Energy Consumption by Sector Stream

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'layers': ['#EF4444', '#F59E0B', '#10B981', '#3B82F6', '#8B5CF6'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(456)
hours = np.arange(0, 24)

# Energy by sector (hourly pattern)
industrial = 40 + 10 * (1 - np.abs(hours - 14) / 14) + np.random.normal(0, 2, 24)
residential = 20 + 15 * np.exp(-((hours - 19)**2) / 10) + 10 * np.exp(-((hours - 7)**2) / 5) + np.random.normal(0, 2, 24)
commercial = 25 * np.exp(-((hours - 13)**2) / 20) + np.random.normal(0, 2, 24)
transport = 15 + 10 * np.exp(-((hours - 8)**2) / 5) + 8 * np.exp(-((hours - 17)**2) / 5) + np.random.normal(0, 1, 24)
agriculture = 8 + 5 * np.sin(hours * np.pi / 12) + np.random.normal(0, 1, 24)

data = [np.clip(d, 1, None) for d in [industrial, residential, commercial, transport, agriculture]]

fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

ax.stackplot(hours, *data, colors=COLORS['layers'], alpha=0.85, baseline='sym',
             labels=['Industrial', 'Residential', 'Commercial', 'Transport', 'Agriculture'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5)
ax.set_xlim(0, 23)
ax.set_xticks([0, 6, 12, 18, 24])
ax.set_xticklabels(['00:00', '06:00', '12:00', '18:00', '24:00'])

ax.set_title('Daily Energy Consumption by Sector', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Hour of Day', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Energy (GWh)', color=COLORS['text'], fontsize=11)

ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, fontsize=9, ncol=5)

for spine in ax.spines.values():
    spine.set_color(COLORS['grid'])
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.subplots_adjust(bottom=0.18)
plt.show()