CPU Benchmark Scores by Processor Generation

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

np.random.seed(102)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#4927F5', '#F5B027', '#27F5B0']

gens = ['Gen 11', 'Gen 12', 'Gen 13']
data = pd.DataFrame({
    'Score': np.concatenate([
        np.random.normal(850, 80, 100),
        np.random.normal(1100, 90, 100),
        np.random.normal(1400, 100, 100)
    ]),
    'Generation': ['Gen 11']*100 + ['Gen 12']*100 + ['Gen 13']*100
})

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

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

ax.set_xlabel('Benchmark Score', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('CPU Generation', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('CPU Benchmark by Generation', 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()