Stream Graph
API Requests by Endpoint Stream
Stream visualization of API traffic distribution across different endpoints.
Output
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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