{"id":1656,"date":"2023-07-25T12:00:23","date_gmt":"2023-07-25T12:00:23","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%87%e1%85%a7%e1%86%af-matplotlib-%e1%84%89%e1%85%a1%e1%86%bc%e1%84%8c%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%b5%e1%86%b7\/"},"modified":"2023-07-25T12:00:23","modified_gmt":"2023-07-25T12:00:23","slug":"%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%87%e1%85%a7%e1%86%af-matplotlib-%e1%84%89%e1%85%a1%e1%86%bc%e1%84%8c%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%b5%e1%86%b7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%87%e1%85%a7%e1%86%af-matplotlib-%e1%84%89%e1%85%a1%e1%86%bc%e1%84%8c%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%b5%e1%86%b7\/","title":{"rendered":"Matplotlib: \uadf8\ub8f9\ubcc4\ub85c \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uadf8\ub8f9\ubcc4\ub85c \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> matplotlib as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\nsns. boxplot<\/span> (x=' group<\/span> ', y=' values<\/span> ', data=df)\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uae34 \ud615\uc2dd \ubc0f \ub113\uc740 \ud615\uc2dd\uc758 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \uadf8\ub8f9 \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: \uae34 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uadf8\ub8f9\ubcc4 \uc0c1\uc790 \uadf8\ub9bc<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uae34 \ud615\uc2dd\uc758 Pandas DataFrame\uc5d0 \ub300\ud55c \uadf8\ub8f9\ubcc4 \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import pandas<\/span> as pd<\/span>\nimport numpy<\/span> as np<\/span>\nimport<\/span> matplotlib as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#create long-form data\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [7, 8, 9, 12, 14, 5, 6, 6, 8, 11, 8, 9, 11, 13, 17],\n                   ' team<\/span> ': np. repeat<\/span> ([' A<\/span> ',' B<\/span> ',' C<\/span> '],5)})\n\n#viewdata\n<\/span>print<\/span> (df)\n\n    team points\n0 7 A\n1 8 A\n2 9 A\n3 12 A\n4 14 A\n5 5 B\n6 6 B\n7 6 B\n8 8 B\n9 11 B\n10 8 C\n11 9 C\n12 11 C\n13 13 C\n14 17 C\n\n#create boxplot by group\n<\/span>sns. boxplot<\/span> (x=' team<\/span> ', y=' points<\/span> ', data=df)<\/strong> <\/pre>\n
\"\uadf8\ub8f9\ubcc4<\/p>\n
 \uc608 2: \uc640\uc774\ub4dc \ud615\uc2dd \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uadf8\ub8f9\ubcc4 \uc0c1\uc790 \uadf8\ub9bc<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc640\uc774\ub4dc \ud615\uc2dd\uc758 Pandas DataFrame\uc5d0 \ub300\ud55c \uadf8\ub8f9\ubcc4 \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import pandas<\/span> as pd<\/span>\nimport numpy<\/span> as np<\/span>\nimport<\/span> matplotlib as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#create wide-form data\n<\/span>df = pd. DataFrame<\/span> ({' A<\/span> ': [7, 8, 9, 12, 14],\n                   ' B<\/span> ': [5, 6, 6, 8, 11],\n                   ' C<\/span> ': [8, 9, 11, 13, 17]})\n\n#viewdata\n<\/span>print<\/span> (df)\n\n    ABC\n0 7 5 8\n1 8 6 9\n2 9 6 11\n3 12 8 13\n4 14 11 17\n\n#create boxplot by group\n<\/span>sns. boxplot<\/span> (x=' variable<\/span> ', y=' value<\/span> ', data= pd.melt<\/span> (df)). set<\/span> (\n            xlabel=' team<\/span> ', \n            ylabel=' points<\/span> ')\n<\/strong><\/pre>\n
\"\uadf8\ub8f9\ubcc4<\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Matplotlib\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a>
 Matplotlib\uc5d0\uc11c \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uadf8\ub8f9\ubcc4\ub85c \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import matplotlib as plt import seaborn as sns sns. boxplot (x=’ group ‘, y=’ values ‘, data=df) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uae34 \ud615\uc2dd \ubc0f \ub113\uc740 \ud615\uc2dd\uc758 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \uadf8\ub8f9 \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: \uae34 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uadf8\ub8f9\ubcc4 \uc0c1\uc790 \uadf8\ub9bc \ub2e4\uc74c […]<\/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-1656","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nMatplotlib: \uadf8\ub8f9\ubcc4\ub85c \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Matplotlib\uc5d0\uc11c \uadf8\ub8f9 \uc0c1\uc790 \uadf8\ub9bc\uc744 \ub9cc\ub4dc\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\" 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