CPU Temperature Distribution

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(204)

idle = np.random.normal(40, 8, 400)
load = np.random.normal(65, 12, 400)
stress = np.random.normal(85, 10, 200)
cpu_temp = np.concatenate([idle, load, stress])
cpu_temp = cpu_temp[(cpu_temp > 25) & (cpu_temp < 105)]

kde = stats.gaussian_kde(cpu_temp)
x = np.linspace(25, 105, 500)
y = kde(x)

colors = ['#1e3a8a', '#3b82f6', '#22d3ee', '#fbbf24', '#f97316', '#dc2626']

fig, ax = plt.subplots(figsize=(12, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

for i in range(len(x)-1):
    norm_val = (x[i] - 25) / 80
    color_idx = int(norm_val * (len(colors) - 1))
    color_idx = max(0, min(color_idx, len(colors)-1))
    ax.fill_between(x[i:i+2], y[i:i+2], alpha=0.6, color=colors[color_idx])

ax.plot(x, y, color='#374151', linewidth=2.5)

thresholds = [(50, 'Cool'), (70, 'Warm'), (85, 'Hot'), (95, 'Critical')]
for val, label in thresholds:
    ax.axvline(val, color='#9ca3af', linestyle='--', linewidth=1.5, alpha=0.7)
    ax.text(val+1, max(y)*0.9, label, color='#6b7280', fontsize=8, fontweight='bold')

ax.set_xlabel('Temperature (C)', fontsize=12, color='#1f2937', fontweight='500')
ax.set_ylabel('Density', fontsize=12, color='#1f2937', fontweight='500')
ax.set_title('CPU Temperature Distribution Under Load', fontsize=16, color='#1f2937', fontweight='bold', pad=15)

ax.tick_params(colors='#374151', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#d1d5db')
ax.grid(True, alpha=0.3, color='#e5e7eb')
ax.set_xlim(25, 105)

plt.tight_layout()
plt.show()