E-commerce Revenue by Category

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

# Revenue by category (in thousands)
labels = ['Electronics', 'Fashion', 'Home & Garden', 'Sports',
          'Beauty', 'Books', 'Toys', 'Food & Beverage', 'Automotive', 'Pet Supplies']
sizes = [2850, 1920, 1450, 980, 850, 620, 545, 780, 490, 380]
total = sum(sizes)

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

fig, ax = plt.subplots(figsize=(14, 9), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

pct = [s/total*100 for s in sizes]
squarify.plot(sizes=sizes, 
              label=[f'{l}\n${s/1000:.1f}M ({p:.1f}%)' for l, s, p in zip(labels, sizes, pct)],
              color=colors, alpha=0.9, ax=ax,
              text_kwargs={'fontsize': 10, 'color': 'white', 'fontweight': 'bold'})

ax.axis('off')
ax.set_title(f'E-commerce Revenue Distribution - ${total/1000:.1f}M Total', 
             fontsize=18, color='#1f2937', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()