{"id":840,"date":"2023-07-28T14:19:04","date_gmt":"2023-07-28T14:19:04","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e8%9f%92%e8%9b%87%e5%b9%b4%e9%be%84%e9%87%91%e5%ad%97%e5%a1%94\/"},"modified":"2023-07-28T14:19:04","modified_gmt":"2023-07-28T14:19:04","slug":"%e8%9f%92%e8%9b%87%e5%b9%b4%e9%be%84%e9%87%91%e5%ad%97%e5%a1%94","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e8%9f%92%e8%9b%87%e5%b9%b4%e9%be%84%e9%87%91%e5%ad%97%e5%a1%94\/","title":{"rendered":"\u5982\u4f55\u7528python\u521b\u5efa\u4eba\u53e3\u91d1\u5b57\u5854"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u4eba\u53e3\u91d1\u5b57\u5854<\/strong>\u662f\u663e\u793a\u7ed9\u5b9a\u4eba\u53e3\u7684\u5e74\u9f84\u548c\u6027\u522b\u5206\u5e03\u7684\u56fe\u8868\u3002\u8fd9\u5bf9\u4e8e\u4e86\u89e3\u4eba\u53e3\u6784\u6210\u548c\u4eba\u53e3\u589e\u957f\u8d8b\u52bf\u5f88\u6709\u7528\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 Python \u4e2d\u521b\u5efa\u4ee5\u4e0b\u4eba\u53e3\u91d1\u5b57\u5854\uff1a<\/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 \u4e2d\u7684\u5e74\u9f84\u91d1\u5b57\u5854\" width=\"505\" height=\"347\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python \u4e2d\u7684\u5e74\u9f84\u91d1\u5b57\u5854<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u6570\u636e\u96c6\uff0c\u663e\u793a\u7ed9\u5b9a\u56fd\u5bb6\u6309\u5e74\u9f84\u7ec4\u5212\u5206\u7684\u7537\u6027\u548c\u5973\u6027\u603b\u4eba\u53e3\uff1a<\/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;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4e3a\u6570\u636e\u521b\u5efa\u4eba\u53e3\u91d1\u5b57\u5854\uff1a<\/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 \u4e2d\u7684\u5e74\u9f84\u91d1\u5b57\u5854\" width=\"506\" height=\"348\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u4ece\u56fe\u4e2d\u53ef\u4ee5\u770b\u51fa\uff0c\u7537\u6027\u548c\u5973\u6027\u7684\u5206\u5e03\u76f8\u5f53\u5bf9\u79f0\uff0c\u5927\u90e8\u5206\u4eba\u53e3\u5904\u4e8e\u4e2d\u5e74\u9636\u6bb5\u3002\u901a\u8fc7\u7b80\u5355\u5730\u67e5\u770b\u8fd9\u5f20\u56fe\u8868\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u5f88\u597d\u5730\u4e86\u89e3\u8fd9\u4e2a\u7279\u5b9a\u56fd\u5bb6\u7684\u4eba\u53e3\u7edf\u8ba1\u6570\u636e\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u5728<a href=\"https:\/\/matplotlib.org\/3.1.0\/gallery\/color\/named_colors.html\" target=\"_blank\" rel=\"noopener\">matplotlib \u989c\u8272\u5217\u8868<\/a>\u4e2d\u6307\u5b9a\u989c\u8272\u6765\u8c03\u6574\u7ed8\u56fe\u80cc\u666f\u548c\u5404\u4e2a\u6761\u5f62\u7684\u989c\u8272\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u6307\u5b9a\u201chotpink\u201d\u548c\u201cdodgerblue\u201d\u4e0e\u201c\u7c73\u8272\u201d\u80cc\u666f\u4e00\u8d77\u4f7f\u7528\uff1a<\/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=\"\u5177\u6709\u4e0d\u540c\u8c03\u8272\u677f\u7684 Python \u4eba\u53e3\u91d1\u5b57\u5854\" width=\"507\" height=\"349\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u6839\u636e\u6700\u9002\u5408\u60a8\u7684\u989c\u8272\u968f\u610f\u66f4\u6539\u8c03\u8272\u677f\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4eba\u53e3\u91d1\u5b57\u5854\u662f\u663e\u793a\u7ed9\u5b9a\u4eba\u53e3\u7684\u5e74\u9f84\u548c\u6027\u522b\u5206\u5e03\u7684\u56fe\u8868\u3002\u8fd9\u5bf9\u4e8e\u4e86\u89e3\u4eba\u53e3\u6784\u6210\u548c\u4eba\u53e3\u589e\u957f\u8d8b\u52bf\u5f88\u6709\u7528\u3002 \u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 P [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-840","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u7528 Python \u521b\u5efa\u4eba\u53e3\u91d1\u5b57\u5854 - Statorials<\/title>\n<meta name=\"description\" content=\"\u5173\u4e8e\u5982\u4f55\u7528 Python \u521b\u5efa\u4eba\u53e3\u91d1\u5b57\u5854\u7684\u7b80\u5355\u8bf4\u660e\u3002\" \/>\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\/cn\/\u87d2\u86c7\u5e74\u9f84\u91d1\u5b57\u5854\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta 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