Horizon Chart

Application Memory Usage Horizon

System memory consumption horizon chart with deep purple neon gradient showing allocation patterns.

Output
Application Memory Usage Horizon
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#2d1b4e', '#4c2882', '#8B5CF6', '#A78BFA'],
    'background': '#0a0a0f',
    'text': '#ffffff',
}

np.random.seed(444)
minutes = np.arange(0, 480)  # 8 hours
# Memory pattern with gradual increase and GC drops
memory = 2000 + np.cumsum(np.random.uniform(-5, 15, len(minutes)))
# Simulate garbage collection
gc_events = np.random.choice([0, 1], size=len(minutes), p=[0.98, 0.02])
memory = memory - gc_events * np.random.uniform(200, 500, len(minutes))
memory = np.clip(memory, 1500, 4000)
memory_norm = (memory - 1500) / 2500

fig, ax = plt.subplots(figsize=(14, 3), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

band = 0.25

ax.fill_between(minutes, 0, np.clip(memory_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(minutes, 0, np.clip(memory_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(minutes, 0, np.clip(memory_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(minutes, 0, np.clip(memory_norm - 3*band, 0, band), color=COLORS['bands'][3])

ax.set_xlim(0, 479)
ax.set_ylim(0, 0.3)

ax.set_title('Application Memory Usage (MB)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Time', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Memory (MB)', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 120, 240, 360, 480])
ax.set_xticklabels(['09:00', '11:00', '13:00', '15:00', '17:00'])

for spine in ax.spines.values():
    spine.set_visible(False)
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Time Series

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