Investment Portfolio Allocation

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

# Portfolio allocation (in thousands)
labels = ['US Stocks', 'Int\'l Stocks', 'Bonds', 'Real Estate', 'Crypto',
          'Commodities', 'Cash', 'Private Equity']
sizes = [350, 180, 220, 120, 45, 35, 80, 70]
total = sum(sizes)

# Calculate percentages
pct = [s/total*100 for s in sizes]

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

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

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': 10, 'color': 'white', 'fontweight': 'bold'})

ax.axis('off')
ax.set_title(f'Investment Portfolio - ${total/1000:.1f}M Total', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()