{"id":1058912,"date":"2024-12-31T15:20:32","date_gmt":"2024-12-31T07:20:32","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1058912.html"},"modified":"2024-12-31T15:20:35","modified_gmt":"2024-12-31T07:20:35","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e5%81%9a%e5%9c%86%e6%9f%b1%e4%bd%93%e6%95%99%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1058912.html","title":{"rendered":"\u5982\u4f55\u7528python\u505a\u5706\u67f1\u4f53\u6559\u7a0b"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u505a\u5706\u67f1\u4f53\u6559\u7a0b\"<\/p>\n

\u5982\u4f55\u7528Python\u505a\u5706\u67f1\u4f53\u6559\u7a0b<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u8fdb\u884c\u5706\u67f1\u4f53\u5efa\u6a21\u53ef\u4ee5\u901a\u8fc7\u591a\u4e2a\u5e93\u548c\u5de5\u5177\u5b9e\u73b0<\/strong>\uff0c\u5982matplotlib\u3001numpy\u3001\u548cmayavi\u7b49<\/strong>\uff0c\u6bcf\u4e2a\u5de5\u5177\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u5e94\u7528\u573a\u666f<\/strong>\u3002\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u6765\u521b\u5efa\u548c\u5c55\u793a\u4e00\u4e2a\u5706\u67f1\u4f53\u6a21\u578b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Matplotlib\u7ed8\u5236\u5706\u67f1\u4f53<\/strong><\/p>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u76842D\u7ed8\u56fe\u5e93\uff0c\u5c3d\u7ba1\u5b83\u4e3b\u8981\u7528\u4e8e\u751f\u6210\u9759\u6001\u7684\u56fe\u8868\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e3D\u7ed8\u56fe\u3002<\/p>\n<\/p>\n

1.1\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff0c\u5305\u62ecmatplotlib\u548cnumpy\uff1a<\/p>\n<\/p>\n

pip install matplotlib numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
from mpl_toolkits.mplot3d import Axes3D<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2\u3001\u751f\u6210\u5706\u67f1\u4f53\u7684\u5750\u6807<\/h3>\n<\/p>\n
\u6211\u4eec\u9700\u8981\u751f\u6210\u5706\u67f1\u4f53\u7684\u9876\u9762\u548c\u5e95\u9762\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n
height = 10<\/p>\n
radius = 5<\/p>\n
resolution = 100<\/p>\n
theta = np.linspace(0, 2 * np.pi, resolution)<\/p>\n
z = np.linspace(0, height, resolution)<\/p>\n
theta, z = np.meshgrid(theta, z)<\/p>\n
x = radius * np.cos(theta)<\/p>\n
y = radius * np.sin(theta)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.3\u3001\u7ed8\u5236\u5706\u67f1\u4f53<\/h3>\n<\/p>\n
\u4f7f\u7528matplotlib\u76843D\u7ed8\u56fe\u529f\u80fd\uff0c\u6211\u4eec\u53ef\u4ee5\u7ed8\u5236\u51fa\u5706\u67f1\u4f53\uff1a<\/p>\n<\/p>\n
fig = plt.figure()<\/p>\n
ax = fig.add_subplot(111, projection='3d')<\/p>\n
ax.plot_surface(x, y, z, alpha=0.7, rstride=100, cstride=100)<\/p>\n
ax.set_xlabel('X')<\/p>\n
ax.set_ylabel('Y')<\/p>\n
ax.set_zlabel('Z')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Mayavi\u7ed8\u5236\u5706\u67f1\u4f53<\/strong><\/p>\n<\/p>\n
Mayavi\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u76843D\u79d1\u5b66\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u9002\u5408\u7528\u4e8e\u66f4\u590d\u6742\u76843D\u7ed8\u56fe\u3002<\/p>\n<\/p>\n
2.1\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5mayavi\uff1a<\/p>\n<\/p>\n
pip install mayavi<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n<\/p>\n
from mayavi import mlab<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2\u3001\u751f\u6210\u5706\u67f1\u4f53\u7684\u5750\u6807<\/h3>\n<\/p>\n
\u4e0ematplotlib\u7c7b\u4f3c\uff0c\u6211\u4eec\u9700\u8981\u751f\u6210\u5706\u67f1\u4f53\u7684\u9876\u9762\u548c\u5e95\u9762\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n
height = 10<\/p>\n
radius = 5<\/p>\n
resolution = 100<\/p>\n
theta = np.linspace(0, 2 * np.pi, resolution)<\/p>\n
z = np.linspace(0, height, resolution)<\/p>\n
theta, z = np.meshgrid(theta, z)<\/p>\n
x = radius * np.cos(theta)<\/p>\n
y = radius * np.sin(theta)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.3\u3001\u7ed8\u5236\u5706\u67f1\u4f53<\/h3>\n<\/p>\n
\u4f7f\u7528mayavi\u7684mlab\u6a21\u5757\u6765\u7ed8\u5236\u5706\u67f1\u4f53\uff1a<\/p>\n<\/p>\n
mlab.mesh(x, y, z)<\/p>\n
mlab.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528Numpy\u751f\u6210\u5706\u67f1\u4f53\u6570\u636e<\/strong><\/p>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5728\u6ca1\u6709\u53ef\u89c6\u5316\u5de5\u5177\u7684\u60c5\u51b5\u4e0b\u751f\u6210\u5706\u67f1\u4f53\u7684\u6570\u636e\uff0cNumpy\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n
3.1\u3001\u751f\u6210\u5706\u67f1\u4f53\u7684\u9876\u9762\u548c\u5e95\u9762\u7684\u5750\u6807<\/h3>\n<\/p>\n
\u4f7f\u7528Numpy\u751f\u6210\u5706\u67f1\u4f53\u7684\u9876\u9762\u548c\u5e95\u9762\u7684\u5750\u6807\uff1a<\/p>\n<\/p>\n
height = 10<\/p>\n
radius = 5<\/p>\n
resolution = 100<\/p>\n
theta = np.linspace(0, 2 * np.pi, resolution)<\/p>\n
z = np.linspace(0, height, resolution)<\/p>\n
theta, z = np.meshgrid(theta, z)<\/p>\n
x = radius * np.cos(theta)<\/p>\n
y = radius * np.sin(theta)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2\u3001\u4fdd\u5b58\u6570\u636e<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Numpy\u5c06\u751f\u6210\u7684\u6570\u636e\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4ee5\u4fbf\u4e8e\u540e\u7eed\u5904\u7406\uff1a<\/p>\n<\/p>\n
np.savez('cylinder_data.npz', x=x, y=y, z=z)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.3\u3001\u52a0\u8f7d\u6570\u636e<\/h3>\n<\/p>\n
\u5728\u9700\u8981\u7684\u65f6\u5019\uff0c\u53ef\u4ee5\u968f\u65f6\u52a0\u8f7d\u8fd9\u4e9b\u6570\u636e\uff1a<\/p>\n<\/p>\n
data = np.load('cylinder_data.npz')<\/p>\n
x = data['x']<\/p>\n
y = data['y']<\/p>\n
z = data['z']<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/strong><\/p>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u4e0d\u540c\u5e93\u548c\u5de5\u5177\u5b9e\u73b0\u5706\u67f1\u4f53\u7684\u5efa\u6a21\u548c\u53ef\u89c6\u5316\u3002Matplotlib<\/strong>\u9002\u5408\u7528\u4e8e\u7b80\u5355\u76843D\u7ed8\u56fe\uff0cMayavi<\/strong>\u9002\u5408\u7528\u4e8e\u66f4\u590d\u6742\u76843D\u79d1\u5b66\u6570\u636e\u53ef\u89c6\u5316\uff0c\u800cNumpy<\/strong>\u5219\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u548c\u5904\u74063D\u6570\u636e\u3002\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548c\u5e94\u7528\u573a\u666f\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u6765\u5b9e\u73b0\u5706\u67f1\u4f53\u7684\u5efa\u6a21\u3002<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u6839\u636e\u9879\u76ee\u7684\u5177\u4f53\u9700\u6c42\u8fdb\u884c\u66f4\u591a\u7684\u53c2\u6570\u8c03\u6574\u548c\u4f18\u5316\u3002\u6b64\u5916\uff0c\u719f\u6089\u8fd9\u4e9b\u5de5\u5177\u7684\u4f7f\u7528\u65b9\u6cd5\u548c\u6280\u5de7\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u9ad8\u6548\u5730\u8fdb\u884c3D\u6570\u636e\u7684\u5904\u7406\u548c\u53ef\u89c6\u5316\u3002\u5e0c\u671b\u8fd9\u7bc7\u6559\u7a0b\u80fd\u591f\u5e2e\u52a9\u5230\u5927\u5bb6\uff0c\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1\u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u5706\u67f1\u4f53\u7684\u5efa\u6a21\u548c\u7ed8\u5236\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236\u5706\u67f1\u4f53\u7684\u56fe\u5f62\uff1f<\/strong>
\u8981\u5728Python\u4e2d\u7ed8\u5236\u5706\u67f1\u4f53\u7684\u56fe\u5f62\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u3002\u9996\u5148\uff0c\u5b89\u88c5Matplotlib\u5e93\uff0c\u7136\u540e\u4f7f\u75283D\u7ed8\u56fe\u5de5\u5177\u521b\u5efa\u5706\u67f1\u4f53\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
import numpy as np\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\n\nfig = plt.figure()\nax = fig.add_subplot(111, projection='3d')\n\nz = np.linspace(0, 1, 100)\ntheta = np.linspace(0, 2 * np.pi, 100)\ntheta_grid, z_grid = np.meshgrid(theta, z)\nx_grid = np.cos(theta_grid)\ny_grid = np.sin(theta_grid)\n\nax.plot_surface(x_grid, y_grid, z_grid)\nax.set_xlabel('X')\nax.set_ylabel('Y')\nax.set_zlabel('Z')\n\nplt.show()\n<\/code><\/pre>\n
\u8fd0\u884c\u8fd9\u6bb5\u4ee3\u7801\u5373\u53ef\u57283D\u7a7a\u95f4\u4e2d\u770b\u5230\u5706\u67f1\u4f53\u7684\u6548\u679c\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u8ba1\u7b97\u5706\u67f1\u4f53\u7684\u4f53\u79ef\u548c\u8868\u9762\u79ef\uff1f<\/strong>
\u8ba1\u7b97\u5706\u67f1\u4f53\u7684\u4f53\u79ef\u548c\u8868\u9762\u79ef\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u516c\u5f0f\uff1a  <\/p>\n
    \n
  • \u4f53\u79ef V = \u03c0r\u00b2h  <\/li>\n
  • \u8868\u9762\u79ef A = 2\u03c0rh + 2\u03c0r\u00b2
    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528math\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e9b\u8ba1\u7b97\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/li>\n<\/ul>\n
    import math\n\ndef cylinder_volume(radius, height):\n    return math.pi * radius ** 2 * height\n\ndef cylinder_surface_area(radius, height):\n    return 2 * math.pi * radius * height + 2 * math.pi * radius ** 2\n\nradius = 5\nheight = 10\nprint("\u4f53\u79ef:", cylinder_volume(radius, height))\nprint("\u8868\u9762\u79ef:", cylinder_surface_area(radius, height))\n<\/code><\/pre>\n
    \u8fd9\u6bb5\u4ee3\u7801\u5c06\u8f93\u51fa\u6307\u5b9a\u534a\u5f84\u548c\u9ad8\u5ea6\u7684\u5706\u67f1\u4f53\u7684\u4f53\u79ef\u548c\u8868\u9762\u79ef\u3002<\/p>\n
    \u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u5706\u67f1\u4f53\u7684\u7528\u6237\u8f93\u5165\uff1f<\/strong>
    \u901a\u8fc7\u4f7f\u7528input\u51fd\u6570\uff0c\u53ef\u4ee5\u8ba9\u7528\u6237\u8f93\u5165\u5706\u67f1\u4f53\u7684\u534a\u5f84\u548c\u9ad8\u5ea6\u3002\u63a5\u7740\uff0c\u53ef\u4ee5\u5c06\u8fd9\u4e9b\u8f93\u5165\u503c\u4f20\u9012\u7ed9\u8ba1\u7b97\u4f53\u79ef\u548c\u8868\u9762\u79ef\u7684\u51fd\u6570\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a  <\/p>\n
    radius = float(input("\u8bf7\u8f93\u5165\u5706\u67f1\u4f53\u7684\u534a\u5f84: "))\nheight = float(input("\u8bf7\u8f93\u5165\u5706\u67f1\u4f53\u7684\u9ad8\u5ea6: "))\n\nprint("\u5706\u67f1\u4f53\u7684\u4f53\u79ef\u4e3a:", cylinder_volume(radius, height))\nprint("\u5706\u67f1\u4f53\u7684\u8868\u9762\u79ef\u4e3a:", cylinder_surface_area(radius, height))\n<\/code><\/pre>\n
    \u8fd9\u6bb5\u4ee3\u7801\u4e0d\u4ec5\u8ba1\u7b97\u5706\u67f1\u4f53\u7684\u4f53\u79ef\u548c\u8868\u9762\u79ef\uff0c\u8fd8\u80fd\u6839\u636e\u7528\u6237\u7684\u8f93\u5165\u52a8\u6001\u751f\u6210\u7ed3\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u7528Python\u505a\u5706\u67f1\u4f53\u6559\u7a0b \u4f7f\u7528Python\u8fdb\u884c\u5706\u67f1\u4f53\u5efa\u6a21\u53ef\u4ee5\u901a\u8fc7\u591a\u4e2a\u5e93\u548c\u5de5\u5177\u5b9e\u73b0\uff0c\u5982matplotlib […]","protected":false},"author":3,"featured_media":1058922,"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\/1058912"}],"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=1058912"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1058912\/revisions"}],"predecessor-version":[{"id":1058925,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1058912\/revisions\/1058925"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1058922"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1058912"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1058912"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1058912"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}