Server Latency by Geographic Region

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

# Network latency data
servers = ['US-East', 'US-West', 'EU-West', 'Asia-Pacific', 'South America']
hours = np.arange(0, 24, 3)

# Latency data with different patterns per region
latency = {
    'US-East': [25, 22, 28, 35, 42, 38, 30, 26],
    'US-West': [45, 42, 48, 55, 62, 58, 50, 46],
    'EU-West': [85, 82, 78, 75, 82, 88, 90, 86],
    'Asia-Pacific': [180, 175, 170, 165, 168, 175, 182, 178],
    'South America': [120, 115, 118, 125, 135, 130, 122, 118]
}
errors = {k: np.array(v) * 0.1 + np.random.rand(8) * 5 for k, v in latency.items()}

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

colors = ['#27D3F5', '#6CF527', '#F5B027', '#F5276C', '#4927F5']
markers = ['o', 's', '^', 'D', 'v']

for (server, lat), color, marker in zip(latency.items(), colors, markers):
    ax.errorbar(hours, lat, yerr=errors[server], fmt=f'{marker}-', color=color,
                ecolor=color, elinewidth=1.5, capsize=4, capthick=1.5,
                markersize=8, markeredgecolor='white', markeredgewidth=1,
                label=server, linewidth=2, alpha=0.9)

ax.set_xlabel('Hour (UTC)', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Latency (ms)', fontsize=11, color='white', fontweight='500')
ax.set_title('Server Latency by Geographic Region', fontsize=14, 
             color='white', fontweight='bold', pad=15)

ax.legend(facecolor='#1a1a2e', edgecolor='#333', labelcolor='white', 
          fontsize=9, loc='upper right')
ax.set_xticks(hours)
ax.set_xticklabels([f'{h:02d}:00' for h in hours])
ax.tick_params(colors='#94a3b8', labelsize=9)
ax.grid(True, alpha=0.2, color='#4a4a6a')
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()