{"id":1185,"date":"2023-07-27T08:55:04","date_gmt":"2023-07-27T08:55:04","guid":{"rendered":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%87%e1%85%a2%e1%84%80%e1%85%a7%e1%86%bc%e1%84%89%e1%85%a2%e1%86%a8\/"},"modified":"2023-07-27T08:55:04","modified_gmt":"2023-07-27T08:55:04","slug":"matplotlib-%e1%84%87%e1%85%a2%e1%84%80%e1%85%a7%e1%86%bc%e1%84%89%e1%85%a2%e1%86%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%87%e1%85%a2%e1%84%80%e1%85%a7%e1%86%bc%e1%84%89%e1%85%a2%e1%86%a8\/","title":{"rendered":"Matplotlib\uc5d0\uc11c \ubc30\uacbd\uc0c9\uc744 \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

Matplotlib\uc5d0\uc11c \ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9\uc744 \ubcc0\uacbd\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 set_facecolor()<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uadf8\ub9bc\uacfc \ucd95\uc744 \uc815\uc758\ud558\ub294 \uacbd\uc6b0:<\/span><\/p>\n

 fig, ax = plt. subplots<\/span> ()\n<\/strong><\/pre>\n
 \uadf8\ub7f0 \ub2e4\uc74c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9\uc744 \uc815\uc758\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 ax. set_facecolor<\/span> (' pink<\/span> ')\n<\/strong><\/pre>\n
 \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc758 \uc2e4\uc81c \uc0ac\uc6a9\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\uc2dc 1: \uc0c9\uc0c1 \uc774\ub984\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubc30\uacbd\uc0c9 \uc124\uc815<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc0c9\uc0c1 \uc774\ub984\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib \ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9\uc744 \uc124\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define plot figure and axis\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#define two arrays for plotting\n<\/span>A = [3, 5, 5, 6, 7, 8]\nB = [12, 14, 17, 20, 22, 27]\n\n#create scatterplot and specify background color to be pink\n<\/span>ax. scatter<\/span> (A, B)\nax. set_facecolor<\/span> (' pink<\/span> ')\n\n#display scatterplot<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"Matplotlib\uc758<\/p>\n
 \uc608\uc2dc 2: 16\uc9c4\uc218 \uc0c9\uc0c1 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc30\uacbd\uc0c9 \uc124\uc815<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 16\uc9c4\uc218 \uc0c9\uc0c1 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec Matplotlib \ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9\uc744 \uc124\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define plot figure and axis\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#define two arrays for plotting\n<\/span>A = [3, 5, 5, 6, 7, 8]\nB = [12, 14, 17, 20, 22, 27]\n\n#create scatterplot and specify background color to be pink\n<\/span>ax. scatter<\/span> (A, B)\nax. set_facecolor<\/span> (' #33FFA2<\/span> ')\n\n#display scatterplot<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"16\uc9c4\uc218<\/p>\n
 \uc608 3: \ud2b9\uc815 \uc11c\ube0c\ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9 \uc124\uc815<\/strong><\/span><\/h3>\n
 \ub54c\ub85c\ub294 \uc5ec\ub7ec Matplotlib \ud50c\ub86f\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e8\uc77c \ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9\uc744 \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define subplots\n<\/span>fig, ax = plt. subplots<\/span> (2, 2)\nfig. tight_layout<\/span> ()\n\n#define background color to use for each subplot\n<\/span>ax[0,0]. set_facecolor<\/span> (' blue<\/span> ')\nax[0,1]. set_facecolor<\/span> (' pink<\/span> ')\nax[1,0]. set_facecolor<\/span> (' green<\/span> ')\nax[1,1]. set_facecolor<\/span> (' red<\/span> ')\n\n#display subplots<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"\ub2e4\uc591\ud55c<\/p>\n
 \uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> Matplotlib \uc11c\ube0c\ud50c\ub86f \uc0ac\uc774\uc758 \uac04\uaca9\uc744 \uc870\uc815\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Matplotlib\uc5d0\uc11c \ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9\uc744 \ubcc0\uacbd\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 set_facecolor() \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uadf8\ub9bc\uacfc \ucd95\uc744 \uc815\uc758\ud558\ub294 \uacbd\uc6b0: fig, ax = plt. subplots () \uadf8\ub7f0 \ub2e4\uc74c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc758 \ubc30\uacbd\uc0c9\uc744 \uc815\uc758\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. ax. set_facecolor (‘ pink ‘) \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc758 \uc2e4\uc81c \uc0ac\uc6a9\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\uc2dc 1: \uc0c9\uc0c1 \uc774\ub984\uc744 […]<\/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-1185","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nMatplotlib\uc5d0\uc11c \ubc30\uacbd\uc0c9\uc744 \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)<\/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\ub9bc\uc758 \ubc30\uacbd\uc0c9\uc744 \ubcc0\uacbd\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\u1162\u1100\u1167\u11bc\u1109\u1162\u11a8\/\" \/>\n<meta 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