Restaurant Review Scores by Cuisine

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

np.random.seed(116)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#C82909', '#F5D327', '#27F5B0', '#F527B0']

cuisines = ['Italian', 'Japanese', 'Mexican', 'Indian']
data = pd.DataFrame({
    'Rating': np.concatenate([
        np.random.beta(8, 2, 100) * 5,
        np.random.beta(9, 2, 95) * 5,
        np.random.beta(7, 2.5, 110) * 5,
        np.random.beta(8.5, 2, 90) * 5
    ]),
    'Cuisine': ['Italian']*100 + ['Japanese']*95 + ['Mexican']*110 + ['Indian']*90
})

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

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

ax.set_xlabel('Rating (out of 5)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Cuisine Type', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Restaurant Ratings by Cuisine', 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()