{"id":2367,"date":"2023-07-22T14:05:30","date_gmt":"2023-07-22T14:05:30","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8c%e1%85%a5%e1%86%ab%e1%84%89%e1%85%a5%e1%86%af%e1%84%8b%e1%85%b4-%e1%84%89%e1%85%ae%e1%86%ab%e1%84%89%e1%85%a5-matplotlib\/"},"modified":"2023-07-22T14:05:30","modified_gmt":"2023-07-22T14:05:30","slug":"%e1%84%8c%e1%85%a5%e1%86%ab%e1%84%89%e1%85%a5%e1%86%af%e1%84%8b%e1%85%b4-%e1%84%89%e1%85%ae%e1%86%ab%e1%84%89%e1%85%a5-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%8c%e1%85%a5%e1%86%ab%e1%84%89%e1%85%a5%e1%86%af%e1%84%8b%e1%85%b4-%e1%84%89%e1%85%ae%e1%86%ab%e1%84%89%e1%85%a5-matplotlib\/","title":{"rendered":"Matplotlib \ubc94\ub840\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec Matplotlib \ubc94\ub840\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#get handles and labels<\/span>\nhandles, labels = plt. <span style=\"color: #3366ff;\">gca<\/span> (). <span style=\"color: #3366ff;\">get_legend_handles_labels<\/span> ()\n\n<span style=\"color: #008080;\">#specify order of items in legend<\/span>\norder = [1,2,0]\n\n<span style=\"color: #008080;\">#add legend to plot\n<\/span>plt. <span style=\"color: #3366ff;\">legend<\/span> ([handles[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order],[labels[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\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<h3> <span style=\"color: #000000;\"><strong>\uc608: Matplotlib \ubc94\ub840\uc758 \uc694\uc18c \uc21c\uc11c \ubcc0\uacbd<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Matplotlib\uc5d0\uc11c \ub2e4\uc74c\uacfc \uac19\uc740 \uc120 \ucc28\ud2b8\ub97c \uc0dd\uc131\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">\nimport<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create data\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'points': [11, 17, 16, 18, 22, 25, 26, 24, 29],\n                   'assists': [5, 7, 7, 9, 12, 9, 9, 4, 8],\n                   'rebounds': [6, 8, 8, 10, 14, 12, 12, 10, 11]})\n\n<span style=\"color: #008080;\">#add lines to plot\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (df['points'], label='Points', color='green')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['assists'], label='Assists', color='steelblue')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['rebounds'], label='Rebounds', color='purple')\n\n<span style=\"color: #008080;\">#add legend\n<\/span>plt. <span style=\"color: #3366ff;\">legend<\/span> ()<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-21422 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tapis1-1.png\" alt=\"\" width=\"509\" height=\"333\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ubc94\ub840 \uc694\uc18c\ub294 \ud50c\ub86f\uc5d0 \uc120\uc744 \ucd94\uac00\ud55c \uc21c\uc11c\ub300\ub85c \ubc30\uce58\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubc94\ub840\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \uc0ac\uc6a9\uc790 \uc815\uc758\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">\nimport<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create data\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({'points': [11, 17, 16, 18, 22, 25, 26, 24, 29],\n                   'assists': [5, 7, 7, 9, 12, 9, 9, 4, 8],\n                   'rebounds': [6, 8, 8, 10, 14, 12, 12, 10, 11]})\n\n<span style=\"color: #008080;\">#add lines to plot\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (df['points'], label='Points', color='green')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['assists'], label='Assists', color='steelblue')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['rebounds'], label='Rebounds', color='purple')\n\n<span style=\"color: #008080;\">#get handles and labels<\/span>\nhandles, labels = plt. <span style=\"color: #3366ff;\">gca<\/span> (). <span style=\"color: #3366ff;\">get_legend_handles_labels<\/span> ()\n\n<span style=\"color: #008080;\">#specify order of items in legend<\/span>\norder = [1,2,0]\n\n<span style=\"color: #008080;\">#add legend to plot<\/span>\nplt. <span style=\"color: #3366ff;\">legend<\/span> ([handles[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order],[labels[idx] <span style=\"color: #008000;\">for<\/span> idx <span style=\"color: #008000;\">in<\/span> order]) \n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-21423 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tapis2-1.png\" alt=\"Matplotlib \ubc94\ub840 \uc21c\uc11c\" width=\"507\" height=\"341\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc6b0\ub9ac\ub294 \ub2e4\uc74c\uc744 \uc9c0\uc815\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc21c\uc11c = [1, 2, 0]<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uadf8 \uc758\ubbf8\ub294:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ubc94\ub840\uc758 \uccab \ubc88\uc9f8 \ud56d\ubaa9\uc740 \uc6d0\ub798 \uc774\uc804 \ubc94\ub840\uc758 \uc778\ub371\uc2a4 \uc704\uce58 <strong>1<\/strong> \uc5d0 \uc788\ub358 \ub808\uc774\ube14(&#8220;\ub3c4\uc6c0\ub9d0&#8221;)\uc774\uc5b4\uc57c \ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubc94\ub840\uc758 \ub450 \ubc88\uc9f8 \uc694\uc18c\ub294 \uc6d0\ub798 \uc774\uc804 \ubc94\ub840\uc758 \uc778\ub371\uc2a4 \uc704\uce58 <strong>2<\/strong> \uc5d0 \uc788\ub358 \ub808\uc774\ube14(&#8220;Bounces&#8221;)\uc774\uc5b4\uc57c \ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubc94\ub840\uc758 \uc138 \ubc88\uc9f8 \uc694\uc18c\ub294 \uc6d0\ub798 \uc774\uc804 \ubc94\ub840\uc758 \uc778\ub371\uc2a4 \uc704\uce58 <strong>0<\/strong> \uc5d0 \uc788\uc5c8\ub358 \ub808\uc774\ube14(&#8220;\ud3ec\uc778\ud2b8&#8221;)\uc774\uc5b4\uc57c \ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\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<p> <a href=\"https:\/\/statorials.org\/ko\/matplotlib-\u1107\u1165\u11b7\u1105\u1168-\u110b\u1171\u110e\u1175\/\" target=\"_blank\" rel=\"noopener\">Matplotlib\uc5d0\uc11c \ubc94\ub840 \uc704\uce58\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1173\u11af\u1105\u1169\u11ba-\u110b\u116c\u1107\u116e\u110b\u1174-matplotlib-\u1107\u1165\u11b7\u1105\u1168\/\" target=\"_blank\" rel=\"noopener\">Matplotlib \ud50c\ub86f \uc678\ubd80\uc5d0 \ubc94\ub840\ub97c \ubc30\uce58\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\">Matplotlib\uc5d0\uc11c \ubc94\ub840 \uae00\uaf34 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec Matplotlib \ubc94\ub840\uc758 \uc694\uc18c \uc21c\uc11c\ub97c \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #get handles and labels handles, labels = plt. gca (). get_legend_handles_labels () #specify order of items in legend order = [1,2,0] #add legend to plot plt. legend ([handles[idx] for idx in order],[labels[idx] for idx in order]) \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: [&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-2367","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 \ubc94\ub840\uc5d0\uc11c \uc694\uc18c 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