{"id":1135098,"date":"2025-01-08T21:21:38","date_gmt":"2025-01-08T13:21:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1135098.html"},"modified":"2025-01-08T21:21:40","modified_gmt":"2025-01-08T13:21:40","slug":"%e4%ba%8c%e7%bb%b4%e7%9f%a9%e9%98%b5%e5%a6%82%e4%bd%95%e7%94%bb%e5%87%ba3d-python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1135098.html","title":{"rendered":"\u4e8c\u7ef4\u77e9\u9635\u5982\u4f55\u753b\u51fa3d python"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25103845\/9f3c1121-e888-469b-876c-623415082647.webp\" alt=\"\u4e8c\u7ef4\u77e9\u9635\u5982\u4f55\u753b\u51fa3d python\" \/><\/p>\n<p><h2>\u4e8c\u7ef4\u77e9\u9635\u5982\u4f55\u753b\u51fa3D Python<\/h2>\n<\/p>\n<p><p><strong>\u8981\u5728Python\u4e2d\u5c06\u4e8c\u7ef4\u77e9\u9635\u7ed8\u5236\u4e3a3D\u56fe\u5f62\uff0c\u4f60\u9700\u8981\u4f7f\u7528\u9002\u5f53\u7684\u5e93\u3001\u7406\u89e3\u5982\u4f55\u5c06\u4e8c\u7ef4\u6570\u636e\u6620\u5c04\u5230\u4e09\u7ef4\u7a7a\u95f4\u3001\u638c\u63e1\u57fa\u672c\u7684\u7ed8\u56fe\u6280\u672f\u3002<\/strong>\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Python\u53ca\u5176\u76f8\u5173\u5e93\uff0c\u4f8b\u5982Matplotlib\u548cNumPy\uff0c\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528Matplotlib\u7ed8\u52363D\u56fe\u5f62<\/h3>\n<\/p>\n<p><p>Matplotlib\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u5e7f\u6cdb\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u3002\u5b83\u652f\u6301\u4ece\u7b80\u5355\u76842D\u56fe\u5230\u590d\u6742\u76843D\u56fe\u7684\u7ed8\u5236\u3002<\/p>\n<\/p>\n<p><h4>1. \u57fa\u7840\u77e5\u8bc6<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5Matplotlib\u548cNumPy\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 numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\uff0c\u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from mpl_toolkits.mplot3d import Axes3D<\/p>\n<p>import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u521b\u5efa\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5047\u8bbe\u4f60\u6709\u4e00\u4e2a\u4e8c\u7ef4\u77e9\u9635<code>Z<\/code>\uff0c\u4f60\u9700\u8981\u751f\u6210\u76f8\u5e94\u7684<code>X<\/code>\u548c<code>Y<\/code>\u5750\u6807\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">X = np.linspace(-5, 5, 100)<\/p>\n<p>Y = np.linspace(-5, 5, 100)<\/p>\n<p>X, Y = np.meshgrid(X, Y)<\/p>\n<p>Z = np.sin(np.sqrt(X&lt;strong&gt;2 + Y&lt;\/strong&gt;2))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u7ed8\u52363D\u66f2\u9762\u56fe<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528Matplotlib\u7684<code>plot_surface<\/code>\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u7ed8\u52363D\u66f2\u9762\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig = plt.figure()<\/p>\n<p>ax = fig.add_subplot(111, projection=&#39;3d&#39;)<\/p>\n<p>ax.plot_surface(X, Y, Z, cmap=&#39;viridis&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u7406\u89e33D\u7ed8\u56fe\u7684\u6838\u5fc3\u6982\u5ff5<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u638c\u63e13D\u7ed8\u56fe\u6280\u672f\uff0c\u9700\u8981\u4e86\u89e3\u4e00\u4e9b\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n<\/p>\n<p><h4>1. \u7f51\u683c\u5316\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u7f51\u683c\u5316\u6570\u636e\u662f\u5c06\u4e8c\u7ef4\u77e9\u9635\u6620\u5c04\u5230\u4e09\u7ef4\u7a7a\u95f4\u7684\u5173\u952e\u6b65\u9aa4\u3002<code>np.meshgrid<\/code>\u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u751f\u6210<code>X<\/code>\u548c<code>Y<\/code>\u5750\u6807\uff0c\u8fd9\u4e24\u4e2a\u5750\u6807\u4e0e\u4e8c\u7ef4\u77e9\u9635\u7684\u6bcf\u4e2a\u5143\u7d20\u4e00\u4e00\u5bf9\u5e94\u3002<\/p>\n<\/p>\n<p><h4>2. \u8272\u5f69\u6620\u5c04<\/h4>\n<\/p>\n<p><p>\u8272\u5f69\u6620\u5c04\uff08colormap\uff09\u662f\u6570\u636e\u53ef\u89c6\u5316\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u6570\u636e\u3002Matplotlib\u63d0\u4f9b\u4e86\u591a\u79cd\u9884\u5b9a\u4e49\u7684\u8272\u5f69\u6620\u5c04\u65b9\u6848\uff0c\u4f8b\u5982<code>viridis<\/code>\u3001<code>plasma<\/code>\u3001<code>inferno<\/code>\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">ax.plot_surface(X, Y, Z, cmap=&#39;plasma&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u8fdb\u9636\u6280\u5de7<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u5e0c\u671b\u57283D\u7ed8\u56fe\u4e2d\u6dfb\u52a0\u66f4\u591a\u7684\u7ec6\u8282\u548c\u529f\u80fd\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u6280\u5de7\uff1a<\/p>\n<\/p>\n<p><h4>1. \u6dfb\u52a0\u989c\u8272\u6761<\/h4>\n<\/p>\n<p><p>\u989c\u8272\u6761\uff08color bar\uff09\u53ef\u4ee5\u63d0\u4f9b\u5173\u4e8e\u8272\u5f69\u6620\u5c04\u7684\u9644\u52a0\u4fe1\u606f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig.colorbar(surf, shrink=0.5, aspect=5)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u8c03\u6574\u89c6\u89d2<\/h4>\n<\/p>\n<p><p>\u4f60\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u89c6\u89d2\u6765\u83b7\u5f97\u6700\u4f73\u7684\u89c2\u5bdf\u89d2\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">ax.view_init(elev=30, azim=45)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u7ed8\u5236\u6563\u70b9\u56fe<\/h4>\n<\/p>\n<p><p>\u9664\u4e86\u66f2\u9762\u56fe\uff0cMatplotlib\u8fd8\u652f\u6301\u7ed8\u52363D\u6563\u70b9\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">ax.scatter(X, Y, Z, c=&#39;r&#39;, marker=&#39;o&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c3D\u7ed8\u56fe\u6280\u672f\u53ef\u4ee5\u7528\u4e8e\u591a\u79cd\u573a\u666f\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><h4>1. \u79d1\u5b66\u7814\u7a76<\/h4>\n<\/p>\n<p><p>\u5728\u7269\u7406\u3001\u5316\u5b66\u3001\u751f\u7269\u5b66\u7b49\u5b66\u79d1\u4e2d\uff0c3D\u7ed8\u56fe\u53ef\u4ee5\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u66f4\u597d\u5730\u7406\u89e3\u590d\u6742\u7684\u73b0\u8c61\u3002<\/p>\n<\/p>\n<p><h4>2. \u5de5\u7a0b\u8bbe\u8ba1<\/h4>\n<\/p>\n<p><p>\u5728\u5de5\u7a0b\u9886\u57df\uff0c3D\u7ed8\u56fe\u53ef\u4ee5\u7528\u4e8e\u53ef\u89c6\u5316\u8bbe\u8ba1\u65b9\u6848\u3001\u6a21\u62df\u7ed3\u6784\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>3. \u91d1\u878d\u5206\u6790<\/h4>\n<\/p>\n<p><p>\u5728\u91d1\u878d\u9886\u57df\uff0c3D\u7ed8\u56fe\u53ef\u4ee5\u7528\u4e8e\u53ef\u89c6\u5316\u80a1\u7968\u4ef7\u683c\u3001\u671f\u6743\u6ce2\u52a8\u548c\u98ce\u9669\u5206\u6790\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u7efc\u5408\u6848\u4f8b<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5c06\u4e8c\u7ef4\u77e9\u9635\u7ed8\u5236\u4e3a3D\u56fe\u5f62\uff0c\u4e0b\u9762\u662f\u4e00\u4e2a\u7efc\u5408\u6848\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from mpl_toolkits.mplot3d import Axes3D<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n<p>X = np.linspace(-5, 5, 100)<\/p>\n<p>Y = np.linspace(-5, 5, 100)<\/p>\n<p>X, Y = np.meshgrid(X, Y)<\/p>\n<p>Z = np.sin(np.sqrt(X&lt;strong&gt;2 + Y&lt;\/strong&gt;2))<\/p>\n<h2><strong>\u521b\u5efa\u56fe\u5f62<\/strong><\/h2>\n<p>fig = plt.figure()<\/p>\n<p>ax = fig.add_subplot(111, projection=&#39;3d&#39;)<\/p>\n<h2><strong>\u7ed8\u5236\u66f2\u9762\u56fe<\/strong><\/h2>\n<p>surf = ax.plot_surface(X, Y, Z, cmap=&#39;viridis&#39;)<\/p>\n<h2><strong>\u6dfb\u52a0\u989c\u8272\u6761<\/strong><\/h2>\n<p>fig.colorbar(surf, shrink=0.5, aspect=5)<\/p>\n<h2><strong>\u8c03\u6574\u89c6\u89d2<\/strong><\/h2>\n<p>ax.view_init(elev=30, azim=45)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u4f60\u5e94\u8be5\u5df2\u7ecf\u638c\u63e1\u4e86\u5728Python\u4e2d\u5c06\u4e8c\u7ef4\u77e9\u9635\u7ed8\u5236\u4e3a3D\u56fe\u5f62\u7684\u57fa\u672c\u65b9\u6cd5\u548c\u6280\u5de7\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u5e2e\u52a9\u4f60\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u66f4\u597d\u5730\u5e94\u75283D\u7ed8\u56fe\u6280\u672f\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u5c06\u4e8c\u7ef4\u77e9\u9635\u53ef\u89c6\u5316\u4e3a\u4e09\u7ef4\u56fe\u5f62\uff1f<\/strong><br \/>\u8981\u5c06\u4e8c\u7ef4\u77e9\u9635\u53ef\u89c6\u5316\u4e3a\u4e09\u7ef4\u56fe\u5f62\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u50cfMatplotlib\u8fd9\u6837\u7684\u5e93\u4e2d\u76843D\u7ed8\u56fe\u529f\u80fd\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5c06\u4e8c\u7ef4\u77e9\u9635\u7684\u6570\u636e\u8f6c\u6362\u4e3a\u9002\u54083D\u56fe\u5f62\u7684\u683c\u5f0f\uff0c\u901a\u5e38\u662f\u4f7f\u7528<code>plot_surface<\/code>\u6216<code>plot_wireframe<\/code>\u65b9\u6cd5\u3002\u786e\u4fdd\u5728\u60a8\u7684\u4ee3\u7801\u4e2d\u5bfc\u5165<code>mpl_toolkits.mplot3d<\/code>\u6a21\u5757\uff0c\u4ee5\u4fbf\u80fd\u591f\u521b\u5efa3D\u56fe\u5f62\u3002<\/p>\n<p><strong>\u9700\u8981\u54ea\u4e9b\u5e93\u6765\u5b9e\u73b03D\u7ed8\u56fe\uff1f<\/strong><br \/>\u5b9e\u73b03D\u7ed8\u56fe\u65f6\uff0c\u60a8\u901a\u5e38\u9700\u8981\u5b89\u88c5\u548c\u5bfc\u5165Matplotlib\u548cNumPy\u3002\u8fd9\u4e24\u4e2a\u5e93\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5904\u7406\u6570\u636e\u5e76\u521b\u5efa\u7cbe\u7f8e\u7684\u56fe\u5f62\u3002Matplotlib\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u800cNumPy\u5219\u7528\u4e8e\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\u548c\u77e9\u9635\u64cd\u4f5c\u3002\u786e\u4fdd\u60a8\u5df2\u6b63\u786e\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff0c\u624d\u80fd\u987a\u5229\u7ed8\u56fe\u3002<\/p>\n<p><strong>\u5982\u4f55\u63d0\u9ad83D\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\u548c\u7f8e\u89c2\u6027\uff1f<\/strong><br 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