![\"python\u753b\u4e09d\u56fe\u5982\u4f55\u6539\u53d8\u89c6\u89d2\"](\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/14a80c81-1e87-4d3f-adad-89c1f485d4e4.webp?x-oss-process=image\/auto-orient,1\/format,webp\")
<\/p>\n<\/p>\n
Python\u753b\u4e09D\u56fe\u5982\u4f55\u6539\u53d8\u89c6\u89d2<\/strong>\uff1a\u901a\u8fc7\u8c03\u6574\u89c6\u89d2\u53c2\u6570 \u5728Python\u4e2d\u7ed8\u52363D\u56fe\u5e76\u6539\u53d8\u89c6\u89d2\u7684\u8fc7\u7a0b\u901a\u5e38\u4f7f\u7528Matplotlib\u5e93\u3002\u901a\u8fc7\u8c03\u6574\u89c6\u89d2\u53c2\u6570 \u8981\u4f7f\u7528Matplotlib\u7ed8\u52363D\u56fe\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u7136\u540e\uff0c\u5728Python\u811a\u672c\u6216Jupyter Notebook\u4e2d\u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757\uff1a<\/p>\n<\/p>\n from mpl_toolkits.mplot3d import Axes3D<\/p>\n import numpy as np<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u6539\u53d8\u89c6\u89d2\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u57fa\u672c\u76843D\u56fe\u3002\u4ee5\u4e0b\u793a\u4f8b\u4ee3\u7801\u751f\u6210\u4e00\u4e2a3D\u66f2\u9762\u56fe\uff1a<\/p>\n<\/p>\n ax = fig.add_subplot(111, projection='3d')<\/p>\n X = np.linspace(-5, 5, 100)<\/p>\n Y = np.linspace(-5, 5, 100)<\/p>\n X, Y = np.meshgrid(X, Y)<\/p>\n Z = np.sin(np.sqrt(X<strong>2 + Y<\/strong>2))<\/p>\n ax.plot_surface(X, Y, Z, cmap='viridis')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c \u5728\u4e00\u4e9b\u4ea4\u4e92\u5f0f\u73af\u5883\uff08\u5982Jupyter Notebook\uff09\u4e2d\uff0c\u53ef\u4ee5\u52a8\u6001\u8c03\u6574\u89c6\u89d2\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u751f\u6210\u4e00\u4e2a\u52a8\u753b\u6765\u5c55\u793a\u89c6\u89d2\u7684\u53d8\u5316\uff1a<\/p>\n<\/p>\n def update(num, ax, fig):<\/p>\n ax.view_init(elev=10, azim=num)<\/p>\n return fig,<\/p>\n fig = plt.figure()<\/p>\n ax = fig.add_subplot(111, projection='3d')<\/p>\n X = np.linspace(-5, 5, 100)<\/p>\n Y = np.linspace(-5, 5, 100)<\/p>\n X, Y = np.meshgrid(X, Y)<\/p>\n Z = np.sin(np.sqrt(X<strong>2 + Y<\/strong>2))<\/p>\n ax.plot_surface(X, Y, Z, cmap='viridis')<\/p>\n ani = animation.FuncAnimation(fig, update, frames=range(0, 360, 2), fargs=(ax, fig), interval=50)<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u8be5\u4ee3\u7801\u521b\u5efa\u4e00\u4e2a\u52a8\u753b\uff0c\u5c06\u89c6\u89d2\u4ece0\u5ea6\u5230360\u5ea6\u5faa\u73af\u53d8\u5316\uff0c\u4ece\u800c\u5c55\u793a3D\u56fe\u7684\u5168\u666f\u89c6\u89d2\u3002<\/p>\n<\/p>\n \u4f7f\u7528Matplotlib\u7684\u4ea4\u4e92\u5f0f\u5de5\u5177\u53ef\u4ee5\u66f4\u76f4\u89c2\u5730\u8c03\u65743D\u56fe\u7684\u89c6\u89d2\u3002\u4f8b\u5982\uff0c ax = fig.add_subplot(111, projection='3d')<\/p>\n X = np.linspace(-5, 5, 100)<\/p>\n Y = np.linspace(-5, 5, 100)<\/p>\n X, Y = np.meshgrid(X, Y)<\/p>\n Z = np.sin(np.sqrt(X<strong>2 + Y<\/strong>2))<\/p>\n ax.plot_surface(X, Y, Z, cmap='viridis')<\/p>\n plt.ion() # \u542f\u7528\u4ea4\u4e92\u6a21\u5f0f<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u542f\u7528\u4ea4\u4e92\u6a21\u5f0f\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u9f20\u6807\u62d6\u52a8\u6765\u5b9e\u65f6\u8c03\u65743D\u56fe\u7684\u89c6\u89d2\uff0c\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u65b9\u4fbf\u7684\u529f\u80fd\uff0c\u7279\u522b\u662f\u5728\u6570\u636e\u63a2\u7d22\u9636\u6bb5\u3002<\/p>\n<\/p>\n \u8c03\u6574\u89c6\u89d2\u4ee5\u7a81\u51fa\u6570\u636e\u7279\u5f81<\/strong>\uff1a\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8c03\u65743D\u56fe\u7684\u89c6\u89d2\u53ef\u4ee5\u5e2e\u52a9\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u7684\u7279\u5f81\u3002\u4f8b\u5982\uff0c\u5728\u5c55\u793a\u5730\u5f62\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u4e00\u4e2a\u80fd\u591f\u7a81\u51fa\u5c71\u8c37\u548c\u5c71\u810a\u7684\u89c6\u89d2\u3002<\/p>\n<\/p>\n<\/li>\n \u52a8\u753b\u5c55\u793a<\/strong>\uff1a\u521b\u5efa\u52a8\u753b\u6765\u52a8\u6001\u5c55\u793a\u89c6\u89d2\u53d8\u5316\uff0c\u53ef\u4ee5\u5e2e\u52a9\u89c2\u4f17\u66f4\u5168\u9762\u5730\u7406\u89e3\u6570\u636e\u7684\u7ed3\u6784\u3002\u8fd9\u5728\u6570\u636e\u5c55\u793a\u548c\u62a5\u544a\u4e2d\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n \u4ea4\u4e92\u5f0f\u63a2\u7d22<\/strong>\uff1a\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u4f7f\u7528\u4ea4\u4e92\u5f0f\u5de5\u5177\u53ef\u4ee5\u66f4\u76f4\u89c2\u5730\u63a2\u7d22\u6570\u636e\u3002\u901a\u8fc7\u5b9e\u65f6\u8c03\u6574\u89c6\u89d2\uff0c\u53ef\u4ee5\u5feb\u901f\u53d1\u73b0\u6570\u636e\u4e2d\u7684\u6f5c\u5728\u6a21\u5f0f\u548c\u5f02\u5e38\u3002<\/p>\n<\/p>\n<\/li>\n \u4fdd\u5b58\u4e0d\u540c\u89c6\u89d2\u7684\u56fe\u7247<\/strong>\uff1a\u5728\u62a5\u544a\u6216\u8bba\u6587\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5c55\u793a\u6570\u636e\u7684\u4e0d\u540c\u89c6\u89d2\u3002\u901a\u8fc7\u8c03\u6574 \u9664\u4e86\u57fa\u672c\u7684\u89c6\u89d2\u8c03\u6574\u5916\uff0cMatplotlib\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u529f\u80fd\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u589e\u5f3a3D\u56fe\u7684\u8868\u73b0\u529b\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e0d\u540c\u7684\u989c\u8272\u6620\u5c04\uff08colormap\uff09\u3001\u6dfb\u52a0\u900f\u660e\u5ea6\uff08alpha\uff09\u4ee5\u53ca\u53e0\u52a0\u591a\u4e2a\u6570\u636e\u96c6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u590d\u6742\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u8fd9\u4e9b\u529f\u80fd\uff1a<\/p>\n<\/p>\n ax = fig.add_subplot(111, projection='3d')<\/p>\n X = np.linspace(-5, 5, 100)<\/p>\n Y = np.linspace(-5, 5, 100)<\/p>\n X, Y = np.meshgrid(X, Y)<\/p>\n Z1 = np.sin(np.sqrt(X<strong>2 + Y<\/strong>2))<\/p>\n Z2 = np.cos(np.sqrt(X<strong>2 + Y<\/strong>2))<\/p>\n ax.plot_surface(X, Y, Z1, cmap='viridis', alpha=0.7)<\/p>\n ax.plot_surface(X, Y, Z2, cmap='plasma', alpha=0.7)<\/p>\n ax.view_init(elev=30, azim=45)<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u7ed8\u5236\u4e86\u4e24\u4e2a\u66f2\u9762\u56fe\uff0c\u5e76\u4f7f\u7528\u4e0d\u540c\u7684\u989c\u8272\u6620\u5c04\u548c\u900f\u660e\u5ea6\u6765\u533a\u5206\u5b83\u4eec\u3002\u901a\u8fc7\u8c03\u6574\u89c6\u89d2\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u89c2\u5bdf\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n<\/p>\n \u6539\u53d83D\u56fe\u7684\u89c6\u89d2\u662f\u4e00\u4e2a\u975e\u5e38\u6709\u7528\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u548c\u5c55\u793a\u6570\u636e\u3002\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u901a\u8fc7\u8c03\u6574 \u5982\u4f55\u5728Python\u4e2d\u7ed8\u52363D\u56fe\u5f62\u5e76\u8c03\u6574\u89c6\u89d2\uff1f<\/strong> \u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9bPython\u5e93\u6765\u521b\u5efa3D\u56fe\u5f62\uff1f<\/strong> \u5982\u4f55\u63d0\u9ad83D\u56fe\u5f62\u7684\u6e32\u67d3\u8d28\u91cf\uff1f<\/strong>azim<\/code>\u548celev<\/code>\u53ef\u4ee5\u6539\u53d83D\u56fe\u7684\u89c6\u89d2\u3001\u4f7f\u7528view_init<\/code>\u65b9\u6cd5\u8c03\u6574\u3001\u4ea4\u4e92\u5f0f\u5de5\u5177\u5982matplotlib\u7684plot_surface<\/code>\u63d0\u4f9b\u4e86\u66f4\u76f4\u89c2\u7684\u65b9\u5f0f\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u6539\u53d8\u89c6\u89d2\u3002<\/p>\n<\/p>\nazim<\/code>\u548celev<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u63a7\u5236\u7ed8\u56fe\u7684\u65b9\u4f4d\u89d2\u548c\u9ad8\u5ea6\u89d2\uff0c\u8fdb\u800c\u6539\u53d83D\u56fe\u7684\u89c6\u89d2<\/strong>\u3002\u4ee5\u4e0b\u5185\u5bb9\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4ee5\u53ca\u4e00\u4e9b\u4e2a\u4eba\u7684\u7ecf\u9a8c\u89c1\u89e3\u3002<\/p>\n<\/p>\n\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n
pip install matplotlib<\/p>\nimport matplotlib.pyplot as plt<\/p>\n\u4e8c\u3001\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u76843D\u56fe<\/h3>\n<\/p>\n
fig = plt.figure()<\/p>\n\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
\u7ed8\u52363D\u66f2\u9762\u56fe<\/strong><\/h2>\n
\u4e09\u3001\u8c03\u6574\u89c6\u89d2<\/h3>\n<\/p>\n
1. \u4f7f\u7528
view_init<\/code>\u65b9\u6cd5<\/h4>\n<\/p>\nview_init<\/code>\u65b9\u6cd5\u53ef\u4ee5\u76f4\u63a5\u8c03\u65743D\u56fe\u7684\u89c6\u89d2\u3002\u8be5\u65b9\u6cd5\u63a5\u53d7\u4e24\u4e2a\u53c2\u6570\uff1aelev<\/code>\uff08\u9ad8\u5ea6\u89d2\uff09\u548cazim<\/code>\uff08\u65b9\u4f4d\u89d2\uff09\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\nax.view_init(elev=30, azim=45)<\/p>\nelev<\/code>\u53c2\u6570\u8bbe\u7f6e\u4e3a30\u5ea6\uff0cazim<\/code>\u53c2\u6570\u8bbe\u7f6e\u4e3a45\u5ea6\u3002\u901a\u8fc7\u66f4\u6539\u8fd9\u4e9b\u503c\uff0c\u53ef\u4ee5\u83b7\u5f97\u4e0d\u540c\u7684\u89c6\u89d2\u3002<\/p>\n<\/p>\n2. \u52a8\u6001\u8c03\u6574\u89c6\u89d2<\/h4>\n<\/p>\n
import matplotlib.animation as animation<\/p>\n\u56db\u3001\u4ea4\u4e92\u5f0f\u5de5\u5177<\/h3>\n<\/p>\n
plot_surface<\/code>\u65b9\u6cd5\u63d0\u4f9b\u4e86\u9f20\u6807\u62d6\u52a8\u89c6\u89d2\u7684\u529f\u80fd\u3002\u5728\u542f\u7528\u4e86\u4ea4\u4e92\u6a21\u5f0f\u7684Matplotlib\u7a97\u53e3\u4e2d\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u9f20\u6807\u8c03\u6574\u89c6\u89d2\uff1a<\/p>\n<\/p>\nfig = plt.figure()<\/p>\n\u4e94\u3001\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u7ecf\u9a8c\u89c1\u89e3<\/h3>\n<\/p>\n
\n
view_init<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u751f\u6210\u591a\u5f20\u4e0d\u540c\u89c6\u89d2\u7684\u56fe\u7247\uff0c\u7136\u540e\u5c06\u5b83\u4eec\u63d2\u5165\u6587\u6863\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n\u516d\u3001\u8fdb\u4e00\u6b65\u63a2\u7d22<\/h3>\n<\/p>\n
fig = plt.figure()<\/p>\n\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
\u7ed8\u5236\u7b2c\u4e00\u4e2a\u66f2\u9762\u56fe<\/strong><\/h2>\n
\u7ed8\u5236\u7b2c\u4e8c\u4e2a\u66f2\u9762\u56fe<\/strong><\/h2>\n
\u8c03\u6574\u89c6\u89d2<\/strong><\/h2>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
view_init<\/code>\u53c2\u6570\u3001\u4f7f\u7528\u4ea4\u4e92\u5f0f\u5de5\u5177\u548c\u521b\u5efa\u52a8\u753b\uff0c\u6211\u4eec\u53ef\u4ee5\u52a8\u6001\u5730\u8c03\u65743D\u56fe\u7684\u89c6\u89d2\uff0c\u4ece\u800c\u83b7\u5f97\u66f4\u597d\u7684\u6570\u636e\u5c55\u793a\u6548\u679c\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5408\u7406\u5730\u9009\u62e9\u89c6\u89d2\u53ef\u4ee5\u7a81\u51fa\u6570\u636e\u7684\u7279\u5f81\uff0c\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5c55\u793a\u3002\u5e0c\u671b\u672c\u6587\u63d0\u4f9b\u7684\u793a\u4f8b\u548c\u7ecf\u9a8c\u89c1\u89e3\u80fd\u5bf9\u5927\u5bb6\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u521b\u5efa3D\u56fe\u5f62\u3002\u901a\u8fc7\u8c03\u7528ax.view_init(elev, azim)<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u6539\u53d8\u56fe\u5f62\u7684\u89c6\u89d2\u3002elev<\/code>\u53c2\u6570\u63a7\u5236\u89c6\u70b9\u7684\u4ef0\u89d2\uff0c\u800cazim<\/code>\u53c2\u6570\u5219\u63a7\u5236\u65b9\u4f4d\u89d2\u3002\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5728\u7ed8\u56fe\u4ee3\u7801\u4e2d\u8c03\u6574\u8fd9\u4e24\u4e2a\u53c2\u6570\uff0c\u4ee5\u83b7\u5f97\u7406\u60f3\u7684\u89c6\u89d2\u3002<\/p>\n
\u9664\u4e86Matplotlib\uff0cPython\u4e2d\u8fd8\u6709\u5176\u4ed6\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u4e8e\u7ed8\u52363D\u56fe\u5f62\u3002\u4f8b\u5982\uff0cMayavi\u548cPlotly\u90fd\u662f\u975e\u5e38\u6d41\u884c\u7684\u9009\u62e9\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u66f4\u590d\u6742\u76843D\u6570\u636e\u53ef\u89c6\u5316\u65f6\u3002Mayavi\u9002\u5408\u79d1\u5b66\u8ba1\u7b97\uff0c\u800cPlotly\u5219\u652f\u6301\u4ea4\u4e92\u5f0f\u56fe\u5f62\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u9f20\u6807\u65cb\u8f6c\u548c\u7f29\u653e\u6765\u8c03\u6574\u89c6\u89d2\u3002<\/p>\n
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