\u116d\u1109\u1175\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc758 \ubaa8\ub4e0 \uc5f4\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1106\u1169\u1103\u1173\u11ab-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1111\u116d\u1109\u1175\u1112\u1161\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc758 \ubaa8\ub4e0 \ud589\uc744 \ud45c\uc2dc\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\u1173\u11ab-\u1109\u1166\u11af-\u1100\u1161\u11b9\u110b\u1173\u11af-\u110b\u1165\u11ae\u1109\u1173\u11b8\u1102\u1175\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas: DataFrame\uc5d0\uc11c \uc140 \uac12\uc744 \uc5bb\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uae30\ubcf8\uc801\uc73c\ub85c Jupyter Notebook\uc740 Pandas DataFrame\uc758 \uc5f4\uc5d0 \ub300\ud574 \ucd5c\ub300 \ub108\ube44 50 \ub9cc \ud45c\uc2dc\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 \ub178\ud2b8\ubd81\uc774 DataFrame\uc758 \uac01 \uc5f4\uc758 \uc804\uccb4 \ub108\ube44\ub97c \ud45c\uc2dc\ud558\ub3c4\ub85d \uac15\uc81c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. p.d. set_option (&#8216; display.max_colwidth &#8216;, None ) \uadf8\ub7ec\uba74 \uc804\uccb4 Jupyter \ub178\ud2b8\ubd81 \uc138\uc158\uc5d0 \ub300\ud55c \ucd5c\ub300 \uc5f4 \ub108\ube44 \uac12\uc774 \uc124\uc815\ub429\ub2c8\ub2e4. \uc804\uccb4 \uc5f4 \ub108\ube44\ub97c \uc77c\uc2dc\uc801\uc73c\ub85c\ub9cc \ud45c\uc2dc\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. from [&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-3765","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: \uc5f4 \ub108\ube44\ub97c \uc124\uc815\ud558\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\uc640 \ud568\uaed8 Pandas DataFrame\uc758 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