Temperature Distribution by Month

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

np.random.seed(42)
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
base_temps = [5, 7, 12, 16, 20, 25, 28, 27, 23, 17, 11, 6]

fig, ax = plt.subplots(figsize=(12, 10), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

colors = ['#27D3F5', '#27F5B0', '#6CF527', '#D3F527', '#F5B027', '#F54927', 
          '#F5276C', '#F527B0', '#4927F5', '#276CF5', '#27D3F5', '#27F5B0']

x = np.linspace(-10, 45, 200)
overlap = 2.5

for i, (month, base, color) in enumerate(zip(months, base_temps, colors)):
    data = np.random.normal(base, 4, 1000)
    kde = stats.gaussian_kde(data)
    y = kde(x) * 12
    y_offset = i * overlap
    
    ax.fill_between(x, y_offset, y + y_offset, alpha=0.85, color=color, edgecolor='white', linewidth=0.8)
    ax.text(-14, y_offset + 0.3, month, fontsize=10, color='white', va='center', ha='right', fontweight='500')

ax.set_xlim(-18, 45)
ax.set_ylim(-0.5, len(months) * overlap + 3)
ax.set_xlabel('Temperature (°C)', color='white', fontsize=11, fontweight='500')
ax.set_title('Temperature Distribution by Month', color='white', fontsize=14, fontweight='bold', pad=20)
ax.tick_params(colors='#888888', labelsize=9)
ax.set_yticks([])
for spine in ax.spines.values():
    spine.set_visible(False)
ax.spines['bottom'].set_visible(True)
ax.spines['bottom'].set_color('#333333')

plt.tight_layout()
plt.show()