{"id":2024,"date":"2023-07-24T01:01:47","date_gmt":"2023-07-24T01:01:47","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8a%e1%85%b5%e1%84%87%e1%85%a9%e1%86%ab-%e1%84%90%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%b7%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/"},"modified":"2023-07-24T01:01:47","modified_gmt":"2023-07-24T01:01:47","slug":"%e1%84%8a%e1%85%b5%e1%84%87%e1%85%a9%e1%86%ab-%e1%84%90%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%b7%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%8a%e1%85%b5%e1%84%87%e1%85%a9%e1%86%ab-%e1%84%90%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%b7%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/","title":{"rendered":"Seaborn\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub3c4\ud45c\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\uc2dc\uacc4\uc5f4 \ub3c4\ud45c\ub294<\/strong> \uc2dc\uac04\uc5d0 \ub530\ub77c \ubcc0\ud558\ub294 \ub370\uc774\ud130 \uac12\uc744 \uc2dc\uac01\ud654\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc758 seaborn<\/a> \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \uc2dc\uacc4\uc5f4 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608 1: \ub2e8\uc77c \uc2dc\uacc4\uc5f4 \uadf8\ub9ac\uae30<\/strong><\/span><\/h3>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 Seaborn\uc5d0\uc11c \ub2e8\uc77c \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' date<\/span> ': ['1\/2\/2021',\n                            '1\/3\/2021',\n                            '1\/4\/2021',\n                            '1\/5\/2021',\n                            '1\/6\/2021',\n                            '1\/7\/2021',\n                            '1\/8\/2021'],\n                   ' value<\/span> ': [4, 7, 8, 13, 17, 15, 21]})\n\nsns. lineplot<\/span> (x=' date<\/span> ', y=' value<\/span> ', data=df)\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \uc0c9\uc0c1, \uc120 \ub108\ube44, \uc120 \uc2a4\ud0c0\uc77c, \ub808\uc774\ube14 \ubc0f \ud50c\ub86f \uc81c\ubaa9\uc744 \uc0ac\uc6a9\uc790 \uc815\uc758\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 #create time series plot with custom<\/b> aesthetics<\/b><\/span><\/span> \nsns.<\/b> lineplot<\/span> (x='<\/b> date<\/span> ', y='<\/b> value<\/span> ', data=df, linewidth=<\/b> 3<\/span> , color='<\/b> purple<\/span> ',\n             linestyle='<\/b> dashed<\/span> ').<\/b> set<\/span> (title='<\/b> Time Series Plot<\/span> ')\n\n#rotate x-axis labels by 15 degrees<\/span>\nplt.<\/b> xticks<\/span> (rotation=<\/b> 15<\/span> )\n<\/b><\/pre>\n
\"Seaborn\uc758<\/p>\n
 \uc608 2: \uc5ec\ub7ec \uc2dc\uacc4\uc5f4 \ud50c\ub86f<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Seaborn\uc5d0\uc11c \uc5ec\ub7ec \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': ['1\/1\/2021',\n                            '1\/2\/2021',\n                            '1\/3\/2021',\n                            '1\/4\/2021',\n                            '1\/1\/2021',\n                            '1\/2\/2021',\n                            '1\/3\/2021',\n                            '1\/4\/2021'],\n                   ' sales<\/span> ': [4, 7, 8, 13, 17, 15, 21, 28],\n                   ' company<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B']})\n\n#plot multiple time series\n<\/span>sns. lineplot<\/span> (x=' date<\/span> ', y=' sales<\/span> ', hue=' company<\/span> ', data=df)<\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \uc0c9\uc0c1<\/strong> \uc778\uc218\ub294 \ud50c\ub86f\uc758 \uac01 \uc120\uc5d0 \ub300\ud574 \uc11c\ub85c \ub2e4\ub978 \uc0c9\uc0c1\uc744 \uc81c\uacf5\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 seaborn\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uae30\ub2a5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Seaborn \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Seaborn\uc5d0\uc11c \ubc94\ub840 \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a>
 Seaborn\uc5d0\uc11c \ubc94\ub840\uc758 \uc704\uce58\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc2dc\uacc4\uc5f4 \ub3c4\ud45c\ub294 \uc2dc\uac04\uc5d0 \ub530\ub77c \ubcc0\ud558\ub294 \ub370\uc774\ud130 \uac12\uc744 \uc2dc\uac01\ud654\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc758 seaborn \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \uc2dc\uacc4\uc5f4 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc608 1: \ub2e8\uc77c \uc2dc\uacc4\uc5f4 \uadf8\ub9ac\uae30 \ub2e4\uc74c \ucf54\ub4dc\ub294 Seaborn\uc5d0\uc11c \ub2e8\uc77c \uc2dc\uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd import matplotlib. pyplot as plt import seaborn as sns #createDataFrame df = pd. DataFrame […]<\/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-2024","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nSeaborn\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub3c4\ud45c\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Seaborn\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ud50c\ub86f\uc744 \uc0dd\uc131\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\" 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