{"id":1214,"date":"2023-07-27T06:29:39","date_gmt":"2023-07-27T06:29:39","guid":{"rendered":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af\/"},"modified":"2023-07-27T06:29:39","modified_gmt":"2023-07-27T06:29:39","slug":"matplotlib-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af\/","title":{"rendered":"Matplotlib\ub85c \ud14c\uc774\ube14\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Matplotlib\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ud14c\uc774\ube14\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c \ub450 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: Pandas DataFrame\uc5d0\uc11c \ud14c\uc774\ube14 \ub9cc\ub4e4\uae30<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create pandas DataFrame\n<\/span>df = pd.DataFrame(np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randn<\/span> (20, 2), columns=[' <span style=\"color: #008000;\">First<\/span> ', ' <span style=\"color: #008000;\">Second<\/span> '])\n\n<span style=\"color: #008080;\">#create table\n<\/span>table = ax. <span style=\"color: #3366ff;\">table<\/span> (cellText=df. <span style=\"color: #3366ff;\">values<\/span> , colLabels=df. <span style=\"color: #3366ff;\">columns<\/span> , loc=' <span style=\"color: #008000;\">center<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \uc0ac\uc6a9\uc790 \uc815\uc758 \uac12\uc73c\ub85c \ubc30\uc5f4 \ub9cc\ub4e4\uae30<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create values for table\n<\/span>table_data=[\n    [\"Player 1\", 30],\n    [\"Player 2\", 20],\n    [\"Player 3\", 33],\n    [\"Player 4\", 25],\n    [\"Player 5\", 12]\n]\n\n<span style=\"color: #008080;\">#create table\n<\/span>table = ax. <span style=\"color: #3366ff;\">table<\/span> (cellText=table_data, loc=' <span style=\"color: #008000;\">center<\/span> ')<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \ubc29\ubc95\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\uc2dc 1: Pandas DataFrame\uc5d0\uc11c \ud14c\uc774\ube14 \ub9cc\ub4e4\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc758 \uac12\uc744 \ud3ec\ud568\ud558\ub294 Matplotlib\uc5d0\uc11c \ud14c\uc774\ube14\uc744 \uc0dd\uc131\ud558\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> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> matplotlib.pyplot <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#define figure and axes\n<\/span>fig, ax = plt. <span style=\"color: #3366ff;\">subplots<\/span> ()\n\n<span style=\"color: #008080;\">#hide the axes\n<\/span>fig.patch. <span style=\"color: #3366ff;\">set_visible<\/span> (False)\nax.axis(' <span style=\"color: #008000;\">off<\/span> ')\nax.axis(' <span style=\"color: #008000;\">tight<\/span> ')\n\n<span style=\"color: #008080;\">#createdata\n<\/span>df = pd.DataFrame(np. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">randn<\/span> (20, 2), columns=[' <span style=\"color: #008000;\">First<\/span> ', ' <span style=\"color: #008000;\">Second<\/span> '])\n\n<span style=\"color: #008080;\">#create table\n<\/span>table = ax. <span style=\"color: #3366ff;\">table<\/span> (cellText=df.values, colLabels=df.columns, loc=' <span style=\"color: #008000;\">center<\/span> ')\n\n<span style=\"color: #008080;\">#display table\n<\/span>fig. <span style=\"color: #3366ff;\">tight_layout<\/span> ()\nplt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12030 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tableau-1.png\" alt=\"Matplotlib \ud14c\uc774\ube14\" width=\"393\" height=\"301\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \uc0ac\uc6a9\uc790 \uc815\uc758 \uac12\uc73c\ub85c \ud14c\uc774\ube14 \uc0dd\uc131<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc0ac\uc6a9\uc790 \uc815\uc758 \uac12\uc744 \ud3ec\ud568\ud558\ub294 Matplotlib\uc5d0\uc11c \ud14c\uc774\ube14\uc744 \uc0dd\uc131\ud558\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> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> matplotlib.pyplot <span style=\"color: #008000;\">as<\/span> plt \n\n<span style=\"color: #008080;\">#define figure and axes\n<\/span>fig, ax = plt. <span style=\"color: #3366ff;\">subplots<\/span> ()\n\n<span style=\"color: #008080;\">#create values for table\n<span style=\"color: #000000;\">table_data=[\n    [\"Player 1\", 30],\n    [\"Player 2\", 20],\n    [\"Player 3\", 33],\n    [\"Player 4\", 25],\n    [\"Player 5\", 12]\n]\n\n<span style=\"color: #008080;\">#create table\n<\/span>table = ax. <span style=\"color: #3366ff;\">table<\/span> (cellText=table_data, loc=' <span style=\"color: #008000;\">center<\/span> ')\n\n<span style=\"color: #008080;\">#modify table\n<\/span>table. <span style=\"color: #3366ff;\">set_fontsize<\/span> (14)\ntable. <span style=\"color: #3366ff;\">scale<\/span> (1.4)\nax. <span style=\"color: #3366ff;\">axis<\/span> (' <span style=\"color: #008000;\">off<\/span> ')\n\n<span style=\"color: #008080;\">#displaytable\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12031 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tableau-2.png\" alt=\"\uc0ac\uc6a9\uc790 \uc815\uc758 \uac12\uc774 \uc788\ub294 matplotlib \ud14c\uc774\ube14\" width=\"340\" height=\"248\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>table.scale(width, length)\ub294<\/strong> \ud14c\uc774\ube14\uc758 \ub108\ube44\uc640 \uae38\uc774\ub97c \uc218\uc815\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uae38\uc774\ub97c \ubcc0\uacbd\ud558\uc5ec \ud14c\uc774\ube14\uc744 \ub354 \uae38\uac8c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\">table. <span style=\"color: #3366ff;\">scale<\/span> (1.10)\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12032 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tableau-3.png\" alt=\"matplotlib\uc758 \ud14c\uc774\ube14\" width=\"343\" height=\"611\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/matplotlib-\u1110\u1166\u11a8\u1109\u1173\u1110\u1173-\u110e\u116e\u1100\u1161\/\" target=\"_blank\" rel=\"noopener noreferrer\">Matplotlib \ud50c\ub86f\uc5d0 \ud14d\uc2a4\ud2b8\ub97c \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1169\u11bc\u1112\u116c\u11bc\u1107\u1175-matplotlib\/\" target=\"_blank\" rel=\"noopener noreferrer\">Matplotlib\uc5d0\uc11c \uc885\ud6a1\ube44\ub97c \uc124\uc815\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/matplotlib-\u1107\u1165\u11b7\u1105\u1168-\u1100\u1173\u11af\u1101\u1169\u11af-\u110f\u1173\u1100\u1175\/\" target=\"_blank\" rel=\"noopener noreferrer\">Matplotlib\uc5d0\uc11c \ubc94\ub840 \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Matplotlib\ub97c \uc0ac\uc6a9\ud558\uc5ec Python\uc5d0\uc11c \ud14c\uc774\ube14\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c \ub450 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: Pandas DataFrame\uc5d0\uc11c \ud14c\uc774\ube14 \ub9cc\ub4e4\uae30 #create pandas DataFrame df = pd.DataFrame(np. random . randn (20, 2), columns=[&#8216; First &#8216;, &#8216; Second &#8216;]) #create table table = ax. table (cellText=df. values , colLabels=df. columns , loc=&#8217; center &#8216;) \ubc29\ubc95 2: \uc0ac\uc6a9\uc790 [&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-1214","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\ub85c \ud14c\uc774\ube14\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95 - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Matplotlib\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud14c\uc774\ube14\uc744 \uc0dd\uc131\ud558\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\" 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