Stream Graph
Network Traffic by Protocol Stream
Stream visualization of network traffic distribution by protocol type.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {
'background': '#0a0a0f',
'text': '#ffffff',
'grid': '#333333',
}
np.random.seed(2727)
hours = np.arange(0, 24)
https = 50 + 15 * np.sin(hours * np.pi / 12) + np.random.normal(0, 3, 24)
video_stream = 25 + 20 * np.exp(-((hours - 20)**2) / 15) + np.random.normal(0, 2, 24)
gaming = 10 + 15 * np.exp(-((hours - 21)**2) / 10) + np.random.normal(0, 2, 24)
voip = 8 + 5 * np.sin(hours * np.pi / 12 - 1) + np.random.normal(0, 1, 24)
other = 7 + 3 * np.random.random(24)
data = [np.clip(d, 1, None) for d in [https, video_stream, gaming, voip, other]]
colors = ['#27D3F5', '#F5276C', '#6CF527', '#F5B027', '#4927F5']
fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])
ax.stackplot(hours, *data, colors=colors, alpha=0.85, baseline='sym',
labels=['HTTPS/Web', 'Video Streaming', 'Gaming', 'VoIP', 'Other'])
ax.axhline(0, color=COLORS['grid'], linewidth=0.5, alpha=0.5)
ax.set_xlim(0, 23)
ax.set_xticks([0, 6, 12, 18, 24])
ax.set_xticklabels(['12 AM', '6 AM', '12 PM', '6 PM', '12 AM'])
ax.set_title('Network Traffic by Protocol (Daily)', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Hour', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Bandwidth (Gbps)', color=COLORS['text'], fontsize=11)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False,
labelcolor=COLORS['text'], fontsize=9, ncol=5)
for spine in ax.spines.values():
spine.set_visible(False)
ax.tick_params(colors=COLORS['text'], labelsize=9)
plt.tight_layout()
plt.subplots_adjust(bottom=0.18)
plt.show()
Library
Matplotlib
Category
Time Series
More Stream Graph examples
☕