{"id":1944,"date":"2023-07-24T08:42:58","date_gmt":"2023-07-24T08:42:58","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%83%e1%85%ae-%e1%84%80%e1%85%a2%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%88\/"},"modified":"2023-07-24T08:42:58","modified_gmt":"2023-07-24T08:42:58","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%83%e1%85%ae-%e1%84%80%e1%85%a2%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%88","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%83%e1%85%ae-%e1%84%80%e1%85%a2%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%88\/","title":{"rendered":"Pandas dataframe\uc5d0\uc11c \ub450 \uac1c\uc758 \uc5f4\uc744 \ube7c\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \ub2e4\ub978 \uc5f4\uc5d0\uc11c \ud55c \uc5f4\uc744 \ube84 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 #subtract column 'B' from column 'A'<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B\n<\/span><\/strong><\/pre>\n
 \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
 \uc608 1: Pandas\uc5d0\uc11c \ub450 \uc5f4 \ube7c\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc758 \ub2e4\ub978 \uc5f4\uc5d0\uc11c \ud55c \uc5f4\uc744 \ube7c\uace0 \uacb0\uacfc\ub97c \uc0c8 \uc5f4\uc5d0 \ud560\ub2f9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span> \ndf = pd. DataFrame<\/span> ({' A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' B<\/span> ': [5, 7, 8, 9, 12, 9, 12, 4],\n                   ' C<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#subtract column B from column A<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B<\/span>\n\n#view DataFrame<\/span>\ndf\n\n        A B C AB\n0 25 5 11 20\n1 12 7 8 5\n2 15 8 10 7\n3 14 9 6 5\n4 19 12 6 7\n5 23 9 5 14\n6 25 12 9 13\n7 29 4 12 25\n<\/strong><\/pre>\n
 ‘ AB<\/strong> ‘\ub77c\ub294 \uc0c8\ub85c\uc6b4 \uc5f4\uc5d0\ub294 A\uc5f4\uc758 \uac12\uc5d0\uc11c B\uc5f4\uc758 \uac12\uc744 \ube80 \uacb0\uacfc\uac00 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \ub204\ub77d\ub41c \uac12\uc774 \uc788\ub294 \ub450 \uc5f4 \ube7c\uae30<\/strong><\/span><\/h3>\n
 pandas DataFrame\uc758 \ub2e4\ub978 \uc5f4\uc5d0\uc11c \ud55c \uc5f4\uc744 \ube7c\uace0 \uc5f4 \uc911 \ud558\ub098\uc5d0 \ub204\ub77d\ub41c \uac12\uc774 \uc788\ub294 \uacbd\uc6b0 \ube7c\uae30 \uacb0\uacfc\ub294 \ud56d\uc0c1 \ub204\ub77d\ub41c \uac12\uc774 \ub429\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#create DataFrame with some missing values<\/span>\ndf = pd. DataFrame<\/span> ({' A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' B<\/span> ': [5, 7, np. no<\/span> , 9, 12, np. no<\/span> , 12, 4],\n                   ' C<\/span> ': [np. no<\/span> , 8, 10, 6, 6, 5, 9, 12]}) \n<\/span>\n#subtract column B from column A<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B\n<\/span>\n#view DataFrame\n<\/span>df\n\n\tA B C AB\n0 25 5.0 NaN 20.0\n1 12 7.0 8.0 5.0\n2 15 NaN 10.0 NaN\n3 14 9.0 6.0 5.0\n4 19 12.0 6.0 7.0\n5 23 NaN 5.0 NaN\n6 25 12.0 9.0 13.0\n7 29 4.0 12.0 25.0\n<\/span><\/span><\/strong><\/pre>\n
 \uc6d0\ud558\ub294 \uacbd\uc6b0 \ud55c \uc5f4\uc744 \ub2e4\ub978 \uc5f4\uc5d0\uc11c \ube7c\uae30 \uc804\uc5d0 df.fillna(0)<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec dataFrame\uc758 \ubaa8\ub4e0 \ub204\ub77d\ub41c \uac12\uc744 0\uc73c\ub85c \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#create DataFrame with some missing values<\/span>\ndf = pd. DataFrame<\/span> ({' A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' B<\/span> ': [5, 7, np. no<\/span> , 9, 12, np. no<\/span> , 12, 4],\n                   ' C<\/span> ': [np. no<\/span> , 8, 10, 6, 6, 5, 9, 12]}) \n<\/span>\n#replace all missing values with zeros\n<\/span>df = df. fillna<\/span> ( 0<\/span> )\n\n#subtract column B from column A<\/span>\ndf[' AB<\/span> '] = df. A<\/span> - df. B<\/span>\n\n#view DataFrame\n<\/span>df\n\tA B C AB\n0 25 5.0 0.0 20.0\n1 12 7.0 8.0 5.0\n2 15 0.0 10.0 15.0\n3 14 9.0 6.0 5.0\n4 19 12.0 6.0 7.0\n5 23 0.0 5.0 23.0\n6 25 12.0 9.0 13.0\n7 29 4.0 12.0 25.0<\/span><\/span><\/strong><\/pre>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Pandas DataFrame\uc5d0 \ud589\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0 Numpy \ubc30\uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \ud589 \uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \ub2e4\ub978 \uc5f4\uc5d0\uc11c \ud55c \uc5f4\uc744 \ube84 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #subtract column ‘B’ from column ‘A’ df[‘ AB ‘] = df. A – df. B \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 1: Pandas\uc5d0\uc11c \ub450 \uc5f4 \ube7c\uae30 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc758 \ub2e4\ub978 \uc5f4\uc5d0\uc11c \ud55c \uc5f4\uc744 \ube7c\uace0 \uacb0\uacfc\ub97c \uc0c8 \uc5f4\uc5d0 \ud560\ub2f9\ud558\ub294 \ubc29\ubc95\uc744 […]<\/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-1944","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas DataFrame\uc5d0\uc11c \ub450 \uac1c\uc758 \uc5f4\uc744 \ube7c\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\uc81c\uc640 \ud568\uaed8 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property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1103\u116e-\u1100\u1162\u110b\u1174-\u110b\u1167\u11af\u110b\u1173\u11af-\u1108\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T08:42:58+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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Statorials","og_description":"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\uc81c\uc640 \ud568\uaed8 Pandas DataFrame\uc5d0\uc11c \ub450 \uac1c\uc758 \uc5f4\uc744 \ube7c\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.","og_url":"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1103\u116e-\u1100\u1162\u110b\u1174-\u110b\u1167\u11af\u110b\u1173\u11af-\u1108\/","og_site_name":"Statorials","article_published_time":"2023-07-24T08:42:58+00:00","author":"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8","twitter_card":"summary_large_image","twitter_misc":{"Written by":"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8","Est. reading 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