CO2 Emissions by Vehicle Type

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

np.random.seed(119)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#6CF527', '#F5B027', '#F54927', '#9C2007']

types = ['EV', 'Hybrid', 'Gas', 'Diesel']
data = pd.DataFrame({
    'CO2': np.concatenate([
        np.random.gamma(2, 5, 80),
        np.random.gamma(4, 12, 90),
        np.random.gamma(6, 20, 100),
        np.random.gamma(7, 22, 85)
    ]),
    'Type': ['EV']*80 + ['Hybrid']*90 + ['Gas']*100 + ['Diesel']*85
})

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

pt.RainCloud(x='Type', y='CO2', data=data, palette=COLORS,
             bw=.2, width_viol=.6, ax=ax, orient='h', alpha=.65,
             dodge=True, pointplot=False, move=.2)

ax.set_xlabel('CO2 Emissions (g/km)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Vehicle Type', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Carbon Emissions by Vehicle Type', 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()