{"id":1186,"date":"2023-07-27T08:47:37","date_gmt":"2023-07-27T08:47:37","guid":{"rendered":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%8e%e1%85%a2%e1%84%8b%e1%85%ae%e1%84%80%e1%85%b5-%e1%84%89%e1%85%a1%e1%84%8b%e1%85%b5\/"},"modified":"2023-07-27T08:47:37","modified_gmt":"2023-07-27T08:47:37","slug":"matplotlib-%e1%84%8e%e1%85%a2%e1%84%8b%e1%85%ae%e1%84%80%e1%85%b5-%e1%84%89%e1%85%a1%e1%84%8b%e1%85%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%8e%e1%85%a2%e1%84%8b%e1%85%ae%e1%84%80%e1%85%b5-%e1%84%89%e1%85%a1%e1%84%8b%e1%85%b5\/","title":{"rendered":"Matplotlib\uc5d0\uc11c \uc904 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Matplotlib \ud50c\ub86f\uc758 \uac12 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \uc27d\uac8c \ucc44\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/matplotlib.org\/3.3.2\/api\/_as_gen\/matplotlib.pyplot.fill_between.html\" target=\"_blank\" rel=\"noopener noreferrer\">fill_between()<\/a> : \ub450 \uc218\ud3c9 \uace1\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6c1\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/matplotlib.org\/3.3.2\/api\/_as_gen\/matplotlib.pyplot.fill_betweenx.html#matplotlib.pyplot.fill_betweenx\" target=\"_blank\" rel=\"noopener noreferrer\">fill_betweenx()<\/a> : \ub450 \uc218\uc9c1 \uace1\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6c1\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uac01 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 1: \ub450 \uc218\ud3c9\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed \ucc44\uc6b0\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub450 \uac1c\uc758 \uc218\ud3c9\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span>x = np. <span style=\"color: #3366ff;\">arange<\/span> (0,10,0.1)\ny = np. <span style=\"color: #3366ff;\">arange<\/span> (10,20,0.1)\n\n<span style=\"color: #008080;\">#create plot of values\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x,y)\n\n<span style=\"color: #008080;\">#fill in area between the two lines\n<\/span>plt. <span style=\"color: #3366ff;\">fill_between<\/span> (x,y,color=' <span style=\"color: #008000;\">red<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11808 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/remplirentre1.png\" alt=\"Matplotlib\uc5d0\uc11c \uc904 \uc0ac\uc774\uc758 \uc601\uc5ed \ucc44\uc6b0\uae30\" width=\"428\" height=\"286\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc5b4\ub5a4 \uac12\uc774 \ucc44\uc6cc\uc84c\ub294\uc9c0 \ub354 \uc27d\uac8c \ud655\uc778\ud558\uae30 \uc704\ud574 <strong>plt.grid()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc5d0 \uadf8\ub9ac\ub4dc\ub97c \ucd94\uac00\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span>x = np. <span style=\"color: #3366ff;\">arange<\/span> (0,10,0.1)\ny = np. <span style=\"color: #3366ff;\">arange<\/span> (10,20,0.1)\n\n<span style=\"color: #008080;\">#create plot of values\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x,y)\n\n<span style=\"color: #008080;\">#fill in area between the two lines\n<\/span>plt. <span style=\"color: #3366ff;\">fill_between<\/span> (x, y, color=' <span style=\"color: #008000;\">red<\/span> ', alpha= <span style=\"color: #008000;\">.5<\/span> )\n\n<span style=\"color: #008080;\">#add gridlines<\/span>\nplt. <span style=\"color: #3366ff;\">grid<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11809 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/remplirentre2.png\" alt=\"matplotlib \uc904 \uc0ac\uc774\uc758 \uc601\uc5ed \ucc44\uc6b0\uae30\" width=\"420\" height=\"276\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \uace1\uc120 \uc544\ub798 \uc601\uc5ed \ucc44\uc6b0\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uace1\uc120 \uc544\ub798 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span>x = np. <span style=\"color: #3366ff;\">arange<\/span> (0,10,0.1)\ny = x**4\n\n<span style=\"color: #008080;\">#create plot of values\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x,y)\n\n<span style=\"color: #008080;\">#fill in area between the two lines\n<\/span>plt. <span style=\"color: #3366ff;\">fill_between<\/span> (x, y, color=' <span style=\"color: #008000;\">red<\/span> ', alpha= <span style=\"color: #008000;\">.5<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11810 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/remplirentre3.png\" alt=\"Matplotlib \uc0ac\uc774 \ucc44\uc6b0\uae30\" width=\"446\" height=\"287\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 3: \uace1\uc120 \uc704 \uc601\uc5ed \ucc44\uc6b0\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uace1\uc120 \uc704\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span>x = np. <span style=\"color: #3366ff;\">arange<\/span> (0,10,0.1)\ny = x**4\n\n<span style=\"color: #008080;\">#create plot of values\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x,y)\n\n<span style=\"color: #008080;\">#fill in area between the two lines\n<\/span>plt. <span style=\"color: #3366ff;\">fill_between<\/span> (x, y, np. <span style=\"color: #3366ff;\">max<\/span> (y), color=' <span style=\"color: #008000;\">red<\/span> ', alpha= <span style=\"color: #008000;\">.5<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11811 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/remplirentre4.png\" alt=\"Matplotlib\uc5d0\uc11c \uace1\uc120 \uc704\uc758 \uc601\uc5ed\uc744 \ucc44\uc6c1\ub2c8\ub2e4.\" width=\"440\" height=\"284\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 4: \ub450 \uc218\uc9c1\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed \ucc44\uc6b0\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>fill_betweenx()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub450 \uc218\uc9c1\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#define x and y values\n<\/span>x = np. <span style=\"color: #3366ff;\">arange<\/span> (0,10,0.1)\ny = np. <span style=\"color: #3366ff;\">arange<\/span> (10,20,0.1)\n\n<span style=\"color: #008080;\">#create plot of values\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x,y)\n\n<span style=\"color: #008080;\">#fill in area between the two lines\n<\/span>plt. <span style=\"color: #3366ff;\">fill_betweenx<\/span> (y, 2, 4, color=' <span style=\"color: #008000;\">red<\/span> ', alpha= <span style=\"color: #008000;\">.5<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11812 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/remplirentre5.png\" alt=\"Python\uc758 matplotlib\uc5d0\uc11c \ub450 \uc904 \uc0ac\uc774\ub97c \ucc44\uc6c1\ub2c8\ub2e4.\" width=\"494\" height=\"317\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ko\/\u1107\u116e\u1103\u1173\u1105\u1165\u110b\u116e\u11ab-\u1100\u1169\u11a8\u1109\u1165\u11ab-matplotlib\/\" target=\"_blank\" rel=\"noopener noreferrer\">Matplotlib\uc5d0\uc11c \ubd80\ub4dc\ub7ec\uc6b4 \uace1\uc120\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec Matplotlib \ud50c\ub86f\uc758 \uac12 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \uc27d\uac8c \ucc44\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. fill_between() : \ub450 \uc218\ud3c9 \uace1\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6c1\ub2c8\ub2e4. fill_betweenx() : \ub450 \uc218\uc9c1 \uace1\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6c1\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uac01 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608 1: \ub450 \uc218\ud3c9\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed \ucc44\uc6b0\uae30 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub450 \uac1c\uc758 \uc218\ud3c9\uc120 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 [&hellip;]<\/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-1186","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Matplotlib\uc5d0\uc11c \uc904 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Matplotlib\uc5d0\uc11c \ub450 \uc904 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\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\/matplotlib-\u110e\u1162\u110b\u116e\u1100\u1175-\u1109\u1161\u110b\u1175\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matplotlib\uc5d0\uc11c \uc904 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Matplotlib\uc5d0\uc11c \ub450 \uc904 \uc0ac\uc774\uc758 \uc601\uc5ed\uc744 \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\uc640 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