ECDF Plot
Memory Usage ECDF
Dark theme ECDF for application memory consumption
Output
Python
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots(figsize=(10, 6), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')
np.random.seed(42)
memory_mb = np.random.lognormal(6, 0.6, 800)
ax.ecdf(memory_mb, color='#06b6d4', linewidth=2.5)
warning = 500
critical = 1000
ax.axvline(x=warning, color='#fbbf24', linestyle='--', linewidth=2, label=f'Warning: {warning}MB')
ax.axvline(x=critical, color='#ef4444', linestyle='--', linewidth=2, label=f'Critical: {critical}MB')
ax.set_xlabel('Memory Usage (MB)', fontsize=12, color='white')
ax.set_ylabel('Cumulative Probability', fontsize=12, color='white')
ax.set_title('Application Memory Usage', fontsize=16, fontweight='bold', color='white', pad=20)
ax.tick_params(colors='white')
ax.set_xlim(0, 1500)
ax.legend(facecolor='#1a1a2f', edgecolor='#333', labelcolor='white')
ax.grid(True, alpha=0.2, color='white')
for spine in ax.spines.values():
spine.set_color('#333')
plt.tight_layout()
Library
Matplotlib
Category
Statistical
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