Boxplot
CPU Usage by Server
Server performance comparison.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {'normal': '#10B981', 'warning': '#F59E0B', 'critical': '#EF4444', 'median': '#FFFFFF', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}
np.random.seed(42)
data = [np.clip(np.random.normal(m, 15, 100), 0, 100) for m in [45, 72, 58, 85, 35]]
fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])
bp = ax.boxplot(data, widths=0.5, patch_artist=True, showfliers=False,
medianprops=dict(color=COLORS['median'], linewidth=2))
for i, (patch, m) in enumerate(zip(bp['boxes'], [45, 72, 58, 85, 35])):
if m < 60:
patch.set_facecolor(COLORS['normal'])
elif m < 80:
patch.set_facecolor(COLORS['warning'])
else:
patch.set_facecolor(COLORS['critical'])
patch.set_edgecolor('white')
ax.axhline(80, color=COLORS['critical'], linewidth=1.5, linestyle='--')
ax.set_xticklabels(['Server 1', 'Server 2', 'Server 3', 'Server 4', 'Server 5'])
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(COLORS['grid'])
ax.spines['bottom'].set_color(COLORS['grid'])
ax.yaxis.grid(True, color=COLORS['grid'], linewidth=1, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_ylabel('CPU Usage (%)', fontsize=10, color=COLORS['text'], labelpad=10)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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