{"id":1100758,"date":"2025-01-08T15:42:57","date_gmt":"2025-01-08T07:42:57","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1100758.html"},"modified":"2025-01-08T15:42:59","modified_gmt":"2025-01-08T07:42:59","slug":"python%e5%a6%82%e4%bd%95%e8%ae%a9%e6%8a%98%e7%ba%bf%e5%9b%be%e6%9b%b4%e7%be%8e%e8%a7%82-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1100758.html","title":{"rendered":"python\u5982\u4f55\u8ba9\u6298\u7ebf\u56fe\u66f4\u7f8e\u89c2"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25063840\/f1de310d-61b1-4ebe-9a64-fc988074c008.webp\" alt=\"python\u5982\u4f55\u8ba9\u6298\u7ebf\u56fe\u66f4\u7f8e\u89c2\" \/><\/p>\n<p><p> <strong>Python\u8ba9\u6298\u7ebf\u56fe\u66f4\u7f8e\u89c2\u7684\u65b9\u6cd5\u6709\uff1a\u9009\u62e9\u5408\u9002\u7684\u914d\u8272\u65b9\u6848\u3001\u4f7f\u7528\u7f51\u683c\u7ebf\u548c\u6807\u7b7e\u3001\u8c03\u6574\u56fe\u4f8b\u4f4d\u7f6e\u3001\u4f18\u5316\u6570\u636e\u70b9\u6837\u5f0f\u3001\u6dfb\u52a0\u6807\u9898\u548c\u6ce8\u91ca\u3001\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u6837\u5f0f\u3001\u4f7f\u7528\u9002\u5f53\u7684\u56fe\u8868\u6bd4\u4f8b\u3001\u8c03\u6574\u8f74\u6807\u7b7e\u683c\u5f0f\u7b49\u3002<\/strong> \u5176\u4e2d\uff0c<strong>\u9009\u62e9\u5408\u9002\u7684\u914d\u8272\u65b9\u6848<\/strong>\u662f\u8ba9\u6298\u7ebf\u56fe\u7f8e\u89c2\u7684\u91cd\u8981\u65b9\u5f0f\u4e4b\u4e00\u3002\u9009\u62e9\u9002\u5f53\u7684\u989c\u8272\u4e0d\u4ec5\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u52a0\u5438\u5f15\u4eba\uff0c\u8fd8\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u7684\u53ef\u8bfb\u6027\u548c\u533a\u5206\u5ea6\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Python\u7ed8\u5236\u7f8e\u89c2\u7684\u6298\u7ebf\u56fe\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u9009\u62e9\u5408\u9002\u7684\u914d\u8272\u65b9\u6848<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528Matplotlib\u7684\u9ed8\u8ba4\u914d\u8272\u65b9\u6848<\/li>\n<\/ol>\n<p><p>Matplotlib\u63d0\u4f9b\u4e86\u591a\u79cd\u9ed8\u8ba4\u7684\u914d\u8272\u65b9\u6848\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u9009\u62e9\u548c\u5e94\u7528\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u4f7f\u7528\u9ed8\u8ba4\u7684\u914d\u8272\u65b9\u6848<\/strong><\/h2>\n<p>plt.style.use(&#39;seaborn-darkgrid&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u81ea\u5b9a\u4e49\u914d\u8272\u65b9\u6848<\/li>\n<\/ol>\n<p><p>\u5982\u679c\u9ed8\u8ba4\u7684\u914d\u8272\u65b9\u6848\u4e0d\u80fd\u6ee1\u8db3\u9700\u6c42\uff0c\u53ef\u4ee5\u81ea\u5b9a\u4e49\u989c\u8272\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u81ea\u5b9a\u4e49\u989c\u8272<\/strong><\/h2>\n<p>colors = [&#39;#FF5733&#39;, &#39;#33FF57&#39;, &#39;#3357FF&#39;]<\/p>\n<p>plt.plot(x, y, color=colors[0])<\/p>\n<p>plt.plot(x2, y2, color=colors[1])<\/p>\n<p>plt.plot(x3, y3, color=colors[2])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528\u7f51\u683c\u7ebf\u548c\u6807\u7b7e<\/p>\n<\/p>\n<ol>\n<li>\u6dfb\u52a0\u7f51\u683c\u7ebf<\/li>\n<\/ol>\n<p><p>\u7f51\u683c\u7ebf\u53ef\u4ee5\u5e2e\u52a9\u8bfb\u8005\u66f4\u5bb9\u6613\u5730\u7406\u89e3\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.grid(True)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u6dfb\u52a0\u8f74\u6807\u7b7e<\/li>\n<\/ol>\n<p><p>\u8f74\u6807\u7b7e\u53ef\u4ee5\u5e2e\u52a9\u89e3\u91ca\u6570\u636e\u7684\u542b\u4e49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.xlabel(&#39;X\u8f74\u6807\u7b7e&#39;)<\/p>\n<p>plt.ylabel(&#39;Y\u8f74\u6807\u7b7e&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001\u8c03\u6574\u56fe\u4f8b\u4f4d\u7f6e<\/p>\n<\/p>\n<p><p>\u56fe\u4f8b\u7684\u4f4d\u7f6e\u4e5f\u4f1a\u5f71\u54cd\u56fe\u8868\u7684\u7f8e\u89c2\u5ea6\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5c06\u56fe\u4f8b\u653e\u5728\u5408\u9002\u7684\u4f4d\u7f6e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.legend(loc=&#39;upper left&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001\u4f18\u5316\u6570\u636e\u70b9\u6837\u5f0f<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528\u4e0d\u540c\u7684\u6807\u8bb0\u6837\u5f0f<\/li>\n<\/ol>\n<p><p>\u4e0d\u540c\u7684\u6807\u8bb0\u6837\u5f0f\u53ef\u4ee5\u5e2e\u52a9\u533a\u5206\u4e0d\u540c\u7684\u6570\u636e\u7cfb\u5217\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.plot(x, y, marker=&#39;o&#39;)<\/p>\n<p>plt.plot(x2, y2, marker=&#39;s&#39;)<\/p>\n<p>plt.plot(x3, y3, marker=&#39;^&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u8c03\u6574\u6807\u8bb0\u5927\u5c0f\u548c\u989c\u8272<\/li>\n<\/ol>\n<p><pre><code class=\"language-python\">plt.plot(x, y, marker=&#39;o&#39;, markersize=8, markerfacecolor=&#39;red&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e94\u3001\u6dfb\u52a0\u6807\u9898\u548c\u6ce8\u91ca<\/p>\n<\/p>\n<ol>\n<li>\u6dfb\u52a0\u6807\u9898<\/li>\n<\/ol>\n<p><p>\u6807\u9898\u53ef\u4ee5\u8ba9\u8bfb\u8005\u5feb\u901f\u4e86\u89e3\u56fe\u8868\u7684\u5185\u5bb9\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.title(&#39;\u6298\u7ebf\u56fe\u793a\u4f8b&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u6dfb\u52a0\u6ce8\u91ca<\/li>\n<\/ol>\n<p><p>\u6ce8\u91ca\u53ef\u4ee5\u5e2e\u52a9\u89e3\u91ca\u7279\u5b9a\u7684\u6570\u636e\u70b9\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.annotate(&#39;\u91cd\u8981\u6570\u636e\u70b9&#39;, xy=(x, y), xytext=(x+1, y+1),<\/p>\n<p>             arrowprops=dict(facecolor=&#39;black&#39;, shrink=0.05))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u516d\u3001\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u6837\u5f0f<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528Matplotlib\u7684\u6837\u5f0f\u8868<\/li>\n<\/ol>\n<p><p>Matplotlib\u63d0\u4f9b\u4e86\u591a\u79cd\u6837\u5f0f\u8868\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u9009\u62e9\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.style.use(&#39;ggplot&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528Seaborn<\/li>\n<\/ol>\n<p><p>Seaborn\u662f\u4e00\u4e2a\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u751f\u6210\u66f4\u7f8e\u89c2\u7684\u56fe\u8868\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import seaborn as sns<\/p>\n<p>sns.set(style=&quot;darkgrid&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e03\u3001\u4f7f\u7528\u9002\u5f53\u7684\u56fe\u8868\u6bd4\u4f8b<\/p>\n<\/p>\n<ol>\n<li>\u8bbe\u7f6e\u56fe\u8868\u5c3a\u5bf8<\/li>\n<\/ol>\n<p><p>\u5408\u9002\u7684\u56fe\u8868\u5c3a\u5bf8\u53ef\u4ee5\u63d0\u9ad8\u56fe\u8868\u7684\u7f8e\u89c2\u5ea6\u548c\u53ef\u8bfb\u6027\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.figure(figsize=(10, 6))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u8c03\u6574\u8f74\u6bd4\u4f8b<\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u8c03\u6574\u8f74\u7684\u6bd4\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.axis(&#39;equal&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u516b\u3001\u8c03\u6574\u8f74\u6807\u7b7e\u683c\u5f0f<\/p>\n<\/p>\n<ol>\n<li>\u65cb\u8f6c\u8f74\u6807\u7b7e<\/li>\n<\/ol>\n<p><p>\u5982\u679c\u8f74\u6807\u7b7e\u592a\u957f\uff0c\u53ef\u4ee5\u901a\u8fc7\u65cb\u8f6c\u6807\u7b7e\u6765\u63d0\u9ad8\u53ef\u8bfb\u6027\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.xticks(rotation=45)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528\u79d1\u5b66\u8ba1\u6570\u6cd5<\/li>\n<\/ol>\n<p><p>\u5982\u679c\u6570\u636e\u8303\u56f4\u5f88\u5927\uff0c\u53ef\u4ee5\u4f7f\u7528\u79d1\u5b66\u8ba1\u6570\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.ticklabel_format(style=&#39;sci&#39;, axis=&#39;y&#39;, scilimits=(0,0))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8ba9Python\u7ed8\u5236\u7684\u6298\u7ebf\u56fe\u66f4\u52a0\u7f8e\u89c2\u3002\u9009\u62e9\u5408\u9002\u7684\u914d\u8272\u65b9\u6848\u3001\u4f7f\u7528\u7f51\u683c\u7ebf\u548c\u6807\u7b7e\u3001\u8c03\u6574\u56fe\u4f8b\u4f4d\u7f6e\u3001\u4f18\u5316\u6570\u636e\u70b9\u6837\u5f0f\u3001\u6dfb\u52a0\u6807\u9898\u548c\u6ce8\u91ca\u3001\u9009\u62e9\u5408\u9002\u7684\u56fe\u8868\u6837\u5f0f\u3001\u4f7f\u7528\u9002\u5f53\u7684\u56fe\u8868\u6bd4\u4f8b\u3001\u8c03\u6574\u8f74\u6807\u7b7e\u683c\u5f0f\u7b49\u90fd\u662f\u8ba9\u6298\u7ebf\u56fe\u66f4\u52a0\u7f8e\u89c2\u7684\u6709\u6548\u9014\u5f84\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u4f60\u7ed8\u5236\u51fa\u66f4\u52a0\u7f8e\u89c2\u548c\u4e13\u4e1a\u7684\u6298\u7ebf\u56fe\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u989c\u8272\u548c\u98ce\u683c\u6765\u7f8e\u5316\u6211\u7684Python\u6298\u7ebf\u56fe\uff1f<\/strong><br \/>\u5728\u7f8e\u5316\u6298\u7ebf\u56fe\u65f6\uff0c\u9009\u62e9\u989c\u8272\u548c\u98ce\u683c\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u53ef\u4ee5\u4f7f\u7528\u989c\u8272\u8c03\u8272\u677f\u5de5\u5177\uff0c\u4f8b\u5982Matplotlib\u4e2d\u7684<code>seaborn<\/code>\u5e93\uff0c\u6765\u9009\u62e9\u548c\u5e94\u7528\u548c\u8c10\u7684\u8272\u5f69\u7ec4\u5408\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u4e0d\u540c\u7684\u7ebf\u578b\uff08\u5982\u865a\u7ebf\u3001\u70b9\u5212\u7ebf\uff09\u548c\u6807\u8bb0\uff08\u5982\u5706\u5708\u3001\u65b9\u5f62\uff09\u53ef\u4ee5\u5e2e\u52a9\u533a\u5206\u4e0d\u540c\u7684\u6570\u636e\u7cfb\u5217\uff0c\u589e\u5f3a\u56fe\u8868\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n<p><strong>\u5982\u4f55\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e\u4ee5\u63d0\u9ad8\u6298\u7ebf\u56fe\u7684\u53ef\u7406\u89e3\u6027\uff1f<\/strong><br \/>\u4e3a\u6298\u7ebf\u56fe\u6dfb\u52a0\u6e05\u6670\u7684\u6807\u9898\u548c\u5750\u6807\u8f74\u6807\u7b7e\u662f\u63d0\u5347\u53ef\u8bfb\u6027\u7684\u5173\u952e\u3002\u4f7f\u7528<code>plt.title()<\/code>\u3001<code>plt.xlabel()<\/code>\u548c<code>plt.ylabel()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bbe\u7f6e\u8fd9\u4e9b\u5143\u7d20\u3002\u786e\u4fdd\u6807\u9898\u548c\u6807\u7b7e\u7b80\u6d01\u660e\u4e86\uff0c\u80fd\u591f\u51c6\u786e\u4f20\u8fbe\u6570\u636e\u7684\u542b\u4e49\uff0c\u8fdb\u800c\u5e2e\u52a9\u89c2\u4f17\u5feb\u901f\u7406\u89e3\u56fe\u8868\u6240\u5c55\u793a\u7684\u4fe1\u606f\u3002<\/p>\n<p><strong>\u5982\u4f55\u4f7f\u7528\u6ce8\u91ca\u548c\u56fe\u4f8b\u6765\u589e\u5f3a\u6298\u7ebf\u56fe\u7684\u4fe1\u606f\u4f20\u9012\uff1f<\/strong><br \/>\u6ce8\u91ca\u548c\u56fe\u4f8b\u80fd\u591f\u663e\u8457\u63d0\u5347\u6298\u7ebf\u56fe\u7684\u4fe1\u606f\u4f20\u9012\u6548\u679c\u3002\u53ef\u4ee5\u4f7f\u7528<code>plt.annotate()<\/code>\u51fd\u6570\u5728\u56fe\u8868\u4e2d\u6dfb\u52a0\u5173\u952e\u6570\u636e\u70b9\u7684\u8bf4\u660e\uff0c\u5e2e\u52a9\u89c2\u4f17\u6ce8\u610f\u5230\u91cd\u8981\u7684\u8d8b\u52bf\u6216\u53d8\u5316\u3002\u540c\u65f6\uff0c\u5229\u7528<code>plt.legend()<\/code>\u6765\u663e\u793a\u6bcf\u6761\u7ebf\u7684\u540d\u79f0\uff0c\u786e\u4fdd\u89c2\u4f17\u80fd\u591f\u51c6\u786e\u8bc6\u522b\u4e0d\u540c\u6570\u636e\u7cfb\u5217\u7684\u542b\u4e49\uff0c\u4ece\u800c\u66f4\u597d\u5730\u7406\u89e3\u56fe\u8868\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8ba9\u6298\u7ebf\u56fe\u66f4\u7f8e\u89c2\u7684\u65b9\u6cd5\u6709\uff1a\u9009\u62e9\u5408\u9002\u7684\u914d\u8272\u65b9\u6848\u3001\u4f7f\u7528\u7f51\u683c\u7ebf\u548c\u6807\u7b7e\u3001\u8c03\u6574\u56fe\u4f8b\u4f4d\u7f6e\u3001\u4f18\u5316\u6570\u636e\u70b9\u6837\u5f0f\u3001\u6dfb\u52a0\u6807 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