{"id":2351,"date":"2023-07-22T15:36:09","date_gmt":"2023-07-22T15:36:09","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%80%e1%85%b3%e1%86%af%e1%84%81%e1%85%a9%e1%86%af-%e1%84%8f%e1%85%b3%e1%84%80%e1%85%b5\/"},"modified":"2023-07-22T15:36:09","modified_gmt":"2023-07-22T15:36:09","slug":"%e1%84%80%e1%85%b3%e1%86%af%e1%84%81%e1%85%a9%e1%86%af-%e1%84%8f%e1%85%b3%e1%84%80%e1%85%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%80%e1%85%b3%e1%86%af%e1%84%81%e1%85%a9%e1%86%af-%e1%84%8f%e1%85%b3%e1%84%80%e1%85%b5\/","title":{"rendered":"Seaborn \ud50c\ub86f\uc5d0\uc11c \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Seaborn \ud50c\ub86f\uc758 \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> seaborn as<\/span> sns\n\nsns. set<\/span> (font_scale= 2<\/span> )\n<\/strong><\/pre>\n
 Font_scale<\/strong> \uc758 \uae30\ubcf8\uac12\uc740 1\uc785\ub2c8\ub2e4. \uc774 \uac12\uc744 \ub298\ub9ac\uba74 \ud50c\ub86f\uc5d0 \uc788\ub294 \ubaa8\ub4e0 \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30\ub97c \ub298\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: Seaborn \ud50c\ub86f\uc5d0 \uc788\ub294 \ubaa8\ub4e0 \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30 \ubcc0\uacbd<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uae30\ubcf8 \uae00\uaf34 \ud06c\uae30\ub97c \uc0ac\uc6a9\ud558\uc5ec Seaborn\uc5d0\uc11c \uac04\ub2e8\ud55c \uaebe\uc740\uc120\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\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', '1\/30\/2021', '1\/1\/2021', '1\/30\/2021'],\n                   ' sales<\/span> ': [4, 11, 6, 18],\n                   ' company<\/span> ': ['A', 'A', 'B', 'B']})\n\n#plot multiple lines<\/span>\nsns. lineplot<\/span> (x=' date<\/span> ', y=' sales<\/span> ', hue=' company<\/span> ', data=df). set<\/span> (title=' Sales Data<\/span> ')<\/span><\/span><\/strong>\n<\/pre>\n
\"\"<\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 sns.set()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc5d0 \uc788\ub294 \ubaa8\ub4e0 \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30\ub97c \ub298\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#increase font size of all elements<\/span>\nsns. set<\/span> (font_scale= 2<\/span> )\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': ['1\/1\/2021', '1\/30\/2021', '1\/1\/2021', '1\/30\/2021'],\n                   ' sales<\/span> ': [4, 11, 6, 18],\n                   ' company<\/span> ': ['A', 'A', 'B', 'B']})\n\n#plot multiple lines\n<\/span>sns. lineplot<\/span> (x=' date<\/span> ', y=' sales<\/span> ', hue=' company<\/span> ', data=df). set<\/span> (title=' Sales Data<\/span> ')<\/span><\/span><\/strong> <\/pre>\n
\"\ud2b9\uc815<\/p>\n
 \uac01 \ud50c\ub86f \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30\uac00 \ud06c\uac8c \ub298\uc5b4\ub0ac\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: Seaborn \ud50c\ub86f\uc5d0\uc11c \ud2b9\uc815 \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30 \ubcc0\uacbd<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Seaborn \ud50c\ub86f\uc5d0\uc11c \ud2b9\uc815 \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\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', '1\/30\/2021', '1\/1\/2021', '1\/30\/2021'],\n                   ' sales<\/span> ': [4, 11, 6, 18],\n                   ' company<\/span> ': ['A', 'A', 'B', 'B']})\n\n#plot multiple lines\n<\/span>sns. lineplot<\/span> (x=' date<\/span> ', y=' sales<\/span> ', hue=' company<\/span> ', data=df)\n\n#modify individual font size of elements\n<\/span>plt. legend<\/span> (title=' Company<\/span> ', fontsize= 20<\/span> )\nplt. xlabel<\/span> (' Date<\/span> ', fontsize= 16<\/span> );\nplt. ylabel<\/span> (' Sales<\/span> ', fontsize= 16<\/span> );\nplt. title<\/span> (' Sales Data<\/span> ', fontsize= 20<\/span> )\nplt. tick_params<\/span> (axis=' both<\/span> ', which=' major<\/span> ', labelsize= 14<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \ud50c\ub86f\uc758 \uac01 \uc694\uc18c\ub294 \uae00\uaf34 \ud06c\uae30<\/strong> \uc778\uc218\uc5d0 \uc9c0\uc815\ub41c \uac12\uc744 \uae30\ubc18\uc73c\ub85c \uace0\uc720\ud55c \uae00\uaf34 \ud06c\uae30\ub97c \uac16\uc2b5\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 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e8\uc77c \uadf8\ub9bc\uc5d0 \uc5ec\ub7ec Seaborn \ud50c\ub86f\uc744 \uc0dd\uc131\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 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Seaborn \ud50c\ub86f\uc758 \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import seaborn as sns sns. set (font_scale= 2 ) Font_scale \uc758 \uae30\ubcf8\uac12\uc740 1\uc785\ub2c8\ub2e4. \uc774 \uac12\uc744 \ub298\ub9ac\uba74 \ud50c\ub86f\uc5d0 \uc788\ub294 \ubaa8\ub4e0 \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30\ub97c \ub298\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: Seaborn \ud50c\ub86f\uc5d0 \uc788\ub294 \ubaa8\ub4e0 \uc694\uc18c\uc758 \uae00\uaf34 \ud06c\uae30 \ubcc0\uacbd \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-2351","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nSeaborn \ud50c\ub86f\uc5d0\uc11c \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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