{"id":3442,"date":"2023-07-17T11:07:39","date_gmt":"2023-07-17T11:07:39","guid":{"rendered":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%87%e1%85%a5%e1%86%b7%e1%84%85%e1%85%a8-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a5\/"},"modified":"2023-07-17T11:07:39","modified_gmt":"2023-07-17T11:07:39","slug":"matplotlib-%e1%84%87%e1%85%a5%e1%86%b7%e1%84%85%e1%85%a8-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%87%e1%85%a5%e1%86%b7%e1%84%85%e1%85%a8-%e1%84%8c%e1%85%a6%e1%84%80%e1%85%a5\/","title":{"rendered":"Matplotlib\uc5d0\uc11c \ubc94\ub840\ub97c \uc81c\uac70\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc758 \ud50c\ub86f\uc5d0\uc11c \ubc94\ub840\ub97c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\nplt. legend<\/span> ('', frameon= False<\/span> )<\/span><\/span><\/strong><\/pre>\n
 ‘ ‘<\/strong> \ub530\uc634\ud45c\ub294 Matplotlib\uc5d0\uac8c \ubc94\ub840\uc5d0 \ubcc0\uc218\ub97c \ubc30\uce58\ud558\uc9c0 \ub9d0\ub77c\uace0 \uc9c0\uc2dc\ud558\uace0, frameon<\/strong> \uc778\uc218\ub294 Matplotlib\uc5d0\uac8c \ubc94\ub840 \uc8fc\uc704\uc758 \ud504\ub808\uc784\uc744 \uc81c\uac70\ud558\ub3c4\ub85d \uc9c0\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608: Matplotlib\uc5d0\uc11c \ubc94\ub840 \uc0ad\uc81c<\/strong><\/span><\/h2>\n
 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' position<\/span> ': ['G', 'G', 'F', 'F', 'G', 'F', 'F', 'F'],\n                   ' points<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team position points\n0 AG 5\n1 AG 7\n2AF 7\n3 AF 9\n4 BG 12\n5 BF 9\n6 BF 9\n7 BF 4<\/span><\/span><\/strong><\/pre>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub97c \ub9cc\ub4e4\uc5b4 \uac01 \ud300 \ubc0f \ud3ec\uc9c0\uc158\uc758 \ud50c\ub808\uc774\uc5b4\uac00 \ub4dd\uc810\ud55c \ucd1d\uc810\uc744 \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#create stacked bar chart\n<\/span>df. groupby<\/span> ([' team<\/span> ', ' position<\/span> ']). size<\/span> (). unstack<\/span> (). plot<\/span> (kind=' bar<\/span> ', stacked= True<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 Matplotlib\uc740 \uae30\ubcf8\uc801\uc73c\ub85c \uc624\ub978\ucabd \uc0c1\ub2e8\uc5d0 \ubc94\ub840\ub97c \ubc30\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc94\ub840 \uc5c6\uc774 \ub3d9\uc77c\ud55c \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#create stacked bar chart\n<\/span>df. groupby<\/span> ([' team<\/span> ', ' position<\/span> ']). size<\/span> (). unstack<\/span> (). plot<\/span> (kind=' bar<\/span> ', stacked= True<\/span> )\n\n#remove legend\n<\/span>plt. legend<\/span> ('', frameon= False<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
\"Matplotlib\uc5d0\uc11c<\/p>\n
 \uc774 \ub204\uc801 \ub9c9\ub300 \ucc28\ud2b8\ub294 \uc774\uc804 \ucc28\ud2b8\uc640 \uc77c\uce58\ud558\uc9c0\ub9cc \ubc94\ub840\uac00 \uc81c\uac70\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub610\ud55c \ub3d9\uc77c\ud55c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc758 \ubaa8\ub4e0 \ud50c\ub86f\uc5d0\uc11c \ubc94\ub840\ub97c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c \ucf54\ub4dc\ub294 Matplotlib\uc5d0\uc11c \uc6d0\ud615 \ucc28\ud2b8\ub97c \ub9cc\ub4e4\uace0 \ubc94\ub840\ub97c \uc81c\uac70\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create pie chart that shows total points scored by team\ndf. groupby<\/span> ([' team<\/span> ']). sum<\/span> (). plot<\/span> (kind=' pie<\/span> ', y=' points<\/span> ')<\/span>\n\n#remove legend\nplt. legend<\/span> ('', frameon= False<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \uacb0\uacfc\ub294 \ubc94\ub840\uac00 \uc5c6\ub294 \uc6d0\ud615 \ucc28\ud2b8\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Matplotlib\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
 Matplotlib \ud50c\ub86f\uc5d0\uc11c \uc9c4\ub4dc\uae30\ub97c \uc81c\uac70\ud558\ub294 \ubc29\ubc95<\/a>
 Matplotlib \ud50c\ub86f\uc5d0\uc11c \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a>
 Matplotlib\uc5d0\uc11c \ud50c\ub86f\uc5d0 \ud3c9\uade0\uc120\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 Matplotlib\uc758 \ud50c\ub86f\uc5d0\uc11c \ubc94\ub840\ub97c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import matplotlib. pyplot as plt plt. legend (”, frameon= False ) ‘ ‘ \ub530\uc634\ud45c\ub294 Matplotlib\uc5d0\uac8c \ubc94\ub840\uc5d0 \ubcc0\uc218\ub97c \ubc30\uce58\ud558\uc9c0 \ub9d0\ub77c\uace0 \uc9c0\uc2dc\ud558\uace0, frameon \uc778\uc218\ub294 Matplotlib\uc5d0\uac8c \ubc94\ub840 \uc8fc\uc704\uc758 \ud504\ub808\uc784\uc744 \uc81c\uac70\ud558\ub3c4\ub85d \uc9c0\uc2dc\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608: Matplotlib\uc5d0\uc11c \ubc94\ub840 \uc0ad\uc81c \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 […]<\/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-3442","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nMatplotlib\uc5d0\uc11c \ubc94\ub840\ub97c \uc81c\uac70\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Matplotlib\uc5d0\uc11c \ubc94\ub840\ub97c \uc81c\uac70\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\/matplotlib-\u1107\u1165\u11b7\u1105\u1168-\u110c\u1166\u1100\u1165\/\" \/>\n<meta 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