Horizon Chart
Network Bandwidth Horizon
Clean horizon visualization of network bandwidth usage with mint green gradient bands.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {
'bands': ['#D1FAE5', '#6EE7B7', '#34D399', '#10B981'],
'background': '#ffffff',
'text': '#1f2937',
'grid': '#e5e7eb',
}
np.random.seed(456)
minutes = np.arange(0, 1440) # Full day in minutes
# Network traffic pattern
traffic = 500 + 300 * np.sin(minutes * np.pi / 720) + np.random.normal(0, 80, len(minutes))
traffic = np.clip(traffic, 0, 1000)
traffic_norm = traffic / 1000
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(traffic_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(minutes, 0, np.clip(traffic_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(minutes, 0, np.clip(traffic_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(minutes, 0, np.clip(traffic_norm - 3*band, 0, band), color=COLORS['bands'][3])
ax.set_xlim(0, 1439)
ax.set_ylim(0, 0.3)
ax.set_title('Network Bandwidth Usage (Mbps)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Time', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Bandwidth', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 360, 720, 1080, 1440])
ax.set_xticklabels(['00:00', '06:00', '12:00', '18:00', '24:00'])
for spine in ax.spines.values():
spine.set_color(COLORS['grid'])
ax.tick_params(colors=COLORS['text'], labelsize=9)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Time Series
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