NBA Player Efficiency by Position

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

np.random.seed(104)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#C82909', '#F5B027', '#6CF527', '#27D3F5', '#5314E6']

positions = ['PG', 'SG', 'SF', 'PF', 'C']
data = pd.DataFrame({
    'PER': np.concatenate([
        np.random.normal(18, 5, 60),
        np.random.normal(16, 4.5, 65),
        np.random.normal(17, 5, 55),
        np.random.normal(19, 5.5, 50),
        np.random.normal(20, 6, 45)
    ]),
    'Position': ['PG']*60 + ['SG']*65 + ['SF']*55 + ['PF']*50 + ['C']*45
})

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

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

ax.set_xlabel('Player Efficiency Rating', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Position', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('NBA Player Efficiency by Position', 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()