{"id":1592,"date":"2023-07-25T17:51:59","date_gmt":"2023-07-25T17:51:59","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%92%e1%85%a2%e1%84%8b%e1%85%a3%e1%86%bc-%e1%84%90%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%90%e1%85%b3%e1%86%af\/"},"modified":"2023-07-25T17:51:59","modified_gmt":"2023-07-25T17:51:59","slug":"%e1%84%92%e1%85%a2%e1%84%8b%e1%85%a3%e1%86%bc-%e1%84%90%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%90%e1%85%b3%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%92%e1%85%a2%e1%84%8b%e1%85%a3%e1%86%bc-%e1%84%90%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%90%e1%85%b3%e1%86%af\/","title":{"rendered":"Seaborn \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e8\uc77c \ud574\uc591 \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub824\uba74 .set()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc608\ub97c \ub4e4\uc5b4 \uc0c1\uc790 \uadf8\ub9bc\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 sns. boxplot<\/span> (data=df, x=' var1<\/span> ', y=' var2<\/span> '). set<\/span> (title=' Title of Plot<\/span> ')\n<\/strong><\/pre>\n
 \ud574\uc591 \ud328\uc2ef \ud50c\ub86f\uc5d0 \uc804\uc5ed \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub824\uba74 .suptitle()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, relplot\uc5d0 \uc804\uc5ed \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #define relplot<\/span>\nrel = sns. relplot<\/span> (data=df, x=' var1<\/span> ', y=' var2<\/span> ', col=' var3<\/span> ')<\/strong>\n\n#add overall title to replot<\/span>\nrel. fig<\/span> . suptitle<\/span> (' Overall Title<\/span> ')<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: \ub2e8\uc77c Seaborn \ud50c\ub86f\uc5d0 \uc81c\ubaa9 \ucd94\uac00<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Seaborn \uc0c1\uc790 \uadf8\ub9bc\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create fake data\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']})\n\n#create boxplot\n<\/span>sns. boxplot<\/span> (data=df, x=' team<\/span> ', y=' points<\/span> '). set<\/span> (title=' Points by Team<\/span> ')<\/strong> <\/pre>\n
\"\uc81c\ubaa9\uc774<\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud574\uc591 \uc0b0\uc810\ub3c4\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 sns. scatterplot<\/span> (data=df, x=' points<\/span> ', y=' assists<\/span> '). set<\/span> (title=' Points vs. Assists<\/span> ')<\/strong> <\/pre>\n
\"\uc81c\ubaa9\uc774<\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Seaborn regplot\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 sns. regplot<\/span> (data=df, x=' points<\/span> ', y=' assists<\/span> '). set<\/span> (title=' Points vs. Assists<\/span> ')<\/strong> <\/pre>\n
\"\uc81c\ubaa9\uc774<\/p>\n
 \uc608 2: Seaborn \uc5bc\uad74 \ud50c\ub86f\uc5d0 \uc804\uc5ed \uc81c\ubaa9 \ucd94\uac00<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Seaborn \ud328\uc2ef \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create fake data\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']})\n\n#create relplot<\/span>\nrel = sns. relplot<\/span> (data=df, x=' points<\/span> ', y=' assists<\/span> ', col=' team<\/span> ')\n\n#add overall title<\/span>\nrel. fig<\/span> . suptitle<\/span> (' Stats by Team<\/span> ')\n<\/strong><\/pre>\n
\"\uc81c\ubaa9\uc774<\/p>\n
 \uac1c\ubcc4 \ud50c\ub86f\uc744 \ubc29\ud574\ud558\uc9c0 \uc54a\ub3c4\ub85d subplots_adjust()<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc804\uccb4 \uc81c\ubaa9\uc744 \uc57d\uac04 \ub354 \ub192\uac8c \uc774\ub3d9\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 #create relplot<\/span>\nrel = sns. relplot<\/span> (data=df, x=' points<\/span> ', y=' assists<\/span> ', col=' team<\/span> ')\n\n#move overall title up<\/span>\nrel. fig<\/span> . subplots_adjust<\/span> (top= .8<\/span> )\n\n#add overall title<\/span>\nrel. fig<\/span> . suptitle<\/span> (' Stats by Team<\/span> ')<\/strong> <\/pre>\n
\"\"<\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Seaborn \ud50c\ub86f\uc758 \uadf8\ub9bc \ud06c\uae30\ub97c \uc870\uc815\ud558\ub294 \ubc29\ubc95<\/a>
 Seaborn\uc5d0\uc11c \ubc94\ub840\uc758 \uc704\uce58\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a>
 Seaborn \ud50c\ub86f\uc5d0\uc11c \ucd95 \ub808\uc774\ube14\uc744 \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e8\uc77c \ud574\uc591 \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub824\uba74 .set() \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uc0c1\uc790 \uadf8\ub9bc\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. sns. boxplot (data=df, x=’ var1 ‘, y=’ var2 ‘). set (title=’ Title of Plot ‘) \ud574\uc591 \ud328\uc2ef \ud50c\ub86f\uc5d0 \uc804\uc5ed \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub824\uba74 .suptitle() \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, relplot\uc5d0 \uc804\uc5ed \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. #define […]<\/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-1592","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nSeaborn \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc591\ud55c \ud574\uc591 \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\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\/\u1112\u1162\u110b\u1163\u11bc-\u1110\u1161\u110b\u1175\u1110\u1173\u11af\/\" 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