Stream Graph

API Requests by Endpoint Stream

Stream visualization of API traffic distribution across different endpoints.

Output
API Requests by Endpoint Stream
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'background': '#0a0a0f',
    'text': '#ffffff',
    'grid': '#333333',
}

np.random.seed(2929)
hours = np.arange(0, 24)

users_api = 30 + 15 * np.sin(hours * np.pi / 12) + np.random.normal(0, 2, 24)
products_api = 25 + 12 * np.sin(hours * np.pi / 12 - 0.5) + np.random.normal(0, 2, 24)
orders_api = 20 + 18 * np.exp(-((hours - 14)**2) / 15) + np.random.normal(0, 2, 24)
auth_api = 15 + 8 * np.sin(hours * np.pi / 12 + 0.5) + np.random.normal(0, 1, 24)
analytics_api = 10 + 5 * np.cos(hours * np.pi / 8) + np.random.normal(0, 1, 24)

data = [np.clip(d, 1, None) for d in [users_api, products_api, orders_api, auth_api, analytics_api]]
colors = ['#6CF527', '#27D3F5', '#F5276C', '#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=['/users', '/products', '/orders', '/auth', '/analytics'])

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('API Traffic by Endpoint', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Hour', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Requests/min (thousands)', 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

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