3D Trisurf

Quantum Probability Density

2D quantum harmonic oscillator probability density from scattered sampling in cyan-pink gradient.

Output
Quantum Probability Density
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

# Scattered sampling
np.random.seed(42)
n_points = 700
x = np.random.uniform(-3, 3, n_points)
y = np.random.uniform(-3, 3, n_points)

# Quantum state |2,1> probability density
psi = (x**2) * y * np.exp(-(x**2 + y**2)/2)
z = np.abs(psi)**2

# Custom colormap
colors = ['#0a0a0f', '#164e63', '#27D3F5', '#F527B0', '#fda4af']
cmap = LinearSegmentedColormap.from_list('cyan_pink', 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('|ψ|²', fontsize=10, color='#94a3b8', labelpad=10)
ax.set_title("Quantum Probability Density", 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=30, azim=45)
plt.tight_layout()
plt.show()
Library

Matplotlib

Category

3D Charts

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