API Response Time by Region

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import ptitprince as pt

np.random.seed(107)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#4927F5', '#27F5B0', '#F54927']

regions = ['US-East', 'EU-West', 'Asia-Pacific']
data = pd.DataFrame({
    'Latency': np.concatenate([
        np.random.gamma(2, 15, 150),
        np.random.gamma(2.5, 18, 140),
        np.random.gamma(3, 20, 130)
    ]),
    'Region': ['US-East']*150 + ['EU-West']*140 + ['Asia-Pacific']*130
})

fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)

pt.RainCloud(x='Region', y='Latency', data=data, palette=COLORS,
             bw=.2, width_viol=.6, ax=ax, orient='h', alpha=.65,
             dodge=True, pointplot=False, move=.2)

ax.set_xlabel('Response Time (ms)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Region', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('API Latency by Data Center', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#888', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#333')

plt.tight_layout()
plt.show()