API Response Time Matrix

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
endpoints = ['GET /users', 'POST /auth', 'GET /products', 'PUT /orders', 'DELETE /cart', 'GET /search']
hours = [f'{h:02d}:00' for h in range(0, 24, 2)]
data = np.random.exponential(50, (len(endpoints), len(hours))) + np.random.rand(len(endpoints), len(hours)) * 100

# Modern gradient: Mint to Teal to Deep Sea
colors = ['#d1fae5', '#6ee7b7', '#14b8a6', '#0f766e', '#134e4a']
cmap = LinearSegmentedColormap.from_list('modern', colors, N=256)

im = ax.imshow(data, cmap=cmap, aspect='auto')

ax.set_xticks(range(len(hours)))
ax.set_yticks(range(len(endpoints)))
ax.set_xticklabels(hours, rotation=45, ha='right', color='#374151', fontsize=9)
ax.set_yticklabels(endpoints, color='#1f2937', fontsize=10, fontweight='500')

for i in range(len(endpoints)):
    for j in range(len(hours)):
        val = data[i, j]
        color = '#ffffff' if val > 100 else '#1f2937'
        ax.text(j, i, f'{val:.0f}', ha='center', va='center', color=color, fontsize=8, fontweight='500')

cbar = plt.colorbar(im, ax=ax, shrink=0.8, pad=0.02)
cbar.set_label('Response Time (ms)', color='#1f2937', fontsize=11)
cbar.outline.set_edgecolor('#e5e7eb')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#6b7280')

for spine in ax.spines.values():
    spine.set_color('#e5e7eb')
ax.set_xlabel('Hour of Day', fontsize=11, color='#374151', fontweight='500')
ax.set_ylabel('Endpoint', fontsize=11, color='#374151', fontweight='500')
ax.set_title('API Response Time by Endpoint & Hour', fontsize=16, color='#111827', fontweight='bold', pad=15)
plt.tight_layout()
plt.show()