Solar Panel Efficiency Comparison

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

# Solar panel efficiency data
panel_types = ['Monocrystalline', 'Polycrystalline', 'Thin-Film', 'PERC', 'Bifacial']
efficiency = np.array([22.5, 18.5, 12.8, 24.2, 21.8])
degradation = np.array([0.5, 0.7, 0.8, 0.4, 0.55])
eff_err = np.array([1.2, 1.0, 0.8, 1.5, 1.3])

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

x = np.arange(len(panel_types))
colors = ['#4927F5', '#276CF5', '#27D3F5', '#6CF527', '#F5B027']

bars = ax.bar(x, efficiency, yerr=eff_err, capsize=6,
              color=colors, edgecolor='#1f2937', linewidth=0.8,
              error_kw={'ecolor': '#374151', 'elinewidth': 2, 'capthick': 2},
              alpha=0.9, width=0.6)

# Add efficiency labels
for bar, eff, err in zip(bars, efficiency, eff_err):
    ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + err + 0.5,
            f'{eff}%', ha='center', color='#374151', fontsize=10, fontweight='600')

ax.set_xlabel('Panel Type', fontsize=11, color='#374151', fontweight='500')
ax.set_ylabel('Efficiency (%)', fontsize=11, color='#374151', fontweight='500')
ax.set_title('Solar Panel Efficiency Comparison', fontsize=14, 
             color='#1f2937', fontweight='bold', pad=15)

ax.set_xticks(x)
ax.set_xticklabels(panel_types, rotation=15, ha='right')
ax.tick_params(colors='#6b7280', labelsize=9)
ax.set_ylim(0, 30)
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()