Horizon Chart
API Response Time Horizon
Web API response time horizon chart showing latency patterns with cyan neon gradient.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {
'bands': ['#0d3d4d', '#1a6b7a', '#22D3EE', '#27D3F5'],
'background': '#0a0a0f',
'text': '#ffffff',
}
np.random.seed(666)
requests = np.arange(0, 1000)
# Response time with occasional spikes
base_latency = 50 + 20 * np.sin(requests * 0.01)
spikes = np.random.choice([0, 1], size=len(requests), p=[0.97, 0.03]) * np.random.uniform(100, 300, len(requests))
latency = base_latency + spikes + np.random.exponential(10, len(requests))
latency = np.clip(latency, 20, 400)
latency_norm = latency / 400
fig, ax = plt.subplots(figsize=(14, 3), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])
band = 0.25
ax.fill_between(requests, 0, np.clip(latency_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(requests, 0, np.clip(latency_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(requests, 0, np.clip(latency_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(requests, 0, np.clip(latency_norm - 3*band, 0, band), color=COLORS['bands'][3])
ax.set_xlim(0, 999)
ax.set_ylim(0, 0.3)
ax.set_title('API Response Time (ms)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Request #', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Latency (ms)', color=COLORS['text'], fontsize=10)
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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