Wine Sommelier Quality Assessment

import matplotlib.pyplot as plt
import numpy as np

# Wine characteristics
categories = ['Aroma Intensity', 'Body', 'Acidity', 'Tannins',
              'Sweetness', 'Finish Length', 'Complexity', 'Balance']
              
cabernet = [85, 95, 70, 95, 25, 90, 88, 85]
pinot_noir = [92, 70, 82, 60, 30, 85, 92, 90]
chardonnay = [88, 75, 85, 20, 45, 80, 82, 88]
riesling = [95, 55, 92, 15, 75, 75, 85, 85]

N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]

cabernet += cabernet[:1]
pinot_noir += pinot_noir[:1]
chardonnay += chardonnay[:1]
riesling += riesling[:1]

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

ax.plot(angles, cabernet, 'o-', linewidth=2.5, color='#9C2007', label='Cabernet Sauvignon', markersize=7)
ax.fill(angles, cabernet, alpha=0.2, color='#9C2007')

ax.plot(angles, pinot_noir, 's-', linewidth=2.5, color='#F5276C', label='Pinot Noir', markersize=7)
ax.fill(angles, pinot_noir, alpha=0.2, color='#F5276C')

ax.plot(angles, chardonnay, '^-', linewidth=2.5, color='#F5D327', label='Chardonnay', markersize=7)
ax.fill(angles, chardonnay, alpha=0.2, color='#F5D327')

ax.plot(angles, riesling, 'D-', linewidth=2.5, color='#27F5B0', label='Riesling', markersize=7)
ax.fill(angles, riesling, alpha=0.2, color='#27F5B0')

ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='#e2e8f0', fontweight='500')
ax.set_ylim(0, 100)

ax.yaxis.grid(True, color='#1e293b', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#334155', linestyle='-', linewidth=0.5)
ax.spines['polar'].set_color('#334155')
ax.tick_params(axis='y', colors='#94a3b8')

ax.set_title('Wine Variety Profiles', fontsize=16, color='#f8fafc',
             fontweight='bold', pad=25)

ax.legend(loc='upper right', bbox_to_anchor=(1.22, 1.1), fontsize=10,
          frameon=True, facecolor='#1e293b', edgecolor='#334155', labelcolor='#e2e8f0')

plt.tight_layout()
plt.show()