{"id":3528,"date":"2023-07-17T00:17:51","date_gmt":"2023-07-17T00:17:51","guid":{"rendered":"https:\/\/statorials.org\/ko\/pandas%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%8c%e1%85%a9%e1%86%ab%e1%84%8c%e1%85%a2%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5-%e1%84%8b%e1%85%a1%e1%86%ad%e1%84%8b\/"},"modified":"2023-07-17T00:17:51","modified_gmt":"2023-07-17T00:17:51","slug":"pandas%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%8c%e1%85%a9%e1%86%ab%e1%84%8c%e1%85%a2%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5-%e1%84%8b%e1%85%a1%e1%86%ad%e1%84%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/pandas%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%8c%e1%85%a9%e1%86%ab%e1%84%8c%e1%85%a2%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5-%e1%84%8b%e1%85%a1%e1%86%ad%e1%84%8b\/","title":{"rendered":"Pandas:\uc5f4\uc774 \uc874\uc7ac\ud558\uc9c0 \uc54a\ub294 \uacbd\uc6b0 \uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

Pandas DataFrame\uc5d0 \uc5f4\uc774 \uc544\uc9c1 \uc5c6\ub294 \uacbd\uc6b0 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5f4\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df[' my_column<\/span> '] = df. get<\/span> (' my_column<\/span> ', df[' col1<\/span> '] * df[' col2<\/span> '])<\/strong> \n<\/pre>\n
 \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 my_column<\/strong> \uc774\ub77c\ub294 \uc0c8 \uc5f4\uc774 DataFrame\uc5d0 \uc544\uc9c1 \uc874\uc7ac\ud558\uc9c0 \uc54a\uace0 \uae30\uc874 \uc5f4 col1<\/strong> \ubc0f col2<\/strong> \uc758 \uacf1\uc73c\ub85c \uc815\uc758\ub41c \uacbd\uc6b0 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \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
 \uc608: Pandas\uc5d0 \uc5f4\uc774 \uc5c6\uc73c\uba74 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n                   ' sales<\/span> ': [4, 6, 5, 8, 14, 13, 13, 12, 9, 8, 19, 14],\n                   ' price<\/span> ': [1, 2, 2, 1, 2, 4, 4, 3, 3, 2, 2, 3]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n    day sales price\n0 1 4 1\n1 2 6 2\n2 3 5 2\n3 4 8 1\n4 5 14 2\n5 6 13 4\n6 7 13 4\n7 8 12 3\n8 9 9 3\n9 10 8 2\n10 11 19 2\n11 12 14 3\n<\/strong><\/pre>\n
 \uc774\uc81c \uc544\uc9c1 \uc874\uc7ac\ud558\uc9c0 \uc54a\ub294 \uacbd\uc6b0 \uac00\uaca9<\/strong> \uc774\ub77c\ub294 \uc5f4\uc744 \ucd94\uac00\ud558\uace0 \uc774\ub97c \uac01 \uac12\uc774 100\uc778 \uc5f4\ub85c \uc815\uc758\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #attempt to add column called 'price'\ndf[' price<\/span> '] = df. get<\/span> (' price<\/span> ', 100)    \n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n    day sales price\n0 1 4 1\n1 2 6 2\n2 3 5 2\n3 4 8 1\n4 5 14 2\n5 6 13 4\n6 7 13 4\n7 8 12 3\n8 9 9 3\n9 10 8 2\n10 11 19 2\n11 12 14 3\n<\/span><\/span><\/strong><\/pre>\n
 \uac00\uaca9<\/strong> \uc774\ub77c\ub294 \uc5f4\uc774 \uc774\ubbf8 \uc874\uc7ac\ud558\ubbc0\ub85c pandas\ub294 \uc774\ub97c DataFrame\uc5d0 \ucd94\uac00\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \uadf8\ub7ec\ub098 \uc544\uc9c1 \uc874\uc7ac\ud558\uc9c0 \uc54a\ub294 \uacbd\uc6b0 \uc218\uc775<\/strong> \uc774\ub77c\ub294 \uc0c8 \uc5f4\uc744 \ucd94\uac00\ud558\uace0 \uac12\uc774 \ud310\ub9e4 \ubc0f \uac00\uaca9 \uc5f4\uc758 \uacf1\uc778 \uc5f4\ub85c \uc815\uc758\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #attempt to add column called 'revenue'\ndf[' revenue<\/span> '] = df. get<\/span> (' revenue<\/span> ', df[' sales<\/span> '] * df[' price<\/span> '])\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n    day sales price revenue\n0 1 4 1 4\n1 2 6 2 12\n2 3 5 2 10\n3 4 8 1 8\n4 5 14 2 28\n5 6 13 4 52\n6 7 13 4 52\n7 8 12 3 36\n8 9 9 3 27\n9 10 8 2 16\n10 11 19 2 38\n11 12 14 3 42\n<\/span><\/span><\/strong><\/pre>\n
 \uc774 \uc218\uc775<\/strong> \uc5f4\uc740 \uc544\uc9c1 \uc874\uc7ac\ud558\uc9c0 \uc54a\uae30 \ub54c\ubb38\uc5d0 DataFrame\uc5d0 \ucd94\uac00\ub429\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
 \uc870\uac74\uc5d0 \ub530\ub77c Pandas DataFrame\uc5d0\uc11c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95<\/a>
 \uc5ec\ub7ec \uc870\uac74\uc5d0\uc11c Pandas DataFrame\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c “NOT IN” \ud544\ud130\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Pandas DataFrame\uc5d0 \uc5f4\uc774 \uc544\uc9c1 \uc5c6\ub294 \uacbd\uc6b0 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5f4\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[‘ my_column ‘] = df. get (‘ my_column ‘, df[‘ col1 ‘] * df[‘ col2 ‘]) \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 my_column \uc774\ub77c\ub294 \uc0c8 \uc5f4\uc774 DataFrame\uc5d0 \uc544\uc9c1 \uc874\uc7ac\ud558\uc9c0 \uc54a\uace0 \uae30\uc874 \uc5f4 col1 \ubc0f col2 \uc758 \uacf1\uc73c\ub85c \uc815\uc758\ub41c \uacbd\uc6b0 \uc0dd\uc131\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 […]<\/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-3528","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: \uc5f4\uc774 \uc5c6\ub294 \uacbd\uc6b0 \uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95 - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc5d0 \uc5f4\uc774 \uc5c6\ub294 \uacbd\uc6b0 \uc5f4\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \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\/pandas\u1102\u1173\u11ab-\u110b\u1167\u11af\u110b\u1175-\u110c\u1169\u11ab\u110c\u1162\u1112\u1161\u110c\u1175-\u110b\u1161\u11ad\u110b\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \uc5f4\uc774 \uc5c6\ub294 \uacbd\uc6b0 \uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95 - \ud1b5\uacc4\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc5d0 \uc5f4\uc774 \uc5c6\ub294 \uacbd\uc6b0 \uc5f4\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/pandas\u1102\u1173\u11ab-\u110b\u1167\u11af\u110b\u1175-\u110c\u1169\u11ab\u110c\u1162\u1112\u1161\u110c\u1175-\u110b\u1161\u11ad\u110b\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-17T00:17:51+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\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/pandas%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%8c%e1%85%a9%e1%86%ab%e1%84%8c%e1%85%a2%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5-%e1%84%8b%e1%85%a1%e1%86%ad%e1%84%8b\/\",\"url\":\"https:\/\/statorials.org\/ko\/pandas%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%8c%e1%85%a9%e1%86%ab%e1%84%8c%e1%85%a2%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5-%e1%84%8b%e1%85%a1%e1%86%ad%e1%84%8b\/\",\"name\":\"Pandas: \uc5f4\uc774 \uc5c6\ub294 \uacbd\uc6b0 \uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95 - 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