Energy Cost Comparison LCOE

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

years = ['2018', '2019', '2020', '2021', '2022', '2023']
solar = np.array([48, 42, 37, 33, 30, 28])
wind = np.array([52, 46, 41, 38, 35, 32])
coal = np.array([65, 68, 62, 72, 85, 82])
solar_err = np.array([5, 4, 4, 3, 3, 2])
wind_err = np.array([6, 5, 5, 4, 4, 3])
coal_err = np.array([8, 10, 8, 12, 15, 12])

fig, ax = plt.subplots(figsize=(11, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(years))

ax.errorbar(x, solar, yerr=solar_err, fmt='o-', color='#F5B027',
            ecolor='#F5B027', elinewidth=2, capsize=5, markersize=10,
            markeredgecolor='#1f2937', linewidth=3, label='Solar PV', alpha=0.9)
ax.fill_between(x, solar - solar_err, solar + solar_err, color='#F5B027', alpha=0.15)

ax.errorbar(x, wind, yerr=wind_err, fmt='s-', color='#27D3F5',
            ecolor='#27D3F5', elinewidth=2, capsize=5, markersize=9,
            markeredgecolor='#1f2937', linewidth=3, label='Wind', alpha=0.9)
ax.fill_between(x, wind - wind_err, wind + wind_err, color='#27D3F5', alpha=0.15)

ax.errorbar(x, coal, yerr=coal_err, fmt='^-', color='#374151',
            ecolor='#374151', elinewidth=2, capsize=5, markersize=9,
            markeredgecolor='#1f2937', linewidth=3, label='Coal', alpha=0.9)
ax.fill_between(x, coal - coal_err, coal + coal_err, color='#374151', alpha=0.1)

ax.set_xlabel('Year', fontsize=12, color='#374151', fontweight='600')
ax.set_ylabel('LCOE ($/MWh)', fontsize=12, color='#374151', fontweight='600')
ax.set_title('Levelized Cost of Energy: Renewables vs Coal', fontsize=15, 
             color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(x)
ax.set_xticklabels(years, fontsize=11)
ax.legend(facecolor='#ffffff', edgecolor='#e5e7eb', fontsize=11)
ax.tick_params(colors='#6b7280', labelsize=10)
ax.set_ylim(15, 110)
ax.grid(True, alpha=0.4, color='#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#d1d5db')
ax.spines['bottom'].set_color('#d1d5db')

plt.tight_layout()
plt.show()