Video Streaming Bandwidth Distribution

import matplotlib.pyplot as plt
import squarify
import numpy as np

# Bandwidth usage (TB/day)
labels = ['4K Movies', '1080p Movies', '4K Series', '1080p Series',
          '720p Content', 'Live Sports 4K', 'Live Sports HD', 
          'Music Videos', 'Trailers']
sizes = [85, 120, 95, 145, 65, 45, 55, 28, 18]
total = sum(sizes)

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

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 Streaming Bandwidth - {total}TB', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()