3D Scatter

Ocean Microplastics Distribution

3D distribution of microplastic particles in ocean water column by size and density.

Output
Ocean Microplastics Distribution
Python
import matplotlib.pyplot as plt
import numpy as np

np.random.seed(111)

# Microplastic particles in ocean water column
n_particles = 250

# Horizontal spread (ocean area)
x = np.random.uniform(-10, 10, n_particles)
y = np.random.uniform(-10, 10, n_particles)

# Depth distribution (more near surface)
z = -np.random.exponential(20, n_particles)

# Particle size
size = np.random.exponential(1, n_particles) + 0.1
particle_sizes = size * 50

# Density affects sinking
density = np.random.uniform(0.9, 1.4, n_particles)

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

scatter = ax.scatter(x, y, z, c=density, cmap='YlOrRd', s=particle_sizes, 
                     alpha=0.6, edgecolors='#92400e', linewidths=0.3)

cbar = plt.colorbar(scatter, ax=ax, shrink=0.6, pad=0.1)
cbar.set_label('Density (g/cm³)', color='#1f2937', fontsize=10)
cbar.ax.tick_params(colors='#6b7280')

ax.set_xlabel('X (km)', color='#1f2937', fontsize=10)
ax.set_ylabel('Y (km)', color='#1f2937', fontsize=10)
ax.set_zlabel('Depth (m)', color='#1f2937', fontsize=10)
ax.set_title('Ocean Microplastics Distribution', 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=25, azim=45)
plt.tight_layout()
plt.show()
Library

Matplotlib

Category

3D Charts

Did this help you?

Support PyLucid to keep it free & growing

Support