Gaussian Peak Function

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

# Light theme colormap
colors = ['#ffffff', '#dbeafe', '#3b82f6', '#1e40af']
cmap = LinearSegmentedColormap.from_list('light_blue', colors, N=256)

X = np.linspace(-3, 3, 80)
Y = np.linspace(-3, 3, 80)
X, Y = np.meshgrid(X, Y)
Z = np.exp(-(X**2 + Y**2))

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

surf = ax.plot_surface(X, Y, Z, cmap=cmap, linewidth=0, antialiased=True)

ax.set_xlabel('X', color='#1f2937', fontsize=10)
ax.set_ylabel('Y', color='#1f2937', fontsize=10)
ax.set_zlabel('Z', color='#1f2937', fontsize=10)
ax.set_title('Gaussian Peak Function', color='#1f2937', fontsize=14, fontweight='bold', pad=20)

ax.tick_params(colors='#6b7280', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#e5e7eb')
ax.yaxis.pane.set_edgecolor('#e5e7eb')
ax.zaxis.pane.set_edgecolor('#e5e7eb')

ax.view_init(elev=30, azim=45)
plt.tight_layout()
plt.show()