Violin Plot
Mini Violins Grid
Small multiples for multi-metric comparison
Output
Python
import matplotlib.pyplot as plt
import numpy as np
# Data
np.random.seed(42)
metrics = ['CPU', 'Memory', 'Disk', 'Network', 'GPU', 'Cache']
servers = ['Server 1', 'Server 2', 'Server 3']
data = {}
for metric in metrics:
data[metric] = [np.random.normal(50 + np.random.randint(0, 30),
np.random.randint(5, 15), 100)
for _ in servers]
# Colors
colors = ['#6366F1', '#10B981', '#F59E0B']
# Create figure
fig, axes = plt.subplots(2, 3, figsize=(12, 8), facecolor='white')
axes = axes.flatten()
for idx, metric in enumerate(metrics):
ax = axes[idx]
vp = ax.violinplot(data[metric], positions=range(len(servers)), widths=0.7,
showmeans=True, showmedians=False, showextrema=False)
for i, body in enumerate(vp['bodies']):
body.set_facecolor(colors[i])
body.set_edgecolor('white')
body.set_alpha(0.8)
vp['cmeans'].set_color('white')
vp['cmeans'].set_linewidth(2)
ax.set_title(metric, fontsize=12, fontweight='600', color='#1F2937', pad=8)
ax.set_xticks(range(len(servers)))
ax.set_xticklabels(servers, fontsize=9)
ax.set_ylim(0, 100)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#E5E7EB')
ax.spines['bottom'].set_color('#E5E7EB')
ax.tick_params(colors='#6B7280', labelsize=9)
ax.yaxis.grid(True, linestyle='--', alpha=0.3, color='#9CA3AF')
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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