Server Requests vs Response Size

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

np.random.seed(42)

# Server metrics
requests_per_sec = np.random.exponential(100, 5000)
response_size = np.random.exponential(50, 5000) + requests_per_sec * 0.1  # KB

fig, ax = plt.subplots(figsize=(10, 8), facecolor='#020B14')
ax.set_facecolor('#020B14')

# Custom colormap: deep_purple to pink to coral
colors = ['#020B14', '#1a0d2e', '#5314E6', '#F527B0', '#F5276C']
cmap = LinearSegmentedColormap.from_list('server', colors, N=256)

h = ax.hist2d(requests_per_sec, response_size, bins=50, cmap=cmap, cmin=1)
cbar = plt.colorbar(h[3], ax=ax, pad=0.02)
cbar.set_label('Samples', color='white', fontsize=11)
cbar.ax.yaxis.set_tick_params(color='white')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='white')

ax.set_xlabel('Requests/sec', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Response Size (KB)', fontsize=11, color='white', fontweight='500')
ax.set_title('Server Requests vs Response Size', fontsize=14, color='white', fontweight='bold', pad=15)

ax.tick_params(colors='white', labelsize=9)
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()