Systolic Blood Pressure Distribution

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

np.random.seed(102)

bp = np.random.normal(125, 18, 1000)
bp = bp[(bp > 80) & (bp < 200)]

kde = stats.gaussian_kde(bp)
x = np.linspace(80, 200, 500)
y = kde(x)

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

for i in range(len(x)-1):
    if x[i] < 120:
        color = '#6CF527'
    elif x[i] < 130:
        color = '#27D3F5'
    elif x[i] < 140:
        color = '#F5B027'
    else:
        color = '#F5276C'
    ax.fill_between(x[i:i+2], y[i:i+2], alpha=0.5, color=color)

ax.plot(x, y, color='#27D3F5', linewidth=3)

zones = [(120, 'Normal'), (130, 'Elevated'), (140, 'High'), (180, 'Crisis')]
for val, label in zones:
    ax.axvline(val, color='#9ca3af', linestyle='--', linewidth=1.5, alpha=0.7)

ax.set_xlabel('Systolic Blood Pressure (mmHg)', fontsize=12, color='#1f2937', fontweight='500')
ax.set_ylabel('Density', fontsize=12, color='#1f2937', fontweight='500')
ax.set_title('Systolic Blood Pressure 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(80, 200)

plt.tight_layout()
plt.show()