Smart City Metrics Rose

import matplotlib.pyplot as plt
import numpy as np

metrics = ['Transport', 'Energy', 'Water', 'Waste', 'Safety', 'Health', 'Education', 'Economy']
scores = [82, 75, 88, 72, 90, 85, 78, 80]

angles = np.linspace(0, 2 * np.pi, len(metrics), endpoint=False)
width = 2 * np.pi / len(metrics)

radii = np.sqrt(np.array(scores))

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

colors = ['#F5276C', '#F5B027', '#27D3F5', '#6CF527', '#4927F5', '#F527B0', '#27F5B0', '#F54927']
bars = ax.bar(angles, radii, width=width * 0.9, bottom=0, alpha=0.85)
for bar, c in zip(bars, colors):
    bar.set_facecolor(c)
    bar.set_edgecolor('white')
    bar.set_linewidth(0.8)

ax.set_xticks(angles)
ax.set_xticklabels(metrics, fontsize=10, color='white', fontweight='500')
ax.set_yticks([])
ax.spines['polar'].set_color('#555555')
ax.grid(color='#555555', linewidth=0.8, alpha=0.6)
ax.set_title('Smart City Metrics Rose', fontsize=16, color='white', fontweight='bold', pad=20, y=1.08)

plt.tight_layout()
plt.show()