Autonomous Vehicle Safety

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)
scenarios = ['Highway', 'Urban', 'Suburban', 'Parking', 'Weather']
data = [
    np.random.exponential(0.5, 200),
    np.random.exponential(2, 200),
    np.random.exponential(1, 200),
    np.random.exponential(3, 200),
    np.random.exponential(4, 200)
]

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor('#0a0a0f')
fig.patch.set_facecolor('#0a0a0f')

colors = ['#6CF527', '#F5B027', '#27D3F5', '#F54927', '#F5276C']
bp = ax.boxplot(data, widths=0.6, patch_artist=True, showfliers=True,
                flierprops=dict(marker='o', markerfacecolor='#C82909', markersize=3, alpha=0.5),
                medianprops=dict(color='#F5D327', linewidth=2.5))

for patch, color in zip(bp['boxes'], colors):
    patch.set_facecolor(color)
    patch.set_alpha(0.85)
    patch.set_edgecolor('white')
for i, color in enumerate(colors):
    bp['whiskers'][i*2].set_color(color)
    bp['whiskers'][i*2+1].set_color(color)
    bp['caps'][i*2].set_color(color)
    bp['caps'][i*2+1].set_color(color)

ax.set_xticklabels(scenarios)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#333333')
ax.spines['bottom'].set_color('#333333')
ax.yaxis.grid(True, color='#1a1a2e', linewidth=0.5, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors='#888888', labelsize=9, length=0, pad=8)
ax.set_ylabel('Interventions per 1000 miles', fontsize=11, color='white', fontweight='500')
ax.set_title('Autonomous Vehicle Safety Metrics', fontsize=14, color='white', fontweight='bold', pad=15)

plt.tight_layout()
plt.show()