{"id":837,"date":"2023-07-28T14:19:04","date_gmt":"2023-07-28T14:19:04","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%82%e1%85%a1%e1%84%8b%e1%85%b5-%e1%84%91%e1%85%b5%e1%84%85%e1%85%a1%e1%84%86%e1%85%b5%e1%84%83%e1%85%b3\/"},"modified":"2023-07-28T14:19:04","modified_gmt":"2023-07-28T14:19:04","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%82%e1%85%a1%e1%84%8b%e1%85%b5-%e1%84%91%e1%85%b5%e1%84%85%e1%85%a1%e1%84%86%e1%85%b5%e1%84%83%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%82%e1%85%a1%e1%84%8b%e1%85%b5-%e1%84%91%e1%85%b5%e1%84%85%e1%85%a1%e1%84%86%e1%85%b5%e1%84%83%e1%85%b3\/","title":{"rendered":"Python\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub294<\/strong> \ud2b9\uc815 \uc778\uad6c\uc758 \uc5f0\ub839\uacfc \uc131\ubcc4 \ubd84\ud3ec\ub97c \ubcf4\uc5ec\uc8fc\ub294 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \uc774\ub294 \uc778\uad6c \uad6c\uc131\uacfc \uc778\uad6c \uc99d\uac00 \ucd94\uc138\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\uc74c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9264 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poppyramidepython1.png\" alt=\"Python\uc758 \uc5f0\ub839 \ud53c\ub77c\ubbf8\ub4dc\" width=\"505\" height=\"347\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python\uc758 \uc5f0\ub839 \ud53c\ub77c\ubbf8\ub4dc<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ud2b9\uc815 \uad6d\uac00\uc758 \uc5f0\ub839 \uadf8\ub8f9\ubcc4 \ub0a8\uc131\uacfc \uc5ec\uc131\uc758 \uc804\uccb4 \uc778\uad6c\ub97c \ud45c\uc2dc\ud558\ub294 \ub2e4\uc74c \ub370\uc774\ud130 \uc138\ud2b8\uac00 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\"><span style=\"color: #008080;\">#import libraries<\/span> \nimport<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd \n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create dataframe<\/span>\ndf = pd.DataFrame({'Age': ['0-9','10-19','20-29','30-39','40-49','50-59','60 -69','70-79','80-89','90+'], \n                    'Male': [9000, 14000, 22000, 26000, 34000, 32000, 29000, 22000, 14000, 3000], \n                    'Female': [8000, 15000, 19000, 28000, 35000, 34000, 28000, 24000, 17000, 5000]})\n<span style=\"color: #008080;\">#view dataframe<\/span> \ndf\n\n    Age Male Female\n0 0-9 9000 8000\n1 10-19 14000 15000\n2 20-29 22000 19000\n3 30-39 26000 28000\n4 40-49 34000 35000\n5 50-59 32000 34000\n6 60-69 29000 28000\n7 70-79 22000 24000\n8 80-89 14000 17000\n9 90+ 3000 5000\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define x and y limits<\/span>\ny = range(0, len(df))\nx_male = df['Male']\nx_female = df['Female']\n\n<span style=\"color: #008080;\">#define plot parameters<\/span>\nfig, axes = plt.subplots(ncols=2, sharey=True, figsize=(9, 6))\n\n<span style=\"color: #008080;\">#specify background color and plot title<\/span>\nfig.patch.set_facecolor('xkcd:light grey')\nplt.figtext(.5,.9,\"Population Pyramid\", fontsize=15, ha='center')\n    \n<span style=\"color: #008080;\">#define male and female bars<\/span>\naxes[0].barh(y, x_male, align='center', color='royalblue')\naxes[0].set(title='Males')\naxes[1].barh(y, x_female, align='center', color='lightpink')\naxes[1].set(title='Females')\n\n<span style=\"color: #008080;\">#adjust grid parameters and specify labels for y-axis<\/span>\naxes[1].grid()\naxes[0].set(yticks=y, yticklabels=df['Age'])\naxes[0].invert_xaxis()\naxes[0].grid()\n\n<span style=\"color: #008080;\">#displayplot<\/span>\nplt.show()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9264 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poppyramidepython1.png\" alt=\"Python\uc758 \uc5f0\ub839 \ud53c\ub77c\ubbf8\ub4dc\" width=\"506\" height=\"348\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub798\ud504\ub97c \ubcf4\uba74 \ub0a8\uc131\uacfc \uc5ec\uc131\uc758 \ubd84\ud3ec\uac00 \uc0c1\ub2f9\ud788 \ub300\uce6d\uc801\uc774\uba70 \uc778\uad6c\uc758 \ub300\ubd80\ubd84\uc774 \uc911\ub144\uce35\uc5d0 \uc18d\ud568\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uadf8\ub798\ud504\ub9cc \ubcf4\uba74 \uc774 \ud2b9\uc815 \uad6d\uac00\uc758 \uc778\uad6c \ud1b5\uacc4\ub97c \ub300\ub7b5\uc801\uc73c\ub85c \ud30c\uc545\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/matplotlib.org\/3.1.0\/gallery\/color\/named_colors.html\" target=\"_blank\" rel=\"noopener\">matplotlib \uc0c9\uc0c1 \ubaa9\ub85d<\/a> \uc5d0\uc11c \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud558\uc5ec \ud50c\ub86f \ubc30\uacbd\uacfc \uac1c\ubcc4 \ub9c9\ub300\uc758 \uc0c9\uc0c1\uc744 \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, &#8220;\ubca0\uc774\uc9c0\uc0c9&#8221; \ubc30\uacbd\uacfc \ud568\uaed8 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574 &#8220;hotpink&#8221; \ubc0f &#8220;dodgerblue&#8221;\ub97c \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>fig.patch.set_facecolor('xkcd: <span style=\"color: #800080;\">beige<\/span> ')\n    \naxes[0].barh(y, x_male, align='center', color=' <span style=\"color: #800080;\">dodgerblue<\/span> ')\n\naxes[1].barh(y, x_female, align='center', color=' <span style=\"color: #800080;\">hotpink<\/span> ')\n\nplt.show()<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9265 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/poppyramidepython2.png\" alt=\"\ub2e4\ub978 \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \uc0ac\uc6a9\ud55c Python \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\" width=\"507\" height=\"349\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc790\uc2e0\uc5d0\uac8c \uac00\uc7a5 \uc798 \uc5b4\uc6b8\ub9ac\ub294 \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \uc790\uc720\ub86d\uac8c \ubcc0\uacbd\ud574 \ubcf4\uc138\uc694.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub294 \ud2b9\uc815 \uc778\uad6c\uc758 \uc5f0\ub839\uacfc \uc131\ubcc4 \ubd84\ud3ec\ub97c \ubcf4\uc5ec\uc8fc\ub294 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \uc774\ub294 \uc778\uad6c \uad6c\uc131\uacfc \uc778\uad6c \uc99d\uac00 \ucd94\uc138\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\uc74c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. Python\uc758 \uc5f0\ub839 \ud53c\ub77c\ubbf8\ub4dc \ud2b9\uc815 \uad6d\uac00\uc758 \uc5f0\ub839 \uadf8\ub8f9\ubcc4 \ub0a8\uc131\uacfc \uc5ec\uc131\uc758 \uc804\uccb4 \uc778\uad6c\ub97c \ud45c\uc2dc\ud558\ub294 \ub2e4\uc74c \ub370\uc774\ud130 \uc138\ud2b8\uac00 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. #import libraries import numpy as np import pandas as pd import [&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-837","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>Python\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"Python\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1102\u1161\u110b\u1175-\u1111\u1175\u1105\u1161\u1106\u1175\u1103\u1173\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95 - 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