{"id":2371,"date":"2023-07-22T13:41:48","date_gmt":"2023-07-22T13:41:48","guid":{"rendered":"https:\/\/statorials.org\/ko\/seaborn-%e1%84%82%e1%85%ae%e1%84%8c%e1%85%a5%e1%86%a8-%e1%84%86%e1%85%a1%e1%86%a8%e1%84%83%e1%85%a2-%e1%84%8e%e1%85%a1%e1%84%90%e1%85%b3\/"},"modified":"2023-07-22T13:41:48","modified_gmt":"2023-07-22T13:41:48","slug":"seaborn-%e1%84%82%e1%85%ae%e1%84%8c%e1%85%a5%e1%86%a8-%e1%84%86%e1%85%a1%e1%86%a8%e1%84%83%e1%85%a2-%e1%84%8e%e1%85%a1%e1%84%90%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/seaborn-%e1%84%82%e1%85%ae%e1%84%8c%e1%85%a5%e1%86%a8-%e1%84%86%e1%85%a1%e1%86%a8%e1%84%83%e1%85%a2-%e1%84%8e%e1%85%a1%e1%84%90%e1%85%b3\/","title":{"rendered":"Seaborn\uc5d0\uc11c \ub204\uc801 \ub9c9\ub300 \uadf8\ub798\ud504\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4)"},"content":{"rendered":"

<\/p>\n

\n

\ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub294<\/strong> \uc5ec\ub7ec \uac1c\uc758 \ud558\uc704 \ub9c9\ub300\ub85c \ub098\ub204\uc5b4\uc9c4 \ub9c9\ub300\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \ubcc0\uc218\uc758 \uac12\uc744 \ud55c \ubc88\uc5d0 \uc2dc\uac01\ud654\ud558\ub294 \ucc28\ud2b8 \uc720\ud615\uc785\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Seaborn<\/a> \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub2e4\uc74c \ub204\uc801 \ub9c9\ub300 \uadf8\ub798\ud504\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span> <\/p>\n

\"Seaborn\uc758<\/p>\n

1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131<\/strong><\/span><\/h3>\n

\uba3c\uc800, \ub808\uc2a4\ud1a0\ub791\uc774 \uc6d4\uc694\uc77c\ubd80\ud130 \uae08\uc694\uc77c\uae4c\uc9c0 \uc544\uce68\uacfc \uc800\ub141\uc5d0 \ubc1b\ub294 \ucd1d \uace0\uac1d \uc218\ub97c \ud45c\uc2dc\ud558\ub294 \ub2e4\uc74c pandas DataFrame\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' Day<\/span> ': ['Mon', 'Tue', 'Wed', 'Thur', 'Fri'],\n                   ' Morning<\/span> ': [44, 46, 49, 59, 54],\n                   ' Evening<\/span> ': [33, 46, 50, 49, 60]})\n\n#view DataFrame\n<\/span>df\n\n\tDay Morning Evening\n0 My 44 33\n1 Kills 46 46\n2 Wed 49 50\n3 Thur 59 49\n4 Fri 54 60\n<\/span><\/span><\/strong><\/pre>\n
 2\ub2e8\uacc4: \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8 \ub9cc\ub4e4\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4e4\uc5b4 \ub9e4\uc77c \ucd1d \uace0\uac1d \uc218\ub97c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#set seaborn plotting aesthetics\n<\/span>sns. set<\/span> (style=' white<\/span> ')\n\n#create stacked bar chart\n<\/span>df. set_index<\/span> (' Day<\/span> '). plot<\/span> (kind=' bar<\/span> ', stacked= True<\/span> , color=[' steelblue<\/span> ', ' red<\/span> '])\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 x\ucd95\uc740 \uc694\uc77c\uc744 \ud45c\uc2dc\ud558\uace0, \ub9c9\ub300\ub294 \ub9e4\uc77c \uc544\uce68, \uc800\ub141\uc5d0 \ud574\ub2f9 \ub808\uc2a4\ud1a0\ub791\uc744 \ubc29\ubb38\ud55c \uace0\uac1d \uc218\ub97c \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 3\ub2e8\uacc4: \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8 \uc0ac\uc6a9\uc790 \uc815\uc758<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc27d\uac8c \uc77d\uc744 \uc218 \uc788\ub3c4\ub85d \ucd95 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\uace0, \uc804\uc5ed \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\uace0, X\ucd95 \ub808\uc774\ube14\uc744 \ud68c\uc804\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#set seaborn plotting aesthetics\n<\/span>sns. set<\/span> (style=' white<\/span> ')\n\n#create stacked bar chart\n<\/span>df. set_index<\/span> (' Day<\/span> '). plot<\/span> (kind=' bar<\/span> ', stacked= True<\/span> , color=[' steelblue<\/span> ', ' red<\/span> '])\n\n#add overall title\n<\/span>plt. title<\/span> (' Customers by Time & Day of Week<\/span> ', fontsize= 16<\/span> )\n\n#add axis titles\n<\/span>plt. xlabel<\/span> (' Day of Week<\/span> ')\nplt. ylabel<\/span> (' Number of Customers<\/span> ')\n\n#rotate x-axis labels\n<\/span>plt. xticks<\/span> (rotation= 45<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
\"Seaborn\uc758<\/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 \uc2dc\uac01\ud654\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Seaborn\uc5d0\uc11c \uc6d0\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Seaborn\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub3c4\ud45c\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a>
 Seaborn\uc5d0\uc11c \uba74\uc801 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub294 \uc5ec\ub7ec \uac1c\uc758 \ud558\uc704 \ub9c9\ub300\ub85c \ub098\ub204\uc5b4\uc9c4 \ub9c9\ub300\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \ubcc0\uc218\uc758 \uac12\uc744 \ud55c \ubc88\uc5d0 \uc2dc\uac01\ud654\ud558\ub294 \ucc28\ud2b8 \uc720\ud615\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Seaborn \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ub2e4\uc74c \ub204\uc801 \ub9c9\ub300 \uadf8\ub798\ud504\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. 1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131 \uba3c\uc800, \ub808\uc2a4\ud1a0\ub791\uc774 \uc6d4\uc694\uc77c\ubd80\ud130 \uae08\uc694\uc77c\uae4c\uc9c0 \uc544\uce68\uacfc \uc800\ub141\uc5d0 \ubc1b\ub294 \ucd1d \uace0\uac1d \uc218\ub97c \ud45c\uc2dc\ud558\ub294 \ub2e4\uc74c pandas DataFrame\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. […]<\/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-2371","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nSeaborn\uc5d0\uc11c \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4) - Statorials<\/title>\n<meta name=\"description\" content=\"\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 \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \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\/seaborn-\u1102\u116e\u110c\u1165\u11a8-\u1106\u1161\u11a8\u1103\u1162-\u110e\u1161\u1110\u1173\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seaborn\uc5d0\uc11c \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\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 \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/seaborn-\u1102\u116e\u110c\u1165\u11a8-\u1106\u1161\u11a8\u1103\u1162-\u110e\u1161\u1110\u1173\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T13:41:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/empile2.png\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/seaborn-%e1%84%82%e1%85%ae%e1%84%8c%e1%85%a5%e1%86%a8-%e1%84%86%e1%85%a1%e1%86%a8%e1%84%83%e1%85%a2-%e1%84%8e%e1%85%a1%e1%84%90%e1%85%b3\/\",\"url\":\"https:\/\/statorials.org\/ko\/seaborn-%e1%84%82%e1%85%ae%e1%84%8c%e1%85%a5%e1%86%a8-%e1%84%86%e1%85%a1%e1%86%a8%e1%84%83%e1%85%a2-%e1%84%8e%e1%85%a1%e1%84%90%e1%85%b3\/\",\"name\":\"Seaborn\uc5d0\uc11c \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4) - 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