{"id":3302,"date":"2023-07-18T04:41:31","date_gmt":"2023-07-18T04:41:31","guid":{"rendered":"https:\/\/statorials.org\/ko\/pandas%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%80%e1%85%a1%e1%86%a8-%e1%84%8c%e1%85%ae%e1%86%af%e1%84%8b%e1%85%a6-%e1%84%80%e1%85%b5%e1%84%82%e1%85%b3%e1%86%bc%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8c%e1%85%a5\/"},"modified":"2023-07-18T04:41:31","modified_gmt":"2023-07-18T04:41:31","slug":"pandas%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%80%e1%85%a1%e1%86%a8-%e1%84%8c%e1%85%ae%e1%86%af%e1%84%8b%e1%85%a6-%e1%84%80%e1%85%b5%e1%84%82%e1%85%b3%e1%86%bc%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8c%e1%85%a5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/pandas%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%80%e1%85%a1%e1%86%a8-%e1%84%8c%e1%85%ae%e1%86%af%e1%84%8b%e1%85%a6-%e1%84%80%e1%85%b5%e1%84%82%e1%85%b3%e1%86%bc%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8c%e1%85%a5\/","title":{"rendered":"Pandas: dataframe\uc758 \uac01 \ud589\uc5d0 \ud568\uc218\ub97c \uc801\uc6a9\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

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\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uac01 \ud589\uc5d0 \ud568\uc218\ub97c \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df[' new_col<\/span> '] = df. apply<\/span> ( lambda<\/span> x: some function, axis= 1<\/span> )\n<\/strong><\/pre>\n
 \uc774 \uad6c\ubb38\uc740 pandas DataFrame\uc758 \uac01 \ud589\uc5d0 \ud568\uc218\ub97c \uc801\uc6a9\ud558\uace0 \uc0c8 \uc5f4\uc5d0 \uacb0\uacfc\ub97c \ubc18\ud658\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: DataFrame\uc758 \uac01 \ud589\uc5d0 \ud568\uc218 \uc801\uc6a9<\/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> ({' A<\/span> ': [5, 4, 7, 9, 12, 9, 9, 4],\n                   ' B<\/span> ': [10, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n    AB\n0 5 10\n1 4 8\n2 7 10\n3 9 6\n4 12 6\n5 9 5\n6 9 9\n7 4 12\n<\/b><\/pre>\n
 \uc774\uc81c A\uc5f4\uacfc B\uc5f4\uc758 \uac12\uc744 \uacf1\ud55c \ud6c4 2\ub85c \ub098\ub204\ub294 \ud568\uc218\ub97c \uc801\uc6a9\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774 \ud568\uc218\ub97c DataFrame\uc758 \uac01 \ud589\uc5d0 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #create new column by applying function to each row in DataFrame\n<\/span>df[' z<\/span> '] = df. apply<\/span> ( lambda<\/span> x: x[' A<\/span> '] * x[' B<\/span> '] \/ 2, axis= 1<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    AB z\n0 5 10 25.0\n1 4 8 16.0\n2 7 10 35.0\n3 9 6 27.0\n4 12 6 36.0\n5 9 5 22.5\n6 9 9 40.5\n7 4 12 24.0<\/span><\/span><\/strong><\/pre>\n
 z \uc5f4\uc5d0\ub294 \ud568\uc218 \uacb0\uacfc\uac00 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4:<\/span><\/p>\n