3D Voxels

3D Voxel Bar Chart

Data visualization as 3D voxel bars with rainbow gradient.

Output
3D Voxel Bar Chart
Python
import matplotlib.pyplot as plt
import numpy as np

# Bar chart data
n = 5
heights = [8, 12, 6, 10, 14]

# Full palette colors for each bar
palette = [
    (0.96, 0.15, 0.42),  # coral #F5276C
    (0.15, 0.83, 0.96),  # cyan #27D3F5
    (0.96, 0.83, 0.15),  # yellow #F5D327
    (0.33, 0.08, 0.90),  # deep_purple #5314E6
    (0.42, 0.96, 0.15),  # lime #6CF527
]

voxels = np.zeros((n * 3, n * 3, max(heights)), dtype=bool)
colors = np.empty(voxels.shape + (4,), dtype=np.float32)
colors[..., 3] = 0

for i, h in enumerate(heights):
    x_start = i * 3
    voxels[x_start:x_start+2, 1:3, :h] = True
    colors[x_start:x_start+2, 1:3, :h, :3] = palette[i]
    colors[x_start:x_start+2, 1:3, :h, 3] = 0.9

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

ax.voxels(voxels, facecolors=colors, edgecolors='#1e293b', linewidth=0.3)

ax.set_xlabel('Category', fontsize=11, color='#94a3b8', labelpad=10)
ax.set_ylabel('Y', fontsize=11, color='#94a3b8', labelpad=10)
ax.set_zlabel('Value', fontsize=11, color='#94a3b8', labelpad=10)
ax.set_title('3D Voxel Bar Chart', 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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