Oven Cooking Temperature Distribution

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

np.random.seed(205)

low = np.random.normal(150, 20, 200)
medium = np.random.normal(180, 15, 400)
high = np.random.normal(220, 20, 300)
temps = np.concatenate([low, medium, high])
temps = temps[(temps > 100) & (temps < 280)]

kde = stats.gaussian_kde(temps)
x = np.linspace(100, 280, 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] - 100) / 180
    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)

recipes = [(150, 'Slow Cook'), (180, 'Baking'), (200, 'Roasting'), (230, 'Pizza')]
for val, label in recipes:
    ax.axvline(val, color='#9ca3af', linestyle='--', linewidth=1.5, alpha=0.7)
    ax.text(val+3, max(y)*0.85, label, color='#6b7280', fontsize=8, rotation=90, va='top')

ax.set_xlabel('Temperature (C)', fontsize=12, color='#1f2937', fontweight='500')
ax.set_ylabel('Density', fontsize=12, color='#1f2937', fontweight='500')
ax.set_title('Oven Cooking 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.grid(True, alpha=0.3, color='#e5e7eb')
ax.set_xlim(100, 280)

plt.tight_layout()
plt.show()