{"id":999,"date":"2023-07-28T01:23:17","date_gmt":"2023-07-28T01:23:17","guid":{"rendered":"https:\/\/statorials.org\/cn\/matplotlib-%e5%a0%86%e7%a7%af%e6%9d%a1%e5%bd%a2%e5%9b%be\/"},"modified":"2023-07-28T01:23:17","modified_gmt":"2023-07-28T01:23:17","slug":"matplotlib-%e5%a0%86%e7%a7%af%e6%9d%a1%e5%bd%a2%e5%9b%be","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/matplotlib-%e5%a0%86%e7%a7%af%e6%9d%a1%e5%bd%a2%e5%9b%be\/","title":{"rendered":"\u5982\u4f55\u5728 matplotlib \u4e2d\u521b\u5efa\u5806\u79ef\u6761\u5f62\u56fe\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u5806\u79ef\u6761\u5f62\u56fe<\/strong>\u662f\u4e00\u79cd\u4f7f\u7528\u6761\u5f62\u6765\u663e\u793a\u4e0d\u540c\u7c7b\u522b\u7684\u9891\u7387\u7684\u56fe\u8868\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<a href=\"https:\/\/matplotlib.org\/stable\/api\/_as_gen\/matplotlib.pyplot.bar.html\" target=\"_blank\" rel=\"noopener noreferrer\">matplotlib.pyplot.bar()<\/a>\u51fd\u6570\u5728 Matplotlib \u4e2d\u521b\u5efa\u8fd9\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u529f\u80fd\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u521b\u5efa\u57fa\u672c\u7684\u5806\u79ef\u6761\u5f62\u56fe<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u521b\u5efa\u5806\u79ef\u6761\u5f62\u56fe\u6765\u663e\u793a\u4e24\u79cd\u4ea7\u54c1\u5728\u56db\u4e2a\u4e0d\u540c\u9500\u552e\u5b63\u5ea6\u7684\u603b\u9500\u552e\u989d\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#createdata<\/span>\nquarter = ['Q1', 'Q2', 'Q3', 'Q4']\nproduct_A = [14, 17, 12, 9]\nproduct_B = [7, 15, 24, 18]\n\n<span style=\"color: #008080;\">#define chart parameters\n<\/span>N = 4 \nbarWidth = .5\nxloc = np. <span style=\"color: #3366ff;\">orange<\/span> (N)\n\n<span style=\"color: #008080;\">#display stacked bar chart\n<\/span>p1 = plt. <span style=\"color: #3366ff;\">bar<\/span> (xloc, product_A, width=barWidth)\np2 = plt. <span style=\"color: #3366ff;\">bar<\/span> (xloc, product_B, bottom=product_A, width=barWidth)\nplt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10353 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/stackedbar1.png\" alt=\"Matplotlib \u4e2d\u7684\u5806\u79ef\u6761\u5f62\u56fe\" width=\"381\" height=\"258\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u6dfb\u52a0\u6807\u9898\u3001\u6807\u7b7e\u548c\u8bf4\u660e\u6587\u5b57<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u6dfb\u52a0\u6807\u9898\u3001\u6807\u7b7e\u3001\u523b\u5ea6\u7ebf\u548c\u56fe\u4f8b\uff0c\u4ee5\u4f7f\u56fe\u8868\u66f4\u6613\u4e8e\u9605\u8bfb\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create data for two teams<\/span>\nquarter = ['Q1', 'Q2', 'Q3', 'Q4']\nproduct_A = [14, 17, 12, 9]\nproduct_B = [7, 15, 24, 18]\n\n<span style=\"color: #008080;\">#define chart parameters\n<\/span>N = 4 \nbarWidth = .5\nxloc = np. <span style=\"color: #3366ff;\">orange<\/span> (N)\n\n<span style=\"color: #008080;\">#create stacked bar chart\n<\/span>p1 = plt. <span style=\"color: #3366ff;\">bar<\/span> (xloc, product_A, width=barWidth)\np2 = plt. <span style=\"color: #3366ff;\">bar<\/span> (xloc, product_B, bottom=product_A, width=barWidth)\n\n<span style=\"color: #008080;\">#add labels, title, tick marks, and legend\n<\/span>plt. <span style=\"color: #3366ff;\">ylabel<\/span> ('Sales')\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> ('Quarter')\nplt. <span style=\"color: #3366ff;\">title<\/span> ('Sales by Product &amp; Quarter')\nplt. <span style=\"color: #3366ff;\">xticks<\/span> (xloc, ('Q1', 'Q2', 'Q3', 'Q4'))\nplt. <span style=\"color: #3366ff;\">yticks<\/span> (np. <span style=\"color: #3366ff;\">arange<\/span> (0, 41, 5))\nplt. <span style=\"color: #3366ff;\">legend<\/span> ((p1[0], p2[0]), ('A', 'B'))\n\n<span style=\"color: #008080;\">#displaychart\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10354 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/stackedbar2.png\" alt=\"Matplotlib \u4e2d\u7684\u5806\u79ef\u6761\u5f62\u56fe\" width=\"400\" height=\"285\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u81ea\u5b9a\u4e49\u56fe\u8868\u989c\u8272<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>plt.bar()<\/strong>\u4e2d\u7684<strong>color()<\/strong>\u53c2\u6570\u81ea\u5b9a\u4e49\u56fe\u8868\u4e2d\u4f7f\u7528\u7684\u989c\u8272\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create data for two teams<\/span>\nquarter = ['Q1', 'Q2', 'Q3', 'Q4']\nproduct_A = [14, 17, 12, 9]\nproduct_B = [7, 15, 24, 18]\n\n<span style=\"color: #008080;\">#define chart parameters\n<\/span>N = 4 \nbarWidth = .5\nxloc = np. <span style=\"color: #3366ff;\">orange<\/span> (N)\n\n<span style=\"color: #008080;\">#create stacked bar chart\n<\/span>p1 = plt. <span style=\"color: #3366ff;\">bar<\/span> (xloc, product_A, width=barWidth, color=' <span style=\"color: #008000;\">springgreen<\/span> ')\np2 = plt. <span style=\"color: #3366ff;\">bar<\/span> (xloc, product_B, bottom=product_A, width=barWidth, color=' <span style=\"color: #008000;\">coral<\/span> ')\n\n<span style=\"color: #008080;\">#add labels, title, tick marks, and legend\n<\/span>plt. <span style=\"color: #3366ff;\">ylabel<\/span> ('Sales')\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> ('Quarter')\nplt. <span style=\"color: #3366ff;\">title<\/span> ('Sales by Product &amp; Quarter')\nplt. <span style=\"color: #3366ff;\">xticks<\/span> (xloc, ('Q1', 'Q2', 'Q3', 'Q4'))\nplt. <span style=\"color: #3366ff;\">yticks<\/span> (np. <span style=\"color: #3366ff;\">arange<\/span> (0, 41, 5))\nplt. <span style=\"color: #3366ff;\">legend<\/span> ((p1[0], p2[0]), ('A', 'B'))\n\n<span style=\"color: #008080;\">#displaychart\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10355\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/stackedbar3.png\" alt=\"\u5177\u6709\u81ea\u5b9a\u4e49\u989c\u8272\u7684 Matplotlib \u5806\u53e0\u6761\u5f62\u56fe\" width=\"410\" height=\"294\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u5728 Matplotlib <a href=\"https:\/\/matplotlib.org\/examples\/color\/named_colors.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u6587\u6863<\/a>\u4e2d\u627e\u5230\u53ef\u7528\u989c\u8272\u7684\u5b8c\u6574\u5217\u8868\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/matplotlib-\u66f4\u6539\u5b57\u4f53\u5927\u5c0f\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u66f4\u6539 Matplotlib \u7ed8\u56fe\u4e0a\u7684\u5b57\u4f53\u5927\u5c0f<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/matplotlib-\u5220\u9664\u523b\u5ea6\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u4ece Matplotlib \u56fe\u4e2d\u5220\u9664\u523b\u5ea6<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/matplotlib-\u663e\u793a\u7f51\u683c\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u5728 Matplotlib \u7ed8\u56fe\u4e0a\u663e\u793a\u7f51\u683c\u7ebf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5806\u79ef\u6761\u5f62\u56fe\u662f\u4e00\u79cd\u4f7f\u7528\u6761\u5f62\u6765\u663e\u793a\u4e0d\u540c\u7c7b\u522b\u7684\u9891\u7387\u7684\u56fe\u8868\u3002 \u6211\u4eec\u53ef\u4ee5\u4f7f\u7528matplotlib.pyplot.bar( [&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-999","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\u5728 Matplotlib \u4e2d\u521b\u5efa\u5806\u79ef\u6761\u5f62\u56fe\uff08\u5e26\u6709\u793a\u4f8b\uff09-Statials<\/title>\n<meta name=\"description\" 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