3D Trisurf

Schaffer N4 Function Trisurf

Schaffer N.4 optimization test function with oscillating ridges in lime-cyan gradient.

Output
Schaffer N4 Function Trisurf
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

# Scattered sampling
np.random.seed(22)
n_points = 600
x = np.random.uniform(-50, 50, n_points)
y = np.random.uniform(-50, 50, n_points)

# Schaffer N.4
z = 0.5 + (np.cos(np.sin(np.abs(x**2 - y**2)))**2 - 0.5) / (1 + 0.001*(x**2 + y**2))**2

# Custom colormap
colors = ['#0a0a0f', '#052e16', '#6CF527', '#27D3F5', '#a5f3fc']
cmap = LinearSegmentedColormap.from_list('lime_cyan', colors, N=256)

fig = plt.figure(figsize=(10, 8), facecolor='#0a0a0f')
ax = fig.add_subplot(111, projection='3d', facecolor='#0a0a0f')

surf = ax.plot_trisurf(x, y, z, cmap=cmap, alpha=0.9, linewidth=0.1, edgecolor='#ffffff08')

ax.set_xlabel('X', fontsize=10, color='#94a3b8', labelpad=10)
ax.set_ylabel('Y', fontsize=10, color='#94a3b8', labelpad=10)
ax.set_zlabel('f(x,y)', fontsize=10, color='#94a3b8', labelpad=10)
ax.set_title("Schaffer N4 Function Trisurf", 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.view_init(elev=35, azim=45)
plt.tight_layout()
plt.show()
Library

Matplotlib

Category

3D Charts

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