Renewable Energy Production

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

# Renewable energy data
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
solar = np.array([120, 145, 210, 280, 350, 380, 395, 370, 290, 200, 140, 110])
wind = np.array([380, 350, 320, 280, 240, 200, 180, 190, 250, 310, 360, 390])
solar_var = np.array([25, 30, 35, 40, 45, 40, 35, 38, 35, 30, 25, 22])
wind_var = np.array([60, 55, 50, 45, 40, 35, 30, 32, 42, 50, 58, 62])

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

x = np.arange(len(months))

ax.errorbar(x, solar, yerr=solar_var, fmt='o-', color='#F5B027',
            ecolor='#F5B027', elinewidth=1.5, capsize=4, markersize=8,
            markeredgecolor='white', linewidth=2.5, label='Solar', alpha=0.9)
ax.fill_between(x, solar - solar_var, solar + solar_var, color='#F5B027', alpha=0.15)

ax.errorbar(x, wind, yerr=wind_var, fmt='s-', color='#27D3F5',
            ecolor='#27D3F5', elinewidth=1.5, capsize=4, markersize=8,
            markeredgecolor='white', linewidth=2.5, label='Wind', alpha=0.9)
ax.fill_between(x, wind - wind_var, wind + wind_var, color='#27D3F5', alpha=0.15)

# Combined output
combined = solar + wind
ax.plot(x, combined, '--', color='#6CF527', linewidth=2, 
        label='Combined', alpha=0.8)

ax.set_xlabel('Month', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Energy Output (GWh)', fontsize=11, color='white', fontweight='500')
ax.set_title('Renewable Energy Production Throughout Year', fontsize=14, 
             color='white', fontweight='bold', pad=15)

ax.set_xticks(x)
ax.set_xticklabels(months)
ax.legend(facecolor='#1a1a2e', edgecolor='#333', labelcolor='white', fontsize=10)
ax.tick_params(colors='#94a3b8', labelsize=9)
ax.set_ylim(0, 550)
ax.grid(True, alpha=0.2, color='#4a4a6a')
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()