{"id":3572,"date":"2023-07-16T18:29:13","date_gmt":"2023-07-16T18:29:13","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%87%e1%85%a2%e1%86%a8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1-%e1%84%89%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1\/"},"modified":"2023-07-16T18:29:13","modified_gmt":"2023-07-16T18:29:13","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%87%e1%85%a2%e1%86%a8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1-%e1%84%89%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1","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%87%e1%85%a2%e1%86%a8%e1%84%87%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1-%e1%84%89%e1%85%ae%e1%86%ab%e1%84%8b%e1%85%b1\/","title":{"rendered":"Pandas\uc5d0\uc11c \ubc31\ubd84\uc704\uc218 \uc21c\uc704\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

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\uac12\uc758 \ubc31\ubd84\uc704\uc218 \uc21c\uc704\ub294<\/strong> \uc21c\uc704\uac00 \uc8fc\uc5b4\uc9c4 \uac12\uacfc \uac19\uac70\ub098 \ub0ae\uc740 \ub370\uc774\ud130\uc138\ud2b8\uc758 \uac12\uc758 \ubc31\ubd84\uc728\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uc11c \ubc31\ubd84\uc704\uc218 \uc21c\uc704\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \uc5f4\uc758 \ubc31\ubd84\uc704\uc218 \uc21c\uc704 \uacc4\uc0b0<\/strong><\/span><\/p>\n

 df[' percent_rank<\/span> '] = df[' some_column<\/span> ']. rank<\/span> (pct= True<\/span> )\n<\/strong><\/span><\/pre>\n
 \ubc29\ubc95 2: \uadf8\ub8f9\ubcc4 \ubc31\ubd84\uc704\uc218 \uc21c\uc704 \uacc4\uc0b0<\/strong><\/span><\/p>\n
 df[' percent_rank<\/span> '] = df. groupby<\/span> (' group_var<\/span> ')[' value_var<\/span> ']. transform<\/span> (' rank<\/span> ', pct= True<\/span> )\n<\/b><\/span><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'A', 'A', 'A',\n                            'B', 'B', 'B', 'B', 'B', 'B', 'B'],\n                   ' points<\/span> ': [2, 5, 5, 7, 9, 13, 15, 17, 22, 24, 30, 31, 38, 39]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   team points\n0 to 2\n1 to 5\n2 to 5\n3 to 7\n4 to 9\n5 to 13\n6 to 15\n7 B 17\n8 B 22\n9 B 24\n10 B 30\n11 B 31\n12 B 38\n13 B 39\n<\/b><\/span><\/pre>\n
 \uc608 1: \uc5f4\uc758 \ubc31\ubd84\uc704\uc218 \uc21c\uc704 \uacc4\uc0b0<\/span><\/strong><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud3ec\uc778\ud2b8 \uc5f4\uc5d0 \uc788\ub294 \uac01 \uac12\uc758 \ubc31\ubd84\uc704\uc218 \uc21c\uc704\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #add new column that shows percentile rank of points\n<\/span>df[' percent_rank<\/span> '] = df[' points<\/span> ']. rank<\/span> (pct= True<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   team points percent_rank\n0 A 2 0.071429\n1 to 5 0.178571\n2 to 5 0.178571\n3 to 7 0.285714\n4 to 9 0.357143\n5 A 13 0.428571\n6 A 15 0.500000\n7 B 17 0.571429\n8 B 22 0.642857\n9 B 24 0.714286\n10 B 30 0.785714\n11 B 31 0.857143\n12 B 38 0.928571\n13 B 39 1.000000\n<\/strong><\/span><\/pre>\n
 Percent_rank<\/strong> \uc5f4\uc758 \uac12\uc744 \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n