Renewable Energy Mix Analysis

import matplotlib.pyplot as plt
import numpy as np

# Energy sources
sources = ['Solar', 'Wind', 'Hydro', 'Geothermal', 'Biomass', 'Tidal']
capacity = [35, 28, 22, 8, 5, 2]  # Percentage
colors = ['#F5B027', '#27D3F5', '#276CF5', '#F54927', '#6CF527', '#4927F5']

# Angles
angles = np.linspace(0, 2 * np.pi, len(sources), endpoint=False)
width = 2 * np.pi / len(sources) * 0.75

# Light theme - Rose/Nightingale chart with sqrt scaling
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

# Scale radii by sqrt for area perception
radii = np.sqrt(np.array(capacity) / max(capacity)) * max(capacity)

# Draw bars
bars = ax.bar(angles, radii, width=width, color=colors, alpha=0.8, edgecolor='white', linewidth=2)

# Add value labels
for angle, radius, val, color in zip(angles, radii, capacity, colors):
    ax.annotate(f'{val}%', xy=(angle, radius + 3), ha='center', va='bottom',
                fontsize=11, fontweight='bold', color=color)

# Styling
ax.set_ylim(0, 45)
ax.set_xticks(angles)
ax.set_xticklabels(sources, fontsize=12, color='#1f2937', fontweight='600')
ax.set_yticks([])

ax.spines['polar'].set_color('#e5e7eb')
ax.grid(color='#e5e7eb', linewidth=0.8)

ax.set_title('Renewable Energy Generation Mix', fontsize=16, color='#1f2937', fontweight='bold', pad=25)

plt.tight_layout()
plt.show()