Stock Returns by Market Sector

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

np.random.seed(110)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#22c55e', '#F54927', '#27D3F5', '#F5B027']

sectors = ['Tech', 'Energy', 'Healthcare', 'Finance']
data = pd.DataFrame({
    'Returns': np.concatenate([
        np.random.normal(18, 25, 90),
        np.random.normal(8, 30, 85),
        np.random.normal(12, 18, 95),
        np.random.normal(10, 20, 88)
    ]),
    'Sector': ['Tech']*90 + ['Energy']*85 + ['Healthcare']*95 + ['Finance']*88
})

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

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

ax.axvline(0, color='#ef4444', linestyle='--', alpha=0.5, linewidth=1)
ax.set_xlabel('Annual Return (%)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Sector', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Stock Returns by Market Sector', 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()