Clean Energy Projects Bubble

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

fig, ax = plt.subplots(figsize=(14, 9), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

projects = ['Solar CN', 'Wind EU', 'Hydro BR', 'Nuclear FR', 'Solar US', 'Wind US', 'Geo IS', 'Tidal UK']
capacity = np.array([350, 30, 110, 61, 140, 145, 0.9, 0.5])
efficiency = np.array([22, 45, 90, 92, 23, 38, 85, 25])
investment = np.array([85, 45, 25, 55, 65, 35, 2, 3])

colors = ['#F5D327', '#27D3F5', '#276CF5', '#F5276C', '#F5B027', '#6CF527', '#F54927', '#4927F5']
sizes = investment * 18

for glow_mult, glow_alpha in [(3.5, 0.02), (2.8, 0.04), (2.2, 0.06), (1.7, 0.10), (1.3, 0.15)]:
    ax.scatter(capacity, efficiency, s=sizes*glow_mult, c=colors, alpha=glow_alpha, edgecolors='none')

ax.scatter(capacity, efficiency, s=sizes, c=colors, alpha=0.9, edgecolors='none')
ax.scatter(capacity, efficiency, s=sizes*0.4, c=colors, alpha=0.4, edgecolors='none')
ax.scatter(capacity - np.sqrt(sizes)*0.3, efficiency + np.sqrt(sizes)*0.12, s=sizes*0.15, c='white', alpha=0.5, edgecolors='none')

for i, project in enumerate(projects):
    offset_y = np.sqrt(sizes[i])/2 + 10
    ax.annotate(project, (capacity[i], efficiency[i]), fontsize=10, color='white',
                ha='center', va='bottom', xytext=(0, offset_y), textcoords='offset points', fontweight='bold')

ax.text(0.0, 1.08, 'Clean Energy Projects', transform=ax.transAxes, fontsize=24, color='white', fontweight='bold')
ax.text(0.0, 1.02, 'Capacity vs Efficiency · Bubble size = Investment', transform=ax.transAxes, fontsize=11, color='#555555')

ax.set_xlabel('Installed Capacity (GW)', fontsize=14, color='#888888', fontweight='500', labelpad=15)
ax.set_ylabel('Capacity Factor (%)', fontsize=14, color='#888888', fontweight='500', labelpad=15)
ax.tick_params(colors='#555555', labelsize=11, length=0)

for y in [0, 20, 40, 60, 80, 100]:
    ax.axhline(y=y, color='#1a1a2e', linewidth=0.8, zorder=0)
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()
plt.show()