{"id":1079133,"date":"2025-01-08T12:18:04","date_gmt":"2025-01-08T04:18:04","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1079133.html"},"modified":"2025-01-08T12:18:07","modified_gmt":"2025-01-08T04:18:07","slug":"python%e5%a6%82%e4%bd%95%e6%94%b9%e9%a5%bc%e5%9b%be%e5%9b%be%e4%be%8b%e7%9a%84%e8%b7%9d%e7%a6%bb-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1079133.html","title":{"rendered":"python\u5982\u4f55\u6539\u997c\u56fe\u56fe\u4f8b\u7684\u8ddd\u79bb"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24182321\/ea830fc2-44b7-4126-9976-950dc0e0c4fc.webp\" alt=\"python\u5982\u4f55\u6539\u997c\u56fe\u56fe\u4f8b\u7684\u8ddd\u79bb\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u8c03\u6574\u997c\u56fe\u56fe\u4f8b\u7684\u8ddd\u79bb\u4e3b\u8981\u901a\u8fc7\u8bbe\u7f6e <code>legend<\/code> \u51fd\u6570\u7684\u53c2\u6570\u6765\u5b9e\u73b0\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>loc<\/code>\u3001<code>bbox_to_anchor<\/code>\u7b49\u53c2\u6570<\/strong>\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>matplotlib<\/code> \u5e93\u4e2d\u7684 <code>pyplot<\/code> \u6a21\u5757\u6765\u7ed8\u5236\u997c\u56fe\u5e76\u8c03\u6574\u56fe\u4f8b\u7684\u4f4d\u7f6e\u548c\u8ddd\u79bb\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u6240\u9700\u5e93<\/p>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86 <code>matplotlib<\/code> \u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\uff0c\u5bfc\u5165\u6240\u9700\u7684\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001\u521b\u5efa\u997c\u56fe<\/p>\n<\/p>\n<p><p>\u5728\u7ed8\u5236\u997c\u56fe\u4e4b\u524d\uff0c\u9700\u8981\u51c6\u5907\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">sizes = [15, 30, 45, 10]<\/p>\n<p>labels = [&#39;A&#39;, &#39;B&#39;, &#39;C&#39;, &#39;D&#39;]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4f7f\u7528 <code>plt.pie()<\/code> \u51fd\u6570\u6765\u7ed8\u5236\u997c\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.pie(sizes, labels=labels, autopct=&#39;%1.1f%%&#39;, startangle=140)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001\u8c03\u6574\u56fe\u4f8b\u8ddd\u79bb<\/p>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528 <code>plt.legend()<\/code> \u51fd\u6570\u6765\u8c03\u6574\u56fe\u4f8b\u7684\u4f4d\u7f6e\u548c\u8ddd\u79bb\u3002\u8fd9\u91cc\u6709\u51e0\u4e2a\u5e38\u7528\u53c2\u6570\uff1a<\/p>\n<\/p>\n<ul>\n<li><code>loc<\/code>: \u7528\u4e8e\u8bbe\u7f6e\u56fe\u4f8b\u7684\u4f4d\u7f6e\uff0c\u53ef\u4ee5\u662f\u5b57\u7b26\u4e32\u6216\u6574\u6570\u3002\u4f8b\u5982\uff0c<code>&#39;upper right&#39;<\/code>\u3001<code>&#39;lower left&#39;<\/code> \u7b49\u3002<\/li>\n<li><code>bbox_to_anchor<\/code>: \u7528\u4e8e\u8bbe\u7f6e\u56fe\u4f8b\u7684\u951a\u70b9\uff0c\u53ef\u4ee5\u662f\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u6216\u56db\u4e2a\u5143\u7d20\u7684\u5143\u7ec4\u3002<\/li>\n<\/ul>\n<p><p>\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.legend(loc=&#39;upper right&#39;, bbox_to_anchor=(1.2, 1.0))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001\u5b8c\u6574\u793a\u4f8b\u4ee3\u7801<\/p>\n<\/p>\n<p><p>\u5c06\u4e0a\u8ff0\u6b65\u9aa4\u7ed3\u5408\u8d77\u6765\uff0c\u5b8c\u6574\u7684\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u6570\u636e<\/strong><\/h2>\n<p>sizes = [15, 30, 45, 10]<\/p>\n<p>labels = [&#39;A&#39;, &#39;B&#39;, &#39;C&#39;, &#39;D&#39;]<\/p>\n<h2><strong>\u521b\u5efa\u997c\u56fe<\/strong><\/h2>\n<p>plt.pie(sizes, labels=labels, autopct=&#39;%1.1f%%&#39;, startangle=140)<\/p>\n<h2><strong>\u8c03\u6574\u56fe\u4f8b\u8ddd\u79bb<\/strong><\/h2>\n<p>plt.legend(loc=&#39;upper right&#39;, bbox_to_anchor=(1.2, 1.0))<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e94\u3001\u66f4\u591a\u53c2\u6570\u8bf4\u660e<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u4e0a\u8ff0\u53c2\u6570\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u53c2\u6570\u6765\u8fdb\u4e00\u6b65\u8c03\u6574\u56fe\u4f8b\u7684\u6837\u5f0f\u548c\u4f4d\u7f6e\uff1a<\/p>\n<\/p>\n<ul>\n<li><code>fontsize<\/code>: \u8bbe\u7f6e\u56fe\u4f8b\u6587\u672c\u7684\u5927\u5c0f\u3002<\/li>\n<li><code>title<\/code>: \u8bbe\u7f6e\u56fe\u4f8b\u7684\u6807\u9898\u3002<\/li>\n<li><code>shadow<\/code>: \u8bbe\u7f6e\u56fe\u4f8b\u662f\u5426\u6709\u9634\u5f71\u3002<\/li>\n<\/ul>\n<p><p>\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.legend(loc=&#39;upper right&#39;, bbox_to_anchor=(1.2, 1.0), fontsize=&#39;large&#39;, title=&#39;Legend&#39;, shadow=True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u8c03\u6574 <code>plt.legend()<\/code> \u51fd\u6570\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u63a7\u5236\u997c\u56fe\u56fe\u4f8b\u7684\u8ddd\u79bb\u548c\u4f4d\u7f6e\u3002\u4e3b\u8981\u53c2\u6570\u5305\u62ec <code>loc<\/code> \u548c <code>bbox_to_anchor<\/code>\uff0c\u53ef\u4ee5\u7ed3\u5408\u4f7f\u7528\u4ee5\u5b9e\u73b0\u6700\u4f73\u6548\u679c\u3002\u8fd8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u4f7f\u7528\u5176\u4ed6\u53c2\u6570\u6765\u8fdb\u4e00\u6b65\u7f8e\u5316\u56fe\u4f8b\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8c03\u6574\u997c\u56fe\u56fe\u4f8b\u7684\u8ddd\u79bb\uff1f<\/strong><br \/>\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e<code>bbox_to_anchor<\/code>\u53c2\u6570\u6765\u8c03\u6574\u997c\u56fe\u56fe\u4f8b\u7684\u4f4d\u7f6e\u548c\u8ddd\u79bb\u3002\u5728\u4f7f\u7528Matplotlib\u7ed8\u5236\u997c\u56fe\u65f6\uff0c\u60a8\u53ef\u4ee5\u5728<code>plt.legend()<\/code>\u51fd\u6570\u4e2d\u6307\u5b9a\u8be5\u53c2\u6570\uff0c\u4ee5\u7cbe\u786e\u63a7\u5236\u56fe\u4f8b\u4e0e\u56fe\u7684\u8ddd\u79bb\u3002\u5177\u4f53\u6765\u8bf4\uff0c<code>bbox_to_anchor<\/code>\u7684\u503c\u7531\u4e24\u4e2a\u5143\u7d20\u7ec4\u6210\uff0c\u7b2c\u4e00\u4e2a\u662fX\u5750\u6807\uff0c\u7b2c\u4e8c\u4e2a\u662fY\u5750\u6807\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u5fae\u8c03\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u5e93\u6765\u7ed8\u5236\u997c\u56fe\u5e76\u8c03\u6574\u56fe\u4f8b\u8ddd\u79bb\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u6709Matplotlib\u548cSeaborn\u3002Matplotlib\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u7ed8\u5236\u997c\u56fe\u5e76\u81ea\u5b9a\u4e49\u56fe\u4f8b\u3002\u800cSeaborn\u5219\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u63a5\u53e3\uff0c\u867d\u7136\u5b83\u7684\u997c\u56fe\u529f\u80fd\u76f8\u5bf9\u8f83\u5c11\uff0c\u4f46\u4ecd\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684\u81ea\u5b9a\u4e49\u9009\u9879\u6765\u8c03\u6574\u56fe\u4f8b\u8ddd\u79bb\u3002<\/p>\n<p><strong>\u56fe\u4f8b\u7684\u5176\u4ed6\u81ea\u5b9a\u4e49\u9009\u9879\u6709\u54ea\u4e9b\uff1f<\/strong><br \/>\u9664\u4e86\u8c03\u6574\u8ddd\u79bb\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u81ea\u5b9a\u4e49\u56fe\u4f8b\u7684\u5b57\u4f53\u5927\u5c0f\u3001\u989c\u8272\u3001\u8fb9\u6846\u6837\u5f0f\u7b49\u3002\u4f7f\u7528<code>plt.legend()<\/code>\u7684\u5176\u4ed6\u53c2\u6570\uff0c\u5982<code>fontsize<\/code>\u3001<code>frameon<\/code>\u3001<code>shadow<\/code>\u7b49\uff0c\u53ef\u4ee5\u8ba9\u60a8\u7684\u56fe\u4f8b\u66f4\u52a0\u7f8e\u89c2\u548c\u7b26\u5408\u6574\u4f53\u56fe\u8868\u7684\u8bbe\u8ba1\u98ce\u683c\u3002\u901a\u8fc7\u7ec4\u5408\u4f7f\u7528\u8fd9\u4e9b\u9009\u9879\uff0c\u60a8\u80fd\u591f\u5236\u4f5c\u51fa\u4e13\u4e1a\u4e14\u5438\u5f15\u773c\u7403\u7684\u56fe\u8868\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u8c03\u6574\u997c\u56fe\u56fe\u4f8b\u7684\u8ddd\u79bb\u4e3b\u8981\u901a\u8fc7\u8bbe\u7f6e legend \u51fd\u6570\u7684\u53c2\u6570\u6765\u5b9e\u73b0\uff0c\u53ef\u4ee5\u4f7f\u7528 loc\u3001bbox_ [&hellip;]","protected":false},"author":3,"featured_media":1079139,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1079133"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1079133"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1079133\/revisions"}],"predecessor-version":[{"id":1079140,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1079133\/revisions\/1079140"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1079139"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1079133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1079133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1079133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}