Data Center Temperature Distribution

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

np.random.seed(209)

temps = np.random.normal(22, 3, 1000)
temps = temps[(temps > 12) & (temps < 35)]

kde = stats.gaussian_kde(temps)
x = np.linspace(12, 35, 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] - 12) / 23
    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)

ax.axvspan(18, 27, alpha=0.15, color='#22d3ee', label='ASHRAE Recommended (18-27C)')
ax.axvline(15, color='#3b82f6', linestyle='--', linewidth=1.5, label='Too Cold (<15C)')
ax.axvline(30, color='#dc2626', linestyle='--', linewidth=2, label='Too Hot (>30C)')

ax.set_xlabel('Temperature (C)', fontsize=12, color='#1f2937', fontweight='500')
ax.set_ylabel('Density', fontsize=12, color='#1f2937', fontweight='500')
ax.set_title('Data Center Temperature Distribution', 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.legend(loc='upper right', facecolor='#f9fafb', edgecolor='#d1d5db', labelcolor='#374151', fontsize=9)
ax.grid(True, alpha=0.3, color='#e5e7eb')
ax.set_xlim(12, 35)

plt.tight_layout()
plt.show()