Book Rating by Genre

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

np.random.seed(216)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#F527B0', '#276CF5', '#F5B027', '#6CF527']

genres = ['Fiction', 'Non-Fiction', 'Mystery', 'Romance']
data = pd.DataFrame({
    'Rating': np.concatenate([
        np.random.beta(7, 2, 100) * 5,
        np.random.beta(8, 2.5, 90) * 5,
        np.random.beta(7.5, 2, 85) * 5,
        np.random.beta(6.5, 2.5, 95) * 5
    ]),
    'Genre': ['Fiction']*100 + ['Non-Fiction']*90 + ['Mystery']*85 + ['Romance']*95
})

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

pt.RainCloud(x='Genre', 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('Genre', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Book Ratings by Genre', 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()