{"id":2514,"date":"2023-07-21T22:38:17","date_gmt":"2023-07-21T22:38:17","guid":{"rendered":"https:\/\/statorials.org\/ko\/python%e1%84%8b%e1%85%b4-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%92%e1%85%aa\/"},"modified":"2023-07-21T22:38:17","modified_gmt":"2023-07-21T22:38:17","slug":"python%e1%84%8b%e1%85%b4-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%92%e1%85%aa","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/python%e1%84%8b%e1%85%b4-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%92%e1%85%aa\/","title":{"rendered":"Python\uc5d0\uc11c \ub370\uc774\ud130 \uadf8\ub8f9\ud654\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95: \uc608\uc81c \ud3ec\ud568"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ub370\uc774\ud130 \uadf8\ub8f9\ud654\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#perform binning with 3 bins<\/span>\ndf[' new_bin<\/span> '] = pd. qcut<\/span> (df[' variable_name<\/span> '], q= 3<\/span> )\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \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> ({' points<\/span> ': [4, 4, 7, 8, 12, 13, 15, 18, 22, 23, 23, 25],\n                   ' assists<\/span> ': [2, 5, 4, 7, 7, 8, 5, 4, 5, 11, 13, 8],\n                   ' rebounds<\/span> ': [7, 7, 4, 6, 3, 8, 9, 9, 12, 11, 8, 9]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds\n0 4 2 7\n1 4 5 7\n2 7 4 4\n3 8 7 6\n4 12 7 3\n5 13 8 8\n6 15 5 9\n7 18 4 9\n8 22 5 12\n9 23 11 11\n10 23 13 8\n11 25 8 9\n<\/span><\/span><\/strong><\/pre>\n
 \uc608 1: \ub9c8\uc2a4\ud130 \ub370\uc774\ud130 \uadf8\ub8f9\ud654 \uc218\ud589<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud2b9\uc815 \uad6c\ubd84 \uae30\ud638\uac00 \uc788\ub294 qcut()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec points<\/strong> \ubcc0\uc218\uc5d0 \ub300\ud55c \ub370\uc774\ud130 \uadf8\ub8f9\ud654\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #perform data binning on variable points<\/em>\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '], q= 3<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 (3,999, 10,667]\n1 4 5 7 (3,999, 10,667]\n2 7 4 4 (3,999, 10,667]\n3 8 7 6 (3,999, 10,667]\n4 12 7 3 (10,667, 19,333]\n5 13 8 8 (10,667, 19,333]\n6 15 5 9 (10,667, 19,333]\n7 18 4 9 (10,667, 19,333]\n8 22 5 12 (19.333, 25.0]\n9 23 11 11 (19.333, 25.0]\n10 23 13 8 (19.333, 25.0]\n11 25 8 9 (19.333, 25.0]\n<\/span><\/span><\/strong><\/pre>\n
 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uac01 \ud589\uc740 \ud3ec\uc778\ud2b8 \uc5f4\uc758 \uac12\uc744 \uae30\uc900\uc73c\ub85c \uc138 \uadf8\ub8f9 \uc911 \ud558\ub098\ub85c \ubc30\uce58\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 value_counts()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 bin\uc5d0 \ubc30\uce58\ub41c \ud589 \uc218\ub97c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #count frequency of each bin\n<\/span>df[' points_bin<\/span> ']. value_counts<\/span> ()\n\n(3,999, 10,667] 4\n(10.667, 19.333] 4\n(19.333, 25.0] 4\nName: points_bin, dtype: int64\n<\/span><\/span><\/strong><\/pre>\n
 \uac01 Bin\uc5d0\ub294 4\uac1c\uc758 \uad00\uce21\uac12\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \ud2b9\uc815 \ubd84\uc704\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \ud074\ub7ec\uc2a4\ud130\ub9c1 \uc218\ud589<\/strong><\/span><\/h3>\n
 \ud2b9\uc815 \ubd84\uc704\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #perform data binning on variable points<\/em> with specific quantiles\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '], q=[0, .2, .4, .6, .8, 1])\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 (3.999, 7.2]\n1 4 5 7 (3.999, 7.2]\n2 7 4 4 (3.999, 7.2]\n3 8 7 6 (7.2, 12.4]\n4 12 7 3 (7.2, 12.4]\n5 13 8 8 (12.4, 16.8]\n6 15 5 9 (12.4, 16.8]\n7 18 4 9 (16.8, 22.8]\n8 22 5 12 (16.8, 22.8]\n9 23 11 11 (22.8, 25.0]\n10 23 13 8 (22.8, 25.0]\n11 25 8 9 (22.8, 25.0]\n<\/span><\/span><\/strong><\/pre>\n
 \uc608\uc2dc 3:<\/strong><\/span> \ub77c\ubca8\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uadf8\ub8f9\ud654 \uc218\ud589<\/strong><\/span><\/h3>\n
 \ud2b9\uc815 \ubd84\uc704\uc218\uc640 \ub808\uc774\ube14\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uadf8\ub8f9\ud654\ub97c \uc218\ud589\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #perform data binning on points<\/em> variable with specific quantiles and labels\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '],\n                           q=[0, .2, .4, .6, .8, 1],\n                           labels=[' A<\/span> ',' B<\/span> ',' C<\/span> ',' D<\/span> ',' E<\/span> '])\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 A\n1 4 5 7 A\n2 7 4 4 A\n3 8 7 6 B\n4 12 7 3 B\n5 13 8 8 C\n6 15 5 9 C\n7 18 4 9 D\n8 22 5 12 D\n9 23 11 11 E\n10 23 13 8 E\n11 25 8 9 E\n<\/span><\/span><\/strong><\/pre>\n
 \uac01 \ud589\uc5d0\ub294 \ud3ec\uc778\ud2b8<\/strong> \uc5f4 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \uad6c\uac04\uc774 \uc9c0\uc815\ub418\uc5c8\uc73c\uba70 \uad6c\uac04\uc5d0\ub294 \ubb38\uc790\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub808\uc774\ube14\uc774 \uc9c0\uc815\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\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
 \ud32c\ub354: value_counts() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas: \uac12 \uac1c\uc218\uac00 \ud3ec\ud568\ub41c \ud53c\ubc97 \ud14c\uc774\ube14\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Pandas: \uc5f4\uc5d0\uc11c \ud2b9\uc815 \uac12\uc758 \ubc1c\uc0dd \ud69f\uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ub370\uc774\ud130 \uadf8\ub8f9\ud654\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import pandas as pd #perform binning with 3 bins df[‘ new_bin ‘] = pd. qcut (df[‘ variable_name ‘], q= 3 ) \ub2e4\uc74c \uc608\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({‘ points ‘: […]<\/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-2514","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c \ub370\uc774\ud130 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Python\uc5d0\uc11c \ub370\uc774\ud130 \uadf8\ub8f9\ud654\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \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\/python\u110b\u1174-\u1103\u1166\u110b\u1175\u1110\u1165-\u1100\u1173\u1105\u116e\u11b8\u1112\u116a\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \ub370\uc774\ud130 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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