{"id":1093738,"date":"2025-01-08T14:34:07","date_gmt":"2025-01-08T06:34:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1093738.html"},"modified":"2025-01-08T14:34:09","modified_gmt":"2025-01-08T06:34:09","slug":"python%e5%a6%82%e4%bd%95%e6%a0%b9%e6%8d%ae%e6%95%b0%e6%8d%ae%e7%bb%98%e5%88%b6%e6%8a%98%e7%ba%bf%e5%9b%be-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1093738.html","title":{"rendered":"python\u5982\u4f55\u6839\u636e\u6570\u636e\u7ed8\u5236\u6298\u7ebf\u56fe"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24210204\/85b63633-b29c-411e-92eb-aef8193a6ba7.webp\" alt=\"python\u5982\u4f55\u6839\u636e\u6570\u636e\u7ed8\u5236\u6298\u7ebf\u56fe\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u7ed8\u5236\u6298\u7ebf\u56fe\u9700\u8981\u4ee5\u4e0b\u6b65\u9aa4\uff1a\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u3001\u51c6\u5907\u6570\u636e\u3001\u521b\u5efa\u6298\u7ebf\u56fe\u3001\u6dfb\u52a0\u56fe\u4f8b\u4e0e\u6807\u7b7e\u3002<\/strong> \u5176\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u4e00\u6b65\u662f\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff0c\u4f8b\u5982Matplotlib\uff0c\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Python\u6839\u636e\u6570\u636e\u7ed8\u5236\u6298\u7ebf\u56fe\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0cMatplotlib\u662f\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u5f62\u7ed8\u5236\u529f\u80fd\u3002\u6211\u4eec\u9996\u5148\u9700\u8981\u5bfc\u5165Matplotlib\u5e93\u4e2d\u7684pyplot\u6a21\u5757\u3002\u4ee5\u4e0b\u662f\u5bfc\u5165\u5e93\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np  # \u7528\u4e8e\u751f\u6210\u793a\u4f8b\u6570\u636e<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u51c6\u5907\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u9996\u5148\u9700\u8981\u51c6\u5907\u6570\u636e\u3002\u6570\u636e\u901a\u5e38\u4ee5\u5217\u8868\u6216\u6570\u7ec4\u7684\u5f62\u5f0f\u5b58\u50a8\u3002\u4ee5\u4e0b\u662f\u751f\u6210\u793a\u4f8b\u6570\u636e\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u751f\u6210\u793a\u4f8b\u6570\u636e<\/p>\n<p>x = np.linspace(0, 10, 100)  # \u751f\u62100\u523010\u4e4b\u95f4\u7684100\u4e2a\u7b49\u95f4\u8ddd\u6570\u636e<\/p>\n<p>y = np.sin(x)  # \u8ba1\u7b97x\u5bf9\u5e94\u7684sin\u503c<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u521b\u5efa\u6298\u7ebf\u56fe<\/h3>\n<\/p>\n<p><p>\u6709\u4e86\u6570\u636e\u4e4b\u540e\uff0c\u5c31\u53ef\u4ee5\u521b\u5efa\u6298\u7ebf\u56fe\u3002\u4f7f\u7528Matplotlib\u4e2d\u7684<code>plot<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u6298\u7ebf\u56fe\u3002\u4ee5\u4e0b\u662f\u521b\u5efa\u6298\u7ebf\u56fe\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.plot(x, y, label=&#39;sin(x)&#39;)  # \u521b\u5efa\u6298\u7ebf\u56fe\u5e76\u6dfb\u52a0\u6807\u7b7e<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u6dfb\u52a0\u56fe\u4f8b\u4e0e\u6807\u7b7e<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u4f7f\u56fe\u5f62\u66f4\u52a0\u76f4\u89c2\u548c\u6709\u610f\u4e49\uff0c\u901a\u5e38\u9700\u8981\u6dfb\u52a0\u56fe\u4f8b\u3001\u6807\u9898\u548c\u8f74\u6807\u7b7e\u3002\u4ee5\u4e0b\u662f\u6dfb\u52a0\u8fd9\u4e9b\u5185\u5bb9\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.xlabel(&#39;X Axis&#39;)  # \u8bbe\u7f6eX\u8f74\u6807\u7b7e<\/p>\n<p>plt.ylabel(&#39;Y Axis&#39;)  # \u8bbe\u7f6eY\u8f74\u6807\u7b7e<\/p>\n<p>plt.title(&#39;Example of Line Plot&#39;)  # \u8bbe\u7f6e\u56fe\u5f62\u6807\u9898<\/p>\n<p>plt.legend()  # \u663e\u793a\u56fe\u4f8b<\/p>\n<p>plt.grid(True)  # \u663e\u793a\u7f51\u683c<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u663e\u793a\u56fe\u5f62<\/h3>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u4f7f\u7528<code>show<\/code>\u51fd\u6570\u663e\u793a\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u663e\u793a\u56fe\u5f62\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.show()  # \u663e\u793a\u56fe\u5f62<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u662f\u4f7f\u7528Python\u6839\u636e\u6570\u636e\u7ed8\u5236\u6298\u7ebf\u56fe\u7684\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u751f\u6210\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(0, 10, 100)<\/p>\n<p>y = np.sin(x)<\/p>\n<h2><strong>\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n<p>plt.plot(x, y, label=&#39;sin(x)&#39;)<\/p>\n<h2><strong>\u6dfb\u52a0\u56fe\u4f8b\u4e0e\u6807\u7b7e<\/strong><\/h2>\n<p>plt.xlabel(&#39;X Axis&#39;)<\/p>\n<p>plt.ylabel(&#39;Y Axis&#39;)<\/p>\n<p>plt.title(&#39;Example of Line Plot&#39;)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.grid(True)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u66f4\u591a\u9ad8\u7ea7\u529f\u80fd<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u57fa\u672c\u7684\u6298\u7ebf\u56fe\uff0cMatplotlib\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u529f\u80fd\uff0c\u4f8b\u5982\u591a\u4e2a\u6298\u7ebf\u56fe\u3001\u8bbe\u7f6e\u7ebf\u6761\u6837\u5f0f\u3001\u6dfb\u52a0\u6ce8\u91ca\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u7ed8\u5236\u591a\u4e2a\u6298\u7ebf\u56fe<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u4e2d\u7ed8\u5236\u591a\u4e2a\u6298\u7ebf\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">y2 = np.cos(x)<\/p>\n<p>plt.plot(x, y, label=&#39;sin(x)&#39;)<\/p>\n<p>plt.plot(x, y2, label=&#39;cos(x)&#39;)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u8bbe\u7f6e\u7ebf\u6761\u6837\u5f0f<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u8bbe\u7f6e\u7ebf\u6761\u7684\u989c\u8272\u3001\u6837\u5f0f\u548c\u5bbd\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.plot(x, y, color=&#39;red&#39;, linestyle=&#39;--&#39;, linewidth=2, label=&#39;sin(x)&#39;)<\/p>\n<p>plt.plot(x, y2, color=&#39;blue&#39;, linestyle=&#39;-.&#39;, linewidth=2, label=&#39;cos(x)&#39;)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u6dfb\u52a0\u6ce8\u91ca<\/h4>\n<\/p>\n<p><p>\u53ef\u4ee5\u5728\u56fe\u5f62\u4e2d\u6dfb\u52a0\u6ce8\u91ca\uff0c\u4ee5\u7a81\u51fa\u663e\u793a\u67d0\u4e9b\u7279\u5f81\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.plot(x, y, label=&#39;sin(x)&#39;)<\/p>\n<p>plt.annotate(&#39;Max Value&#39;, xy=(np.pi\/2, 1), xytext=(np.pi\/2, 1.5),<\/p>\n<p>             arrowprops=dict(facecolor=&#39;black&#39;, shrink=0.05))<\/p>\n<p>plt.legend()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u4fdd\u5b58\u56fe\u5f62<\/h3>\n<\/p>\n<p><p>Matplotlib\u8fd8\u5141\u8bb8\u5c06\u56fe\u5f62\u4fdd\u5b58\u4e3a\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4fdd\u5b58\u56fe\u5f62\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.savefig(&#39;line_plot.png&#39;)  # \u4fdd\u5b58\u56fe\u5f62\u4e3aPNG\u683c\u5f0f<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528Python\u548cMatplotlib\u5e93\u7ed8\u5236\u6298\u7ebf\u56fe\u662f\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u548c\u9ad8\u6548\u7684\u8fc7\u7a0b\u3002\u901a\u8fc7\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u3001\u51c6\u5907\u6570\u636e\u3001\u521b\u5efa\u6298\u7ebf\u56fe\u3001\u6dfb\u52a0\u56fe\u4f8b\u4e0e\u6807\u7b7e\u4ee5\u53ca\u663e\u793a\u56fe\u5f62\uff0c\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u51fa\u5404\u79cd\u7c7b\u578b\u7684\u6298\u7ebf\u56fe\u3002\u6b64\u5916\uff0cMatplotlib\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u529f\u80fd\uff0c\u4f8b\u5982\u7ed8\u5236\u591a\u4e2a\u6298\u7ebf\u56fe\u3001\u8bbe\u7f6e\u7ebf\u6761\u6837\u5f0f\u3001\u6dfb\u52a0\u6ce8\u91ca\u548c\u4fdd\u5b58\u56fe\u5f62\uff0c\u4f7f\u5f97\u7ed8\u56fe\u66f4\u52a0\u7075\u6d3b\u548c\u4e30\u5bcc\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u7075\u6d3b\u4f7f\u7528\u8fd9\u4e9b\u529f\u80fd\uff0c\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u6570\u636e\u53ef\u89c6\u5316\u9700\u6c42\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u7ed8\u5236\u6298\u7ebf\u56fe\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u6709Matplotlib\u3001Seaborn\u548cPlotly\u7b49\u3002Matplotlib\u662f\u6700\u57fa\u7840\u7684\u5e93\uff0c\u9002\u5408\u7b80\u5355\u7684\u6298\u7ebf\u56fe\u7ed8\u5236\u3002Seaborn\u5728Matplotlib\u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u4e86\u6269\u5c55\uff0c\u63d0\u4f9b\u4e86\u66f4\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\uff0c\u9002\u5408\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u7684\u5206\u6790\u3002Plotly\u5219\u652f\u6301\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u9002\u5408\u9700\u8981\u52a8\u6001\u5c55\u793a\u7684\u573a\u5408\u3002\u6839\u636e\u9879\u76ee\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u53ef\u4ee5\u63d0\u9ad8\u7ed8\u56fe\u6548\u7387\u3002<\/p>\n<p><strong>\u600e\u6837\u5904\u7406\u7f3a\u5931\u6570\u636e\u4ee5\u786e\u4fdd\u6298\u7ebf\u56fe\u7684\u51c6\u786e\u6027\uff1f<\/strong><br \/>\u5728\u7ed8\u5236\u6298\u7ebf\u56fe\u4e4b\u524d\uff0c\u5904\u7406\u7f3a\u5931\u6570\u636e\u975e\u5e38\u91cd\u8981\u3002\u53ef\u4ee5\u9009\u62e9\u5220\u9664\u542b\u6709\u7f3a\u5931\u503c\u7684\u884c\uff0c\u6216\u7528\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u7b49\u586b\u5145\u7f3a\u5931\u503c\u3002\u4f7f\u7528pandas\u5e93\u4e2d\u7684<code>fillna()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u7f3a\u5931\u6570\u636e\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u63d2\u503c\u6cd5\uff08\u5982\u7ebf\u6027\u63d2\u503c\uff09\u586b\u8865\u7f3a\u5931\u503c\u4e5f\u80fd\u591f\u4fdd\u8bc1\u6570\u636e\u7684\u8fde\u7eed\u6027\uff0c\u4ece\u800c\u4f7f\u6298\u7ebf\u56fe\u66f4\u5177\u4ee3\u8868\u6027\u3002<\/p>\n<p><strong>\u5982\u4f55\u4e3a\u6298\u7ebf\u56fe\u6dfb\u52a0\u6807\u7b7e\u548c\u6807\u9898\u4ee5\u589e\u5f3a\u53ef\u8bfb\u6027\uff1f<\/strong><br \/>\u4e3a\u6298\u7ebf\u56fe\u6dfb\u52a0\u5408\u9002\u7684\u6807\u9898\u548c\u5750\u6807\u8f74\u6807\u7b7e\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u6613\u4e8e\u7406\u89e3\u3002\u4f7f\u7528Matplotlib\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>plt.title()<\/code>\u8bbe\u7f6e\u56fe\u8868\u6807\u9898\uff0c\u4f7f\u7528<code>plt.xlabel()<\/code>\u548c<code>plt.ylabel()<\/code>\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e\u3002\u5efa\u8bae\u6807\u9898\u7b80\u6d01\u660e\u4e86\uff0c\u6807\u7b7e\u5e94\u51c6\u786e\u63cf\u8ff0\u6570\u636e\u5185\u5bb9\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>plt.legend()<\/code>\u4e3a\u4e0d\u540c\u7684\u6570\u636e\u7cfb\u5217\u6dfb\u52a0\u56fe\u4f8b\uff0c\u5e2e\u52a9\u89c2\u4f17\u66f4\u597d\u5730\u89e3\u8bfb\u56fe\u8868\u4fe1\u606f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u7ed8\u5236\u6298\u7ebf\u56fe\u9700\u8981\u4ee5\u4e0b\u6b65\u9aa4\uff1a\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u3001\u51c6\u5907\u6570\u636e\u3001\u521b\u5efa\u6298\u7ebf\u56fe\u3001\u6dfb\u52a0\u56fe\u4f8b\u4e0e\u6807\u7b7e\u3002 \u5176\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u4e00 [&hellip;]","protected":false},"author":3,"featured_media":1093746,"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\/1093738"}],"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=1093738"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1093738\/revisions"}],"predecessor-version":[{"id":1093749,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1093738\/revisions\/1093749"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1093746"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1093738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1093738"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1093738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}