3D Wireframe

Catenoid Wireframe

Catenoid minimal surface of revolution with lime neon wireframe.

Output
Catenoid Wireframe
Python
import matplotlib.pyplot as plt
import numpy as np

# Catenoid surface
u = np.linspace(0, 2 * np.pi, 50)
v = np.linspace(-2, 2, 40)
U, V = np.meshgrid(u, v)

c = 1
X = c * np.cosh(V) * np.cos(U)
Y = c * np.cosh(V) * np.sin(U)
Z = V

fig = plt.figure(figsize=(10, 8), facecolor='#020B14')
ax = fig.add_subplot(111, projection='3d', facecolor='#020B14')

# Wireframe with lime #6CF527
ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2, color='#6CF527', linewidth=0.5, alpha=0.9)

ax.set_xlabel('X', fontsize=11, color='#94a3b8', labelpad=10)
ax.set_ylabel('Y', fontsize=11, color='#94a3b8', labelpad=10)
ax.set_zlabel('Z', fontsize=11, color='#94a3b8', labelpad=10)
ax.set_title('Catenoid Wireframe', fontsize=14, color='white', fontweight='bold', pad=20)

ax.tick_params(colors='#64748b', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#1e293b')
ax.yaxis.pane.set_edgecolor('#1e293b')
ax.zaxis.pane.set_edgecolor('#1e293b')
ax.grid(True, alpha=0.2, color='#475569')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

3D Charts

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