{"id":999,"date":"2023-07-28T01:09:20","date_gmt":"2023-07-28T01:09:20","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-matplotlib\/"},"modified":"2023-07-28T01:09:20","modified_gmt":"2023-07-28T01:09:20","slug":"%e1%84%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-matplotlib\/","title":{"rendered":"Matplotlib \uc11c\ube0c\ud50c\ub86f \uc0ac\uc774\uc758 \uac04\uaca9\uc744 \uc870\uc815\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\uc885\uc885 \ud558\uc704 \ud50c\ub86f\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uc5ec\ub7ec \ud50c\ub86f\uc744 \ub098\ub780\ud788 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubd88\ud589\ud558\uac8c\ub3c4 \uc774\ub7ec\ud55c \ud558\uc704 \ud50c\ub86f\uc740 \uae30\ubcf8\uc801\uc73c\ub85c \uacb9\uce58\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 Matplotlib Tight_layout()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc11c\ube0c\ud50c\ub86f \uc0dd\uc131<\/strong><\/span><\/h3>\n

2\uc5f4\uacfc 2\ud589\uc758 4\uac1c \uc11c\ube0c\ud50c\ub86f\uc73c\ub85c \uad6c\uc131\ub41c \ub2e4\uc74c \ubc30\uc5f4\uc744 \uace0\ub824\ud574\ubcf4\uc138\uc694.<\/span> <\/p>\n

 import<\/span> matplotlib.pyplot as<\/span> plt\n\n#define subplots<\/span>\nfig, ax = plt. subplots<\/span> (2, 2)\n\n#display subplots<\/span>\nplt. show<\/span> ()\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \uc11c\ube0c\ud50c\ub86f\uc774 \uc5b4\ub5bb\uac8c \uc57d\uac04 \uacb9\uce58\ub294\uc9c0 \ud655\uc778\ud558\uc138\uc694.<\/span><\/p>\n
 Tight_layout()\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc11c\ube0c\ud50c\ub86f \uac04\uaca9 \uc870\uc815<\/strong><\/span><\/h3>\n
 \uc774 \uc911\ucca9 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 Matplotlib Tight_layout()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\n\n#define subplots<\/span>\nfig, ax = plt. subplots<\/span> (2, 2)\nfig. tight_layout<\/span> ()\n\n#display subplots<\/span>\nplt. show<\/span> ()\n<\/strong><\/pre>\n
\"\uc11c\ube0c\ud50c\ub86f<\/p>\n
 \uc11c\ube0c\ud50c\ub86f \uc81c\ubaa9\uc758 \uac04\uaca9 \uc870\uc815<\/strong><\/span><\/h3>\n
 \uacbd\uc6b0\uc5d0 \ub530\ub77c \uac01 \ud558\uc704 \ud50c\ub86f\uc5d0 \ub300\ud55c \uc81c\ubaa9\uc744 \uac00\uc9c8 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ubd88\ud589\ud558\uac8c\ub3c4 Tight_layout()<\/strong> \ud568\uc218\uc870\ucc28\ub3c4 \ud558\uc704 \ud50c\ub86f \uc81c\ubaa9\uc774 \uacb9\uce58\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\n\n#define subplots<\/span>\nfig, ax = plt. subplots<\/span> (2, 2)\nfig. tight_layout<\/span> ()\n\n#define subplot titles<\/span>\nax[0, 0]. set_title<\/span> ('First Subplot')\nax[0, 1]. set_title<\/span> ('Second Subplot')\nax[1, 0]. set_title<\/span> ('Third Subplot')\nax[1, 1]. set_title<\/span> ('Fourth Subplot')\n\n#display subplots<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"Matplotlib\uc758<\/p>\n
 \uc774 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc740 h_pad<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud558\uc704 \ud50c\ub86f \uc0ac\uc774\uc758 \ub192\uc774 \ud328\ub529\uc744 \ub298\ub9ac\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\n\n#define subplots<\/span>\nfig, ax = plt. subplots<\/span> (2, 2)\nfig. tight_layout<\/span> (h_pad= 2<\/span> )\n\n#define subplot titles<\/span>\nax[0, 0]. set_title<\/span> ('First Subplot')\nax[0, 1]. set_title<\/span> ('Second Subplot')\nax[1, 0]. set_title<\/span> ('Third Subplot')\nax[1, 1]. set_title<\/span> ('Fourth Subplot')\n\n#display subplots<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"Matplotlib<\/p>\n
 \uc804\uccb4 \uc81c\ubaa9 \uac04\uaca9 \uc870\uc815<\/strong><\/span><\/h3>\n
 \uc804\uccb4 \uc81c\ubaa9\uc774 \uc788\ub294 \uacbd\uc6b0 subplots_adjust()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud558\uc704 \ud50c\ub86f \uc81c\ubaa9\uacfc \uacb9\uce58\uc9c0 \uc54a\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\n\n#define subplots<\/span>\nfig, ax = plt. subplots<\/span> (2, 2)\nfig. tight_layout<\/span> (h_pad= 2<\/span> )\n\n#define subplot titles<\/span>\nax[0, 0]. set_title<\/span> ('First Subplot')\nax[0, 1]. set_title<\/span> ('Second Subplot')\nax[1, 0]. set_title<\/span> ('Third Subplot')\nax[1, 1]. set_title<\/span> ('Fourth Subplot')\n\n#add overall title and adjust it so that it doesn't overlap with subplot titles<\/span>\nfig.suptitle(' Overall Title<\/span> ')\nplt.subplots_adjust(top= 0.85<\/span> )\n\n#display subplots<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"Matplotlib\uc758<\/p>\n
 \uc5ec\uae30\uc5d0\uc11c<\/a> \ub354 \ub9ce\uc740 Matplotlib \ud29c\ud1a0\ub9ac\uc5bc\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc885\uc885 \ud558\uc704 \ud50c\ub86f\uc744 \uc0ac\uc6a9\ud558\uc5ec Matplotlib\uc5d0\uc11c \uc5ec\ub7ec \ud50c\ub86f\uc744 \ub098\ub780\ud788 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubd88\ud589\ud558\uac8c\ub3c4 \uc774\ub7ec\ud55c \ud558\uc704 \ud50c\ub86f\uc740 \uae30\ubcf8\uc801\uc73c\ub85c \uacb9\uce58\ub294 \uacbd\ud5a5\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 Matplotlib Tight_layout() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc11c\ube0c\ud50c\ub86f \uc0dd\uc131 2\uc5f4\uacfc 2\ud589\uc758 4\uac1c \uc11c\ube0c\ud50c\ub86f\uc73c\ub85c \uad6c\uc131\ub41c \ub2e4\uc74c \ubc30\uc5f4\uc744 \uace0\ub824\ud574\ubcf4\uc138\uc694. import matplotlib.pyplot as plt #define subplots fig, […]<\/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-999","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nMatplotlib \uc11c\ube0c\ud50c\ub86f \uc0ac\uc774\uc758 \uac04\uaca9\uc744 \uc870\uc815\ud558\ub294 \ubc29\ubc95 - 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 \ud558\uc704 \ud50c\ub86f \uc0ac\uc774\uc758 \uac04\uaca9\uc744 \uc870\uc815\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\/\u1109\u1165\u1107\u1173\u1111\u1173\u11af\u1105\u1169\u11ba-\u1100\u1161\u11ab\u1100\u1167\u11a8-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matplotlib \uc11c\ube0c\ud50c\ub86f \uc0ac\uc774\uc758 \uac04\uaca9\uc744 \uc870\uc815\ud558\ub294 \ubc29\ubc95 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 Matplotlib\uc5d0\uc11c \ud558\uc704 \ud50c\ub86f \uc0ac\uc774\uc758 \uac04\uaca9\uc744 \uc870\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1109\u1165\u1107\u1173\u1111\u1173\u11af\u1105\u1169\u11ba-\u1100\u1161\u11ab\u1100\u1167\u11a8-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T01:09:20+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sous-intrigueespace1.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\/%e1%84%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-matplotlib\/\",\"url\":\"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a5%e1%84%87%e1%85%b3%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%80%e1%85%a1%e1%86%ab%e1%84%80%e1%85%a7%e1%86%a8-matplotlib\/\",\"name\":\"Matplotlib \uc11c\ube0c\ud50c\ub86f \uc0ac\uc774\uc758 \uac04\uaca9\uc744 \uc870\uc815\ud558\ub294 \ubc29\ubc95 - 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