Treemap

CDN Traffic Distribution

Dark-themed treemap showing CDN traffic distribution across different regions and content types.

Output
CDN Traffic Distribution
Python
import matplotlib.pyplot as plt
import squarify
import numpy as np

# CDN traffic (in TB/day)
labels = ['NA - Video', 'EU - Video', 'APAC - Video', 'NA - Static',
          'EU - Static', 'APAC - Static', 'LATAM', 'MEA', 'API Cache']
sizes = [85, 65, 78, 42, 35, 48, 28, 18, 55]
total = sum(sizes)

# CLAUDE.md colors
colors = ['#27D3F5', '#276CF5', '#5314E6', '#6CF527', '#27F5B0',
          '#F5B027', '#F5276C', '#F54927', '#C82909']

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

pct = [s/total*100 for s in sizes]
squarify.plot(sizes=sizes, 
              label=[f'{l}\n{s}TB ({p:.1f}%)' for l, s, p in zip(labels, sizes, pct)],
              color=colors, alpha=0.85, ax=ax,
              text_kwargs={'fontsize': 9, 'color': 'white', 'fontweight': 'bold'})

ax.axis('off')
ax.set_title(f'Daily CDN Traffic - {total}TB', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Part-to-Whole

Did this help you?

Support PyLucid to keep it free & growing

Support