{"id":974065,"date":"2024-12-27T06:02:09","date_gmt":"2024-12-26T22:02:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/974065.html"},"modified":"2024-12-27T06:02:10","modified_gmt":"2024-12-26T22:02:10","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e6%89%93%e5%87%ba%e5%9d%90%e6%a0%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/974065.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u6253\u51fa\u5750\u6807"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24195941\/3f4c7a73-d241-4263-9701-6ec0419b01ed.webp\" alt=\"python\u4e2d\u5982\u4f55\u6253\u51fa\u5750\u6807\" \/><\/p>\n<p><p> \u5728Python\u4e2d\uff0c\u7ed8\u5236\u5750\u6807\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u901a\u5e38\u4f7f\u7528<strong>Matplotlib\u3001Seaborn\u3001Plotly<\/strong>\u7b49\u5e93\u6765\u5b9e\u73b0\u3002<strong>\u4f7f\u7528Matplotlib\u662f\u6700\u5e38\u89c1\u7684\u65b9\u5f0f<\/strong>\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528Matplotlib\u5728Python\u4e2d\u7ed8\u5236\u5750\u6807\u7684\u57fa\u672c\u6b65\u9aa4\uff0c\u5e76\u5bf9\u5176\u4e2d\u7684\u4e00\u4e2a\u5e93\u8fdb\u884c\u8be6\u7ec6\u7684\u63cf\u8ff0\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528Matplotlib\u7ed8\u5236\u5750\u6807\u7684\u57fa\u672c\u6b65\u9aa4<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u5bfc\u5165Matplotlib\u5e93<\/strong>\u3001<strong>\u521b\u5efa\u6570\u636e\u3001\u8c03\u7528\u7ed8\u56fe\u51fd\u6570\u3001\u663e\u793a\u7ed8\u56fe\u7ed3\u679c<\/strong>\u3002Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u63d0\u4f9b\u4e86\u7b80\u5355\u800c\u5f3a\u5927\u7684\u63a5\u53e3\u6765\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n<p><p>\u8be6\u7ec6\u63cf\u8ff0\uff1a<strong>\u5bfc\u5165Matplotlib\u5e93\u662f\u7ed8\u5236\u5750\u6807\u7684\u7b2c\u4e00\u6b65<\/strong>\u3002\u8981\u4f7f\u7528Matplotlib\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b83\u5df2\u5b89\u88c5\u5728\u60a8\u7684Python\u73af\u5883\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528<code>pip install matplotlib<\/code>\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u901a\u8fc7<code>import matplotlib.pyplot as plt<\/code>\u5bfc\u5165\u5e93\u3002\u63a5\u4e0b\u6765\uff0c\u521b\u5efa\u8981\u7ed8\u5236\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u662f\u5217\u8868\u3001\u6570\u7ec4\u7b49\u5f62\u5f0f\u7684\u6570\u636e\u3002\u8c03\u7528Matplotlib\u7684\u7ed8\u56fe\u51fd\u6570\uff0c\u4f8b\u5982<code>plt.plot()<\/code>\u3001<code>plt.scatter()<\/code>\u7b49\uff0c\u6765\u751f\u6210\u56fe\u5f62\u3002\u6700\u540e\uff0c\u901a\u8fc7<code>plt.show()<\/code>\u6765\u663e\u793a\u7ed8\u56fe\u7ed3\u679c\u3002\u6574\u4e2a\u8fc7\u7a0b\u7b80\u5355\u660e\u4e86\uff0c\u975e\u5e38\u9002\u5408\u521d\u5b66\u8005\u548c\u9700\u8981\u5feb\u901f\u7ed8\u56fe\u7684\u7528\u6237\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u4e8c\u3001\u7ed8\u5236\u7b80\u5355\u7684\u4e8c\u7ef4\u6298\u7ebf\u56fe<\/p>\n<\/p>\n<p><p>\u5728Matplotlib\u4e2d\uff0c\u7ed8\u5236\u7b80\u5355\u7684\u4e8c\u7ef4\u6298\u7ebf\u56fe\u662f\u6700\u57fa\u7840\u7684\u64cd\u4f5c\u4e4b\u4e00\u3002\u901a\u8fc7\u4f7f\u7528<code>plt.plot()<\/code>\u51fd\u6570\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u7ed8\u5236\u4e00\u6761\u6298\u7ebf\u56fe\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y = [0, 1, 4, 9, 16, 25]<\/p>\n<h2><strong>\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>plt.title(&#39;Simple Line Plot&#39;)<\/p>\n<p>plt.xlabel(&#39;X-axis&#39;)<\/p>\n<p>plt.ylabel(&#39;Y-axis&#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\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86x\u548cy\u4e24\u4e2a\u5217\u8868\uff0c\u5206\u522b\u8868\u793a\u5750\u6807\u7684\u6a2a\u8f74\u548c\u7eb5\u8f74\u3002\u7136\u540e\u4f7f\u7528<code>plt.plot()<\/code>\u51fd\u6570\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u5e76\u901a\u8fc7<code>plt.title()<\/code>\u3001<code>plt.xlabel()<\/code>\u3001<code>plt.ylabel()<\/code>\u6dfb\u52a0\u56fe\u5f62\u7684\u6807\u9898\u548c\u5750\u6807\u8f74\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u7ed8\u5236\u6563\u70b9\u56fe<\/p>\n<\/p>\n<p><p>\u6563\u70b9\u56fe\u5bf9\u4e8e\u5c55\u793a\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u975e\u5e38\u6709\u7528\u3002\u4f7f\u7528Matplotlib\u7684<code>plt.scatter()<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u6563\u70b9\u56fe\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [2, 3, 5, 7, 11]<\/p>\n<h2><strong>\u7ed8\u5236\u6563\u70b9\u56fe<\/strong><\/h2>\n<p>plt.scatter(x, y)<\/p>\n<h2><strong>\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>plt.title(&#39;Scatter Plot&#39;)<\/p>\n<p>plt.xlabel(&#39;X-axis&#39;)<\/p>\n<p>plt.ylabel(&#39;Y-axis&#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\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86x\u548cy\u4e24\u4e2a\u5217\u8868\u8868\u793a\u5750\u6807\u70b9\uff0c\u5e76\u4f7f\u7528<code>plt.scatter()<\/code>\u51fd\u6570\u7ed8\u5236\u6563\u70b9\u56fe\u3002\u540c\u6837\uff0c\u6211\u4eec\u4f7f\u7528<code>plt.title()<\/code>\u3001<code>plt.xlabel()<\/code>\u3001<code>plt.ylabel()<\/code>\u6dfb\u52a0\u4e86\u6807\u9898\u548c\u5750\u6807\u8f74\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u7ed8\u5236\u67f1\u72b6\u56fe<\/p>\n<\/p>\n<p><p>\u67f1\u72b6\u56fe\u662f\u7528\u4e8e\u663e\u793a\u5206\u7c7b\u6570\u636e\u7684\u5e38\u7528\u56fe\u5f62\u3002\u901a\u8fc7Matplotlib\u7684<code>plt.bar()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u521b\u5efa\u67f1\u72b6\u56fe\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>categories = [&#39;A&#39;, &#39;B&#39;, &#39;C&#39;, &#39;D&#39;]<\/p>\n<p>values = [3, 7, 2, 5]<\/p>\n<h2><strong>\u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n<p>plt.bar(categories, values)<\/p>\n<h2><strong>\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>plt.title(&#39;Bar Chart&#39;)<\/p>\n<p>plt.xlabel(&#39;Categories&#39;)<\/p>\n<p>plt.ylabel(&#39;Values&#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\u4f8b\u5b50\u4e2d\uff0c<code>categories<\/code>\u5217\u8868\u4ee3\u8868\u4e0d\u540c\u7684\u7c7b\u522b\uff0c<code>values<\/code>\u5217\u8868\u4ee3\u8868\u6bcf\u4e2a\u7c7b\u522b\u7684\u503c\u3002\u4f7f\u7528<code>plt.bar()<\/code>\u51fd\u6570\u7ed8\u5236\u67f1\u72b6\u56fe\uff0c\u5e76\u4f7f\u7528<code>plt.title()<\/code>\u3001<code>plt.xlabel()<\/code>\u3001<code>plt.ylabel()<\/code>\u6dfb\u52a0\u6807\u9898\u548c\u5750\u6807\u8f74\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u7ed8\u5236\u591a\u6761\u7ebf\u6761<\/p>\n<\/p>\n<p><p>\u5728\u540c\u4e00\u4e2a\u56fe\u8868\u4e2d\u7ed8\u5236\u591a\u6761\u7ebf\u6761\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u6bd4\u8f83\u4e0d\u540c\u7684\u6570\u636e\u96c6\u3002Matplotlib\u5141\u8bb8\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u4e0a\u7ed8\u5236\u591a\u6761\u7ebf\u6761\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y1 = [0, 1, 4, 9, 16, 25]<\/p>\n<p>y2 = [0, 1, 8, 27, 64, 125]<\/p>\n<h2><strong>\u7ed8\u5236\u591a\u6761\u7ebf\u6761<\/strong><\/h2>\n<p>plt.plot(x, y1, label=&#39;y = x^2&#39;)<\/p>\n<p>plt.plot(x, y2, label=&#39;y = x^3&#39;)<\/p>\n<h2><strong>\u6dfb\u52a0\u6807\u9898\u3001\u6807\u7b7e\u548c\u56fe\u4f8b<\/strong><\/h2>\n<p>plt.title(&#39;Multiple Lines&#39;)<\/p>\n<p>plt.xlabel(&#39;X-axis&#39;)<\/p>\n<p>plt.ylabel(&#39;Y-axis&#39;)<\/p>\n<p>plt.legend()<\/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\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86x\u3001y1\u548cy2\u4e09\u4e2a\u5217\u8868\uff0c\u5e76\u4f7f\u7528<code>plt.plot()<\/code>\u51fd\u6570\u5206\u522b\u7ed8\u5236\u4e24\u6761\u7ebf\u6761\u3002\u901a\u8fc7<code>label<\/code>\u53c2\u6570\u4e3a\u6bcf\u6761\u7ebf\u6761\u6dfb\u52a0\u6807\u7b7e\uff0c\u5e76\u4f7f\u7528<code>plt.legend()<\/code>\u663e\u793a\u56fe\u4f8b\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u4f7f\u7528Seaborn\u8fdb\u884c\u9ad8\u7ea7\u7ed8\u56fe<\/p>\n<\/p>\n<p><p>Seaborn\u662f\u4e00\u4e2a\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u7528\u4e8e\u521b\u5efa\u7edf\u8ba1\u56fe\u5f62\u3002\u5b83\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u548c\u66f4\u7f8e\u89c2\u7684\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Seaborn\u7ed8\u5236\u5206\u5e03\u56fe\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import seaborn as sns<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>data = sns.load_dataset(&#39;tips&#39;)<\/p>\n<h2><strong>\u7ed8\u5236\u5206\u5e03\u56fe<\/strong><\/h2>\n<p>sns.histplot(data[&#39;total_bill&#39;], kde=True)<\/p>\n<h2><strong>\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>plt.title(&#39;Distribution Plot&#39;)<\/p>\n<p>plt.xlabel(&#39;Total Bill&#39;)<\/p>\n<p>plt.ylabel(&#39;Frequency&#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\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Seaborn\u52a0\u8f7d\u4e86\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u96c6\uff0c\u5e76\u4f7f\u7528<code>histplot()<\/code>\u51fd\u6570\u7ed8\u5236\u5206\u5e03\u56fe\u3002\u901a\u8fc7<code>kde=True<\/code>\u53c2\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u76f4\u65b9\u56fe\u4e0a\u6dfb\u52a0\u6838\u5bc6\u5ea6\u4f30\u8ba1\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u4f7f\u7528Plotly\u8fdb\u884c\u4ea4\u4e92\u5f0f\u7ed8\u56fe<\/p>\n<\/p>\n<p><p>Plotly\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Plotly\u7ed8\u5236\u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import plotly.express as px<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>df = px.data.iris()<\/p>\n<h2><strong>\u7ed8\u5236\u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe<\/strong><\/h2>\n<p>fig = px.scatter(df, x=&#39;sepal_width&#39;, y=&#39;sepal_length&#39;, color=&#39;species&#39;,<\/p>\n<p>                 title=&#39;Interactive Scatter Plot&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>fig.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Plotly\u7684<code>px.scatter()<\/code>\u51fd\u6570\u7ed8\u5236\u4e86\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe\u3002\u901a\u8fc7<code>color<\/code>\u53c2\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u4e0d\u540c\u7c7b\u522b\u4e3a\u6570\u636e\u70b9\u7740\u8272\u3002\u4f7f\u7528Plotly\u7ed8\u5236\u7684\u56fe\u5f62\u53ef\u4ee5\u5728Web\u6d4f\u89c8\u5668\u4e2d\u67e5\u770b\u548c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u51e0\u4e2a\u5c0f\u6807\u9898\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5728Python\u4e2d\u5982\u4f55\u4f7f\u7528\u4e0d\u540c\u7684\u5e93\u7ed8\u5236\u5750\u6807\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\uff0c\u8fd8\u662f\u9ad8\u7ea7\u7684\u4ea4\u4e92\u5f0f\u56fe\u5f62\uff0cPython\u7684\u7ed8\u56fe\u5e93\u90fd\u80fd\u6ee1\u8db3\u60a8\u7684\u9700\u6c42\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u7075\u6d3b\u7684\u63a5\u53e3\uff0c\u4f7f\u5f97\u6570\u636e\u53ef\u89c6\u5316\u53d8\u5f97\u7b80\u5355\u800c\u9ad8\u6548\u3002\u9009\u62e9\u9002\u5408\u60a8\u7684\u5e93\uff0c\u5e76\u6839\u636e\u9700\u8981\u521b\u5efa\u7f8e\u89c2\u548c\u4e13\u4e1a\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236\u5750\u6807\u56fe\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u7ed8\u5236\u5750\u6807\u56fe\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fMatplotlib\u3002\u901a\u8fc7\u5b89\u88c5\u5e76\u5bfc\u5165Matplotlib\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002\u53ea\u9700\u8c03\u7528<code>plt.plot()<\/code>\u51fd\u6570\u5e76\u4f20\u5165x\u548cy\u5750\u6807\u5217\u8868\uff0c\u5373\u53ef\u751f\u6210\u57fa\u7840\u7684\u5750\u6807\u56fe\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u6dfb\u52a0\u6807\u9898\u3001\u6807\u7b7e\u548c\u56fe\u4f8b\u6765\u589e\u5f3a\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n<p><strong>Python\u4e2d\u5982\u4f55\u5b9e\u73b0\u5750\u6807\u7684\u52a8\u6001\u66f4\u65b0\uff1f<\/strong><br \/>\u4e3a\u4e86\u5b9e\u73b0\u5750\u6807\u7684\u52a8\u6001\u66f4\u65b0\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684\u52a8\u753b\u529f\u80fd\u3002\u901a\u8fc7<code>FuncAnimation<\/code>\u7c7b\uff0c\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u52a8\u6001\u66f4\u65b0\u7684\u56fe\u5f62\uff0c\u5b9e\u65f6\u663e\u793a\u6570\u636e\u7684\u53d8\u5316\u3002\u7528\u6237\u9700\u8981\u5b9a\u4e49\u4e00\u4e2a\u66f4\u65b0\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u4f1a\u5728\u6bcf\u4e2a\u65f6\u95f4\u95f4\u9694\u5185\u88ab\u8c03\u7528\uff0c\u5e76\u66f4\u65b0\u5750\u6807\u6570\u636e\u3002\u8fd9\u6837\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u7a97\u53e3\u4e2d\u89c2\u5bdf\u5230\u6570\u636e\u968f\u65f6\u95f4\u7684\u53d8\u5316\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u4fdd\u5b58\u5750\u6807\u56fe\u50cf\uff1f<\/strong><br \/>\u4fdd\u5b58\u5750\u6807\u56fe\u50cf\u662fMatplotlib\u63d0\u4f9b\u7684\u4e00\u4e2a\u4fbf\u6377\u529f\u80fd\u3002\u5728\u7ed8\u5236\u5b8c\u5750\u6807\u56fe\u540e\uff0c\u7528\u6237\u53ef\u4ee5\u4f7f\u7528<code>plt.savefig(&#39;filename.png&#39;)<\/code>\u547d\u4ee4\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aPNG\u3001JPG\u7b49\u591a\u79cd\u683c\u5f0f\u3002\u901a\u8fc7\u8c03\u6574\u53c2\u6570\uff0c\u53ef\u4ee5\u63a7\u5236\u56fe\u50cf\u7684\u5206\u8fa8\u7387\u548c\u5c3a\u5bf8\uff0c\u4ee5\u6ee1\u8db3\u4e0d\u540c\u573a\u5408\u7684\u9700\u6c42\u3002\u786e\u4fdd\u5728\u4fdd\u5b58\u4e4b\u524d\u8c03\u7528<code>plt.show()<\/code>\uff0c\u4ee5\u786e\u4fdd\u56fe\u50cf\u7684\u5b8c\u6574\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u7ed8\u5236\u5750\u6807\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u901a\u5e38\u4f7f\u7528Matplotlib\u3001Seaborn\u3001Plotly\u7b49\u5e93\u6765\u5b9e\u73b0\u3002 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