CPU Temperature vs Load

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

np.random.seed(42)

# CPU metrics
load = np.random.beta(2, 2, 5000) * 100
temp = 35 + load * 0.4 + np.random.normal(0, 5, 5000)
temp = np.clip(temp, 30, 95)

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

# Custom colormap: cyan to red (temperature scale)
colors = ['#020B14', '#0d2d3d', '#27D3F5', '#F5B027', '#C82909']
cmap = LinearSegmentedColormap.from_list('temp', colors, N=256)

h = ax.hist2d(load, temp, 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('CPU Load (%)', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Temperature (°C)', fontsize=11, color='white', fontweight='500')
ax.set_title('CPU Temperature vs Load', 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()