Coffee Shop Sales by Time of Day

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

np.random.seed(204)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#F5B027', '#F5276C', '#27D3F5', '#5314E6']

times = ['Morning', 'Lunch', 'Afternoon', 'Evening']
data = pd.DataFrame({
    'Sales': np.concatenate([
        np.random.lognormal(1.8, 0.4, 150),
        np.random.lognormal(2.0, 0.5, 120),
        np.random.lognormal(1.6, 0.35, 100),
        np.random.lognormal(1.9, 0.45, 80)
    ]),
    'Time': ['Morning']*150 + ['Lunch']*120 + ['Afternoon']*100 + ['Evening']*80
})

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

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

ax.set_xlabel('Transaction Amount ($)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Time Period', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Coffee Shop Sales by Time', 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()