Delivery Time by Shipping Carrier

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

np.random.seed(206)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#F54927', '#F5B027', '#276CF5', '#6CF527']

carriers = ['FedEx', 'UPS', 'USPS', 'DHL']
data = pd.DataFrame({
    'Days': np.concatenate([
        np.random.gamma(2, 0.8, 100),
        np.random.gamma(2.2, 0.9, 95),
        np.random.gamma(3, 1.2, 110),
        np.random.gamma(2.5, 1.0, 85)
    ]),
    'Carrier': ['FedEx']*100 + ['UPS']*95 + ['USPS']*110 + ['DHL']*85
})

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

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

ax.set_xlabel('Delivery Time (days)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Carrier', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Delivery Time by Carrier', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#374151', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#e5e7eb')

plt.tight_layout()
plt.show()