Electric Vehicle Range by Brand

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

np.random.seed(106)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#6CF527', '#F5B027', '#27D3F5', '#F5276C']

brands = ['Tesla', 'Rivian', 'Ford', 'Hyundai']
data = pd.DataFrame({
    'Range': np.concatenate([
        np.random.normal(320, 45, 80),
        np.random.normal(290, 35, 60),
        np.random.normal(250, 40, 70),
        np.random.normal(270, 30, 65)
    ]),
    'Brand': ['Tesla']*80 + ['Rivian']*60 + ['Ford']*70 + ['Hyundai']*65
})

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

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

ax.set_xlabel('Range (miles)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Brand', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('EV Range by Manufacturer', 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()