{"id":961248,"date":"2024-12-27T03:56:58","date_gmt":"2024-12-26T19:56:58","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/961248.html"},"modified":"2024-12-27T03:57:00","modified_gmt":"2024-12-26T19:57:00","slug":"python%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8figure%e7%b1%bb","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/961248.html","title":{"rendered":"Python\u5982\u4f55\u4f7f\u7528Figure\u7c7b"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25103528\/bda9d81b-d23a-4f81-b752-fd8c21d6ac84.webp\" alt=\"Python\u5982\u4f55\u4f7f\u7528Figure\u7c7b\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u4f7f\u7528Figure\u7c7b\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\uff1a\u5bfc\u5165matplotlib\u5e93\u3001\u521b\u5efaFigure\u5bf9\u8c61\u3001\u6dfb\u52a0\u5b50\u56fe\u3001\u8c03\u6574\u56fe\u5f62\u5c5e\u6027\u3001\u4fdd\u5b58\u56fe\u5f62\u3002<\/strong>\u5728\u8fd9\u4e9b\u6b65\u9aa4\u4e2d\uff0c<strong>\u521b\u5efaFigure\u5bf9\u8c61<\/strong>\u662f\u6838\u5fc3\u6b65\u9aa4\uff0c\u5b83\u5141\u8bb8\u7528\u6237\u6307\u5b9a\u56fe\u5f62\u7684\u5c3a\u5bf8\u548c\u5206\u8fa8\u7387\uff0c\u5e76\u4e3a\u540e\u7eed\u7684\u7ed8\u56fe\u64cd\u4f5c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5bb9\u5668\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u6bcf\u4e2a\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<h2><strong>\u4e00\u3001\u5bfc\u5165MATPLOTLIB\u5e93<\/strong><\/h2>\n<p><p>\u5728\u4f7f\u7528Figure\u7c7b\u4e4b\u524d\uff0c\u5fc5\u987b\u5148\u5bfc\u5165matplotlib\u5e93\u3002matplotlib\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u76842D\u7ed8\u56fe\u5e93\uff0c\u5b83\u53ef\u4ee5\u521b\u5efa\u9759\u6001\u3001\u4ea4\u4e92\u5f0f\u548c\u52a8\u753b\u5f0f\u7684\u56fe\u5f62\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u5bfc\u5165\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>\u8fd9\u884c\u4ee3\u7801\u5c06matplotlib\u7684pyplot\u6a21\u5757\u5bfc\u5165\u4e3aplt\uff0c\u8fd9\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u7ea6\u5b9a\uff0c\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u548c\u6613\u8bfb\u3002<\/p>\n<\/p>\n<h2><strong>\u4e8c\u3001\u521b\u5efaFIGURE\u5bf9\u8c61<\/strong><\/h2>\n<p><p>\u521b\u5efaFigure\u5bf9\u8c61\u662f\u4f7f\u7528Figure\u7c7b\u7684\u6838\u5fc3\u6b65\u9aa4\u3002Figure\u5bf9\u8c61\u662f\u56fe\u5f62\u7684\u9876\u5c42\u5bb9\u5668\uff0c\u6240\u6709\u7684\u7ed8\u56fe\u5143\u7d20\u90fd\u5b58\u5728\u4e8eFigure\u5bf9\u8c61\u4e2d\u3002\u53ef\u4ee5\u901a\u8fc7<code>plt.figure()<\/code>\u51fd\u6570\u6765\u521b\u5efaFigure\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig = plt.figure(figsize=(8, 6), dpi=100)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>figsize<\/code>\u53c2\u6570\u6307\u5b9a\u4e86\u56fe\u5f62\u7684\u5bbd\u548c\u9ad8\uff08\u4ee5\u82f1\u5bf8\u4e3a\u5355\u4f4d\uff09\uff0c<code>dpi<\/code>\u53c2\u6570\u6307\u5b9a\u4e86\u56fe\u5f62\u7684\u5206\u8fa8\u7387\uff08\u6bcf\u82f1\u5bf8\u7684\u70b9\u6570\uff09\u3002\u901a\u8fc7\u8fd9\u4e9b\u53c2\u6570\uff0c\u7528\u6237\u53ef\u4ee5\u63a7\u5236\u56fe\u5f62\u7684\u5c3a\u5bf8\u548c\u8d28\u91cf\u3002<\/p>\n<\/p>\n<h2><strong>\u4e09\u3001\u6dfb\u52a0\u5b50\u56fe<\/strong><\/h2>\n<p><p>\u5728Figure\u5bf9\u8c61\u4e2d\uff0c\u5b50\u56fe\u662f\u5b9e\u9645\u7ed8\u5236\u56fe\u5f62\u7684\u5730\u65b9\u3002\u53ef\u4ee5\u901a\u8fc7<code>add_subplot()<\/code>\u65b9\u6cd5\u5728Figure\u5bf9\u8c61\u4e2d\u6dfb\u52a0\u5b50\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">ax = fig.add_subplot(111)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>111<\/code>\u8868\u793a\u5c06\u56fe\u5f62\u5206\u4e3a1\u884c1\u5217\uff0c\u5e76\u521b\u5efa\u7b2c1\u4e2a\u5b50\u56fe\u3002<code>add_subplot()<\/code>\u65b9\u6cd5\u8fd4\u56de\u4e00\u4e2aAxes\u5bf9\u8c61\uff0cAxes\u5bf9\u8c61\u662f\u5b9e\u9645\u7ed8\u56fe\u7684\u533a\u57df\u3002<\/p>\n<\/p>\n<h2><strong>\u56db\u3001\u8c03\u6574\u56fe\u5f62\u5c5e\u6027<\/strong><\/h2>\n<p><p>\u521b\u5efaFigure\u5bf9\u8c61\u548c\u5b50\u56fe\u4e4b\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u56fe\u5f62\u5c5e\u6027\u6765\u8c03\u6574\u56fe\u5f62\u7684\u5916\u89c2\u3002\u8fd9\u5305\u62ec\u8bbe\u7f6e\u6807\u9898\u3001\u6807\u7b7e\u3001\u523b\u5ea6\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u8c03\u6574\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">ax.set_title(&#39;Sample Title&#39;)<\/p>\n<p>ax.set_xlabel(&#39;X Axis Label&#39;)<\/p>\n<p>ax.set_ylabel(&#39;Y Axis Label&#39;)<\/p>\n<p>ax.grid(True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e9b\u65b9\u6cd5\u5206\u522b\u7528\u4e8e\u8bbe\u7f6e\u5b50\u56fe\u7684\u6807\u9898\u3001X\u8f74\u6807\u7b7e\u3001Y\u8f74\u6807\u7b7e\u548c\u542f\u7528\u7f51\u683c\u7ebf\u3002\u901a\u8fc7\u8fd9\u4e9b\u8bbe\u7f6e\uff0c\u53ef\u4ee5\u4f7f\u56fe\u5f62\u66f4\u52a0\u76f4\u89c2\u548c\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n<h2><strong>\u4e94\u3001\u4fdd\u5b58\u56fe\u5f62<\/strong><\/h2>\n<p><p>\u5b8c\u6210\u7ed8\u56fe\u540e\uff0c\u53ef\u4ee5\u5c06\u56fe\u5f62\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4ee5\u4fbf\u4e8e\u5206\u4eab\u6216\u65e5\u540e\u67e5\u770b\u3002\u53ef\u4ee5\u901a\u8fc7Figure\u5bf9\u8c61\u7684<code>savefig()<\/code>\u65b9\u6cd5\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig.savefig(&#39;output.png&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>output.png<\/code>\u662f\u4fdd\u5b58\u7684\u56fe\u5f62\u6587\u4ef6\u7684\u540d\u79f0\u3002<code>savefig()<\/code>\u65b9\u6cd5\u652f\u6301\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\uff0c\u5305\u62ecPNG\u3001PDF\u3001SVG\u7b49\u3002<\/p>\n<\/p>\n<h2><strong>\u516d\u3001\u5b8c\u6574\u793a\u4f8b<\/strong><\/h2>\n<p><p>\u4e0b\u9762\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528Figure\u7c7b\u521b\u5efa\u548c\u4fdd\u5b58\u4e00\u4e2a\u7b80\u5355\u7684\u6298\u7ebf\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efaFigure\u5bf9\u8c61<\/strong><\/h2>\n<p>fig = plt.figure(figsize=(8, 6), dpi=100)<\/p>\n<h2><strong>\u6dfb\u52a0\u5b50\u56fe<\/strong><\/h2>\n<p>ax = fig.add_subplot(111)<\/p>\n<h2><strong>\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<p>ax.plot(x, y, marker=&#39;o&#39;)<\/p>\n<h2><strong>\u8bbe\u7f6e\u56fe\u5f62\u5c5e\u6027<\/strong><\/h2>\n<p>ax.set_title(&#39;Prime Numbers&#39;)<\/p>\n<p>ax.set_xlabel(&#39;Index&#39;)<\/p>\n<p>ax.set_ylabel(&#39;Value&#39;)<\/p>\n<p>ax.grid(True)<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u5f62<\/strong><\/h2>\n<p>fig.savefig(&#39;primes.png&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165matplotlib\u5e93\uff0c\u7136\u540e\u521b\u5efaFigure\u5bf9\u8c61\u548c\u5b50\u56fe\u3002\u63a5\u7740\uff0c\u6211\u4eec\u4f7f\u7528<code>plot()<\/code>\u65b9\u6cd5\u7ed8\u5236\u4e86\u4e00\u6761\u6298\u7ebf\u56fe\uff0c\u5e76\u901a\u8fc7\u8bbe\u7f6e\u6807\u9898\u3001\u6807\u7b7e\u548c\u7f51\u683c\u7ebf\u6765\u8c03\u6574\u56fe\u5f62\u7684\u5916\u89c2\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528<code>savefig()<\/code>\u65b9\u6cd5\u5c06\u56fe\u5f62\u4fdd\u5b58\u4e3aPNG\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528<code>plt.show()<\/code>\u65b9\u6cd5\u5728\u5c4f\u5e55\u4e0a\u663e\u793a\u56fe\u5f62\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u8be6\u7ec6\u63a2\u8ba8\u4e86\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Figure\u7c7b\u6765\u521b\u5efa\u548c\u7ba1\u7406\u56fe\u5f62\u3002\u5e0c\u671b\u8fd9\u4e9b\u4fe1\u606f\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Figure\u7c7b\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>1. \u4ec0\u4e48\u662fPython\u4e2d\u7684Figure\u7c7b\uff0c\u5b83\u7684\u4e3b\u8981\u7528\u9014\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>Figure\u7c7b\u662fPython\u7684Matplotlib\u5e93\u4e2d\u7684\u4e00\u4e2a\u6838\u5fc3\u7ec4\u4ef6\uff0c\u7528\u4e8e\u521b\u5efa\u548c\u7ba1\u7406\u56fe\u5f62\u7684\u6574\u4f53\u7ed3\u6784\u3002\u5b83\u53ef\u4ee5\u5bb9\u7eb3\u4e00\u4e2a\u6216\u591a\u4e2a\u5b50\u56fe\uff08Axes\uff09\uff0c\u5e76\u63d0\u4f9b\u4e86\u5bf9\u56fe\u5f62\u7684\u5404\u79cd\u5c5e\u6027\u548c\u65b9\u6cd5\u7684\u8bbf\u95ee\u3002\u901a\u8fc7\u4f7f\u7528Figure\u7c7b\uff0c\u7528\u6237\u80fd\u591f\u7075\u6d3b\u5730\u8bbe\u8ba1\u548c\u5e03\u5c40\u56fe\u5f62\uff0c\u6dfb\u52a0\u6807\u9898\u3001\u6807\u7b7e\u548c\u56fe\u4f8b\uff0c\u4ee5\u53ca\u8bbe\u7f6e\u56fe\u5f62\u7684\u5927\u5c0f\u548c\u5206\u8fa8\u7387\u3002<\/p>\n<p><strong>2. \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2aFigure\u5bf9\u8c61\uff1f<\/strong><br \/>\u521b\u5efaFigure\u5bf9\u8c61\u975e\u5e38\u7b80\u5355\u3002\u7528\u6237\u53ea\u9700\u5bfc\u5165Matplotlib\u5e93\uff0c\u5e76\u4f7f\u7528<code>plt.figure()<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff0c<code>import matplotlib.pyplot as plt<\/code>\uff0c\u63a5\u7740\u8c03\u7528<code>fig = plt.figure()<\/code>\u5373\u53ef\u751f\u6210\u4e00\u4e2a\u65b0\u7684Figure\u5bf9\u8c61\u3002\u7528\u6237\u53ef\u4ee5\u5728\u521b\u5efaFigure\u65f6\u6307\u5b9a\u5176\u5927\u5c0f\u548c\u5206\u8fa8\u7387\uff0c\u4f8b\u5982<code>plt.figure(figsize=(10, 5), dpi=100)<\/code>\u3002<\/p>\n<p><strong>3. Figure\u7c7b\u4e2d\u6709\u54ea\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u5b9a\u5236\u6211\u7684\u56fe\u5f62\uff1f<\/strong><br \/>Figure\u7c7b\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5b9a\u5236\u56fe\u5f62\u3002\u5176\u4e2d\u4e00\u4e9b\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a<code>add_subplot()<\/code>\u7528\u4e8e\u6dfb\u52a0\u5b50\u56fe\uff0c<code>suptitle()<\/code>\u7528\u4e8e\u8bbe\u7f6e\u6574\u4e2a\u56fe\u5f62\u7684\u6807\u9898\uff0c<code>savefig()<\/code>\u7528\u4e8e\u4fdd\u5b58\u56fe\u5f62\u5230\u6587\u4ef6\uff0c<code>clear()<\/code>\u7528\u4e8e\u6e05\u9664\u5f53\u524d\u56fe\u5f62\u7684\u6240\u6709\u5185\u5bb9\u3002\u8fd9\u4e9b\u65b9\u6cd5\u4f7f\u5f97\u7528\u6237\u5728\u8bbe\u8ba1\u590d\u6742\u56fe\u5f62\u65f6\u80fd\u591f\u66f4\u9ad8\u6548\u5730\u8fdb\u884c\u64cd\u4f5c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4f7f\u7528Figure\u7c7b\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\uff1a\u5bfc\u5165matplotlib\u5e93\u3001\u521b\u5efaFigure\u5bf9\u8c61\u3001\u6dfb\u52a0\u5b50\u56fe\u3001 [&hellip;]","protected":false},"author":3,"featured_media":961254,"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\/961248"}],"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=961248"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/961248\/revisions"}],"predecessor-version":[{"id":961255,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/961248\/revisions\/961255"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/961254"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=961248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=961248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=961248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}