Crop Yield by Fertilizer Type

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

np.random.seed(214)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#6CF527', '#F5B027', '#27D3F5', '#F5276C']

ferts = ['Organic', 'Synthetic', 'Hybrid', 'Control']
data = pd.DataFrame({
    'Yield': np.concatenate([
        np.random.normal(45, 8, 80),
        np.random.normal(55, 10, 85),
        np.random.normal(52, 9, 90),
        np.random.normal(38, 7, 75)
    ]),
    'Fertilizer': ['Organic']*80 + ['Synthetic']*85 + ['Hybrid']*90 + ['Control']*75
})

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

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

ax.set_xlabel('Yield (tons/hectare)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Fertilizer Type', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Crop Yield by Fertilizer', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#374151', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#e5e7eb')

plt.tight_layout()
plt.show()