{"id":2200,"date":"2023-07-23T06:52:32","date_gmt":"2023-07-23T06:52:32","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%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a1\/"},"modified":"2023-07-23T06:52:32","modified_gmt":"2023-07-23T06:52:32","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%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a1","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%b5%e1%84%85%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a1\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uc138 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc5f4 \uc774\ub984\uc744 \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \ud2b9\uc815 \uc5f4\uc758 \uc774\ub984 \ubc14\uafb8\uae30<\/strong><\/span><\/p>\n

 df. rename<\/span> (columns = {' old_col1<\/span> ':' new_col1<\/span> ', ' old_col2<\/span> ':' new_col2<\/span> '}, inplace = True<\/span> )\n<\/strong><\/pre>\n
 \ubc29\ubc95 2: \ubaa8\ub4e0 \uc5f4\uc758 \uc774\ub984 \ubc14\uafb8\uae30<\/strong><\/span><\/p>\n
 df. columns<\/span> = [' new_col1<\/span> ', ' new_col2<\/span> ', ' new_col3<\/span> ', ' new_col4<\/span> ']<\/strong><\/pre>\n
 \ubc29\ubc95 3: \uc5f4\uc758 \ud2b9\uc815 \ubb38\uc790 \ubc14\uafb8\uae30<\/strong><\/span><\/p>\n
 df. columns<\/span> = df. columns<\/span> . str<\/span> . replace<\/span> (' old_char<\/span> ', ' new_char<\/span> ')<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uac01 \ubc29\ubc95\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uad00\ub828 \ud56d\ubaa9:<\/strong> Pandas\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \uc5bb\ub294 \ubc29\ubc95(3\uac00\uc9c0 \ubc29\ubc95)<\/a><\/span><\/p>\n
 \ubc29\ubc95 1: \ud2b9\uc815 \uc5f4\uc758 \uc774\ub984 \ubc14\uafb8\uae30<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc5d0\uc11c \ud2b9\uc815 \uc5f4\uc758 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define DataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#list column names\n<\/span>list<\/span> (df)\n\n['team', 'points', 'assists', 'rebounds']\n\n#rename specific column names\n<\/span>df. rename<\/span> (columns = {' team<\/span> ': ' team_name<\/span> ', ' points<\/span> ': ' points_scored<\/span> '}, inplace = True<\/span> )\n\n#view updated list of column names\n<\/span>list<\/span> (df)\n\n['team_name', 'points_scored', 'assists', 'rebounds']\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n
 “\ud300” \ubc0f “\ud3ec\uc778\ud2b8” \uc5f4\uc758 \uc774\ub984\uc774 \ubcc0\uacbd\ub418\uc5c8\uc9c0\ub9cc \ub2e4\ub978 \ubaa8\ub4e0 \uc5f4 \uc774\ub984\uc740 \ub3d9\uc77c\ud558\uac8c \uc720\uc9c0\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc29\ubc95 2: \ubaa8\ub4e0 \uc5f4\uc758 \uc774\ub984 \ubc14\uafb8\uae30<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc758 \ubaa8\ub4e0 \uc5f4 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define DataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#list column names\n<\/span>list<\/span> (df)\n\n['team', 'points', 'assists', 'rebounds']\n\n#rename all column names\n<\/span>df. columns<\/span> = [' _team<\/span> ', ' _points<\/span> ', ' _assists<\/span> ', ' _rebounds<\/span> ']\n<\/span>\n#view updated list of column names\n<\/span>list<\/span> (df)\n\n['_team', '_points', '_assists', '_rebounds']\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n
 DataFrame\uc758 \uc5f4 \uc774\ub984 \ub300\ubd80\ubd84 \ub610\ub294 \uc804\ubd80\ub97c \ubc14\uafb8\ub824\ub294 \uacbd\uc6b0 \uc774 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \ub354 \ube60\ub985\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc29\ubc95 3: \uc5f4\uc758 \ud2b9\uc815 \ubb38\uc790 \ubc14\uafb8\uae30<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uac01 \uc5f4 \uc774\ub984\uc758 \ud2b9\uc815 \ubb38\uc790\ub97c \ubc14\uafb8\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define DataFrame\ndf = pd. DataFrame<\/span> ({' $team<\/span> ':['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' $points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' $assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' $rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#list column names\n<\/span>list<\/span> (df)\n\n['team', 'points', 'assists', 'rebounds']\n\n#rename $ with blank in every column name\n<\/span>df. columns<\/span> = df. columns<\/span> . str<\/span> . replace<\/span> (' $<\/span> ', '')\n\n#view updated list of column names\n<\/span>list(df)\n\n['team', 'points', 'assists', 'rebounds']\n<\/span><\/span><\/strong><\/pre>\n
 \uc774 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uba74 \uac01 \uc5f4 \uc774\ub984\uc5d0\uc11c ‘$’\ub97c \ube60\ub974\uac8c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \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
 Pandas\uc5d0\uc11c \ubaa8\ub4e0 \uc5f4 \uc774\ub984\uc744 \ub098\uc5f4\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \uc774\ub984\ubcc4\ub85c \uc5f4\uc744 \uc815\ub82c\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \uc911\ubcf5 \uc5f4\uc744 \uc81c\uac70\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uc138 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc5f4 \uc774\ub984\uc744 \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \ud2b9\uc815 \uc5f4\uc758 \uc774\ub984 \ubc14\uafb8\uae30 df. rename (columns = {‘ old_col1 ‘:’ new_col1 ‘, ‘ old_col2 ‘:’ new_col2 ‘}, inplace = True ) \ubc29\ubc95 2: \ubaa8\ub4e0 \uc5f4\uc758 \uc774\ub984 \ubc14\uafb8\uae30 df. columns = [‘ new_col1 ‘, ‘ new_col2 ‘, ‘ new_col3 […]<\/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-2200","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c \uc5f4 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Pandas DataFrame\uc5d0\uc11c \uc5f4\uc758 \uc774\ub984\uc744 \ubc14\uafb8\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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u11af-\u110b\u1175\u1105\u1173\u11b7\u110b\u1173\u11af-\u1107\u1161\/\" \/>\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 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Pandas DataFrame\uc5d0\uc11c \uc5f4\uc758 \uc774\ub984\uc744 \ubc14\uafb8\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u11af-\u110b\u1175\u1105\u1173\u11b7\u110b\u1173\u11af-\u1107\u1161\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T06:52:32+00:00\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" 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