Power Consumption ECDF

import matplotlib.pyplot as plt
import numpy as np

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

np.random.seed(42)
power_kwh = np.random.normal(25, 8, 365)

ax.ecdf(power_kwh, color='#fbbf24', linewidth=2.5)

avg = np.mean(power_kwh)
ax.axvline(x=avg, color='#22c55e', linestyle='--', linewidth=2, label=f'Average: {avg:.1f} kWh')

ax.set_xlabel('Daily Power Consumption (kWh)', fontsize=12, color='white')
ax.set_ylabel('Cumulative Probability', fontsize=12, color='white')
ax.set_title('Daily Power Consumption ECDF', fontsize=16, fontweight='bold', color='white', pad=20)
ax.tick_params(colors='white')
ax.legend(facecolor='#1a1a2f', edgecolor='#333', labelcolor='white')
ax.grid(True, alpha=0.2, color='white')

for spine in ax.spines.values():
    spine.set_color('#333')

plt.tight_layout()