{"id":4260,"date":"2023-07-12T11:08:26","date_gmt":"2023-07-12T11:08:26","guid":{"rendered":"https:\/\/statorials.org\/ko\/seaborn-pairplot-%e1%84%89%e1%85%a2%e1%86%a8%e1%84%8c%e1%85%a9\/"},"modified":"2023-07-12T11:08:26","modified_gmt":"2023-07-12T11:08:26","slug":"seaborn-pairplot-%e1%84%89%e1%85%a2%e1%86%a8%e1%84%8c%e1%85%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/seaborn-pairplot-%e1%84%89%e1%85%a2%e1%86%a8%e1%84%8c%e1%85%a9\/","title":{"rendered":"Seaborn: pairplot\uc5d0\uc11c \uc0c9\uc870 \ub9e4\uac1c\ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

Seaborn\uc5d0\uc11c \ud50c\ub86f \uc30d\uc744 \uc0dd\uc131\ud560 \ub54c \uc0c9\uc870<\/strong> \ub9e4\uac1c\ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \ubcc0\uc218\uc758 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ud50c\ub86f\uc758 \uc0c9\uc0c1 \uce21\uba74\uc744 \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> seaborn as<\/span> sns\n\nsns. pairplot<\/span> (data=df, hue=' team<\/span> ')\n<\/strong><\/pre>\n
 \uc774 \ud2b9\uc815 \uc608\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uac01 \uc22b\uc790 \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc30d \ud50c\ub86f\uc744 \ub9cc\ub4e4\uace0 \ud300<\/strong> \ubcc0\uc218 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ud50c\ub86f\uc758 \uc0c9\uc0c1 \uce21\uba74\uc744 \ub9cc\ub4ed\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: Seaborn pairplot\uc5d0\uc11c \uc0c9\uc870 \ub9e4\uac1c\ubcc0\uc218 \uc0ac\uc6a9<\/strong><\/span><\/h2>\n
 \uc11c\ub85c \ub2e4\ub978 \ub450 \ud300\uc758 \ub18d\uad6c \uc120\uc218\uc758 \ud3ec\uc778\ud2b8\uc640 \uc5b4\uc2dc\uc2a4\ud2b8\ub97c \ubcf4\uc5ec\uc8fc\ub294 \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\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B'],\n                   ' assists<\/span> ': [3, 4, 4, 7, 9, 6, 7, 8, 10, 12],\n                   ' points<\/span> ': [5, 6, 9, 12, 15, 5, 10, 13, 13, 19]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team assists points\n0 to 3 5\n1 to 4 6\n2 to 4 9\n3 to 7 12\n4 to 9 15\n5 B 6 5\n6 B 7 10\n7 B 8 13\n8 B 10 13\n9 B 12 19\n<\/strong><\/span><\/pre>\n
 pairplot()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 seaborn\uc740 DataFrame\uc758 \ub450 \uc22b\uc790 \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec pairplot\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#create pairplot\n<\/span>sns. pairplot<\/span> (data=df)<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 \uacb0\uacfc \uc30d \ub3c4\ud45c\ub294 \uc810\uacfc \ubcf4\uc870 \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0b0\uc810\ub3c4\uc640 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 pairplot()<\/strong> \ud568\uc218\uc5d0\uc11c \uc0c9\uc0c1<\/strong> \ub9e4\uac1c\ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \ud300<\/strong> \ubcc0\uc218 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ud50c\ub86f\uc758 \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#create pairplot using values of team variable as colors\n<\/span>sns. pairplot<\/span> (data=df, hue=' team<\/span> ')<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 \uc0c9\uc0c1<\/strong> \ub9e4\uac1c\ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc744 \ub2e4\uc74c\uacfc \uac19\uc774 \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n