Raincloud Plot
Student Test Scores by Study Method
Exam performance across learning approaches
Output
Python
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import ptitprince as pt
np.random.seed(203)
BG_COLOR = '#ffffff'
TEXT_COLOR = '#1f2937'
COLORS = ['#F54927', '#4927F5', '#27F5B0', '#F5D327']
methods = ['Traditional', 'Online', 'Hybrid', 'Self-Paced']
data = pd.DataFrame({
'Score': np.concatenate([
np.random.normal(72, 12, 90),
np.random.normal(75, 14, 85),
np.random.normal(80, 10, 95),
np.random.normal(68, 16, 80)
]),
'Method': ['Traditional']*90 + ['Online']*85 + ['Hybrid']*95 + ['Self-Paced']*80
})
fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)
pt.RainCloud(x='Method', y='Score', data=data, palette=COLORS,
bw=.2, width_viol=.6, ax=ax, orient='h', alpha=.65,
dodge=True, pointplot=False, move=.2)
ax.axvline(70, color='#22c55e', linestyle='--', alpha=0.6, linewidth=1.5)
ax.text(71, 3.5, 'Pass', color='#22c55e', fontsize=9)
ax.set_xlabel('Test Score', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Study Method', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Student Performance by Study Method', 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()
Library
Matplotlib
Category
Statistical
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