{"id":4248,"date":"2023-07-12T13:03:26","date_gmt":"2023-07-12T13:03:26","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%91%e1%85%b5%e1%84%87%e1%85%a5%e1%86%ba-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2\/"},"modified":"2023-07-12T13:03:26","modified_gmt":"2023-07-12T13:03:26","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%91%e1%85%b5%e1%84%87%e1%85%a5%e1%86%ba-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2","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%91%e1%85%b5%e1%84%87%e1%85%a5%e1%86%ba-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2\/","title":{"rendered":"Pandas: \ubc31\ubd84\uc728\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud53c\ubc97 \ud14c\uc774\ube14\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"

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\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc5f4\uc5d0 \ub300\ud55c \ud569\uacc4\uc758 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 Pandas\uc758 \ud53c\ubc97 \ud14c\uc774\ube14\uc5d0 \uc5f4\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 my_table[' % points<\/span> '] = (my_table[' points<\/span> ']\/my_table[' points<\/span> ']. sum<\/span> ())* 100\n<\/span><\/strong><\/pre>\n
 \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 \ud3ec\uc778\ud2b8<\/strong> \uc5f4\uc758 \ucd1d \uac12\uc758 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 my_table<\/strong> \uc774\ub77c\ub294 \ud53c\ubc97 \ud14c\uc774\ube14\uc5d0 % \ud3ec\uc778\ud2b8<\/strong> \ub77c\ub294 \uc0c8 \uc5f4\uc744 \ucd94\uac00\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: \ubc31\ubd84\uc728\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas \ud53c\ubc97 \ud14c\uc774\ube14 \ub9cc\ub4e4\uae30<\/strong><\/span><\/h2>\n
 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uac00 \ub4dd\uc810\ud55c \uc810\uc218\ub97c \ubcf4\uc5ec\uc8fc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' position<\/span> ': ['Guard', 'Guard', 'Forward', 'Forward',\n                                'Guard', 'Guard', 'Forward', 'Forward'],\n                   ' points<\/span> ': [22, 30, 14, 15, 19, 30, 23, 20]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team position points\n0 A Guard 22\n1A Guard 30\n2 A Forward 14\n3 A Forward 15\n4 B Guard 19\n5 B Guard 30\n6 B Forward 23\n7 B Forward 20\n<\/strong><\/pre>\n
 ivot_table()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud300\uacfc \ud3ec\uc9c0\uc158\ubcc4 \ud3ec\uc778\ud2b8 \ud569\uacc4\ub97c \ubcf4\uc5ec\uc8fc\ub294 \ud53c\ubc97 \ud14c\uc774\ube14\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #create pivot table to calculate sum of points by team and position\n<\/span>my_table = pd. pivot_table<\/span> (df, index=[' team<\/span> ', ' position<\/span> '], aggfunc=' sum<\/span> ')\n\n#view pivot table\n<\/span>print<\/span> (my_table)\n\n               points\nteam position        \nA Forward 29\n     Guard 52\nB Forward 43\n     Guard 49\n<\/span><\/span><\/strong><\/pre>\n
 \uacb0\uacfc\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ub2e4\uc74c\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/span><\/p>\n