Stock Portfolio Sector Allocation

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

# Portfolio sectors (in thousands)
labels = ['Technology', 'Healthcare', 'Financials', 'Consumer Disc.',
          'Industrials', 'Energy', 'Materials', 'Real Estate',
          'Utilities', 'Telecom']
sizes = [285, 165, 145, 120, 95, 75, 55, 80, 45, 35]
total = sum(sizes)

# CLAUDE.md colors
colors = ['#27D3F5', '#6CF527', '#F5B027', '#F5276C', '#5314E6',
          '#F54927', '#C82909', '#276CF5', '#27F5B0', '#F527B0']

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}K ({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'Stock Portfolio by Sector - ${total/1000:.1f}M Total', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()