Wine Critic Scores Comparison

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

# Wine scoring data
wines = ['Bordeaux\n2018', 'Burgundy\n2019', 'Napa Valley\n2020', 'Rioja\n2017', 'Barolo\n2018']
critic_a = np.array([94, 92, 90, 91, 95])
critic_b = np.array([92, 94, 88, 93, 93])
critic_c = np.array([93, 91, 91, 90, 94])
err = np.array([1.5, 1.8, 2.0, 1.6, 1.4])

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(wines))
width = 0.25

ax.bar(x - width, critic_a, width, yerr=err, label='Wine Spectator',
       color='#9C2007', edgecolor='#1f2937', capsize=3,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x, critic_b, width, yerr=err, label='Robert Parker',
       color='#C82909', edgecolor='#1f2937', capsize=3,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x + width, critic_c, width, yerr=err, label='Decanter',
       color='#F5B027', edgecolor='#1f2937', capsize=3,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})

ax.axhline(y=90, color='#6CF527', linestyle='--', linewidth=1.5, 
           label='Outstanding (90+)', alpha=0.7)

ax.set_xlabel('Wine', fontsize=11, color='#374151', fontweight='500')
ax.set_ylabel('Score (100-point scale)', fontsize=11, color='#374151', fontweight='500')
ax.set_title('Premium Wine Critic Scores Comparison', fontsize=14, 
             color='#1f2937', fontweight='bold', pad=15)

ax.set_xticks(x)
ax.set_xticklabels(wines)
ax.legend(facecolor='#f8fafc', edgecolor='#d1d5db', fontsize=9, loc='lower right')
ax.tick_params(colors='#6b7280', labelsize=9)
ax.set_ylim(82, 100)
ax.grid(True, axis='y', alpha=0.3, color='#d1d5db')
for spine in ax.spines.values():
    spine.set_color('#d1d5db')

plt.tight_layout()
plt.show()