{"id":987,"date":"2023-07-28T02:07:23","date_gmt":"2023-07-28T02:07:23","guid":{"rendered":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%87%e1%85%a7%e1%86%af-%e1%84%89%e1%85%a2%e1%86%a8%e1%84%89%e1%85%a1%e1%86%bc-%e1%84%89%e1%85%a1%e1%86%ab%e1%84%8c%e1%85%a5%e1%86%b7%e1%84%83%e1%85%a9\/"},"modified":"2023-07-28T02:07:23","modified_gmt":"2023-07-28T02:07:23","slug":"matplotlib-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%87%e1%85%a7%e1%86%af-%e1%84%89%e1%85%a2%e1%86%a8%e1%84%89%e1%85%a1%e1%86%bc-%e1%84%89%e1%85%a1%e1%86%ab%e1%84%8c%e1%85%a5%e1%86%b7%e1%84%83%e1%85%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/matplotlib-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%87%e1%85%a7%e1%86%af-%e1%84%89%e1%85%a2%e1%86%a8%e1%84%89%e1%85%a1%e1%86%bc-%e1%84%89%e1%85%a1%e1%86%ab%e1%84%8c%e1%85%a5%e1%86%b7%e1%84%83%e1%85%a9\/","title":{"rendered":"Matplotlib: \uac12\ubcc4\ub85c \uc0b0\uc810\ub3c4 \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\uc138 \ubc88\uc9f8 \ubcc0\uc218\ub97c \uae30\ubc18\uc73c\ub85c matplotlib \uc0b0\uc810\ub3c4\uc758 \uc810 \uc0c9\uc0c1\uc744 \uc74c\uc601 \ucc98\ub9ac\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 <a href=\"https:\/\/matplotlib.org\/3.3.1\/api\/_as_gen\/matplotlib.pyplot.scatter.html\" target=\"_blank\" rel=\"noopener noreferrer\">matplotlib.pyplot.scatter()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>matplotlib.pyplot.scatter(x, y, s=\uc5c6\uc74c, c=\uc5c6\uc74c, cmap=\uc5c6\uc74c)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong> \ud50c\ub86f\uc5d0\uc11c x\ucd95 \uc704\uce58\uc5d0 \uc0ac\uc6a9\ud560 \uac12 \ud14c\uc774\ube14\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>y:<\/strong> \ud50c\ub86f\uc758 y\ucd95 \uc704\uce58\uc5d0 \uc0ac\uc6a9\ud560 \uac12 \ubc30\uc5f4\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>s:<\/strong> \ub9c8\ucee4\uc758 \ud06c\uae30\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>c:<\/strong> \ub9c8\ucee4 \uc0c9\uc0c1\uc5d0 \uc0ac\uc6a9\ud560 \uac12 \ud45c\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>cmap:<\/strong> \ud50c\ub85c\ud305\uc5d0 \uc0ac\uc6a9\ud560 \uc0c9\uc0c1 \ub9f5\uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>c\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uc0c9\uc0c1 \uac12\uc5d0 \uc0ac\uc6a9\ud560 \ubcc0\uc218\ub97c \uc9c0\uc815\ud560 \uc218 \uc788\uace0 <strong>cmap\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ud3ec\uc778\ud2b8 \ud074\ub77c\uc6b0\ub4dc\uc758 \ub9c8\ucee4\uc5d0 \uc0ac\uc6a9\ud560 \uc2e4\uc81c \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc758 \uc2e4\uc81c \uc0ac\uc6a9\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc608\ub97c \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 1: \uac12\ubcc4\ub85c \uc0c9\uc0c1\uc774 \uc9c0\uc815\ub41c \uc0b0\uc810\ub3c4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd.DataFrame({'x': [25, 12, 15, 14, 19, 23, 25, 29],\n                   'y': [5, 7, 7, 9, 12, 9, 9, 4],\n                   'z': [3, 4, 4, 5, 7, 8, 8, 9]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n        X Y Z\n0 25 5 3\n1 12 7 4\n2 15 7 4\n3 14 9 5\n4 19 12 7\n5 23 9 8\n6 25 9 8\n7 29 4 9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ud68c\uc0c9 \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \uc0ac\uc6a9\ud558\uace0 <strong>z<\/strong> \ubcc0\uc218\uc758 \uac12\uc744 \uc0c9\uc0c1 \ud314\ub808\ud2b8\uc758 \uc74c\uc601\uc73c\ub85c \uc0ac\uc6a9\ud558\uc5ec \ud3ec\uc778\ud2b8 \ud074\ub77c\uc6b0\ub4dc\ub97c \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: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create scatterplot<\/span>\nplt. <span style=\"color: #3366ff;\">scatter<\/span> (df.x, df.y, s=200, c=df.z, cmap=' <span style=\"color: #008000;\">gray<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10278 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/matplotlibscatter1.png\" alt=\"Matplotlib \uc0b0\uc810\ub3c4 \uac12\ubcc4 \uc0c9\uc0c1\" width=\"413\" height=\"279\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud2b9\uc815 \uc608\uc5d0\uc11c\ub294 &#8220;\ud68c\uc0c9&#8221; \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \uc120\ud0dd\ud558\uc9c0\ub9cc <a href=\"https:\/\/matplotlib.org\/3.3.1\/tutorials\/colors\/colormaps.html\" target=\"_blank\" rel=\"noopener noreferrer\">matplotlib \uc0c9\uc0c1 \ud314\ub808\ud2b8 \ubb38\uc11c<\/a> \uc5d0\uc11c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc0c9\uc0c1 \ud314\ub808\ud2b8\uc758 \uc804\uccb4 \ubaa9\ub85d\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub85c &#8220;Greens&#8221;\ub97c \ub300\uc2e0 \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df.x, df.y, s=200, c=df.z, cmap=' <span style=\"color: #008000;\">Greens<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10280 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/matplotlibscatter2.png\" alt=\"cmap\uc744 \uc0ac\uc6a9\ud55c Matplotlib \uc0b0\uc810\ub3c4\" width=\"420\" height=\"286\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uae30\ubcf8\uc801\uc73c\ub85c <strong>c<\/strong> \uc778\uc218 \uac12\uc774 \ub354 \ud070 \ub9c8\ucee4\ub294 \ub354 \uc5b4\ub461\uac8c \ud45c\uc2dc\ub418\uc9c0\ub9cc cmap \uc774\ub984\uc5d0 <strong>_r\uc744<\/strong> \ucd94\uac00\ud558\uba74 \uc774 \ucd94\uc138\ub97c \ubc18\uc804\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df.x, df.y, s=200, c=df.z, cmap=' <span style=\"color: #008000;\">Greens_r<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10281 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/matplotlibscatter3.png\" alt=\"Matplotlib \uc0c9\uc0c1 \ud314\ub808\ud2b8 \ubc18\uc804 \uc2a4\ucf00\uc77c\" width=\"422\" height=\"287\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \ubc94\uc8fc\ubcc4\ub85c \uc0c9\uc0c1\uc774 \uc9c0\uc815\ub41c \uc0b0\uc810\ub3c4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd.DataFrame({'x': [25, 12, 15, 14, 19, 23, 25, 29],\n                   'y': [5, 7, 7, 9, 12, 9, 9, 4],\n                   'z': ['A', 'A', 'B', 'B', 'B', 'C', 'C', 'C']})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tX Y Z\n0 25 5 A\n1 12 7 A\n2 15 7 B\n3 14 9 B\n4 19 12 B\n5 23 9 C\n6 25 9 C\n7 29 4 C<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ubc94\uc8fc\uc5d0 \ub530\ub77c \ub9c8\ucee4 \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud558\uae30 \uc704\ud574 <strong>z<\/strong> \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0b0\uc810\ub3c4\ub97c \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: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\ngroups = df. <span style=\"color: #3366ff;\">groupby<\/span> ('z')\n<span style=\"color: #008000;\">for<\/span> name, group <span style=\"color: #008000;\">in<\/span> groups:\n    plt. <span style=\"color: #3366ff;\">plot<\/span> (group.x, group.y, marker=' <span style=\"color: #993300;\">o<\/span> ', linestyle='', markersize=12, label=name)\n\nplt. <span style=\"color: #3366ff;\">legend<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10282 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/matplotlibscatter4.png\" alt=\"\uce74\ud14c\uace0\ub9ac\ubcc4\ub85c \uc0c9\uc0c1\uc774 \uc9c0\uc815\ub41c Matplotlib \uc0b0\uc810\ub3c4\" width=\"420\" height=\"289\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><em><a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168\u1112\u1161\u11a8\u110b\u1173\u11ab-\u1100\u1161\u11ab\u1103\u1161\u11ab\u1112\u1161\u1100\u1169-\u110c\u1175\u11a8\u110c\u1165\u11b8\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\u110b\u1173\u1105\u1169-\u1100\u1162\u1102\u1167\u11b7\u110b\u1173\u11af-\u1109\u1165\u11af\u1106\u1167\u11bc\u1112\u1161\u1106\u1173\u1105\u1169-\u1110\u1169\u11bc\u1100\u1168\u1105\u1173\u11af-\u1103\u1165-\u1109\u1171\u11b8\u1100\u1166-\u1107\u1162\u110b\u116e\u11af-\u1109\u116e-\u110b\u1175\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uc5ec\uae30\uc5d0\uc11c<\/a> \ub354 \ub9ce\uc740 Python \ud29c\ud1a0\ub9ac\uc5bc\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc138 \ubc88\uc9f8 \ubcc0\uc218\ub97c \uae30\ubc18\uc73c\ub85c matplotlib \uc0b0\uc810\ub3c4\uc758 \uc810 \uc0c9\uc0c1\uc744 \uc74c\uc601 \ucc98\ub9ac\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 matplotlib.pyplot.scatter() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. matplotlib.pyplot.scatter(x, y, s=\uc5c6\uc74c, c=\uc5c6\uc74c, cmap=\uc5c6\uc74c) \uae08: x: \ud50c\ub86f\uc5d0\uc11c x\ucd95 \uc704\uce58\uc5d0 \uc0ac\uc6a9\ud560 \uac12 \ud14c\uc774\ube14\uc785\ub2c8\ub2e4. y: \ud50c\ub86f\uc758 y\ucd95 \uc704\uce58\uc5d0 \uc0ac\uc6a9\ud560 \uac12 \ubc30\uc5f4\uc785\ub2c8\ub2e4. s: \ub9c8\ucee4\uc758 \ud06c\uae30\uc785\ub2c8\ub2e4. c: \ub9c8\ucee4 \uc0c9\uc0c1\uc5d0 \uc0ac\uc6a9\ud560 \uac12 \ud45c\uc785\ub2c8\ub2e4. cmap: \ud50c\ub85c\ud305\uc5d0 [&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-987","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: \uac12\ubcc4\ub85c \uc0b0\uc810\ub3c4 \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud558\ub294 \ubc29\ubc95<\/title>\n<meta name=\"description\" content=\"Matplotlib \uc0b0\uc810\ub3c4\uc758 \uc810\uc744 \uac12\ubcc4\ub85c \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\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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